Australian System of National Accounts: Concepts, Sources and Methods
This publication outlines the major concepts, definitions, data sources and methods used to prepare the National Accounts estimates
Preface
The national accounts explain how the Australian economy operates, and how it evolves over time, by measuring, classifying, and aggregating these transactions. Gross Domestic Product (GDP) is the highest profile estimate, but the Australian System of National Accounts (ASNA) cover a range of other economic measures. These include a full set of flow accounts for each sector of the economy (income, capital and financial), input-output (I-O) tables, supply-use (S-U) tables, satellite accounts, state-based estimates, balance sheets, reconciliation accounts, and productivity estimates.
This publication is a guide to the Australian System of National Accounts. It outlines the major concepts and definitions, describes the data sources and methods used to prepare the estimates, and discusses the accuracy and reliability of the national accounts.
It is designed for both intensive users, such as economic and financial analysts, as well as less intensive users looking to gain a better understanding of national accounts, or the Australian economy in general.
This is the seventh edition of Australian System of National Accounts: Concepts, Sources and Methods. The chapters released in this edition have been updated to reflect changes made to the sources and methods used to compile the Australian System of National Accounts undertaken since the sixth edition.
This is consistent with the following ABS publications, inclusive of the most recent releases:
- Australian System of National Accounts (annual publication)
- Australian National Accounts: State Accounts (annual publication)
- Australian National Accounts: Tourism Satellite Account (annual publication)
- Australian National Accounts: National Income, Expenditure and Product (quarterly publication)
- Australian National Accounts: Finance and Wealth (quarterly publication)
The first edition of the Australian System of National Accounts: Concepts, Sources and Methods, in its current format, was published in July 2012. This was timed to reflect implementation of the 2008 System of National Accounts (2008 SNA), the Sixth Edition of the IMF’s Balance of Payments and International Investment Position Manual (BPM6) and the 2006 Australian and New Zealand Standard Industrial Classification (ANZSIC06).
The second edition was published in September 2012, and included the chapter on the concepts, sources and methods that underpin the Australian input-output tables.
The third edition was published in December 2012, and included five additional chapters covering productivity and analytical measures; state accounts; satellite and environmental-economic accounts; and the quality of the national accounts.
The fourth (December 2013), fifth (January 2015), sixth (March 2015) and seventh (July 2021) editions reflected changes to the sources and methods used to compile the Australian System of National Accounts. None of these editions included new chapters.
The seventh edition was the last to be released in a pdf format before the ABS launched a web-based version of this publication in 2022.
Katherine Keenan
Program Manager, Production, Income and Expenditure
Updates
In 2024, the ABS embarked on a program to update the web-based version of Australian System of National Accounts: Concepts, Sources and Methods on an ongoing basis. This will ensure users have access to the most up-to-date concepts, data sources and methodologies used to compile the National Accounts.
Updates are listed below by chronological order starting with March 2024. The specific details of content changes are provided under the relevant section along with previous content for comparison.
March 2024
October 2024
Data Download - Printable version
To view the original version of the seventh edition as a pdf file click here.
Chapter 1 Introduction
1.1 This chapter describes the nature, purpose and history of the Australian System of National Accounts as well as key improvements since the previous update in 2015. The ASNA is based on the international standard, the System of National Accounts, 2008. The 2008 SNA ensures consistency with related manuals, such as the International Monetary Fund Balance of Payments and International Investment Position Manual, Sixth Edition, which was updated simultaneously with the 2008 SNA, as well as Australian Government Finance Statistics, Concepts, Sources and Methods 2015 (AGFS15). Coinciding with the implementation of the revised international standards, the ASNA currently adopts the 2006 Australian and New Zealand Standard Industrial Classification.
1.2 Although balance of payments and government finance statistics are an integral part of the Australian National Accounts, a description of concepts and data sources used for these statistics is included only for those aggregates that appear in the National Accounts. A detailed discussion of the key improvements introduced into the ASNA as a result of 2008 SNA implementation can also be found in Information Paper: Implementation of new international statistical standards in ABS National and International Accounts, (September 2009). For a more detailed description of balance of payments statistics, see Balance of Payments and International Investment Positions, Australia: Concepts, Sources and Methods and for Government Finance Statistics, see AGFS15.
Nature, purpose and history of National Accounts
Nature and purpose of National Accounts
1.3 National Accounts provide a systematic statistical framework for summarising and analysing economic events, the wealth of an economy, and its components. Historically, the principal economic events recorded in the National Accounts have been production, consumption, and accumulation of wealth. National Accounts have also recorded the income generated by production, the distribution of income among the factors of production and the use of the income, either for consumption or acquisition of assets. The modern accounts additionally record the value of the economy's stock of assets and liabilities, and record the events, unrelated to production and consumption, that bring about changes in the value of the wealth stock. Such events can include revaluations, write-offs, growth and depletion of natural assets, catastrophes, and transfers of natural assets to economic activity.
1.4 The national accounting framework has always consisted of a set of accounts that are balanced using the principles of double entry accounting. However, the accounts are now fully integrated in that there is a balance between the value of assets and liabilities at the beginning of an accounting period, the transactions and other economic events that occur during the accounting period, and the closing values of assets and liabilities. Accounts for the economy as a whole are supported by accounts for the various sectors of the economy, such as those relating to the government, households and corporate entities. The framework also embraces other, more detailed, accounts such as financial accounts and I-O tables, and provides for additional analyses through social accounting matrices and satellite accounts designed to reflect specific aspects of economic activity such as tourism, health and the environment. By applying suitable price measures, the National Accounts can be presented in volume terms as well as in current prices. The time series of the National Accounts can also be adjusted to remove seasonal distortions and to disclose trends.
1.5 National accounting information can serve many different purposes. In general terms, the main purpose of the National Accounts is to provide information that is useful in economic analysis and formulation of macroeconomic policy. The economic performance and behaviour of an economy as a whole can be monitored using information recorded in the National Accounts. National Accounts data can be used to identify causal relationships between macroeconomic variables and can be incorporated in economic models that are used to test hypotheses and make forecasts about future economic conditions. Using National Accounts data, analysts can gauge the impact of government policies on sectors of the economy, and the impact of external factors such as changes in the international economy. Economic targets can be formulated in terms of major national accounting variables, which can also be used as benchmarks for other economic performance measures, such as tax revenue as a proportion of gross domestic product or the contribution of government to national saving. Provided that the National Accounts are compiled according to international standards, they can be used to compare the performance of the economies of different nations.
1.6 However, the full range of information available from a comprehensive national accounting system can serve purposes well beyond immediate concerns of macroeconomic analysts. For example, National Accounts information can be used to analyse income and wealth distribution, financial and other markets, resource allocation, the incidence of taxes and welfare payments, environmental issues, productivity, industry performance, and so on. In fact, the range of analytical purposes that can be served by a complete system of National Accounts has no well-defined limits, and the body of National Accounts data can be seen as a multi-purpose data base that can be used with a high degree of flexibility.
1.7 Surveys and other statistical systems that employ the concepts in the national accounting framework will produce information that is consistent with the National Accounts and with other statistics that are based on the National Accounts framework.
Brief history of National Accounts
1.8 The idea of estimating national income can be traced back to the seventeenth century. Interest in raising revenue and in assessing England's war potential led to attempts by Sir William Petty in 1665 and Gregory King in 1688 to estimate the national income as either the sum of factor incomes or the sum of expenditures. A little later, Boisguillebert and Vauban used a similar approach in estimating France's national income.
1.9 The eighteenth century French economists called the Physiocrats took a step backwards when they restricted the concept of national income by arguing that only agriculture and the extractive industries were productive. However, Quesnay, one of the Physiocrats, set out the interrelationships between the various activities in the economy in his tableau economique, published in 1758, which was the forerunner of the twentieth century work on I-O statistics.
1.10 In his book, the An Inquiry into the Nature and Causes of the Wealth of Nations, Adam Smith rejected the Physiocrats' view of the pre-eminent position of agriculture, by recognising manufacturing as another productive activity. However, Smith and the early classical school of economists that he founded did not recognise the rendering of services as productive activity. Karl Marx was also of this view, and the notion persisted in the material product system of National Accounts that was used, until recently, by the centrally planned economies.¹
1.11 Some English economists, in particular Ricardo and Marshall, further refined the concept of production and in the 1920s the welfare economists led by Pigou undertook the first effective measurement of national income.
1.12 The Great Depression of the 1930s, and the attempts by Keynes and others to explain what was happening to the world economy, led economists away from their preoccupation with national income as a single measure of economic welfare. Instead, they attempted to use the new Keynesian General Theory to develop a statistical model of the workings of the economy that could be used by government to develop prescriptions for a high and stable level of economic activity. By the end of the 1930s, the elements of a national accounting system were in place in several countries. The models of Ragnar Frisch and Jan Tinbergen stand out in this period as path-breaking achievements.
1.13 The economic modelling task was given further impetus in the 1940s; first, by the need to efficiently run war-time economies; second, by the publication in 1941 of Wassily Leontief's classic I-O study The Structure of the American Economy; third, by the post-war acceptance by governments of full responsibility for national and international economic management; and last, by the League of Nations publication of an important report about social accounting. By the end of the decade, integrated statistical reporting systems and formal national accounting structures were in place in Australia, the United States, the United Kingdom, Canada, the Scandinavian countries, the Netherlands and France.
1.14 The need of international organisations for comparable data about the economies of member countries was one important factor that prompted development of international standards for national accounting in the late 1940s and early 1950s. The Organisation for European Economic Co-operation sponsored the work of Richard Stone's National Accounts Research Unit at Cambridge University, from which emerged the now-familiar summary accounts of the nation.² Then the United Nations Statistical Office convened its first expert group on the subject. It was also headed by Stone and, in 1953, produced the publication, A System of National Accounts and Supporting Tables (SNA)³, which described the first version of the system that has become the accepted world-wide standard for producing National Accounts.
1.15 There were several other important developments in national accounting in the 1950s. M.A. Copeland and his colleagues in the United States Federal Reserve System prepared the first flow-of-funds tables, which analysed transactions in financial markets. A few countries increased the frequency of National Accounts information by producing quarterly estimates of national income and expenditure (so that their governments could better monitor the business cycle) and also produced information classified by industry and institutional sector (to identify growth industries, poorly performing institutional sectors etc.).
1.16 National accounting's modern era could be said to have started in 1968. In that year, the United Nations Statistical Office published a fully revised version of the SNA, which drew together all the various threads of economic accounting: estimates of national income and expenditure (including estimates at constant prices); I-O production analysis; flow-of-funds financial analysis; and balance sheets of national wealth.⁴ In 1977 the United Nations Statistical Office published detailed international guidelines on the compilation of balance sheet and reconciliation accounts within the SNA framework.⁵
1.17 Since 1968, changes in the structure and nature of economies, the increasing sophistication and growth of financial markets and instruments, emphasis on the interaction of the economy with the environment and other considerations pointed to a need to update the SNA. The task of updating and revising the SNA was coordinated from the mid-1980s by the Inter-secretariat Working Group on National Accounts, working with the assistance of international organisations and experts from national statistical offices around the world. The Working Group consisted of the Commission of the European Communities (Eurostat), the International Monetary Fund (IMF), the Organisation for Economic Co-operation and Development (OECD), the United Nations (UN) and the World Bank. The resulting 1993 SNA was released under the auspices of those five organisations.⁶
1.18 The 1993 SNA aimed to clarify and simplify the 1968 System, while updating the System to reflect new circumstances. The 1993 SNA fully integrated national income, expenditure and product accounts, I-O tables, financial flow accounts and national balance sheets to enable the examination of production relationships and their interaction with countries' net worth and financial positions. 1993 SNA also introduced the concept of satellite accounts to extend the analytical capacity of National Accounts in areas such as tourism, health and the environment. It was one of a quartet of 'harmonised' international statistical standards that included the standards set out in the IMF publications, Balance of Payments Manual 1993 (fifth edition) (BPM5), Manual of Monetary and Financial Statistics (MMFS), and A Manual of Government Finance Statistics (second edition) (GFS). In this context, 'harmonisation' means that the standards employ common concepts and definitions so that valid comparisons can be made of statistics produced from each of the four systems. Complete alignment of the standards was neither feasible nor necessary, because each system serves different purposes. Each system therefore had a proportion of unique concepts and definitions.
1.19 The 2008 SNA was commissioned by the United Nations Statistical Commission to bring the national accounting framework as outlined in the 1993 SNA into line with the needs of data users. It was considered that the economic environment in many countries has evolved significantly since the early 1990s and, in addition, methodological research had resulted in improved methods of measuring some of the more difficult components of the accounts. The 2008 SNA does not recommend fundamental or comprehensive changes. Further consistency with related manuals, such as those on the balance of payments (which was updated simultaneously with the 2008 SNA), on government finance statistics and on monetary and financial statistics, was an important consideration. Therefore, there is more harmonisation between the 2008 SNA and related manuals. The key changes fell into five main groups: assets; the financial sector; globalisation and related issues; the general government (GG) and public sectors; and the informal sector. Australia's policy is to apply each of the standards to the highest feasible degree, a high level of harmonisation will be found between the Australian National Accounts and Australia's balance of payments, government finance, and monetary and finance statistics.
Endnotes
National Accounts in Australia
1.20 Australia pioneered work on national wealth in 1890 when Coghlan (the New South Wales Government Statistician) prepared rudimentary balance sheets for New South Wales. However, it was not until almost sixty years later, at the Conference on Research in Income and Wealth in 1948, that national balance sheets again received serious international attention.
1.21 The first official estimates of national income for Australia (based on estimates prepared by Clark and Crawford) were published in 1938 in The Australian Balance of Payments, 1928-29 to 1937-38, although unofficial estimates by several economists had been published in the 1920s and 1930s.⁷ In 1945, the first official set of National Accounts was prepared by the then Commonwealth Bureau of Census and Statistics (CBCS) and published in the Commonwealth Budget Paper Estimates of National Income and Public Authority Income and Expenditure.
1.22 The 1960s and early 1970s were times of significant development for Australian national accounting. The first official quarterly estimates of national income and expenditure were published in December 1960.⁸ In 1963 the CBCS published the first Australian National Accounts: National Income and Expenditure (ANA) bulletin, which included the first annual constant price estimates for Australia.⁹ Experimental I-O estimates were published in 1964.¹⁰ The CBCS began to seasonally adjust its quarterly estimates of national income and expenditure in 1967. Estimates of gross product by industry at constant prices were published for the first time in 1969.¹¹ In 1971, the CBCS first published seasonally adjusted, constant price quarterly estimates of national income and expenditure, which later proved to be among the most used of all national accounting estimates. The CBCS published estimates of national income and expenditure based on the revised SNA (1968 version) in 1973, and also published the first official I-O statistics in the same year.¹²
1.23 In the 1980s, the former CBCS, now called the Australian Bureau of Statistics (ABS), again made significant progress in national accounting. The first full edition of Australian National Accounts: Concepts, Sources and Methods was published in 1981 at about the same time as the first experimental estimates of capital stock.¹³ The ABS conducted a study into the accuracy and reliability of the quarterly estimates of national income and expenditure and published the results in 1982.¹⁴ Experimental State accounts¹⁵ were published in 1984, followed by the first official estimates in 1987.¹⁶ They are now published annually in Australian National Accounts: State Accounts. In 1985, the ABS published an assessment of the effects of rebasing constant price estimates from a 1979-80 base to a 1984-85 base.¹⁷ In 1986, the second set of experimental estimates of capital stock was published¹⁸ followed in 1987 by the first official estimates of capital stock.¹⁹ The first quarterly estimates of constant price gross product by industry were released in 1988.²⁰ These estimates were subsequently incorporated into the quarterly publication, Australian National Accounts: National Income, Expenditure and Product.
1.24 Further significant developments in national accounting and associated statistics occurred during the 1990s. In 1990, the first estimates of multifactor productivity were published.²¹ In 1990, the ABS also published developmental flow of funds accounts, showing the changes in financial assets and liabilities arising from the financing of productive activity in the economy.²² Flow of funds estimates are now published on a quarterly basis, along with estimates of stocks of financial assets and liabilities at the end of each quarter. An Information Paper describing the impact of rebasing constant price estimates from a 1984-85 base to a 1989-90 base was published in 1993.²³ Experimental estimates of national balance sheets for Australia were first released in 1995, followed by the publication of regular annual national and sector balance sheet estimates in 1997.²⁴ Australian National Accounts: Supply Use Tables commencing 1994-95 were first introduced (but not published) into the annual National Accounts in 1998, in conjunction with the implementation of 1993 SNA, as an integral part of the annual compilation of Gross Domestic Product (GDP). They ensure GDP is balanced for all three approaches (production, expenditure and income) and provide the annual benchmarks from which the quarterly estimates are compiled.
1.25 The 1993 SNA was formally introduced into the National Accounts in the September quarter 1998 issue of Australian National Accounts: National Income, Expenditure and Product, which was released in December 1998. Prior information on the nature and impact of implementation of the revised standards and methods was provided in a series of discussion and information papers as follows:
- Discussion paper: Introduction of Revised International Statistical Standards in ABS, December, 1994.
- Information Paper: Implementation of Revised International Standards in the Australian National Accounts, September, 1997.
- Information Paper: Australian National Accounts, Introduction of Chain Volume Measures and Price Indexes, March, 1998.
1.26 Preliminary data on a 1993 SNA basis were made available in re-releases of the following publications:
- Australian National Accounts: National Income, Expenditure and Product, June quarter, 1998 re-released in November 1998 in Information Paper: Upgraded Australian National Accounts.
- Australian National Accounts: Finance and Wealth, June quarter, 1998 re-released in December 1998 in Information Paper: Upgraded Australian National Accounts.
1.27 The first annual national accounts publication on a 1993 SNA basis was Australian System of National Accounts, 1997-98, released in April 1999. This publication provided comprehensive national and sectoral accounts, including balance sheets, as well as estimates of capital stock and multifactor productivity. A significantly updated edition of Australian National Accounts: Concepts, Sources and Methods was published in 2000. It outlined the implementation of the 1993 SNA in the national accounts statistics of Australia.
1.28 There were major changes to the Australian tax system from 1 July 2000 with the introduction of The New Tax System (TNTS). A major feature of the new arrangements was the introduction of a goods and services tax (GST), which affected the prices of a broad range of goods and services in the economy. The GST replaced wholesale sales taxes (WST) and a number of other taxes on production and imports, although not all of these taxes were abolished from 1 July 2000. The introduction of the GST was accompanied by reductions in personal income tax rates and increases in social security payments. There were also changes to company tax arrangements. The information paper, ABS Statistics and The New Tax System, and the feature article in the March quarter 2000 issue of Australian National Accounts: National Income, Expenditure and Product, provide more detail on the impact of this change. The TNTS was introduced into the National Accounts in the September quarter 2000 issue of Australian National Accounts: National Income, Expenditure and Product and 2000-01 issue of the Australian System of National Accounts.
1.29 The first Australian National Accounts: Tourism Satellite Account, 1997-98 was published in 2000 on a pre-GST basis and post-GST from 2002 annually. There have been other satellite accounts published occasionally, namely the Australian National Accounts: Non-Profit Institutions Satellite Account in 2002 and 2009, and the Australian National Accounts: Information and Communication Technology Satellite Account in 2006.
1.30 A significant development in state accounts occurred in 2007 with the estimation of Gross State Product using the production approach (GSP(P)). Consequently, the headline measure of GSP was the average of the existing GSP estimated using the income/expenditure approach and GSP(P). The first estimates were released in Australian National Accounts State Accounts in 2006-07. The information paper, Gross State Product using the Production Approach GSP(P) outlined the methods and sources for estimating GSP(P).
1.31 In February 2012, the System of Environmental and Economic Accounting (SEEA) was elevated as an international statistical standard. Additional parts to the SEEA, namely applications and ecosystems, are still in development. This development process occurred over many years and the ABS was, and will continue to be, at the forefront of the international efforts. Crucially, the SEEA is fully integrated with SNA concepts and therefore provides harmonised information across the environment and economic domains. Where necessary, environmental accounting can extend the asset and production boundaries of the SNA framework to better encapsulate the environment and its resources. The ABS releases a range of annual accounts including Water Account, Australia and Energy Account, Australia and Waste Account, Australia, Experimental Estimates. Land accounts for selected States and regions of Australia are also available, and progress has been made developing environmental expenditure accounts (see discussion paper).
1.32 The 2008 SNA was formally introduced into the National Accounts in the September quarter 2009 issue of Australian National Accounts: National Income, Expenditure and Product and the annual release of Australian System of National Accounts, 2008-09, which were released in December 2009. Prior information on the nature and impact of implementation of the revised standards and methods was provided in the following information papers:
- Information Paper: Introduction of Revised International Standards in ABS Economic Statistics in 2009, September, 2007
- Information Paper: Implementation of New International Standards in ABS National and International Accounts, October, 2009
1.33 The standards set out in the 2008 SNA (as well as 1993 SNA) are designed to be applied with a degree of flexibility, and Australia's implementation of the standards reflect local conditions and requirements. Furthermore, decisions are made in isolated instances to depart from the standards because of strong user preference for an alternative view and such departures are noted at appropriate points throughout this manual. The departures are relatively minor and, consequently, they do not affect the comparability of National Accounts information reported by the ABS to international organisations such as the UN and the OECD to a significant extent. A list of the main departures from 2008 SNA is provided in Appendix 2.
Endnotes
Purpose of concepts, sources and methods
1.34 The main purpose of this manual is to provide users with an in-depth understanding of the National Accounts statistics as an aid to more effective use and interpretation of the statistics. A detailed understanding of the underlying statistical standards and concepts, and of the methods used to compile the statistics, should enable users to make better judgements about the economic significance, quality and accuracy of the statistics. To achieve this aim, this manual provides an updated account of the concepts, sources and methods used to compile the Australian National Accounts statistics. A number of appendices are also included to provide additional information on particular aspects of national accounting, such as the classifications underlying the accounts.
1.35 Wide spectrums of audiences require information about National Accounts concepts, sources and methods. These range from users with broad, general needs for information about the main aggregates to those with highly specialised needs relating to particular data items. The main categories of users, and their likely needs, are set out below:
- students at upper high school level or undergraduate level at university – the need is for a broad understanding of the conceptual framework, how the numbers are put together, and the main outputs (publication tables, written and graphic analysis, and explanatory notes) to gain an appreciation of the current performance of the Australian economy;
- financial journalists – the need is for a broad understanding of the conceptual framework, how the numbers are put together, and the main outputs, to support media comment on the current performance of the Australian economy. These users may need to delve deeper into particular aspects;
- teachers/teaching academics – a broad understanding of the conceptual framework, how the numbers are put together, and the main outputs, to support teaching about Australia’s economy. These users may also need to delve deeper into particular aspects;
- financial sector economists, economists working for interest groups, national and international investors, public sector economists in other countries, and international credit rating agencies – a reasonably detailed understanding of the conceptual framework, the sources and how the numbers are put together, to support their interpretation of the statistics and advice to their organisations and clients;
- international agencies such as the IMF, the OECD, the World Bank and the United Nations Statistics Division – generally these agencies require a reasonably detailed understanding of all aspects of the statistics. Their uses encompass monitoring the extent of country adherence to international standards and practices, the compilation of country groupings and world economic statistics, and modelling work to support the preparation of country reports;
- academic researchers – a reasonably detailed understanding of the conceptual framework, the sources, and how the numbers are put together, with more detail on particular accounts/items to support research and modelling;
- National Accounts compilers in other countries – a reasonably detailed understanding of Australian sources and methods, with more detail on particular accounts/items, to compare with their own practices; and
- the Commonwealth Treasury, the Reserve Bank of Australia (RBA), the Productivity Commission and other public sector economists – a reasonably detailed understanding of Australian sources and methods to support their interpretation of the numbers and forecasting of national accounting aggregates.
1.36 For students and others who need only a broad understanding of the National Accounts statistics, the ABS publication, Measuring Australia’s Economy provides a brief overview of the concepts, structure and classifications of these and the other major economic statistics published by the ABS. The present concepts, sources and methods document should prove a useful extension, but for the most part it may be too detailed for this audience.
1.37 The present document is aimed mainly at the user of National Accounts statistics who is interested in the more detailed aspects. However, it is not a complete description of the ABS National Accounts methodology. That task would require a much larger publication. This publication aims to provide a substantial guide to what the ABS does to compile National Accounts.
The Australian System of National Accounts
Scope of the Australian System of National Accounts
1.38 The ASNA forms a body of statistics that incorporates a wide range of information about the Australian economy and its components. In addition to the long-standing statistics of national income, expenditure and product, the accounts include the financial accounts, I-O tables, balance sheet statistics (including capital stock statistics), multifactor productivity statistics, state accounts, and satellite accounts. The ultimate scope of the ASNA encompasses the full range of statistics that the 2008 SNA recommends for a complete national accounting system. However, like most other countries, Australia does not yet compile the full range of information recommended in the 2008 SNA. The areas where the ABS is yet to implement the 2008 SNA recommendations are identified at relevant points throughout this manual and are summarised in Appendix 2, Differences between ASNA and 2008 SNA.
1.39 The current scope of the ASNA is best described by the list of statistical bulletins that comprise the ASNA data. These are as follows:
- Australian System of National Accounts (ASNA) – annual;
- Australian National Accounts: National Income, Expenditure and Product (NIEP) – quarterly;
- Australian National Accounts: Input-Output Tables – annual;
- Australian National Accounts: Supply Use Tables – annual;
- Australian National Accounts: State Accounts – annual;
- Australian National Accounts: Finance and Wealth – quarterly;
- Estimates of Industry Multifactor Productivity – annual;
- Estimates of Industry Level KLEMS Multifactor Productivity – annual;
- Australian National Accounts: Tourism Satellite Accounts – annual;
- Australian National Accounts: Non-Profit Institutions Satellite Accounts – irregular; and
- Australian National Accounts: Information and Communication Technology Satellite Accounts – irregular.
1.40 The data on capital stock and balance sheet that were previously available in a separate annual publications are now included in the ASNA.
1.41 In general terms, the information published in the ASNA and NIEP covers the economic transactions related to the economic functions of production, consumption and accumulation of wealth. The functions are recorded in a central set of accounts comprising a gross domestic product account, a national income account, a national capital account, a financial account and a balance sheet. Important economic variables such as gross domestic product, disposable income, final consumption expenditure, gross saving, net lending or borrowing and net worth are recorded in these accounts. Changes to the balance sheet values of financial assets and liabilities arising from events other than transactions (for example, write-offs and revaluations) are recorded in the ASNA. Supporting accounts in these publications provide further breakdowns (for example, by institutional sector and industry) of the variables recorded in the central accounts.
1.42 The information published in the Input-Output Tables and State Accounts can be described as further disaggregations of information included in the ASNA. For example, in the central Supply Use table, the economy's total supply of products is shown according to the industries that produced the products, and the use of products by each industry is recorded, as are the factor incomes generated by each industry. The information published in the State Accounts provides a summary record for each Australian State and Territory of the production account published in the ASNA.
1.43 Finance and Wealth includes disaggregations of information published in the ASNA and NIEP, but also includes disaggregations of balance sheet information for financial assets and liabilities. The financial accounts include flow of funds statistics, which provide sectoral capital accounts with the corresponding sectoral financial account. The financial accounts provide a breakdown (financial instrument cross-classified by counterparty sector) of transactions recorded in the financial account (counterparty sectors are the sectors with which the subject sector has undertaken the subject transactions). The financial accounts also record the value of financial assets and liabilities at the end of each quarter, broken down by instruments cross-classified by counterparty sector.
1.44 The satellite accounts for Tourism, Non-Profit Institutions and Information and Communication Technology present specific details on a particular topic (both in monetary and physical terms) in an account which is separate from, but linked to, the information published in the ASNA. Satellite accounts allow an expansion of the National Accounts for selected areas of interest while maintaining the concepts and structures of the core National Accounts. Implicitly data presented in satellite accounts are included in the National Accounts, but they can go further and include data that is not in the National Accounts at all.
1.45 In summary, the ASNA provides a record of Australia's economic wealth and the changes to that wealth brought about by economic activity. The Australian National Accounts statistics are also disaggregated to provide information about economic assets and activities for sectors, industries, and products, and about different types of assets, liabilities, transactions and other economic events. In terms of economic information, the scope of the statistics is therefore very wide, and the only economic activities omitted from that scope are those that fall outside the defined boundaries of production, consumption, accumulation and economic assets. Nevertheless, the ASNA does not necessarily provide all of the macroeconomic measures that analysts require, and statistical offices, including the ABS, are working to improve and extend the body of macroeconomic statistics.
General nature of ASNA methodology
1.46 The sources and methods used to compile National Accounts are typically many and varied, and the Australian situation is no exception. From the perspective of users of the ASNA, an understanding of the sources of information used and the methods applied to compile the National Accounts is useful because such matters can influence the quality, accuracy and reliability of the statistics. A detailed account of the sources and methods underlying the data compiled for key variables in the central transaction accounts and for specific sets of data, such as appear in the financial accounts and the balance sheets, are outlined in other sections. The next few paragraphs provide a broad description of the processes and infrastructure that underlie compilation of the ASNA.
1.47 Because of the wide range of information included in the ASNA, capture of the data by means of a single survey, or even a few surveys, would not be feasible. Since many parts of the accounts record transactions in which two parties are involved, there are at least two possible sources of information about such transactions, and compilers can economise by targeting the least costly sources of information without compromising the quality of the data significantly. Quality of the data source is of paramount importance. Furthermore, surveys are not the only sources of information, and advantage must be taken of administrative and other records that contain relevant information obtainable at less cost than surveys.
1.48 However, before using information from surveys or administrative records, National Accounts compilers must be sure that the information is consistent with national accounting standards and that there are no gaps or overlaps between the various sources. A high proportion of information used in compiling the Australian National Accounts comes from surveys that use the ABS register of businesses and other organisations (referred to as the 'business register') to provide the target population. The business register is a list of economic units that are defined according to national accounting standards. The units are also defined so as not to overlap, and every effort is made to include all economically significant units so that there are no gaps in the coverage of the relevant fields of economic activity. Although most of the ABS surveys that provide data for the ASNA are used primarily to compile other economic statistics, the survey questions are generally designed to comply with national accounting concepts so that the survey results are consistent with National Accounts statistics. Where administrative data are used, the National Accounts compiler has less control over the application of standards and the possible existence of gaps and overlaps. Some potential sources of this type may be rejected because they cannot be reconciled with survey results or deviate too much from National Accounts standards.
1.49 Once reliable and consistent sources of data have been established, the major task of the National Accounts compilers is to bring together the data in the national accounting framework. In some cases, there may be two sets of data relating to the same variables, in which case discrepancies must be investigated and a choice made as to which data are more reliable. Furthermore, the ASNA includes balances that are equal in concept but are derived from different data sources. For example, net lending or borrowing in the capital account is equal in concept to net change in financial position in the financial account but is derived entirely from non-financial transactions, whereas net change in financial position is derived entirely from financial transactions. Such balances provide a measure of the consistency of the two sets of data and can be used to monitor the accuracy and quality of the statistics. When differences are unavoidable or unresolved, rather than force a balance, compilers may record the differences in the accounts as 'statistical discrepancies' or 'net errors and omissions'.
1.50 Business and administrative records do not always provide information that reflects economic reality. For example, interest charges generally include a service charge as well as a return on capital invested. In such cases, the 2008 SNA prescribes imputation of the required information. In other cases, transaction flows have to be rerouted, as with employers' contributions to superannuation funds on behalf of their employees, which are paid to superannuation funds but are recorded in the ASNA as payable directly to employees as a component of employee remuneration. Therefore, National Accounts compilers must put in place systems to derive such imputed information. Thus, data obtained from surveys or administrative records may be adjusted or rearranged to meet the 2008 SNA requirements.
1.51 Two significant processes are applied by compilers to derive additional data of considerable interest: time series analysis and production of chain volume measures. Time series analysis includes seasonal adjustment and estimation of trend values. Seasonal adjustment involves estimation of seasonal factors in the data and adjustment of the data to remove the seasonal effect. Trend values are estimated by removing irregular movements from seasonally adjusted data. Chain volume estimation involves removing the effects of price changes from source data, which are recorded at current prices.
1.52 Once all adjustments and derivations have been made, compilers should have a complete dataset that can be checked for consistency with data for previous periods and data from other systems. Known as output editing, this form of checking aims to detect errors that may have slipped through at earlier stages of compilation, and which may require inquiry back to the supplier of the source data. Data may be queried because the resulting movement from the previous period (or the same period in the previous year) appears implausible or is inconsistent with the movement of other related variables. After all checks have been completed and errors or inconsistencies explained or removed, the statistics are cleared by a senior statistician for publication.
1.53 Australian National Accounts statistics include major economic indicators that are in strong demand and can influence financial markets. Therefore, care is taken to ensure that no user receives the statistics before the designated release time, with a small number of exceptions. These exceptions relate to designated officers in certain government departments, such as the Treasury and the Department of the Prime Minister and Cabinet, who are required to prepare briefing material on the statistics for their Ministers; they are subject to a strict embargo until the official release of the National Accounts.
1.54 Because Australian National Accounts statistics are often compiled from source data that are preliminary or incomplete, the statistics are often revised when final or more complete information comes to hand. Such revisions to the data are therefore relatively common. Furthermore, seasonally adjusted and trend data are subject to revision because the adjustment factors for seasonal and irregular influences change over time as more data are added to the time series. Similarly, chain volume measures are subject to revision whenever the reference period is changed and when a new base year is introduced.
Uses of Australian National Accounts statistics
1.55 The uses of the statistics included in the ASNA mainly arise from the role of the National Accounts as a framework for evaluating economic performance. However, given the wide range of information included in the ASNA, economic performance can be evaluated at a number of different levels, including the economy as a whole, the various sectors and subsectors of the economy, individual States and Territories, individual industries and individual products. Furthermore, information is available for different time frames, including quarterly data for measuring short-term changes in economic conditions and more detailed annual information for measuring longer-term changes. Seasonally adjusted and trend series facilitate analysis of short-term movements in quarterly data, and chain volume measures help to isolate volume movements in the economic indicators.
1.56 The estimates of national income, expenditure and product are well established as a framework for monitoring the current performance of the Australian economy, and are closely followed and analysed by government and private sector economists, the media, financial markets, credit rating agencies and others with an interest in current economic trends. General interest centres on trend and seasonally adjusted chain volume measures of key variables such as gross domestic product as an indicator of growth, measures of income such as compensation of employees (COE) and gross operating surplus (GOS) of corporations, the expenditure items of final consumption expenditure (government and households) and gross fixed capital formation (GFCF), the ratio of net household saving to net household disposable income, and production classified by industry groupings. Such information is used in short-term economic forecasting, in analyses underlying forecasts and economic policy settings in Commonwealth and State/Territory government budgets, in models of economic activity that simulate the effects of economic policy and behaviour, and in international comparisons of Australia's economic performance with the performance of other countries.
1.57 As well as Australia's National Accounts, the ABS produces annual accounts for each of Australia's States and Territories published in the State Accounts. These provide estimates of GSP and state final demand. An important use of the state accounts is to compare each State and Territory in terms of levels of economic activity and rates of economic growth.
1.58 The financial accounts data (published in Finance and Wealth) have more specialised uses, relating to financial markets and the financial sector. They are used by government and private sector economists as short-term indicators of the demand for credit, which reflects overall economic conditions and expectations. The sectoral and instrument breakdowns in the financial accounts enable detailed analysis of stocks and flows related to borrowing and lending. Depending on economic conditions, user interest may focus, for example, on the borrowing and debt of governments, or on the ratio of debt to equity financing of private corporations. The financial accounts provide an alternative view (to that shown in the real accounts) of national and sectoral saving, and indicate the composition of saving in terms of financial instruments. For example, these accounts can show trends in household saving toward superannuation and the extent of accumulation of household debt. Financial market analysts and participants use the financial accounts to assess growth in the markets for various forms of finance (e.g. deposits, loans, shares, debt securities) and sources of finance (e.g. banks, non-bank depository institutions, life offices and pension funds, non-residents) used by borrowers.
1.59 The national balance sheet data on the level and composition of Australia's assets and liabilities indicate the economic resources of, and claims on, the nation and each sector, and support assessments of the external debtor or creditor position of a country. The monetary estimates of natural resources contained in the balance sheet are underpinned by a dataset of physical estimates detailing levels of particular natural resources. Due to the experimental nature of the monetary estimates, it is considered that monetary estimates on natural resources should be considered in conjunction with the physical estimates, especially for mineral and energy resources. The estimates provide information for monitoring the availability and exploitation of these resources and for assisting in the formulation of environmental policies and resource pricing.
1.60 Sectoral balance sheets provide information necessary for analysing a number of topics. Examples include:
- the computation of widely used ratios, such as debt-to-equity, non-financial to financial assets, and debt-to-income; and
- the provision of additional information on the relationship between consumption and saving behaviour.
1.61 Companies can compare the return on their own assets with returns achieved nationwide. Prospective investors may examine the unit values and returns on; for example, the various mineral and energy resources to guide investments in particular industries.
1.62 The ASNA I-O tables provide a much more detailed disaggregation of gross domestic product than is available in the national income, expenditure and production GDP accounts. I-O tables are used to facilitate economic analysis in a number of ways, for example:
- they provide a means of undertaking comparative analysis of industries within an economy as well as across economies;
- they provide the basis for a detailed understanding of the linkages and dependencies that exist within an economy;
- given the set of assumptions implicit in the I-O framework, they provide a means of forecasting the economic effects of a change in demand on economic variables such as value added, prices and employment;
- they constitute a core component of many modern general equilibrium models which may be used for a number of purposes including forecasting; and
- they provide a framework whereby the confrontation of data from various sources can be undertaken, thereby providing a means of improving the accuracy of the National Accounts and economic statistics in general.
1.63 Satellite accounts are used to expand the analytical capacity of the National Accounts for selected areas of social concern in a flexible manner, without overburdening or disrupting the National Accounts. They involve the rearrangement of classifications used in the National Accounts and the possible introduction of complementary elements but do not change the underlying concepts of the National Accounts.
1.64 The National Accounts are used as a framework for other economic statistics. Given the comprehensive nature of the National Accounts coverage of economic activity, most economic statistics relate in some way to elements of the National Accounts. Conversely, National Accounts compilers draw upon a wide range of economic statistics to provide information for inclusion in the National Accounts. For these reasons, national statistical offices usually design economic statistics systems that are based on the concepts employed in the National Accounts. Such a strategy ensures that users of economic statistics can relate the statistics to the National Accounts, and that National Accounts compilers have sources of information that are conceptually compatible with the National Accounts. As noted previously, such an integrated approach to the production of economic statistics is followed in the ABS. It is administered through use of a single business register as the source of survey populations for most ABS economic statistics, and the strict application of national accounting concepts in the design of the business register and the surveys, including the units model, data item definitions and classifications.
Chapter 2 Overview of the conceptual framework
Introduction
2.1 The conceptual framework of the ASNA is based on the standards set out in 2008 SNA. The ASNA does not include all the elements of the 2008 SNA framework, although Australia's implementation is extensive. Some minor variations have been adopted in the ASNA to allow for specific Australian data supply conditions or user requirements; these are noted at appropriate points throughout this manual.
2.2 The ASNA records key elements of the Australian economy: production, income, consumption (intermediate and final), accumulation of assets and liabilities, and wealth. These elements comprise economic flows and stocks that are grouped and recorded, according to specified accounting rules, in a set of accounts for the economy as a whole and for various sectors and subsectors. The sectors and subsectors comprise groups of institutional units with the same economic role. Statistics are also produced for industries, which comprise groups of producing units with common outputs. At a more detailed level, I-O statistics are produced that record the supply and use of different types of goods and services, or products, by the various industries. Many of the statistics in the ASNA are compiled as current price and chain volume measures by application of 2008 SNA recommendations for price and volume measures.
The conceptual elements of ASNA
Institutional units and sectors
2.3 In 2008 SNA, the basic unit for which economic activity is recorded is the institutional unit. An institutional unit is an economic entity that is capable, in its’ own right, of owning assets, incurring liabilities and engaging in economic activities and transactions with other entities. In the Australian system, the legal entity unit is closest to the 2008 SNA concept of the institutional unit. However, in the ASNA, the unit used is the enterprise, which can be a single legal entity or a group of related legal entities that belong to the same institutional subsector. Four main types of institutional units are recognised in 2008 SNA and the ASNA: households, non-profit institutions, government units and corporations (including quasi-corporations).
2.4 Institutional units are grouped into institutional sectors according to their characteristics and institutional role. All households are allocated to the household sector. Corporations and quasi-corporations are allocated to the non-financial corporations sector or the financial corporations sector according to whether their predominant function is production of goods and non-financial services, or production of financial services. Government units are all allocated to the general government sector. The allocation of non-profit institutions depends on the nature of their operations. Those mainly engaged in market production are allocated to the relevant corporate sector. Those mainly engaged in non-market production are allocated to the general government sector if they are controlled and mainly financed by government; otherwise, they are allocated to the non-profit institutions serving households (NPISH) sector. In the ASNA, the NPISH sector is included in the household sector.
2.5 The various domestic sectors and subsectors include only resident institutional units. The concept of residency used in the ASNA is the same as the concept used in balance of payments statistics, and is based on the requirement that an institutional unit must have a centre of predominant economic interest in Australia's economic territory to be an Australian resident unit.
2.6 Further detail on institutional units and sectors is outlined in Chapter 4.
Transactions and other flows
2.7 Economic flows reflect the creation, transformation, exchange, transfer or extinction of economic value and involve changes in the volume, composition or value of assets and liabilities. In the national accounts, economic flows are divided between transactions and other flows. Transactions generally involve interactions by mutual agreement between institutional units, but also include certain events that occur within institutional units, such as consumption of fixed capital and some types of production for the unit's own use. Other economic flows are changes in the value or volume of assets and liabilities that arise from events other than transactions, such as mineral discoveries, catastrophic losses, depletion, write-offs, and growth of natural assets.
2.8 The 2008 SNA groups elementary transactions and other flows into a relatively small number of types according to their nature. They are:
- Transactions in goods and services (products) describe the origin (domestic output or imports) and use (intermediate consumption, final consumption, capital formation or exports) of goods and services. By definition, goods and services in the SNA are always a result of production, either domestically or abroad, in the current period or in a previous one. The term products is therefore a synonym for goods and services.
- Distributive transactions consist of transactions by which the value added generated by production is distributed to labour, capital and government and transactions involving the redistribution of income and wealth (taxes on income and wealth and other transfers). The SNA draws a distinction between current and capital transfers, with the latter deemed to redistribute saving or wealth rather than income.
- Transactions in financial instruments (or financial transactions) refer to the net acquisition of financial assets or the net incurrence of liabilities for each type of financial instrument. Such changes often occur as counterparts of non-financial transactions. They also occur as transactions involving only financial instruments. Transactions in contingent assets and liabilities are not considered transactions in the SNA.
- Other accumulation entries cover transactions and other economic flows not previously taken into account that change the quantity or value of assets and liabilities. They include acquisitions less disposals of non-produced non-financial assets, other economic flows of non-produced assets, such as discovery or depletion of mineral and energy resources or transfers of other natural resources to economic activities, the effects of non-economic phenomena such as natural disasters and political events (wars for example) and finally, they include holding gains or losses, due to changes in prices, and some minor items.²⁵
Assets and liabilities
2.9 The 2008 SNA (with the ASNA being consistent) states that:
- Assets and liabilities are the components of the balance sheets of the total economy and institutional sectors. In contrast to the accounts that show economic flows, a balance sheet shows the stocks of assets and liabilities held at one point in time by each unit or sector or the economy as a whole. Balance sheets are normally constructed at the start and end of an accounting period, but they can in principle be constructed at any point in time. However, stocks result from the accumulation of prior transactions and other flows, and they are modified by future transactions and other flows. Thus, stocks and flows are closely related.
- The coverage of assets is limited to those assets which are subject to ownership rights and from which economic benefits may be derived by their owners by holding them or using them in an economic activity as defined in the SNA. Consumer durables, human capital and those natural resources that are not capable of bringing economic benefits to their owners are outside the scope of assets in the SNA.
- The classification of assets distinguishes, at the first level, financial and non-financial (produced and non-produced) assets. Most non-financial assets generally serve two purposes. They are primarily objects, usable in economic activity and, at the same time, serve as stores of value. Financial assets are necessarily and primarily stores of value, although they may also fulfil other functions.²⁶
Products and producing units
2.10 Goods and services, also called products, are the result of production. They are exchanged and used for various purposes: as inputs in the production of other goods and services, as final consumption or for investment. Institutional units may produce a variety of products and therefore can be too heterogeneous in terms of their productive activity to provide useful information about industries. Hence 2008 SNA specifies the use of narrower units than institutional units for the purpose of providing statistics about production classified by industry.
2.11 The producing unit recommended in 2008 SNA is the kind-of-activity unit, which is a part of an institutional unit that engages in one productive activity. However, 2008 SNA also suggests that an alternative unit can be used, namely the establishment, which covers all productive activity at a single location.
2.12 In the ASNA, the producing unit is the type of activity unit (TAU), which is the largest unit within a business for which relevant accounts are kept, having regard for industry homogeneity. However, ASNA does not recognise an establishment unit as outlined in 2008 SNA.
2.13 In the ASNA, each TAU is classified to an industry that is defined in the ANZSIC06, which is based on the principles and classification structure set out in the United Nations' International Standard Industrial Classification of All Economic Activities (ISIC), Rev.4. ISIC is the industry classification that the 2008 SNA recommends for use in national accounts.
2.14 Further detail on products and producing units is outlined in Chapter 5.
Relationship with other conceptual frameworks
2.15 The national accounts are important for providing a framework for economic statistics. The accounts provide a conceptual framework for ensuring the consistency of the definitions and classifications used in different, but related, fields of statistics. It also acts as an accounting framework to ensure the numerical consistency of data drawn from different sources. Consistency between different statistical systems enhances the analytical usefulness of all the statistics involved. Therefore, the harmonisation of 2008 SNA and related statistical systems is a key feature of the system.
2.16 ASNA is also harmonised with other statistical systems: the balance of payments, government finance statistics, and monetary and financial statistics. Australia's balance of payments was updated and aligns with BPM6, which was updated simultaneously with the 2008 SNA. Australia's government finance statistics, which feed into the national accounts, align with the International Monetary Fund's revised GFSM released in 2014.
Rules of accounting
2.17 Fundamental to the national accounts is the measurement of economic activity within the economy, i.e. the recording of the transfer of products from one unit to another. 2008 SNA states:
… a distinction is made between legal ownership and economic ownership. The criterion for recording the transfer of products from one unit to another in the SNA is that the economic ownership of the product changes from the first unit to the second. The legal owner is the unit entitled in law to the benefits embodied in the value of the product. A legal owner may, though, contract with another unit for the latter to accept the risks and rewards of using the product in production in return for an agreed amount that has a smaller element of risk in it. Such an example is when a bank legally owns a plane but allows an airline to use it in return for an agreed sum. It is the airline that then must take all the decisions about how often to fly the plane, to where and at what cost to the passengers. The airline is then said to be the economic owner of the plane even though the bank remains the legal owner. In the accounts, it is the airline and not the bank that is shown as purchasing the plane. At the same time, a loan, equal in value to payments due to the bank for the duration of the agreement between them is imputed as being made by the bank to the airline.²⁷
2.18 The 2008 SNA and ASNA accounting rules cover the valuation, time of recording and grouping by aggregation, netting and consolidation of individual stocks and flows.
2.19 All entries in the national accounts should be recorded at the market price current at the time of recording. The appropriate value for exchanges of goods and services is generally the transaction price. Where no transaction price is available, reference is made to the market value of similar goods and services. When no market prices of equivalent goods and services are available, the goods and services are valued at cost. By convention, all non-market goods and services produced by government units and non-profit institutions are valued at cost. Some goods are valued by writing down (depreciating) the initial acquisition costs. Where none of the foregoing methods is feasible, use can be made of the present value of expected future returns. However, this method is not generally recommended.
2.20 2008 SNA recommends that all economic flows be recorded in the national accounts on an accrual basis (i.e. when economic value is created, transformed, exchanged, transferred or extinguished). Accrual recording ensures that economic events are recorded consistently and without distortion arising from leads and lags in accompanying cash flows. In general, use of accrual recording means that:
- flows involving change of ownership are recorded when ownership changes;
- services are recorded when provided;
- distributive transactions, which are those associated with the distribution of income to owners of the factors of production, are recorded as amounts payable accumulate;
- interest is recorded as it accumulates rather than when it falls due for payment;
- output is recorded as production takes place; and
- intermediate consumption is recorded when goods and services are used
2.21 For the most part a strict accrual basis of recording is applied in the ASNA, although special procedures are sometimes required to estimate certain flows on an accrual basis.
2.22 In the national accounts, data are recorded in aggregates (i.e. the sums of the values of stocks and flows of a given type such as total output) and balancing items (i.e. the differences between aggregates on each side of an account or between other balancing items such as saving). A degree of netting is employed in the national accounts in as much as transactions with opposite sign are often combined (e.g. acquisitions and disposals of financial assets are recorded as 'net acquisitions'). Consolidation refers to the elimination of transactions between units in the same sector or subsector from aggregates. In the ASNA, consolidation is generally confined to transactions within establishments, to transfers between institutional units within the general government and household sectors, and to transactions in used fixed assets within sectors. In contrast to 2008 SNA, property income flows within institutional sectors and sectoral (or subsectoral) transactions in financial instruments are consolidated in ASNA. Transactions between establishments of the same enterprise are generally not consolidated, however transactions in financial instruments and related income flows are fully consolidated.
2.23 National accounting is based on the principle of double entry as in business accounting. Each transaction must be recorded twice, once as a resource (i.e. income) and once as a use (i.e. expense). The total of transactions recorded as resources and as uses must be equal, thus permitting a check on the consistency of the accounts. Economic flows that are not transactions have their counterpart directly as changes in net worth. The recording of the consequences of an action as it affects all units and all sectors is based on a principle of quadruple entry accounting, because most transactions involve two institutional units. Correctly recording the four flows involved ensures full consistency in the accounts.
2.24 Further detail on accounting rules is available from Chapter 3.
Endnotes
The Accounts
The full sequence of accounts
2.25 2008 SNA divides the accounts into two main classes: the integrated economic accounts and the other parts of the accounting structure. The integrated economic accounts use the institutional units and sectors, transactions, and assets and liabilities together with the rest of the world to form the accounts. These are the accounts presented in ASNA, but not in the same format. The other parts of the accounting structure bring in the conceptual elements of production units, products, purposes, employment and population to assist in the production of the integrated economic accounts (e.g. supply-use tables) or to present the data in different ways.
2.26 The integrated economic accounts are grouped into three categories:
- Current accounts - present production, and the generation, distribution and use of income;
- Accumulation accounts - present changes in assets and liabilities and changes in net worth (the difference between assets and liabilities for a given institutional unit or group of units); and
- Balance sheets - present stocks of assets and liabilities and net worth. Opening and closing balance sheets are included with the full sequence of accounts.
2.27 The main accounts in the ASNA are as follows:
- gross domestic product (GDP) accounts - record the value of production (i.e. production of GDP), the income from production (i.e. income from GDP) and the final expenditures on goods and services produced and net international trade in goods and services (i.e. expenditure on GDP);
- income accounts - show primary and secondary income transactions, final consumption expenditures and consumption of fixed capital;
- capital accounts - record the net accumulation of non-financial assets through transactions, and the financing of the accumulation by way of saving and capital transfers;
- financial accounts - show the net acquisition of financial assets and the net incurrence of liabilities; and
- balance sheets - record the stock of financial and non-financial assets, and financial liabilities at a particular point in time.
2.28 The ASNA accounts are based on the system of accounts outlined in 2008 SNA. Each of the accounts is produced for the economy as a whole and the set of accounts together constitute the consolidated summary accounts. The ABS produces annual income and capital accounts by institutional sector based on 2008 SNA. The quarterly sectoral accounts depict national accounts using the same concepts and definitions as the annual sector accounts. These accounts are compiled for each of the following institutional sectors and subsectors: non-financial corporations (private and public), financial corporations, general government (national and state and local), and households (including NPISH).
2.29 The national accounts also include supplementary tables which provide more detailed presentations of the individual sector accounts. Although production accounts could be constructed for the four individual institutional sectors, major interest centres instead around production on an industry basis. This cuts across the institutional sectors used in the income and capital accounts since the production units are classified by industry without regard to institutional sector.
2.30 Another account that is integral to the national accounts is the external account. This account records the transactions and financial positions of the nation with the rest of the world, from the point of view of the rest of the world. In one sense, the external account is simply another sectoral account. Because of the important role of the rest of the world sector, the account is a major focus of attention for economic analysts and international organisations.
GDP accounts
2.31 The measure of production for the economy as a whole is gross domestic product (GDP). GDP is the sum, for a particular period, of the gross value added of all resident producers (where gross value added is equal to output less intermediate consumption) and net taxes on products. This is referred to as GDP measured by the production approach (GDP(P)). GDP can also be derived as the sum of factor incomes (i.e. compensation of employees, gross operating surplus and gross mixed income) and net taxes on production and imports, or as the sum of all final expenditures by residents (final consumption expenditure and GFCF), changes in inventories and exports less imports of goods and services. These are referred to as GDP measured by the income approach (GDP(I)) and GDP measured by the expenditure approach (GDP(E)), respectively. All three approaches are presented in the ASNA publications. In Australia, the combined presentation of the three approaches is referred to as the GDP accounts. These reflect the 2008 SNA production account.
2.32 Although conceptually each measure should result in the same estimate of GDP, different estimates of GDP are obtained when the three measures are compiled independently using different data sources. However, integration of the annual Australian national accounts estimates with annual balanced supply-use tables ensures that the same estimate of GDP is obtained for all three approaches for years in which these tables are available. The supply-use tables have been compiled from 1994-95 up to the year preceding the latest completed financial year, except in the June quarter where it is the latest two years.
2.33 Prior to 1994-95, the estimates using each approach are based on independent sources and there are usually differences between the GDP I, E and P estimates. Nevertheless, for these periods, a single estimate of GDP has been compiled by taking a simple average of the I, E and P estimates.
2.34 As a result of the above methods:
- there are no statistical discrepancies in either current price or chain volume terms for annual estimates from 1994-95 up to the year prior to the latest year (and the latest two years in the June quarter); and
- statistical discrepancies exist in both current price and chain volume terms between estimates obtained from the GDP I, E and P approaches and the single estimate of GDP for years prior to 1994-95, for the latest year (and the latest two years in the June quarter), and for quarterly estimates. These discrepancies are shown in the relevant tables.
2.35 There is no institutional sector dimension to any of the GDP accounts, although the GDP(I) measure could be classified this way. GDP measured by the production approach (i.e. sum of value added) is presented by industry only. The valuation of GDP in ASNA is at purchasers' prices, so net taxes on products are added to total gross value added to obtain GDP(P).
Income account
2.36 2008 SNA splits the income account into several accounts, distinguishing between the distribution, redistribution and use of income. The distribution of income is decomposed into three main steps: primary distribution (i.e. primary income), secondary distribution (i.e. secondary income) and redistribution in kind (i.e. social transfers in kind). The balancing items at the various stages are meaningful concepts of income provided all kinds of distributive current transactions are included.
2.37 The ASNA includes all such transactions. Each stage is presented in the income account with the balancing items being gross income and gross disposable income for all sectors, and adjusted disposable income for the general government and household sectors. Australia's presentation of the income account differs from 2008 SNA in that transactions regarding the distribution and redistribution of income are presented in one table.
2.38 The sectoral income accounts are a disaggregation of the national income account, recording for each institutional sector. Their net income arising from production and transfers of other sectors, and their uses of income (disbursements). The difference between income and the use of income is net saving. This balancing item is carried forward to the capital account as saving must be used to acquire financial or non-financial assets, or to reduce liabilities.
2.39 The transactions as presented in the ASNA are:
- Primary income consists of factor incomes (e.g. compensation of employees, gross operating surplus and gross mixed income, and taxes less subsidies on production and imports) and property incomes (e.g. interest, dividends, rent on land and mineral and energy resources, and reinvested earnings of direct investors and investment funds). Gross national income is the balancing item and equals total factor incomes, plus taxes less subsidies on production and imports, plus net primary income receivable from non-residents.
- Secondary income consists of current transfers. Transfers are resources provided from one institutional unit to another for which nothing of economic value is provided in return. Current transfers include taxes on income and wealth, social contributions (e.g. for workers' compensation) and benefits (e.g. unemployment benefits), current grants between governments, and donations to non-profit institutions. Gross disposable income is the balancing item and is equal to the sum of net primary income receivable and net secondary income receivable.
- Social transfers in kind exist only in the general government and household sector. They consist of goods and services provided to households by government (or NPISHs) either free or at prices that are not economically significant. They consist of final consumption expenditure undertaken by government (and NPISHs) on behalf of households, for example, education and health services.
Capital account
2.40 The capital account is the first account in the sequence of the accumulation accounts, and records the acquisitions less disposals of non-financial assets, as well as capital transfers involving the redistribution of wealth. It shows sources of funds (receipts) for financing gross capital formation, and the use of these funds (disbursements). Sources of funds comprise consumption of fixed capital, net saving transferred from the national income account and net capital transfers receivable from non-residents. On the disbursements side are shown GFCF, changes in inventories and net acquisitions of non-produced non-financial assets. Conceptually, net lending to non-residents is the balancing item of the national capital account. However, if there are statistical discrepancies in the Expenditure on GDP account, then these discrepancies must also be taken into account before deriving the balancing item. When net lending is negative, the economy is a net borrower from non-residents. Where net lending is positive, the economy is a net lender to non-residents.
2.41 2008 SNA has an entry for acquisitions less disposals of valuables. While conceptually such transactions should be recorded in the capital account, they are currently not recorded in the ASNA due to a lack of a suitable data source. It is worth noting that household final consumption expenditure (HFCE) may include some expenditure on valuables by the household sector.
2.42 The sectoral capital accounts are a disaggregation of the national capital account and show the extent to which the sum of savings and capital transfers are used to finance the acquisition of non-financial assets. The balancing item, net lending/borrowing, reflects the net lending/borrowing of a particular sector to all other sectors. Net lending is the excess of capital finance for capital acquisition and measures the amount an institutional sector has available to finance other sectors. Net borrowing is the existence of a borrowing requirement to finance capital acquisitions due to an insufficient retention of financial resources through saving and capital transfers. Capital accounts are also compiled for selected subsectors.
2.43 As sectoral production accounts are not compiled, it is not possible to show any national statistical discrepancies by sector. Accordingly, the sectoral net lending balance implicitly includes each sector's share of the national statistical discrepancy.
Financial account
2.44 The financial account records the net acquisitions of financial assets and liabilities.
2.45 The financial account explains how net lending/borrowing is affected by changes in the holding of financial assets and liabilities. The sum of these changes, net change in financial position, is conceptually equal in magnitude to the net lending/borrowing item of the capital account. The financial account for each sector shows the financial transactions associated with the net lending transactions recorded in the capital account. These accounts, however, are compiled using different sources, giving rise to differences between the two balancing items, usually due to measurement error. These differences are recorded for each institutional sector in net errors and omissions.
2.46 In the national financial account, transactions in financial assets and liabilities with non-residents are shown. The national financial account is identical to the financial account in the balance of payments. Note that the signs are reversed between the two as the balance of payments is based on the point of view of the resident, whereas the national accounts take the view of the non-resident. Financial accounts are also compiled for each sector and for a wide range of subsectors. In these financial accounts, the transactions relate to financial assets and liabilities with other sectors/subsectors.
Other changes in the volume of assets account
2.47 The other changes in the volume of assets account records the effect of exceptional events that cause not only the value, but also the volume of assets and liabilities to change. They may be divided into three main categories:
- normal appearance and disappearance of assets other than by transactions, such as discovery and depletion of mineral and energy resources, and growth and depletion of native forests; economic recognition of produced assets such as public monuments and valuables; the initiation and cancellation of contracts, leases and licences such as patents, broadcast licences and taxi plates; changes in the value of goodwill and marketing assets; and the appearance or disappearance of financial assets;
- changes in assets and liabilities due to exceptional, unanticipated events, such as natural disasters (e.g. bushfires, floods and earthquakes), war or severe acts of crime, and uncompensated seizures of assets; and
- changes in classification and structure: in the event that the activities of an institutional unit change to the extent that the unit is reclassified from one institutional sector to another (for example, from the non-financial corporations sector to the financial corporations sector), the movements of assets and liabilities between the sectors are recorded as part of other flows in this category.
2.48 The balancing item for this account is changes in net worth due to other changes in the volume of assets. In ASNA, other changes in the volume of assets are recorded in an account that reconciles the values of assets and liabilities recorded in the opening and closing balance sheets.
Revaluation account
2.49 The revaluation account records holding gains and losses which result from changes in the prices of non-financial assets and financial assets and liabilities. Holding gains and losses accrue to the owners of assets and liabilities purely as a result of holding the assets or liabilities over time, without transforming them in any way. Holding gains and losses include not only gains/losses on capital goods (such as fixed assets, land and other natural resources) and financial assets and liabilities, but also inventories, including work-in-progress.
2.50 The balancing item for this account is changes in net worth due to nominal holding gains and losses. In ASNA, holding gains and losses are recorded in an account that reconciles the values of assets and liabilities recorded in the opening and closing balance sheets.
2.51 Holding gains and losses measured based on current prices are called nominal holding gains and losses. 2008 SNA notes that these nominal gains and losses can be further decomposed into neutral holding gains and losses, reflecting changes in the general price level, and real holding gains and losses, reflecting changes in the relative prices of assets. The ASNA shows this decomposition for the total economy and for the household sector.
Balance sheets
2.52 The national balance sheet shows, at certain points, the aggregate value of Australian residents' non-financial assets, their financial claims on non-residents, and their liabilities to non-residents. The balancing item is net worth, representing the difference between assets and liabilities. Net worth is equivalent to the present value of the stock of economic value a unit or sector holds.
2.53 Similar information is shown for each sector in the sectoral balance sheets. For financial assets and liabilities, the amounts shown are the outstanding claims on and liabilities to other sectors on the balance sheet dates. For non-financial assets, the amounts shown represent each sector's share of the Australian value as at the balance sheet dates.
2.54 The opening and closing balance sheets display assets, liabilities and net worth valued at the prices of the date for which the balance sheet is compiled. Conceptually, the entries for assets and liabilities in the closing balance sheet are equal to the entries in the opening balance sheet plus changes in the accumulation accounts; that is, the capital account; the financial account; the other changes in the volume of assets account; and the revaluation account.
2.55 2008 SNA includes entries for valuables and non-produced non-financial assets. Conceptually, these assets should be recorded in the balance sheets. However, valuables and certain non-produced non-financial assets are not recorded in the ASNA due to a lack of suitable data sources. The excluded non-produced non-financial assets are water resources, goodwill and marketing assets and contracts, leases and licences (except for spectrum licenses).
2.56 Supplementing the balance sheets are accounts that show the changes in balance sheet positions during a particular period. In these accounts, changes in balance sheets are decomposed into transactions (which are equivalent to the relevant transactions recorded in the capital and financial accounts), revaluations due to the effect of price changes, and other changes affecting the volume of assets and liabilities.
External account
2.57 The external accounts show the economy's transactions and stock positions with non-residents, from a non-resident perspective.
2.58 In ASNA, external income, capital, financial and balance sheet accounts are provided. The external income account is analogous to the balance of payments current account. As such, its balance is the same as, but opposite in sign to, the balance on the current account as recorded in the balance of payments. The balance on the external capital account (net lending) is the same as, but opposite in sign to, the sum of the current and capital account balances in the balance of payments. The external financial account includes the balance of payments financial account together with net lending of non-residents (the sum of the balance of payments current and capital account balances) and the difference between the two; that is, the balance of payments net errors and omissions item.
Integrated presentation of the Accounts
2.59 Once all elements have been produced, it is possible to present in detail the integrated accounts. The integrated accounts give a complete picture of the accounts of the total economy including balance sheets in a way that permits the principal economic relations and the main aggregates to be shown. The level of detail can vary depending on the purpose.
2.60 The following table provides a summary of the accounts, balancing items and main aggregates within the 2008 SNA and the comparison with the ASNA. The purpose of the table is to illustrate how the ASNA presentation compares with the 2008 SNA presentation.
SNA presentation | ASNA presentation | |||
---|---|---|---|---|
Account | Balancing item | Main aggregate | Account | Main aggregate |
Current accounts | ||||
Production account | GDP accounts | |||
Production account Goods and services account Generation of income account |
Value added Operating surplus/mixed income |
Domestic product | Production of GDP (GDP(P)) Expenditure on GDP (GDP(E)) Income from GDP (GDP(I)) |
Gross Domestic Product |
Distribution of income accounts | National income account | |||
Allocation of primary income account | Balance of primary income | National income | Gross national income | |
Secondary distribution of income account | Disposable income | National disposable income | Gross disposable income | |
Redistribution of income in kind account | Adjusted disposable income | Adjusted disposable income | ||
Use of income accounts | ||||
Use of disposable income account | Saving | Use of gross disposable income Saving |
||
Use of adjusted disposable income account | Saving | National saving | Saving | |
Accumulation accounts | ||||
Capital account | Net lending (+) / Net borrowing (-) | Capital account | Net lending (+) / Net borrowing (-) | |
Financial account | Net lending (+) / Net borrowing (-) | Financial acounts | Net change in financial position | |
Other changes in the volume of assets account | Changes in net worth due to other changes in volume of assets | Included in balance sheets | ||
Revaluation account | Changes in net worth due to nominal holding gains and losses | Included in balance sheets | ||
Balance sheets | Balance sheets | |||
Opening balance sheet | Net worth | National wealth | Opening balance sheet | Net worth |
Changes in assets and liabilities | Changes in net worth | Changes in assets and liabilities | Changes in net worth | |
Non-financial assets | Net capital formation | |||
Financial assets / liabilities | Financial transactions | |||
Other changes in volume of assets | Other changes in volume | |||
Revaluations | Revaluations | |||
Closing balance sheets | Net worth | National wealth | Closing balance sheets | Net worth |
2.61 The following figure illustrates the integrated accounts as presented in the ASNA:
Figure 2.1 Illustration of the ASNA structure
The Aggregates
2.62 The aggregates, including value added, income, consumption and saving, are composite values which measure one aspect of economic activity. They are summary indicators and key magnitudes for purposes of macroeconomic analysis and comparisons over time. Some aggregates may:
- be obtained directly as totals of particular transactions (e.g. final consumption, GFCF and social contributions); or
- result from aggregating balancing items for the institutional sectors (e.g. value added, disposable income and saving).
2.63 Aggregates are commonly presented as net or gross measures. The distinction between the two is based on whether consumption of fixed capital has been deducted from the measure. A gross measure includes consumption of fixed capital, whereas net measures are obtained by deducting consumption of fixed capital from gross measures. 2008 SNA recommends that net measures should be produced where it is possible to do so as they take into account a reduction in the value of previously created fixed assets when they are used up in the production process. However, the SNA recognises that it is very difficult to measure consumption of fixed capital with any precision and acknowledges that gross measures will be commonly used in practice.
2.64 Aggregates are also presented in current price or volume measures. A key advantage of volume measures is that the price effect is eliminated and a real change from one period to another is obtained. However, some aggregates, such as income, are not able to be measured in volume terms as they cannot be broken down into quantity and price components.
Gross Domestic Product (GDP)
2.65 GDP derives from the concept of value added. Gross value added is the difference between output and intermediate consumption. GDP is the sum of gross value added of all resident producer units, plus taxes on products less subsidies on products. This derivation is referred to as GDP measured by the production approach (GDP(P)).
\(\small GDP(P) = Output - Intermediate \: Use + Taxes \: on \: Products - Subsidies \: on \: Products \)
2.66 GDP is also equal to the sum of the final uses of goods and services (all uses except intermediate consumption) measured at purchasers' prices, less the value of imports of goods and services. This derivation is referred to as GDP measured by the expenditure approach (GDP(E)).
\(\small {GDP(E) = Final \: Consumption \: Expenditure \: by \: Households \: (C) \: and \: Government \: (G) \\ \hspace{1.5cm}+ Gross \: Capital \: Formation + Exports \: of \: goods \: and \: services \: (X)\\ \hspace{1.5cm} - Imports \: of \: goods \: and \: services \: (M)}\)
2.67 Finally, GDP is also equal to the sum of primary incomes distributed by resident producer units. This derivation is referred to as GDP measured by the income approach (GDP(I)).
\(\small {GDP(I)=Compensation \: of \: Employees \: (COE) \: + \: Gross \: Operating \: Surplus \: (GOS) \\ \hspace{1.4cm} + \: Gross \: Mixed \: Income \: (GMI)+(Taxes \: on \: Production \: and \: Imports\\ \hspace{1.4cm}-Subsidies \: on \: Production \: and \: Imports \: (NT))}\)
Gross National Income (GNI)
2.68 GNI is equal to GDP less primary incomes payable to non-resident units plus primary incomes receivable from non-resident units. In other words, GNI is equal to compensation of employees, plus gross operating surplus and gross mixed income, plus taxes (less subsidies) on production and imports, less property income payable to the rest of the world plus the corresponding items receivable from the rest of the world. Thus, GNI is the sum of gross primary incomes receivable by resident institutional units or sectors. In contrast to GDP, GNI is not a concept of value added, but a concept of income. By deducting the consumption of fixed capital from GNI, net national income (NNI) is obtained.
\(\small {GNI=COE+GOS+GMI+NT+Net \: primary \: income \: receivable \: from \\ \hspace{1.3cm} non–residents \: (NPINR) \\ \hspace{0.8cm}=GDP+NPINR }\)
Gross National Disposable Income (GNDI)
2.69 Gross national disposable income is equal to GNI less current transfers (other than taxes, less subsidies, on production and imports) payable to non-resident units, plus the corresponding transfers receivable by resident units from the rest of the world. Gross national disposable income measures the income available to the total economy for final consumption and gross saving. By deducting consumption of fixed capital from gross national disposal income, net national disposable income is obtained. National disposable income is the sum of disposable income of all resident institutional units or sectors.
\(\small {GDNI=COE+GOS+GMI+NT+NPINR+Net \: current \: transfers \: receivable \\ \hspace{1.5cm} from \: non–residents \: (NCT) \\ \hspace{1.1cm}=GDP+NPINR+NCT }\)
Other parts of the accounting structure
Supply-use tables
2.70 2008 SNA states that the detailed analysis of production by industries and flows of goods and services by kind of products is an important part of the integrated central framework. A detailed analysis of production activities and product balances is made in the supply-use tables presenting:
- the resources and uses of goods and services for each type of product;
- the production and generation of income accounts for each industry according to kind of economic activity; and
- data on factors of production (labour and fixed capital) used by industries.
2.71 Supply-use tables are a powerful tool to compare and contrast data from various sources and improve the coherence of the economic information system. They permit an analysis of markets and industries and allow productivity to be studied at this level of disaggregation. S-U tables show, for the economy as a whole and for groups of products, the total resources in terms of domestic output and imports, and the uses of goods and services in terms of intermediate consumption, final consumption, gross capital formation and exports. They also provide information on the generation of income from production.
2.72 The S-U tables reconcile how the supply of products (either by domestic production or imports) within the economy in an accounting period is used for intermediate consumption, final consumption, capital formation or exports. Once both sides are equal (i.e. supply = use) for all products, the tables are said to be balanced: balanced supply-use tables provide the benchmarks for the annual current price and chain volume measures of GDP.
Input-output tables
2.73 The ASNA includes symmetric I-O tables which provide a means of undertaking more detailed analysis of the process of production and the use of goods and services (products), and of the income generated by that production than is possible with S-U tables. 'Symmetric' means that the same classifications or units (e.g. the same groups of products) are used in both rows and columns.
2.74 The I-O tables serve two purposes: statistical and analytical. They provide a framework for checking the consistency of statistics on flows of goods and services obtained from different kinds of statistical sources, for example, industrial surveys, household expenditure data, investment surveys, foreign trade statistics, etc. They serve as a coordinating framework for economic statistics, both conceptually for ensuring the consistency of the definitions and classifications used, and as an accounting framework for ensuring the numerical consistency of data drawn from different sources. The I-O framework is also appropriate for calculating much of the economic data contained in the national accounts and detecting weaknesses. This is particularly important for the decomposition of the values of flows of goods and services into prices and volumes for the calculation of an integrated set of price and volume measures. As an analytical tool, I-O data are conveniently integrated into macroeconomic models in order to analyse the link between final demand and industrial output levels.
2.75 The symmetric I-O tables are derived out of the S-U tables. As the latter are data-oriented in nature, adjustments are required in the compilation of the former, particularly with respect to valuation, the treatment of imports, and classifications. The links between the I-O tables and the S-U tables are described in Chapter 22 Input-Output Tables.
Tables of financial transactions and financial assets
2.76 In concept, the accounts show which sectors acquire which financial assets and incur which liabilities. In order to examine the workings of the financial sector, the financial account in ASNA distinguishes various subsectors within financial corporations and eleven categories of financial assets and liabilities.
2.77 Australian National Accounts: Finance and Wealth includes financial instrument market tables for the twelve financial instruments in a from-whom-to-whom framework with nineteen available counterparty sectors and subsectors. Each financial instrument is presented by issuing/accepting/borrowing sector/subsector by counterparty. Transactions and stocks between intra-sector/subsector are also presented for these tables; for example, authorised deposit-taking institutions (ADIs) deposits held by other ADIs. If required, the financial market tables would enable the ASNA to produce the flow-of-funds matrix as described in paragraph 2.150 of the 2008 SNA.
Sources and methods
2.78 ASNA records the essential elements of the Australian economy: production, income, consumption (intermediate and final), accumulation of assets and liabilities, and wealth. As such, many different data sources are used to compile the ASNA. In many cases, these data are infrequent, incomplete, lacking in scope or are simply not on a basis that aligns with national accounts standards. The upcoming chapters provide an overview of the sources and methods employed to convert these different data sources into a coherent set of national accounts.
Chapter 3 Stocks, flows, and accounting rules
Flows and stocks
3.1 The system of national accounts records two basic kinds of information: flows and stocks. Flows refer to actions and to the effects of events that take place within a given period of time, while stocks refer to positions in, or holdings of, assets and liabilities at a given point in time. Unless otherwise indicated, the definitions and rules described are as recommended in 2008 SNA and are applied without variation in the ASNA.
3.2 In the national accounts, flows are recorded in the current accounts, which deal with production, income and the use of income, and in the accumulation accounts, which record capital formation, financial flows, revaluations and other changes in the volume of assets. Stocks, which represent the value of the stock of assets and liabilities at the beginning and end of the accounting period, appear in the balance sheet accounts.
Flows
3.3 Economic flows reflect the creation, transformation, exchange, transfer or extinction of economic value. They involve changes in the volume, composition or value of an institutional unit's assets and liabilities. Economic flows are of two kinds: transactions, and other flows. Most flows are transactions which are recorded in the current accounts and accumulation accounts. Other flows, which are changes in the value of assets and liabilities that do not result from transactions, are recorded in the revaluation account and the other changes in volume of assets account.
Transactions
3.4 A transaction is defined in 2008 SNA as:
. . . An economic flow that is an interaction between institutional units by mutual agreement or an action within an institutional unit that it is analytically useful to treat like a transaction, often because the unit is operating in two different capacities.²⁸
3.5 The latter types of actions are internal transactions. Apart from these, transactions are interactions between institutional units. While the definition of a transaction stipulates that an interaction between institutional units must be by mutual agreement, this does not mean that both units necessarily enter a transaction voluntarily; some transactions, such as payments of taxes, fees or fines, are imposed by force of law. In these cases, there is collective acceptance by the community of the obligation to make the required payments, which are therefore regarded as transactions for national accounting purposes. The system of national accounts recognises and accounts for numerous types of transactions, both monetary and non-monetary, which are described in the following paragraphs.
Monetary transactions
3.6 Most transactions recorded in the national accounts are monetary transactions, where the institutional units involved make or receive payments or incur liabilities or receive assets denominated in units of currency. All monetary transactions are two-party transactions between institutional units. Common monetary transactions included in the ASNA are expenditure on consumption of goods and services, expenditure on capital formation, deposits, loans, wages and salaries, interest, dividends, rent on natural assets, taxes, and social assistance benefits in cash.
3.7 Expenditures on consumption of goods and services, capital formation, deposits, loans, payment or receipt of wages and salaries, and payment or receipt of interest, dividends and rent on natural assets, are two-party transactions involving the provision of a good, service or asset in exchange for a monetary counterpart. These kinds of transactions can be termed 'something for something' transactions, or transactions with a quid pro quo.
3.8 Two-party transactions where goods, services or assets are supplied without a direct counterpart can be termed 'something for nothing' transactions, or transactions without a quid pro quo. Transactions without a quid pro quo are called transfers in the national accounts. Examples of transfers are taxes, social assistance benefits, gifts, and international cooperation (foreign aid). Transactions such as the payment of premiums for non-life insurance, where receipt of benefits is contingent upon some future event, are also classified as transfers. (Strictly speaking, insurance premiums are divided into two components in the national accounts: an imputed service charge; and net premiums, which are equal to premiums less the imputed service charge. Net premiums are a transfer payment while the imputed service charge is included in household or intermediate consumption.)
3.9 A distinction is made between capital and current transfers in the national accounts. Capital transfers involve the transfer of ownership of an asset or oblige one or both parties to acquire or dispose of an asset. Investment grants are examples of capital transfers. Capital transfers redistribute saving or wealth. Current transfers, on the other hand, redistribute income in the form of, for example, income taxes or social assistance benefits.
3.10 Most transactions are treated in the national accounts in a straightforward way; that is, the transactions are recorded in the same way as they appear in the accounts of the institutional units involved. However, some transactions are rearranged to bring out the underlying economic relationships more clearly. Transactions can be rearranged in three ways: rerouting, partitioning, and recognising the principal party to a transaction.
Rerouted transactions
3.11 A transaction that appears to the units involved as taking place directly between units A and C may be recorded as taking place indirectly through a third unit B. Thus, the single transaction between A and C is recorded as two transactions: one between A and B, and one between B and C. In this case the transaction is considered to be “rerouted”.
3.12 Rerouting of three types of transactions occurs in the national accounts:
- Employers' social contributions - workers' compensation premiums, and contributions made by employers on behalf of their employees to superannuation funds, are recorded as two transactions: employers are deemed to pay the contributions to their employees and the employees are then deemed to pay the same contributions to non-life insurance corporations or superannuation funds. Although the contributions are paid directly by employers to the funds, this treatment makes it clear that such contributions are part of the compensation of employees and are recorded as a part of labour costs.
- Retained earnings of foreign direct investment enterprises and resident and non-resident investment funds - the retention of some or all of the earnings of a foreign direct investment enterprise and investment funds within the enterprise or investment fund can be regarded as a deliberate investment decision by the foreign owners and fund investors. Accordingly, the retained earnings are rerouted in the national accounts by showing them as first remitted to the foreign owners and fund investors as property income and then reinvested in the equity of the direct investment enterprise and investment funds.
- Property income of non-life insurance corporations or pension funds - in the national accounts, the property income earned on the reserves of certain insurance and pension funds is deemed to be earned on assets owned by policyholders. The property income is recorded as being paid out to policyholders and then paid back again as premium supplements even though the property income is retained by the corporation.
Partitioned transactions
3.13 When a transaction appearing to the parties involved as a single transaction is recorded as two or more differently classified transactions, the transaction is partitioned. Partitioning does not usually imply the involvement of additional institutional units in the transactions.
3.14 Payments and receipts of interest by financial intermediaries, and non-life insurance premiums, are typical partitioned transactions. In the case of interest, the payments are considered to comprise a pure interest component and a charge for the financial service rendered by the financial institution. Similarly, non-life insurance premiums are considered to constitute a payment to cover the insurance risk and a service charge for arranging the insurance. The individual components are recorded separately in the national accounts.
3.15 A further example of partitioning is the recording of transactions for wholesalers and retailers. Wholesalers and retailers are viewed in 2008 SNA as selling the service of storing and displaying goods. As a result, the output of wholesalers and retailers is measured by the value of the trade margins on the goods they purchase for resale, not the total value of their sales.
Recognising the principal party to a transaction
3.16 When a unit carries out a transaction on behalf of another unit, the transaction should be recorded exclusively in the accounts of the principal, although some service output by the intermediary may be recognised. For example, if a commercial agent makes purchases under the order and at the expense of another party, the purchases are attributed to the latter. The accounts relevant to the agent should only show the fee charged to the principal for the services rendered by the agent.
Non-monetary transactions
3.17 Transactions that do not involve the exchange of cash, or assets or liabilities that are not denominated in units of currency, are non-monetary transactions. As the national accounts record all transactions in monetary values, the values recorded for non-monetary transactions must be estimated. Non-monetary transactions can be either two-party transactions or actions within an institutional unit (internal transactions).
Two-party non-monetary transactions
3.18 Two-party non-monetary transactions consist of the following:
- Barter transactions, which involve one party providing a good, service or asset other than cash to another party in return for a good, service or asset other than cash.
- Remuneration in kind, which occurs when an employee accepts payment from an employer in the form of goods and services instead of money (or some other financial asset). Some of the most common types of remuneration in kind are meals and drinks, accommodation, vehicles for personal use of employees, and goods and services produced as outputs from the employer's own production processes.
- Payments in kind other than remuneration in kind, which occur when payments are made in the form of goods and services, rather than money or some other financial asset (e.g. landlords accepting produce in lieu of rent).
- Transfers in kind, which occur when one party provides a good, service or asset to the other without receiving anything in return. These can also be called 'something for nothing' transactions, or transactions without a quid pro quo. The most common types of transfers in kind are international aid in the form of goods or services; gifts and charitable contributions in the form goods or services; and social assistance benefits in forms such as the provision of education, health, housing and other services provided to households by government or non-profit institutions. Also included are social transfers in kind which consist of government final consumption expenditure (GFCE) which is undertaken (by government) on the behalf of households.
Internal transactions
3.19 While most transactions recorded in the national accounts are interactions between institutional units, some actions that occur within institutional units are also recorded as transactions. These are known as internal, or intra-unit transactions, which are recorded to give a more analytically useful picture of output and final use.
3.20 Consumption of fixed capital is an important example of an intra-unit transaction which is recorded in the ASNA. The estimation of consumption of fixed capital ensures that the decline in the value of a fixed asset used in production is included as a cost of production.
3.21 Estimates of the value of intra-unit transactions are also made to account for output which is produced and used within the same institutional unit. These transactions include the value of fixed assets produced for own use and the value of goods produced and consumed within households (such as agricultural produce and other 'backyard' production). The supply of output produced within an enterprise for use as intermediate input in the same enterprise is also regarded as an intra-unit transaction, although estimates of the value of such transactions are only recorded in national accounts if the supplying and receiving establishments are geographically separated.
Externalities and illegal actions
3.22 Externalities are unsolicited services, or 'disservices', delivered by one unit to another without mutual agreement. A typical example is a producer's pollution of air or water which is used by other units. Externalities are not market transactions into which institutional units enter of their own accord, and there is no mechanism to ensure that the positive or negative values attached to them by the various parties involved would be mutually consistent. For this reason, 2008 SNA recommends against recording the values of externalities in the national accounts.
3.23 2008 SNA treats illegal actions that fit the characteristics of transactions (notably the characteristic that there is mutual agreement between the parties) in the same way as legal actions. Thus, although the production or consumption of certain goods such as narcotics may be illegal, market transactions in such goods should, in principle, be recorded in the national accounts. Due to the difficulty in identifying and valuing illegal transactions, no explicit estimates for such activities are made in the ASNA. However, some illegal transactions are likely to be included in the national accounts if they are reported as part of legal activities or as income for taxation purposes.
3.24 As illegal actions which constitute crimes against persons or property (e.g. theft or violence) do not meet the criterion of transactions by mutual agreement they are not recorded as transactions.
Other flows
3.25 Other flows are changes in the value of assets and liabilities that do not take place through transactions. They are either other changes in the volume of assets or liabilities or holding gains and losses. Entries classified as other flows all appear in the other changes in volume of assets account or the revaluation account. Both accounts are components of the balance sheet accounts in the ASNA.
Stocks
3.26 Stocks are a position in, or holdings of, assets and liabilities at a point in time. Stocks are usually recorded at the beginning and end of each accounting period. The values of stocks of assets and liabilities are shown in the balance sheets of the system. Stocks are connected with the flows in that changes in their levels result from the accumulation of transactions and other flows over the accounting period in question. In the ASNA, closing balance sheet levels could be viewed as being obtained by the addition to the opening balance sheet levels of net capital formation, financial transactions, other changes in the volume of assets, and revaluations of assets and liabilities. However, in practice the balance sheet values for many components of financial assets and liabilities are obtained directly from survey data.
3.27 Values are recorded for non-financial assets, both produced and non-produced, and for financial assets and liabilities. The coverage of assets is limited to those assets used in economic activity and that are subject to ownership rights. Thus, stocks are not recorded for assets such as human capital and natural resources over which ownership rights cannot be enforced.
3.28 In order to discuss stocks, it is necessary to define assets and liabilities and these definitions depend crucially on the concepts of benefits and ownership. This is described as the asset boundary.
Economic benefits
3.29 An economic benefit is defined as denoting a gain or positive utility arising from an action. It implies a comparison between two states. Sometimes the immediate benefit is in terms of goods and services directly, for example own account production or wages and salaries in kind. More often a benefit is in the form of the medium of exchange (money), for example as wages and salaries. Consumption is an activity that takes place in the current period only but may be financed from past benefits. Production and accumulation also involve benefits postponed to future periods. Thus, means of allowing benefits to be moved from one accounting period to another must be recognised. These take the form of assets and liabilities where a benefit in one period is converted to a benefit in one or more future periods. Similarly, goods and services, or current benefits, may be acquired by committing future benefits in the form of financial liabilities.
Ownership
3.30 Two types of ownership can be distinguished, legal ownership and economic ownership. The legal owner of entities such as goods and services, natural resources, financial assets and liabilities is the institutional unit entitled in law and sustainable under the law to claim the benefits associated with the entities. The economic owner of entities such as goods and services, natural resources, financial assets and liabilities is the institutional unit entitled to claim the benefits associated with the use of the entity in question in the course of an economic activity by virtue of accepting the associated risks.
3.31 Every enterprise has both a legal owner and an economic owner, though in many cases the economic owner and the legal owner of an entity are the same. Where they are not, the legal owner has handed responsibility for the risk involved in using the entity in an economic activity to the economic owner along with associated benefits. In return the legal owner accepts another package of risks and benefits from the economic owner. In general, within the SNA, when the expression “ownership” or “owner” is used and the legal and economic owners are different, the reference should be understood to be to the economic owner.
Endnotes
Balancing items
3.32 A balancing item is obtained by subtracting the total value of the entries on one side of an account from the total value of entries the other side. It cannot be measured independently of the other entries. It does not relate to any specific set of transactions, or any set of assets, and so it cannot be expressed in terms of its own price or quantity units.
Balancing items in the flow accounts
3.33 Balancing items are not simply devices to ensure that accounts balance. They are often used as key macroeconomic indicators to assess economic performance. They encapsulate a great deal of information and include some of the most important entries in the accounts, for example:
- value added or domestic product;
- operating surplus;
- disposable income;
- saving;
- net lending or net borrowing;
- net change in financial position; and
- current external balance.
Balancing item in the balance sheets
3.34 Net worth, which is defined as the value of all the non-financial and financial assets owned by an institutional unit or sector less the value of all its outstanding liabilities, is the balancing item in the balance sheets. Net worth cannot be measured independently of the other entries, nor does it relate to any specific set of transactions.
3.35 As well as net worth appearing as a stock level, changes in net worth due to different sorts of transactions and other flows may also be derived. Just as the changes in the levels of any asset can be traced through changes in transactions and other flows throughout the period, so changes in total net worth can be exhaustively described according to the transactions and other flows that led to changes in the total level of assets and liabilities.
Grouping stocks and flows in the accounts
3.36 2008 SNA groups flows and stocks according to the classification of transactions, other flows, and entries related to stocks of assets and liabilities. The classification of transactions and other flows has five headings at the highest level, dealing with transactions in products, transactions showing how income is distributed and redistributed within the SNA, transactions in non-produced assets, financial assets and liabilities, and other accumulation entries.
3.37 In general, flows and stocks are entered either in the accounts of the institutional units that own or owned the goods and assets involved; the accounts of units that deliver or take delivery of services; or the accounts of units that provide labour and capital or use them in production.
Accounting rules
3.38 The ASNA's accounting rules cover the quadruple entry accounting principle, valuation, time of recording and grouping by aggregation, netting and consolidation of individual stocks and flows.
Quadruple-entry accounting
3.39 The accounting system underlying the ASNA derives from broad bookkeeping principles. To understand the accounting system for the ASNA, three bookkeeping principles should be outlined:
- Vertical double-entry bookkeeping, also known simply as double-entry bookkeeping used in business accounting - each transaction leads to at least two entries, traditionally referred to as a credit entry and a debit entry, in the books of the transactor. It ensures the total value of assets equals the total value of liabilities plus net worth of a unit’s balance sheet;
- Horizontal double-entry bookkeeping - is useful for compiling accounts that reflect the mutual economic relationships between different institutional units in a consistent way. It ensures the consistency of recording for each transaction category by counterparties; and
- Quadruple-entry bookkeeping - the simultaneous application of both the vertical and horizontal double-entry bookkeeping, which is the accounting system underlying the recording of transactions in the ASNA.
3.40 Quadruple- entry bookkeeping deals in a coherent way with multiple transactors or groups of transactors, each of which satisfies vertical double-entry bookkeeping requirements. A single transaction between two counterparties thus gives rise to four entries. In contrast to business bookkeeping, national accounts deal with interactions among a multitude of units in parallel, and thus require special care from a consistency point of view. As a liability of one unit is mirrored in a financial asset of another unit, for instance, they should be identically valued, allocated in time and classified to avoid inconsistencies in aggregating balance sheets of units by sectors or for the total economy. The same is also true for all transactions and other flows that affect balance sheets of two counterparties.
Valuation
General rules
3.41 The underlying principle of valuation in the system of national accounts is that all entries are recorded, in money terms, at the exchange value current during the accounting period; that is, the value at which flows and stocks are, or could be, exchanged for cash (including transferable deposits). The system does not attempt to determine the utility of the flows and stocks within its scope.
3.42 When goods and services are exchanged for cash or its equivalent, the required values are directly available. In addition, values are directly observable for flows and stocks that concern financial instruments, such as cash holdings or liabilities. The majority of flows and stocks in the national accounts fall into these categories.
3.43 In other cases, where no actual exchange values are available, the preferred method of valuation is by reference to the market value of similar goods, services, or assets. This method is used to estimate the value of the services of owner-occupied dwellings, and of 'backyard' production by households for their own use.
3.44 When no prices for similar products exist, it may be necessary to value goods or services by the amount that it costs to produce them. This is the case for most non-market goods and services produced by general government units and non-profit institutions serving households.
3.45 For some assets, it is necessary to estimate a value by writing down (depreciating) the initial acquisition costs. The value of such assets at a given point in their life is equal to their acquisition cost less the accumulated value of these write-downs. Typically, the current value of fixed assets is estimated by writing down current market prices for the accumulated consumption of fixed capital.
3.46 Where none of the above valuation methods is feasible, flows and stocks can be recorded at the net present value of expected future returns. This method is not generally recommended, as it involves a number of assumptions and the possibility of substantial future revisions to estimates. However, 2008 SNA recognises that it is the most appropriate method of valuation in circumstances where returns from assets are either delayed (as is the case with timber plantations) or spread over a lengthy period (as for mineral and energy resources).
3.47 Flows and stocks concerning foreign currency are converted to their value in national currency at the exchange rate prevailing when the transaction or flow takes place, or in the case of balance sheet items, the date to which the balance sheet applies. The exchange rate used for conversion to national currency is the mid-point between the buying and selling rate, so as to exclude any implicit foreign exchange service charge.
3.48 Valuations contained in business accounts, tax returns and other administrative records, which are widely used sources of data for national accounts purposes, often do not conform to the national accounting valuation standard. This is especially so in the case of depreciation, where rates of depreciation for tax purposes normally deviate from those underlying the national accounting concept of the consumption of fixed capital. In particular, depreciation for tax purposes is based on the historical cost of the assets whereas consumption of fixed capital in the national accounts is based on the current cost of the assets involved.
3.49 In some cases, invoice values may not accord with prices paid in the market for similar items. Where transactions are between affiliated enterprises under common management, the prices adopted for bookkeeping purposes - referred to as transfer prices - may not correspond to prices that would be charged to independent parties. By using artificially high or low prices, transfer pricing could be used as a device for shifting profits among enterprises within a group for taxation (or other) purposes. In principle, such transactions should be identified and re-valued if they are likely to significantly affect the interpretation of the accounts. Instances of transfer pricing are difficult to identify, and subsequently adjust for. In the ASNA, transactions prices are used as there is no current data on transfer pricing.
3.50 To maximise concordance with 2008 SNA accounting rules, surveys of businesses conducted by the ABS request data, where possible on a national accounts basis. Adjustments are made to source data that are not recorded on the required basis.
Special valuations concerning products
3.51 The producer and the user of a given product usually perceive its value differently, because of intervening transport costs, trade margins, taxes, and subsidies on products. In order to keep as close as possible to the views of the transactors, 2008 SNA recommends that outputs of products be valued at basic prices, while inputs, or final purchases, should be valued at purchasers' prices.
3.52 The basic price is the amount receivable by the producer from the purchaser for a unit of a good or service, minus any tax payable (including deductible value added taxes such as the GST) plus any subsidy receivable, as a consequence of production or sale of the unit. Subsidies artificially reduce the sale price, so they are included in the basic price to obtain a measure of the true value of the goods or services produced. Taxes on products, if included, would artificially increase the price, and so are deducted. The basic price also excludes any transport charges invoiced separately by the producer. The basic price therefore measures the amount retained by the producer in respect of the good or service that is produced as output.
3.53 The major output of the wholesale and retail trade industries is the value of the service provided in selling goods (i.e. goods purchased and resold are not treated as part of intermediate consumption). The value of the service is equal to the trade margins realised on the goods sold. The measurement of this service at basic prices is analogous to that for goods producing industries: output at basic prices is the value of the trade margins, including the value of any subsidies received by the wholesaler or retailer, and excluding taxes on production of the service.
3.54 The purchaser's price is the amount paid by the purchaser in order to take delivery of goods or services. Purchasers' prices include any taxes payable (less any subsidies receivable) on production and imports, and any transport charges paid separately by the purchaser to take delivery of goods. Value added taxes, such as the GST, are included in purchasers' prices unless they are allowable as deductions from the purchaser's value-added tax liability. Purchasers' prices are also referred to as market prices.
3.55 Imports and exports of goods are valued free-on-board (f.o.b.); that is, at the exporter's customs frontier.
3.56 The ASNA follows the 2008 SNA recommendations with respect to the valuation of products: in the I-O tables and the associated measures of value added by industry, gross output is measured at basic prices and intermediate inputs are measured at purchasers' prices. Expenditure items are recorded at purchasers' prices. Imports and exports of goods are valued f.o.b.. Details of other aspects of the valuation of imports and exports are contained in the ABS publication, Balance of Payments and International Investment Position, Australia: Concepts, Sources and Methods.
Valuation of other flows
3.57 For the valuation of the other changes in the volume of assets, it is usual to take the value of the asset before and after the change in volume and then to take the difference that is not explained by any transaction as the value of the other change.
3.58 Holding gains and losses accrue continuously and apply to both non-financial and financial assets and liabilities. In general, they are estimated by deducting from the total change in the value of assets those that can be attributed to transactions and to other changes in volumes. Since most financial assets are matched by liabilities, either within the domestic economy or with the rest of the world, it is important that holding gains in one are matched by holding losses in the other and vice versa.
Valuation of positions of financial assets and liabilities
3.59 Stocks of financial assets and liabilities should be valued as if they were acquired in market transactions on the balance sheet reporting date (or on the closest preceding date if the markets are closed on that date). Valuation according to market-value equivalent is needed for valuing financial assets and liabilities that are not traded in financial markets or are traded only infrequently. For these assets and liabilities, it will be necessary to estimate fair values that, in effect, approximate market prices. The present value of future cash flows can also be used as an approximation to market prices provided an appropriate discount rate can be used.
Time of recording
3.60 Flows in the national accounting system are ideally recorded on an accrual basis. Accrual accounting records flows at the time economic value is created, transformed, exchanged, transferred, or extinguished. Accrual accounting enables the profitability of productive activities to be evaluated without the disturbing influences of leads and lags in cash flows, and net worth to be calculated correctly at any given point. In terms of entries in the national accounts this means that:
- flows which imply a change of ownership are entered when legal ownership changes (this applies to financial assets as well as goods);
- services are recorded when provided;
- distributive transactions, such as compensation of employees, interest, rent on land, and social contributions and benefits are recorded in the period during which the amounts payable are built up. Interest on debt is recorded in the accounting period in which it accrues, regardless of whether or not it is actually paid in that period;
- output is recorded at the time products are created (not when paid for by a purchaser); and
- intermediate consumption is recorded in the period when the materials are used.
Change of ownership
3.61 In transactions involving the purchase of goods, accrual accounting usually arises naturally from the nature of the transaction. When goods are exchanged for financial assets (e.g. cash), accounting entries reflecting the change of ownership will be recorded at the same time for both the seller and the purchaser. However, the identification of the time of change of ownership is not always straightforward where exports and imports are concerned. In the absence of sources specifying the date of change of ownership, the time at which goods cross the frontiers of countries concerned (obtained from customs records) is usually taken as a proxy for this date. However, for certain exports and imports timing adjustments are made where supplementary information is available to more accurately reflect the time that ownership changes.
3.62 To accord with accrual accounting principles, transactions in financial assets should also be recorded on a change of ownership basis. Financial transactions are shown in the ASNA in the financial accounts.
Acquisition of services
3.63 Services are to be recorded when they are provided. While in most cases this is straightforward, there are types of services that require special treatment. The main types falling into this category are insurance, where the payments of premiums are made in advance, and housing, where the services provided by home ownership are continuous. In the ASNA, provisions are made to account for the services of insurance and housing in each accounting period.
Distributive transactions
3.64 Distributive transactions can be difficult to record on an accrual basis, as the accounting practices of the units involved are not always consistent with national accounting requirements. The most important item (in terms of size) affected in this way in the ASNA is wages and salaries, a component of compensation of employees. In addition, provisions for employee entitlements which qualify as liabilities should also be included, rather than the cash payments of these entitlements. Such liabilities include provisions for long service leave and annual leave, and contributions by employers to unfunded superannuation schemes. Interest on debt is recorded in the period during which the interest accrues. Dividend levels, however, are not unambiguously attributable to a particular earning period, and are therefore recorded when they are declared payable.
Output, intermediate input, changes in inventories, and consumption of fixed capital
3.65 The principle of recording on an accrual basis implies that output is recorded over the period in which the process of production takes place, and the intermediate consumption of goods or services is recorded at the time when the goods or services enter the process of production. Additions to inventories are recorded when products are purchased, produced or otherwise acquired, and deductions from inventories are recorded when products are sold, used up as intermediate consumption or otherwise relinquished.
3.66 In general, the collection methods used in the ASNA result in estimates on an accrual basis, although the extent to which this is possible depends upon the information received from the respondents to ABS economic statistics collections. Consumption of fixed capital is a cost which accrues over the whole period the fixed asset is available for productive purposes. The apportioning to accounting periods depends on the rate of depreciation used to estimate the using up of the asset. To be consistent with other entries in the accounts, consumption of fixed capital must be valued at the prices prevailing during the current accounting period (unlike depreciation for tax purposes, which is based on the historical cost of the assets).
Other flows
3.67 Other changes in the volume of assets are usually discrete events that accrue at precise moments or within fairly short periods of time (e.g. assets being destroyed in a natural disaster such as a bush fire).
Holding gains and losses
3.68 Changes in prices often have a more continuous character, particularly in respect of assets for which active markets exist. In practice, nominal holding gains or losses will be computed between two points in time:
- The moment at which:
- The accounting period begins; or
- Ownership is acquired from other units (through purchase or a transaction in kind); or
- An asset is produced; and
- The moment at which:
- The accounting period ends; or
- The ownership of an asset is relinquished (through sale or a transaction in kind); or
- An asset is consumed in the production process.
Timing adjustments for international transactions
3.69 Differences in the time of recording by partner economies may occur due to various factors. One of the intrinsic problems with recording international transactions is the difference in time zones as well as from delays in mail deliveries or settlement clearing processes. In most cases, data at some aggregate level rather than individual records are used in the compilation of international accounts. Several data sources may often only approximate the required basis. It is important to make timing adjustments where there are major divergences from the required basis.
Aggregation netting and consolidation
Aggregation
3.70 The vast number of individual transactions, other flows and assets within scope of the national accounts have to be arranged in a manageable number of analytically useful groups. Such groups are formed by crossing two or more classifications. For example, the classification of institutional sectors or industries is crossed with the classification of transactions, other accumulation entries or assets. In addition, incomes need to be distinguished from uses and assets from liabilities.
Netting
3.71 Individual units or sectors may have the same kind of transaction both as a receivable and as a payable (e.g. they both pay and receive interest) and the same kind of financial instrument as both an asset and a liability. Where all the items are shown at their full values, the recording is on a gross basis. Where the values of some items are offset against items on the other side of the account, or against items which have an opposite sign, the recording is on a net basis. Gross recording is applied in most cases, except where a degree of netting is inherent in the classifications themselves. Within the ASNA, an example of net recording is the aggregate for changes in inventories. Rather than record all individual additions to and withdrawals from inventories, the resulting overall changes are recorded in order to show the final effect on gross capital formation. Similarly, the financial accounts record increases in assets and liabilities on a net basis (i.e. acquisitions and disposals are offset) to bring out the final consequences of these types of flows at the end of the accounting period.
Consolidation
3.72 Consolidation refers to the elimination of transactions which occur between two transactors belonging to the same institutional sector or subsector. Consolidation within sectors or subsectors can be useful for the kinds of analysis which focus on the interactions between subsectors of the economy and between resident sectors and the rest of the world, where the overall final position is more significant than the details of gross transactions within sectors. Consequently, in the sector income, capital and financial accounts, transfer flows are generally consolidated. Likewise, the national income, capital and financial accounts are prepared on a consolidated basis; however, non-consolidation is the general rule in some parts of the national accounts, such as the I-O tables.
Chapter 4 Institutional units and sectors
Institutional units
4.1 In any economy, economic activity is undertaken by a variety of transactors. Corporations (both financial and non-financial), government units, households and non-profit institutions all engage in economic activity, but their economic objectives, functions and behaviour differ. For example:
- Corporations are created for the purpose of producing goods or services for the market at economically significant prices, usually as a source of profits for the units that own them. They undertake either production or accumulation (or both), but do not undertake final consumption. They are divided between those mainly providing financial services and those mainly providing goods or non-financial services.
- Non-profit institutions (NPIs) are created for the purpose of producing or distributing goods or services, but not for the purpose of generating income or profits for the units that control or finance them. They are diverse in nature with some behaving like corporations, some are effectively part of general government and some undertake activities similar to general government but are independent of it.
- Government units organise and finance the provision of non-market goods and services to individual households and the community at large, mainly financed out of taxation revenue. They are also concerned with the distribution and redistribution of income and wealth in accordance with government policies. They undertake production (but mainly of a different type from corporations), accumulation and final consumption on behalf of the population.
- Households are primarily consumer units, although they may also engage in production (i.e. the operation of unincorporated enterprises and non-profit institutions serving households) and accumulation.
4.2 Grouping transactors with similar objectives and types of behaviour into sectors enhances the usefulness of national accounts for purposes of economic analysis. For such purposes, 2008 SNA defines transactor units, called institutional units, and groups them into institutional sectors and subsectors.
4.3 An institutional unit is defined in 2008 SNA as:
… an economic entity that is capable, in its own right, of owning assets, incurring liabilities and engaging in economic activities and in transactions with other entities.²⁹4.4 An institutional unit is one that is able to:
- own and exchange goods or assets in its own right;
- make economic decisions and engage in economic activities for which it is held directly responsible and accountable at law;
- enter into contracts and incur liabilities on its own behalf; and
- compile, or is able to compile, a complete set of accounts, including a statement of financial position (i.e. a balance sheet of assets and liabilities).
4.5 In some instances, it is statistically advantageous to recognise some entities which do not meet the above criteria as separate institutional units. Notional institutional units are created to enable the collection of their economic activity. These units do not exist as separate institutional units from their owners and therefore are not institutional units in their own right, even where they operate autonomously and keep a full set of accounts.
4.6 2008 SNA identifies two main types of units that may qualify as institutional units: (i) households; and (ii) legal or social entities whose existence is recognised by law or society, independently of the persons or other entities that may own or control them.
Households
4.7 A household is a group of persons who share the same living accommodation, who pool some, or all, of their income and wealth and who consume certain types of goods and services collectively, mainly housing and food. Many assets are owned, or liabilities incurred, jointly by members of the same household, and income received by individual members may be pooled for the benefit of all members. In addition, many expenditure decisions may be made collectively for the household as a whole. As a result of these circumstances, it is not usually possible to draw up meaningful accounts for individual household members. The individual members of multi-person households are therefore not treated as separate institutional units; rather, the household is treated as the institutional unit.
4.8 As well as individual households, there are units described as institutional households that comprise groups of persons staying in hospitals, retirement homes, convents, prisons, etc. for long periods of time.
4.9 An unincorporated enterprise that is entirely owned by one or more members of the same household is treated as a part of that household and not as a separate institutional unit, except when the enterprise is treated as a 'quasi-corporation'.
Legal or social entities
4.10 The second type of institutional unit is a legal or social entity that engages in economic activities and transactions in its own right. 2008 SNA identifies three main types of legal and social entities: corporations, non-profit institutions and government units. In addition, some unincorporated enterprises belonging to households or government units behave in much the same way as corporations and are treated as quasi-corporations when they have complete sets of accounts. In the system, quasi-corporations are treated in the same way as corporations.
4.11 Corporations are defined in 2008 SNA as entities that are:
- capable of generating a profit or other financial gain for their owners;
- recognised at law as separate legal entities from their owners who enjoy limited liability; and
- set up for purposes of engaging in market production.³⁰
4.12 This implies a broader definition than just the legal sense (i.e. legally constituted corporations) as co-operatives, limited liability partnerships, notional resident units and quasi-corporations are also included.
4.13 Legally constituted corporations are created for the purpose of producing goods or services for the market that may be a source of profit or other financial gain to their owners and are collectively owned by shareholders who have the authority to appoint directors responsible for general management.
4.14 Co-operatives are set up by producers for the purposes of marketing their collective output. They effectively operate like corporations; however the profits of such co-operatives are distributed in accordance with their agreed rules and not necessarily in proportion to shares held. Similarly, partnerships whose members enjoy limited liability are separate legal entities that behave like corporations. In effect, the partners are at the same time both shareholders and managers.
4.15 A quasi-corporation is an unincorporated enterprise owned by a resident institutional unit that has sufficient information to compile a complete set of accounts, is operated as if it were a separate corporation and whose de facto relationship to its owner is that of a corporation to its shareholders. Also included is an unincorporated enterprise owned by a non-resident institutional unit that is deemed to be a resident institutional unit because it engages in a significant amount of production in the economic territory over a long or indefinite period of time and is subject to the income tax laws, if any, of the economy in which it is located even if it may have a tax-exempt status. Such a unit is termed a branch in 2008 SNA.
4.16 A notional resident unit is an artificial unit created if a non-resident unit is the legal owner of immovable assets such as land and other natural resources, and buildings and structures. The only exception is made for land and buildings in extra-territorial enclaves of foreign governments such as embassies, consulates, and military bases.
4.17 Two quite different types of units exist that are both often referred to as holding companies. The first is the head office that exercises some aspects of managerial control over its subsidiaries. These may sometimes have noticeably fewer employees, and more at a senior level, than its subsidiaries but it is actively engaged in production. Such units are allocated to the non-financial corporations sector unless all or most of their subsidiaries are financial corporations, in which case they are treated by convention as financial auxiliaries in the financial corporations sector.
4.18 The type of unit properly called a holding company is a unit that holds the assets of subsidiary corporations but does not undertake any management activities. 2008 SNA states that such units should be classified to the financial corporations sector and treated as captive financial institutions and money lenders even if all the subsidiary corporations are non-financial corporations. ASNA deviates from this treatment with holding companies classified to the sector reflective of the major economic activities of the controlled entities.
4.19 Government units are defined in 2008 SNA as unique types of legal entities established by political processes that have legislative, judicial, or executive authority over other institutional units within a defined area. The principal functions of government units are to (i) assume responsibility for provision of goods and services to the community or individual households and to finance their provision out of taxation and other income; (ii) redistribute income and wealth by means of transfers; and (iii) engage in non-market production.
4.20 Government units may engage in productive activity by:
- creating a public corporation whose corporate policy, including pricing and investment, it is able to control;
- creating an NPI that it controls; or
- producing goods or services itself in a unit it owns but that does not exist as a separate legal entity from the government unit.
4.21 Note that the unit in the last example may be treated as a quasi-corporation if the necessary conditions are met; that is, if the unit sets economically significant prices, is operated and managed in a similar way to a corporation and it has a complete set of accounts.
4.22 Non-profit institutions are defined in 2008 SNA as legal or social entities created for the purpose of producing goods or services whose status does not permit them to be a source of income, profit or other financial gain for the units that establish, control or finance them. In practice, their productive activities are bound to generate either surpluses or deficits but any surpluses they happen to make cannot be appropriated by other institutional units. The articles of association by which they are established are drawn up in such a way that the institutional units that control or manage them are not entitled to a share in any profits or other income they generate. For this reason, they are frequently exempted from various kinds of taxes.
4.23 2008 SNA distinguishes two broad types of NPIs: market producers and non-market producers. NPIs are defined to be market producers if they charge prices or fees which have a significant influence on both the amounts producers are willing to supply and the amounts purchasers are willing to buy (i.e. the prices are 'economically significant'). Market NPIs are also defined to include all NPIs serving businesses. Non-market NPIs dispose of their output free of charge, or at prices that are not economically significant. They are classified to the general government sector if controlled by government units. Non-market NPIs that are independent of government are classified to a separate sector in the national accounts. They are called non-profit institutions serving households or NPISHs and are currently classified to the household sector in the ASNA. NPISHs provide goods and services to households free, or at economically insignificant prices.
4.24 In 2008 SNA, institutional units are described as enterprises in their capacity as producers. The term, 'enterprise' may refer to a corporation, a quasi-corporation, an NPI or an unincorporated enterprise. Since corporations and NPIs other than NPISHs are primarily set up to engage in production, the whole of their accounting information relates to production and associated accumulation activities. Government, households and NPISHs necessarily engage in consumption but may also engage in production; indeed, government and NPISHs always engage in production and many, but not all, households do. Whenever the necessary accounting information exists, the production activity of these units is separated from their other activities into a quasi-corporation. It is when this separation is not possible that an unincorporated enterprise exists within the government unit, household or NPISH.
The ASNA equivalent of 2008 SNA institutional units and enterprises
4.25 The units concepts used in the ASNA are based on the ABS Economic Units Model. The ABS uses an economic statistics units model on the ABS Business Register to describe the characteristics of businesses, and the structural relationships between related businesses. The ABS Business Register is used primarily as a register or frame for the various business surveys run by the ABS, and to support the use of administrative data.
4.26 The Australian Business Register (ABR) is the primary source used to identify new businesses. This information flows through to the ABS Business Register. Businesses are included on the ABR when they register with the Australian Taxation Office (ATO) for an Australian Business Number (ABN). The ABN is used as the reference for all dealings between government and business.
4.27 The units model used by the ABS in determining the structure of businesses is consistent with Australia's Corporations Law and with the definition of institutional units articulated in 2008 SNA. The model consists of the enterprise group (EG), one or more legal entities (LE), one or more type of activity units (TAU), and one or more location units.
4.28 The ABS is unable to actively apply the units model to all ABN registrants. Enterprise groups which are considered sufficiently complex and significant are profiled to create units according to the units model. These groups are known as the profiled population.
4.29 The remainder of ABN registrants are assumed to have simple structures. They are regarded as single legal entity, single enterprise group and TAU. These units are known as the non-profiled population. The two populations are mutually exclusive and cover all organisations in Australia which have registered for an ABN.
4.30 The LE and the TAU are the main institutional and producing units used by the ABS to produce statistical outputs. They do not have a universal relationship with each other, e.g. one to one, one to many, many to one. A variety of relationships exist in some of the larger and more complex Australian enterprise groups. This is a limited departure from the 2008 SNA, which states that there is a hierarchical relationship between institutional and producing units. In the 2008 SNA, the enterprise (the producing view of an individual institutional unit) can be partitioned into one or more establishments. The 2008 SNA statement is true at the EG level, but not necessarily at the LE level.
Figure 4.1 illustrates the nature of the relationships between the unit types in the model. The LE represents the ABN in the diagram as they are usually the same.
Figure 4.1 Illustration of units model used in ASNA
*The legal entity (LE) statistical unit is generally the same as the ABN.
4.32 A legal entity is defined as a unit covering all the operations in Australia of an entity which possesses some or all of the rights and obligations of individual persons or corporations, or which behaves as such in respect of those matters of concern for economic statistics. Examples of legal entities include companies, partnerships, trusts, sole (business) proprietorships, government departments and statutory authorities. Legal entities are institutional units.
4.33 There are some differences between the institutional unit and the practices adopted for the ABS Business Register, even though the legal entity statistical unit is considered to closely approximate the institutional unit as defined in 2008 SNA. The ABS Business Register includes, as legal entity units, individual government departments and authorities and some not-for-profit institutions (e.g. church parishes) that have registered for an ABN but that do not meet the definition for recognition as separate institutional units.
4.34 The ABS Business Register also recognises unincorporated businesses (e.g. sole proprietorships, partnerships, family trusts) that are owned and operated by one or more households and have registered for an ABN as legal entities.
4.35 The enterprise group is an institutional unit covering all the operations in Australia of one or more legal entities under common ownership and/or control. It covers all the operations in Australia of legal entities which are related in terms of the current Corporations Law. These may be legal entities, such as trusts and partnerships, as well as companies. Majority ownership is not required for control to be exercised.
4.36 The type of activity unit is comprised of one or more legal entities, sub-entities or branches of a legal entity that can report productive and employment activities via a set of minimum data items. When defining a TAU, the primary importance is that the activity of the unit be homogeneous. A TAU will be created if accounts sufficient to approximate Industry Value Added (IVA) are available at the ANZSIC subdivision level. Good estimates of accounts are sufficient for this purpose.
4.37 A location is a single, unbroken physical area, occupied by an organisation, at which or from which, the organisation is engaged in productive activity on a relatively permanent basis, or at which the organisation is undertaking capital expenditure with the intention of commencing productive activity on a relatively permanent basis at some time in the future (a location not yet in operation). The exception is the agricultural location unit where land parcels operated as a single property are treated as a single location.
Residence
4.38 The ASNA records the economic activity and wealth of resident institutional units. The residence of each institutional unit is the economic territory with which it has the strongest connection, in other words, its centre of predominant economic interest. This concept is consistent with both 2008 SNA and BPM6. Some key features are as follows:
- the geographic territory under the effective control of the Australia's government;
- any islands belonging to Australia which are subject to the same fiscal and monetary authorities as the mainland;
- the land area, airspace, territorial waters, and continental shelf lying in international waters over which Australia enjoys exclusive rights or over which it has, or claims to have, jurisdiction in respect of the right to fish or to exploit fuels or minerals below the sea bed; and
- territorial enclaves in the rest of the world (that is, geographic territories situated in the rest of the world and used, under international treaties or agreements, by general government agencies of the country). Territorial enclaves include embassies or consulates, military bases, scientific stations, etc. It follows that the economic territory of Australia does not include the territorial enclaves used by foreign governments which are physically located within Australia’s geographical boundaries.
4.39 Specifically, the economic territory of Australia consists of geographic Australia including Cocos (Keeling) Islands and Christmas Island, Norfolk Island, Australian Antarctic Territory, Heard Island and McDonald Islands, Territory of Ashmore Reef and Cartier Island and Coral Sea Islands. However, due to administrative complexities and measurement difficulties, Norfolk Island transactions will not always be captured. Most transactions involving Norfolk Island are not material to Australia's overall economic performance; however, any significant transactions will be identified and included in the relevant statistics.
4.40 An institutional unit has a centre of predominant economic interest in an economic territory when there is a location within the country’s territory from which it engages in economic activities and transactions on a significant scale, on a continuing basis. Such activities are conducted indefinitely or over a longer period of time (generally defined as one year or more). From this definition it follows that short-term production of goods or services undertaken by an Australian enterprise abroad, for example installation of equipment, can be treated as part of the GDP of Australia (and classified as exports of goods or services from Australia).
4.41 In addition, ownership of land or buildings within the economic territory of a country is deemed to give the owner a centre of economic interest in that country. Therefore, all land and buildings are owned by residents. If the centre of predominant economic interest of the non-resident owner of land or buildings remains outside the country where the property is located, the land or buildings are considered to be owned by a foreign direct investment enterprise and controlled by the non-residents. Any rents paid by the tenants of such land or buildings are deemed to be paid to the foreign direct investment enterprise, which in turn makes a transfer of property income to the actual non-resident owner.
4.42 In general, an institutional unit is resident in one and only one economic territory determined by the unit's centre of predominant economic interest. An exception is made for multi-territory enterprises that operate a seamless operation over more than one economic territory; that is, it is run as an indivisible operation with no separate accounts or decisions. Such enterprises are typically involved in cross-border activities and include shipping lines, airlines, hydroelectric schemes on border rivers, pipelines, bridges, tunnels, and undersea cables. If it is not possible to identify a parent or separate branches, it is necessary to prorate the total operations of the enterprise across the individual economic territories.
4.43 Individual members of households who leave the economic territory of a country and return after a limited period (less than one year) continue to be regarded as residents of that country. For example, a member of a resident Australian household who travels abroad for recreation, business, health or other purposes and returns within one year is treated while abroad as a resident of Australia for national accounts (and balance of payments) purposes. In the ASNA, any consumption expenditure undertaken abroad is therefore considered an import of goods or services. An exception to the one-year rule is made in the case of students and medical patients. Students are treated as residents of their country of origin, however long they study abroad. Medical patients abroad are also treated as residents of their country of origin, even if their stay is one year or more.
4.44 Individuals travelling to other countries for seasonal work, and those who cross country borders frequently for work purposes only, also remain residents of their original economic territory. This also applies to locally recruited staff of foreign embassies, consulates, military bases etc., and the crews of ships, aircraft, or other mobile equipment (such as drilling rigs) operating wholly or partly outside the economic territory. The staff of international organisations who work within the enclaves of those organisations are treated as residents of their country of origin if they work for less than one year. If they work with the international organisation for more than one year, they are treated as residents of the host country of the international organisation's enclave.
4.45 Unincorporated enterprises that are not quasi-corporations are not separate institutional units from their owners and, therefore, have the same residence as their owners. Corporations and NPIs are normally expected to have a centre of predominant economic interest in the country in which they are legally constituted and registered. Corporations may be resident in countries different from their shareholders and subsidiary corporations may be resident in countries different from their parent corporations. When a corporation, or unincorporated enterprise, maintains a branch, office or production site in another country in order to engage in production over a long period of time (generally defined as one year or more) but without creating a subsidiary corporation for the purpose, the branch, office or site is considered to be a quasi-corporation (that is, a separate institutional unit) resident in the country in which it is located.
4.46 International organisations established by international agreement (such as the United Nations) are accorded sovereign status, with their own economic territory consisting of the land and structures used by the organisation in the countries where they are physically located. International organisations are therefore not resident units of any country and all transactions with them are treated as transactions with non-residents.
Endnotes
Institutional sectors
4.47 The institutional sectors of 2008 SNA group together similar kinds of institutional units. Corporations, NPIs, government units and households are intrinsically different from each other in that their economic objectives, functions and behaviour are different. Institutional units are allocated to a sector according to the nature of the economic activities they undertake. The three basic economic activities recorded in 2008 SNA are production of goods and services, consumption to satisfy human wants or needs, and accumulation of various forms of capital.
4.48 2008 SNA groups institutional units with similar functions into the following institutional sectors:
- the non-financial corporations sector;
- the financial corporations sector;
- the general government sector;
- the household sector; and
- the non-profit institutions serving households sector.
4.49 The figure below shows the 2008 SNA allocation of types of institutional units to institutional sectors. The same allocation rules are followed in the ASNA; however, the NPISH sector is consolidated within the household sector in the Australian System of National Accounts.
Figure 4.2 Illustrative allocation of institutional units to institutional sectors
4.50 The sectors of the total economy and the rest of the world are highlighted. Once non-resident units and households are set aside, only resident legal and social entities remain. Three questions determine the sectoral allocation of all such units. The first is whether the unit is a market or non-market producer. This depends on whether most of the unit’s production is offered at economically significant prices or not.
4.51 The second question determining sectoral allocation applies to non-market units, all of which, including non-market NPIs, are allocated either to general government or to the NPISH sector. The determining factor for sectoral allocation is whether a non-market unit is part of, or controlled by, government.
4.52 The third question determining sectoral allocation applies to market units, all of which, including market NPIs, are allocated to either the non-financial corporations sector or the financial corporations sector.
Non-financial corporations sector
4.53 The non-financial corporations sector consists of all resident corporations, notional institutional units and quasi-corporations that are principally engaged in the production of market goods and/or non-financial services, and holding companies with mainly non-financial corporations as subsidiaries. It includes:
- resident non-financial corporations irrespective of the residence of their shareholders;
- quasi-corporations (including branches of foreign owned non-financial enterprises that are engaged in significant production in the economic territory on a long-term basis);
- non-profit institutions that are market producers of goods or non-financial services; and
- investment funds investing in predominantly non-financial assets such as infrastructure and property.
4.54 2008 SNA identifies three subsectors within the non-financial corporations subsector:
- Public non-financial corporations are resident non-financial corporations or quasi-corporations that are government owned or controlled.
- National private non-financial corporations are resident non-financial corporations or quasi-corporations that are not controlled by government or non-resident institutional units. Market NPIs are included in this subsector.
- Foreign controlled non-financial corporations are resident non-financial corporations or quasi-corporations that are controlled by non-resident institutional units.
4.55 The latter two subsectors are not distinguished in the ASNA. The disaggregation in ASNA is:
- Public non-financial corporations; and
- Private non-financial corporations.
4.56 Public non-financial corporations are further dissected into national and state and local subsectors.
4.57 Private non-financial corporations are further dissected into non-financial investment funds and other private non-financial corporations. The inclusion of non-financial investment funds in the non-financial corporations sector is a departure from 2008 SNA which includes all non-money market investment funds in the financial corporations sector. Non-financial investment funds invest in non-financial assets, usually real estate.
4.58 The ABS publication, Australian National Accounts: Finance and Wealth provides a further sectoral breakdown of non-financial corporations into public and private, with the public sector dissected into national and state and local subsectors, and private sector dissected into non-financial investment funds and other private non-financial corporations.
Financial corporations sector
4.59 The financial corporations sector consists of all resident corporations, notional institutional units, quasi-corporations, and market NPIs that are principally engaged in financial intermediation or in auxiliary financial activities. Financial corporations are distinguished from non-financial corporations because of their different roles in the economy, and the inherent differences in their respective functions and activity. Financial corporations are mainly engaged in financial market transactions, which involve incurring liabilities and acquiring financial assets; that is, borrowing and lending money, providing superannuation, life, health or other insurance, and financial leasing or investing in financial assets. In this process, the corporations are not acting as agents, but rather place themselves at risk by trading in financial markets on their own account. Financial auxiliaries are also classified to the financial corporations sector. They include stockbrokers, insurance brokers, investment advisers, trustees, custodians and nominees, mortgage originators and other entities that are engaged in providing services closely related to financial intermediation, even though they do not intermediate themselves.
4.60 Subsectors of the financial corporations sector identified in ASNA are:
- Central Bank – the Reserve Bank of Australia (RBA).
- Depository corporations – consist of all resident financial corporations and quasi-corporations, except the central bank, that are principally engaged in financial intermediation and have liabilities in the form of deposits or financial instruments that are close substitutes for deposits such as short-term certificates of deposits. This subsector is dissected into:
- Authorised deposit-taking institutions; and
- Other broad money institutions.
- Superannuation funds and insurance corporations – consist of all funds that provide retirement benefits for specific groups of people and all corporations that provide life and other insurance cover, including reinsurance services. This subsector is dissected into:
- Superannuation funds;
- Life insurance corporations; and
- Non-life insurance corporations.
- Financial investment funds – these are collective investment schemes that raise funds by issuing shares or units to the public and the proceeds are invested primarily in financial assets. This subsector is dissected into:
- Money market funds (MMF) – which invest in transferable debt instruments with a residual maturity of no more than one year, bank deposits and instruments that pursue a rate of return that approaches the interest rates of money market instruments; and
- Non-money market financial investment funds (NMMF) – which invest in financial assets other than short-term assets.
- Central Borrowing Authorities (CBAs) – are captive financial institutions established by each State and Territory government to primarily provide finance for public corporations and notional institutional units and other units owned or controlled by the government. They raise funds predominantly by issuing securities, arranging the investment of these unit's surplus funds and participating in the financial management activities of the parent government.
- Securitisers – are financial intermediaries that pool various types of assets such as residential mortgages, commercial property loans and credit card debt, and package them as collateral to issue bonds or short-term debt securities, referred to as asset backed securities.
- Other financial corporations – include other financial intermediaries, financial auxiliaries, money lenders and other captive financial institutions described as follows:
- Other financial intermediaries – includes housing finance schemes established by State and Territory governments; economic development corporations owned by government to fund infrastructure developments;
- Financial auxiliaries – units engaged in activities closely related to financial intermediation, but which do not themselves perform an intermediation role; that is, the auxiliary does not take ownership of the financial assets and liabilities being transacted. The types of corporations included are insurance brokers, loan brokers, investment advisors, managers of superannuation funds, securities brokers, etc.;
- Money lenders – units providing financial services where most of their assets and liabilities are not transacted on the open markets; for example, pawnshops that predominantly engage in lending; and
- Other captive financial institutions – units characterised by having a balance sheet holding financial assets on behalf of other companies. These institutions are usually legal entities such as corporations, trusts or partnerships established for a specific or limited purpose; for example, to hold the assets of a group of subsidiary corporations.
General government sector
4.61 The general government sector consists of government units and non-market NPIs that are controlled by government. The general government sector includes all government departments, offices and other bodies mainly engaged in the production of goods and services outside the normal market mechanism for consumption by government itself and the general public. The units' costs of production are mainly financed from public revenues and they provide goods and services to the general public, or sections of the general public, free of charge or at nominal charges well below costs of production. The sector includes government enterprises mainly engaged in the production of goods and services for other general government units. Also included are NPIs that are serving businesses or households and are composed largely of private sector members but are controlled by governments.
4.62 Subsectors within the general government sector in ASNA are:
- national; and
- state and local.
4.63 Public universities are treated as non-market NPIs controlled by government and are allocated to the general government sector. They are included in the national subsector together with Commonwealth general government.
4.64 Public universities are defined as non-market NPIs based on their funding arrangements. While most public universities were created by State legislation, the bulk of their funding is received from the Commonwealth government. Public universities are allocated to the government sector on the basis that, while no Australian government is able to control universities in the sense of being able to appoint their managing officers, it is clear that the Commonwealth government is able to exercise a significant degree of control through its funding power.
Household sector
4.65 The household sector consists of all resident households, defined as small groups of persons who share accommodation, pool some or all of their income and wealth, and collectively consume goods and services, principally housing and food. Although households are primarily consumers of goods and services, they also engage in other forms of economic activity through their operation of unincorporated enterprises. Such unincorporated enterprises are included in the household sector because the owners of ordinary partnerships and sole proprietorships will frequently combine their business and personal transactions, and complete sets of accounts in respect of the business activity will often not be available.
4.66 The 2008 SNA suggests that the household sector may be divided into subsectors on the basis of the type of income that is the largest source of income for each household or, alternatively, on the basis of other criteria of an economic, socioeconomic or geographical nature. 2008 SNA advises that statistical agencies determine the number and nature of subsectors to suit their own purposes, in view of differing needs across countries in relation to the analysis of the household sector. ASNA does not include any further dissection.
Non-Profit Institutions serving households sector (NPISH)
4.67 All institutional units of a particular type are grouped together within the same sector with the exception of NPIs. They are classified to various sectors depending on the nature of the NPI. Market NPIs are allocated to either the non-financial corporations sector or the financial corporations sector, depending on which sector they serve. Non-market NPIs that are controlled by government units are allocated to the general government sector. For example, an NPI which is mainly financed by government may be controlled by that government. It would not be considered controlled by government if the NPI remains able to determine its policy or programme to a significant extent.³¹ Other non-market NPIs - those not controlled by government - are allocated to the NPISH sector (note again that the NPISH sector has not been separately identified in the ASNA).
4.68 The NPISH sector includes the following two main kinds of NPISHs that provide goods or services to their members or to other households without charge, or at prices that are not economically significant:
- organisations whose primary role is to serve their members, such as trade unions, professional or learned societies, consumers' associations, political parties, churches or religious societies, and social, cultural, recreational and sports clubs; and
- philanthropic organisations, such as charities, relief and aid organisations financed by voluntary transfers in cash, or in kind, from other institutional units.
Rest of the world
4.69 In addition to accounts for the resident sectors, 2008 SNA includes external (rest of the world) accounts, which provide a summary of all transactions of residents with non-residents (e.g. overseas governments, persons and businesses). The rest of the world consists of all non-resident institutional units that enter into transactions with resident units or have other economic links with resident units. It is not a sector for which complete sets of accounts have to be compiled, although it is often convenient to describe the rest of the world as though it were a separate sector.
4.70 As discussed in relation to residence, the rest of the world includes institutional units that may be physically located within the geographical boundary of a country, for example, foreign enclaves such as embassies, consulates or military bases, and international organisations that are not treated as resident institutional units.
Endnotes
Institutional sectors and subsectors in the ASNA
SECTORS | SUBSECTORS | |
---|---|---|
Non-financial corporations | Private | |
Private non-financial investment funds | ||
Other private non-financial corporations | ||
Public | ||
National | ||
State and local | ||
Financial corporations | Central Bank | |
Depository corporations | ||
Authorised deposit-taking institutions | ||
Other broad money institutions | ||
Superannuation funds and insurance corporations | ||
Superannuation funds | ||
Life insurance corporations | ||
Non-life insurance corporations | ||
Financial investment funds | ||
Money market funds | ||
Non-money market financial investment funds | ||
Central borrowing authorities | ||
Securitisers | ||
Other financial corporations | ||
General government | National | |
State and local | ||
Households (a) |
(a) Including uninccorporated businesses n.e.c. and non-profit insitiutions serving households.
4.71 Institutional sector and associated classifications used in ABS statistics are described in the ABS publication, Standard Economic Sector Classifications of Australia (SESCA). The classifications included in SESCA are based on international standards, adapted to suit Australian situations where appropriate. The institutional sector classification, the SISCA, is the main classification used for sectoring in the ASNA. For simplicity of presentation, the SISCA excludes the private/public, level of government and foreign controlled distinctions that are part of the 2008 SNA classification of institutional sectors. These distinctions are contained in other classifications within SESCA. The table above shows the domestic institutional sectors and subsectors included in the ASNA. Accounts for the rest of the world are grouped as 'external accounts' in ASNA. These accounts conform to the 2008 SNA definition of the rest of the world sector.
4.72 With the exception of the combination of the NPISH and household sectors, the ASNA structure corresponds with the structure outlined in 2008 SNA. The subsectors are a combination of 2008 SNA subsectors (adapted to Australian conditions) and other 2008 SNA-compliant classifications from the SESCA, as follows:
- the distinction between the private and public subsectors within the non-financial corporations sector is based on the ABS private/public classification;
- the Commonwealth, state and local, and national subsectors are based on the ABS level of government classification; and
- unlike 2008 SNA, SISCA and the ASNA distinguish authorised deposit-taking institutions from other broad money institutions, CBAs from captive financial institutions, and securitisers from other financial institutions.
4.73 The national subsector is so named because it includes units that are subject to a degree of control from both Commonwealth and state governments, and that cannot be allocated to either a state or Commonwealth subsector. The national subsector therefore includes multi-jurisdictional units in addition to units that are solely under the jurisdiction of the Commonwealth. At present, public universities are the only multi-jurisdictional institutions that are included in the national subsector.
Concordance between ASNA and 2008 SNA sector and subsector definitions
4.74 The composition of the ASNA institutional sectors and subsectors accords with 2008 SNA definitions in most cases. Instances where the ASNA's sectoral composition differs from the 2008 SNA guidelines are described in the following paragraphs.
Non-MMF investment funds
4.75 2008 SNA includes all non-MMF investment funds within the financial corporations sector. However, in ASNA, only those investment funds investing predominantly in financial assets are treated as financial corporations. Those investing in non-financial assets, such as property, are treated as non-financial corporations. This distinction is based on whether the institution's primary income is obtained from rentals, or dividends and interest.
Quasi-corporations in the non-financial and financial corporations sectors
4.76 One feature of both the non-financial corporations sector and the financial corporations sector is that they are designed to cover businesses which are legally, or clearly act as, entities independent of their owners with regard to their income, consumption and capital financing transactions, and accordingly are required to maintain separate profit and loss and balance sheet accounts. Private enterprises classified to these sectors are mainly companies registered under the Companies Act or other Acts of Parliament. However, 2008 SNA also recommends that all quasi-corporations be treated as corporations and allocated either to the non-financial corporations or the financial corporations sector. In Australia, it is often difficult to distinguish quasi-corporations owned by households where the bulk of quasi-corporations are not presently identifiable from ABS data sources. In the ASNA, unincorporated enterprises identified as quasi-corporations are currently limited to large and easily identified enterprises such as partnerships of companies, unit trusts of companies, credit unions, building societies, branches of overseas corporations, and mutual societies. All sole proprietors, partnerships and trusts of individuals are treated as unincorporated enterprises, and are included in the household sector in the ASNA.
Non-profit institutions serving households (NPISH)
4.77 In the ASNA, the recommendations of 2008 SNA are followed with regard to the sector allocation of NPIs that are market producers, and those that are controlled by government units under certain criteria. Contrary to 2008 SNA recommendations, the SISCA does not include separate subsectors within the corporations and general government sectors for NPIs.
4.78 A lack of data availability on the transactions of NPISHs inhibit the construction of a full range of sector accounts for NPISHs. For more information, see the feature article Deconsolidated Household Income Account in the 2013-14 issue of Australian System of National Accounts.
Chapter 5 Producing units, products and industries
Producing units - Introduction
5.1 Institutional units operate in the economy and are grouped into institutional sectors. However, the production activities of institutional units can be diverse and heterogeneous with respect to the types of production processes and goods and services produced by the producing units belonging to institutional units. For analyses of production, analysts prefer to work with groups of producing units that are engaged in essentially the same kind of production. Such groups are called industries. Therefore, although institutional units can be allocated to industries, for the compilation of statistics classified by industry the units of interest are the producing units owned by institutional units. Producing units are sufficiently homogeneous, in terms of their range of activities, to enable them to be classified to industry at the required level of industry detail, based on their predominant activity.
5.2 Institutional units in their capacity as producers are described as enterprises. Enterprises can be allocated to industries in accordance with the types of productive activities in which they engage. However, as explained below, an enterprise may engage in both principal and secondary types of productive activity, and large corporations may be involved in many different kinds of productive activity simultaneously, encompassing a wide range of goods and services. Therefore, for the analysis of production classified by industry, it is necessary to partition (or split) enterprises into units that are more homogeneous in terms of the range of productive activities in which they engage. These units are described as type of activity units (TAUs) in ASNA.
5.3 The principal activity of a producing unit is the activity with value added that exceeds the value added of any other activity carried out by the same unit. In this context, activities are the kinds of production (based on outputs, inputs, production techniques or output uses) that are defined as the principal activities of each industry in the International Standard Industrial Classification, Revision 4, published by the United Nations. A secondary activity is an activity with value added less than that of the principal activity. To be considered as either principal or secondary activities, the outputs from the activities must be goods or services that are capable of being delivered to other units even though they may be used for own consumption or for own capital formation.
5.4 The output of ancillary activity is not intended for use outside the enterprise. Ancillary activity is undertaken within an enterprise to support the principal or secondary activities. Activities which may be classified as ancillary include record keeping; electronic or other forms of communication; purchasing materials and equipment; personnel management; warehousing; transportation; sales promotion; cleaning, repairs and maintenance; security and surveillance. For national accounting purposes, the output of an ancillary activity is not explicitly recognised or recorded, and all inputs to ancillary activities are treated as inputs to the principal or secondary activities that they support. When ancillary activity grows to the point that it has the capacity to provide services outside an enterprise, it is treated as a secondary activity.
Producing units
5.5 The System of National Accounts 2008 discusses three types of units into which enterprises can be partitioned for the purpose of industry statistics:
- Kind-of-activity unit - defined as an enterprise, or a part of an enterprise, which engages in only one kind of (non-ancillary) productive activity, or in which the principal productive activity accounts for the most of the value added.
- Local unit - an enterprise or a part of an enterprise that engages in productive activity at or from one location.
- Establishment - a combination of kind-of-activity and local units. This is defined as an enterprise, or a part of an enterprise, that is situated in a single location and in which only a single productive activity is carried out or in which the principal productive activity accounts for most of the value added. Although establishments can engage in secondary activities, 2008 SNA recommends that, if the secondary activity is significant, it should be treated as part of another establishment. Examples of establishments are individual farms, mines, quarries, factories, shops, construction sites and airports³².
5.6 If an enterprise comprises of only a single establishment, the two units coincide and the production account for the establishment is the same as for the enterprise. However, establishments are conceptually distinct from enterprises, in that an establishment does not engage in transactions on its own account, or incur liabilities, enter contracts and so on. The enterprise which owns the establishment is the unit which engages in these types of activities, and makes the decisions concerning the productive activities of the establishment. It follows therefore that only the production account and generation of income account can be compiled by industry as well as by sector. Consequently, it is feasible to calculate output and intermediate use (and therefore value added), compensation of employees, taxes (and subsidies) on production and imports, and operating surplus/mixed income for an establishment.
5.7 The establishment is designed to facilitate industry analysis, which is concerned with the outputs and inputs to the production processes of enterprises. Information about establishments is used to:
- value commodities produced and goods and services used in production;
- measure industry employment, compensation of employees, operating surplus, changes in inventories and gross fixed capital formation; and
- derive estimates of productivity. The enterprise provides information on the broader functions of an institutional unit engaged in production, enabling production to be classified to institutional sectors.
5.8 The following outlines instances where application of these principles is not straightforward:
- A horizontally integrated enterprise is one in which several different kinds of activities that produce different kinds of goods or services for sale on the market are carried out simultaneously using the same factors of production. Within the SNA, a separate establishment should be identified for each different kind of activity wherever possible.
- A vertically integrated enterprise is one in which different stages of production, which are usually carried out by different enterprises, are carried out in succession by different parts of the same enterprise. The output of one stage becomes an input into the next stage, with only the output from the final stage being actually sold on the market. Despite the practical difficulties involved in partitioning vertically integrated enterprises into establishments, it is recommended in the SNA that, when a vertically integrated enterprise spans two or more sections of the ISIC, at least one establishment must be distinguished within each section.
- Government units, especially central governments, may be particularly large and complex in terms of the kinds of activities in which they engage.
- If an unincorporated enterprise of government is a market producer and there is sufficient information available to treat it as a quasi-corporation, it should be treated as a publicly controlled unit in the non-financial or financial corporations sectors as appropriate.
- If an unincorporated enterprise of government is a market producer and there is insufficient information to treat it as a quasi-corporation, or if the unincorporated enterprise is a non-market producer, then it remains within the general government sector but it should be treated as an establishment in its own right and allocated to the appropriate industry.
- Non-market producers such as public administration, defence, health and education providing final goods or services should be partitioned into establishments using activity classification of the ISIC.
- If the activity of a unit undertaking purely ancillary activities is statistically observable, in that separate accounts for the production it undertakes are readily available, or if it is located in a geographically different location from the establishments it serves, it should be recognised as a separate establishment and classified to its own principal activity. This is a change to the treatment in 1993 SNA where ancillary activities related to an individual establishment were treated as an integral part of the costs of the establishment's principal or secondary activities and no separate unit was created. An enterprise may include central ancillary units that carry out ancillary activities for all establishments of the same enterprise.
The ASNA equivalent of producing units
5.9 The producing unit in the ASNA's units model is the TAU. The TAU is a producing unit comprising of one or more business entities, sub-entities or branches of a business entity that can report production and employment activities via a minimum set of data items. The activity of the unit should be as homogeneous as possible. If accounts sufficient to approximate value added are available at the ANZSIC subdivision level, a TAU will be formed. Where a business cannot supply adequate data to form a TAU for an individual ANZSIC subdivision, a TAU will be formed which contains activity in two or more ANZSIC subdivisions.
5.10 In its simplest form, the TAU relates to the ABN of the business. In the case of complex and varied business structures, it may be inappropriate for the TAU to be created to refer to the ABN.
5.11 Ideally, all TAUs are constructed so that two-digit ANZSIC homogeneity is observed. This ensures that good quality industry estimates can be calculated by the ABS at that level. Not all businesses are able to supply a complete set of accounts for every ANZSIC Subdivision in which they have activity.
5.12 Only a small number of data items are required to be available on a quarterly basis. The data items are: total capital expenditure; income from the sale of goods and services; wages and salaries; total inventories; total purchases; and selected expenses. When all these data items are not available from business accounts, a TAU can still be formed if careful estimates can be provided.
5.13 Where businesses cannot provide the necessary data for separate activities, and if separate activities are being carried out at a significant level (in relation to the known/estimated activity of those industries), the TAU may be a candidate for unit splitting. If it is decided to split the TAU for statistical purposes, two or more new TAUs are formed as the statistical units and the former TAU becomes the reporting unit. Data will be reported by the former TAU for its multiple activities and the ABS will apportion it to the new split TAUs for statistical outputs. The estimates for the split units will be produced using benchmarks determined at the time of splitting.
5.14 TAUs are not created based on any geographic criteria. However, it is necessary to create special State and Territory units for some TAUs to accommodate state estimates. This unit is referred to as the TAU State. The TAU State is not stored as a specific unit on the ABS Business Register. Rather, information which allows the TAU State unit to be formed is stored.
5.15 A business unit's productive activity is described as ancillary when its sole function is to provide common types of services for intermediate consumption within the same enterprise group. These are typically services likely to be needed in most enterprise groups, whatever their principal activities; for example, transportation, purchasing, sales and marketing, various financial or business services, personnel, computing and communications, security, maintenance and cleaning.
5.16 The 2008 SNA treatment of ancillary units is that an establishment should be created where the activity of the unit is statistically observable. The ABS does not currently apply the recommended 2008 SNA treatment to ancillary TAUs, as the treatment cannot be applied to all units on the ABS Business Register.
Endnotes
Products and industries
Products
5.17 A product is a good or a service.
5.18 One of the main international standards for the classification of products is the Central Product Classification, Version 2 (CPC, Ver. 2.0), which is based on the intrinsic characteristics of the goods or the nature of the services rendered. This results in a classification structure that is different from that used for industries. Its fundamental principle is that the classification combines in one category goods or services that are normally produced in only one industry as defined in ISIC (i.e. industry of origin principle). It covers the production, trade and consumption of all goods and services
Industries
5.19 An industry is defined as ‘a group of establishments engaged in the same, or similar, kinds of activity’.
5.20 The International Standard for the Classification of Industries is a four-level hierarchical classification, which includes in the same industry grouping all establishments with the same principal activity. It takes into account not only the goods produced and services rendered, but also the inputs into the production process and the technology used in the production process.
5.21 A one-to-one correspondence does not exist between activities and products and hence between industries and products. Certain activities produce more than one product simultaneously, while the same product may sometimes be produced by using different techniques of production.
Products and industries in the ASNA
5.22 TAUs are classified to industries according to the Australian and New Zealand Standard Industrial Classification, 2006. ANZSIC06 has been developed by the ABS and Stats New Zealand for use in both countries for the compilation and analysis of industry statistics. To ensure international comparability, this classification is aligned as closely as possible with the ISIC Rev 4.
5.23 ANZSIC06 comprises four levels; namely divisions (the broadest level); subdivisions; groups; and classes (the lowest level). TAUs are defined to be homogeneous at the subdivision level.
5.24 Industry statistics in the ASNA are presented on a basis that is consistent with ANZSIC06. Value added is presented on an ANZSIC06 industry basis at the divisional level, and also at the subdivisional level for the following industries: Agriculture, forestry and fishing; Mining; Manufacturing; Electricity, gas, water supply and waste services; and Transport, postal and warehousing. A number of income components of the ASNA are also presented on an ANZSIC06 industry basis. Industry data in the S-U and I-O tables are classified according to the Supply-Use Industry Classification (SUIC) and Input-Output Industry Group (IOIG) respectively, which are based on ANZSIC06. While some of the S-U and I-O industries correspond to a single ANZSIC06 industry class, most SUIC and IOIG industries constitute a grouping of similar ANZSIC06 industries. These groupings are formed to enable the S-U tables and I-O tables to present a balanced picture of the structure of the economy while maintaining comparability between the latest published tables and earlier ones.
5.25 Product statistics in the ASNA concord with the CPC, Ver. 2.0 to at least the three-digit level. Product data in the S-U tables and I-O tables are classified according to the Supply-Use Product Classification (SUPC) and Input-Output Product Classification (IOPC) respectively. Both classifications are based on the CPC Ver 2.0. While some of the S-U and I-O products correspond to a single SUIC and IOIG respectively, most S-U and I-O industries will consist of a grouping of similar SUPCs and IOPCs.
Chapter 6 Price and volume measures
Introduction
6.1 In the Australian economy, millions of economic transactions take place every day involving the production and sale of goods and services (products). The monetary value of each of these transactions is a product of the quantity produced or sold at a price per unit. In a particular period, the total value of all transactions taking place in an economy is simply the sum of the individual transaction values in that period. This is referred to as the current price value.
6.2 For many purposes, economists and other analysts wish to measure the volume growth of production and expenditures; that is, growth free of the effects of price change. The current price values are subject to the effects of changing prices and so they are unsatisfactory for these purposes. Consider the sale of beef and chicken in the following example:
In period 1, 20 kilos of beef are sold at $1.00 per kilo for a value of $20.00 and 10 kilos of chicken are sold at $2.00 per kilo for a value of $20.00. Total sales of meat are valued at $40.00.
In period 2, 18 kilos of beef are sold at $1.10 per kilo for a value of $19.80 and 12 kilos of chicken are sold at $2.00 per kilo for a value of $24.00. Total sales of meat are valued at $43.80.
- In this example, it can help to think of the kilos of beef/chicken as the ‘volume’ estimate, and the value as the current price, with the amount per kilo as the price. This exemplifies the key components in estimating volumes.
6.3 Total sales of meat have increased from $40.00 in period 1 to $43.80 in period 2, but what is the growth in volume terms? One way of answering this question is to hold prices constant in the two periods, at say period 1 prices. The total value of sales in period 2 at period 1 prices is $42.00 (18 kilos of beef @ $1.00 plus 12 kilos of chicken @ $2.00). At period 1 prices, the total value of meat sales has increased from $40.00 to $42.00, which is an increase of 5%. This can be expressed algebraically as:
\(\large{\frac{p_{beef}^1 q_{beef}^2+p_{chicken}^1 q_{chicken}^2}{p_{beef}^1 q_{beef}^1+p_{chicken}^1 q_{chicken}^1}=\frac{(1.00×18)+(2.00×12)}{(1.00×20)+(2.00×10) }=\frac{18.00+24.00}{20.00+20.00}=\frac{42.00}{40.00}=1.05}\)
where \(p\) represents the price and \(q\) represents the quantity.
6.4 This expression is called a Laspeyres volume index. The defining feature is that in calculating growth from one period to another, the prices of the earlier period are applied to both periods.
6.5 Another way of estimating the volume growth of meat sales is to hold prices constant at period 2 prices. The value of meat sales in period 1 at period 2 prices is $42.00 (20 kilos of beef @ $1.10 per kilo plus 10 kilos of chicken @ $2.00 per kilo). This gives volume growth of 4.3% between the two periods and can be written algebraically as:
\(\large{\frac{p_{beef}^2 q_{beef}^2+p_{chicken}^2 q_{chicken}^2}{p_{beef}^2 q_{beef}^1+p_{chicken}^2 q_{chicken}^1 }=\frac{(1.10×18)+(2.00×12)}{(1.10×20)+(2.00×10) }=\frac{19.80+24.00}{22.00+20.00}=\frac{43.80}{42.00}=1.043}\)
6.6 This expression is called a Paasche volume index. The defining feature is that in calculating growth from one period to another, the prices of the later period are applied to both periods.
6.7 Both the Laspeyres and Paasche indexes are equally valid for calculating the volume growth of meat sales between period 1 and period 2, yet they give different answers. This suggests that an average of the two may be a better estimate than either of them. Fisher’s Ideal Index hereafter referred to as the Fisher index is the geometric mean of the Laspeyres and Paasche and is considered to be a superior index³³.
6.8 Up until the beginning of the twenty first century, most OECD member countries derived volume estimates of aggregates by holding prices constant in a base year; that is, constant price estimates. In effect, constant price estimates are a sequence of Laspeyres indexes from the base year to the current period multiplied by the current price value in the base year. Over time, price relativities change and when estimating volume growth from one period to another it is best to use prices at or about the current period. Both the 1993 and 2008 SNAs recommend the abandonment of constant price estimates in favour of chain volume estimates. Chain volume estimates are derived by linking together period-to-period indexes, such as Laspeyres, Paasche or Fisher indexes.
6.9 While chain volume estimates are generally superior to constant price estimates in terms of deriving volume growth rates, their use raises a number of issues such as:
- which index formula should be used (Laspeyres, Paasche or Fisher)?
- how frequently should the fixed prices change - quarterly or annually?
- if annually, how should quarterly indexes be derived and how should they be linked together? and
- unlike constant price estimates, chain indexes are not generally additive; how should contributions to growth be derived?
6.10 Annex A to this chapter addresses these issues in detail whilst this chapter outlines how volume estimates are actually derived in the ASNA.
6.11 There are two principal steps in deriving volume estimates of national accounts aggregates:
- the derivation of elemental volume indexes at the most detailed level practicable; and
- the aggregation of the elemental volume indexes to the desired level, such as GDP.
6.12 The chapter addresses the second step first because it is best to consider the nature of the aggregate volume indexes before describing how the elemental indexes are derived.
Terminology
6.13 Before proceeding to discuss the aggregation of volume estimates it is necessary to define some of the key terminology to be used to minimise the risk of confusion.
6.14 The base period for an elemental volume index is the period for which the prices are fixed. Hence a Laspeyres volume index from time 0 to time t can be written as:
\(\large{\frac{q^tp^0}{q^0p^0}}\)
and a constant price estimate can be written as: \(q^tp^0\)
6.15 The Laspeyres volume index is equal to the constant price value for period t divided by the current price value for period 0. When elemental volume indexes are aggregated, the current price values in the base period form the weights for combining the elemental volume indexes. The derivation of elemental volume indexes is discussed later in this chapter.
6.16 The reference period is the period for which an index series is set equal to 100. This is an arbitrary number used in order to compare prices or volumes over time. Where the index is instead represented as a volume measure, the reference period of the series is set equal to the current price value. This allows the volume series to be expressed in terms of currency units.
6.17 For constant price estimates the base period and the reference period coincide. For chain volume indexes there is only one reference period, but there are many base periods chained together.
Endnotes
Chain volume index formulae
6.18 Annual chain volume indexes in the ASNA are derived by compounding successive year-to-year Laspeyres indexes. A Laspeyres volume index from year \(y-1\) to year \(y\) is derived by dividing the value of the aggregate in year y at year \(y-1\) prices (i.e. using the volumes in year \(y\) but the prices of year \(y-1\)) with the current price value in year \(y-1\); that is:
\(\large{L_Q} = \frac{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^y} }}{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^{y - 1}} }},\)
where \(P_i^y\) and \(Q_i^y\) are prices and quantities of the \(i^{th}\) product in year \(y\) and there are \(n\) products.
6.19 Annual chain Laspeyres volume indexes can be formed by multiplying consecutive year-to-year indexes; that is:
\(\large L_Q^y = \frac{{\sum\limits_{i = 1}^n {P_i^0Q_i^1} }}{{\sum\limits_{i = 1}^n {P_i^0Q_i^0} }} \times \frac{{\sum\limits_{i = 1}^n {P_i^1Q_i^2} }}{{\sum\limits_{i = 1}^n {P_i^1Q_i^1} }} \times \frac{{\sum\limits_{i = 1}^n {P_i^2Q_i^3} }}{{\sum\limits_{i = 1}^n {P_i^2Q_i^2} }} \times \ldots \times \frac{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^y} }}{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^{y - 1}} }}\)
6.20 The derivation of quarterly chain Laspeyres volume indexes is in concept no different to compiling annual chain volume indexes. However there is the complication of seasonality to contend with. In the ASNA, annual base years (i.e. annual weights) are used to derive quarterly volume indexes rather than having quarterly base periods. If quarterly base periods were to be used then this should only be done using seasonally adjusted data and not original data.
6.21 Consequently the Laspeyres-type³⁴ volume index from year \(y-1\) to quarter \(c\) in year \(y\) takes the form:
\(\large L_Q^{\left( {y - 1} \right) \to \left( {c,y} \right)} = \frac{{\sum\limits_{i = 1}^n {P_i^{y - 1}4q_i^{c,y}} }}{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^{y - 1}} }} = \sum\limits_{i = 1}^n {\frac{{4q_i^{c,y}}}{{Q_i^{y - 1}}}s_i^{y - 1},} \)
where \(q_i^{c,y}\) , is the volume of product \(i\) in the \(c^{th}\) quarter of year \(y\) and \(s\) is the share (weight) of the \(i^{th}\) item. For more detail see Annex A to this chapter.
Endnotes
Deriving annually linked quarterly Laspeyres-type volume indexes
6.22 There are several ways of linking annually weighted quarterly Laspeyres-type volume indexes. Annex A to this chapter describes the three methods outlined in 2008 SNA, including the one-quarter overlap method which is used in the ASNA.
6.23 After linking, the quarterly chain volume estimates are benchmarked to their annual counterparts. This benchmarking serves two purposes:
- It overcomes the inconsistency arising from the different linking methods required to compile quarterly chain volume estimates versus annual chain volume estimates; and
- It ensures the quarterly chain volume estimates are consistent with the data from the annual S-U tables. The Supply-Use tables are explained in more detail in Chapter 7.
6.24 The one-quarter overlap method involves calculating a link factor using overlap values for a single quarter. To link the four quarters of year \( y-1\) at year \( y-2\) average prices with the four quarters of year \( y\) at year \( y-1\) average prices, a one-quarter overlap can be created for either the fourth quarter of year \(y-1\) or the first quarter of year \( y\). The link factor derived from an overlap for the fourth quarter of year \(y-1\):
\(\large{ = \frac{{\sum\limits_{i = 1}^n {P_i^{y - 1}q_i^{4,\left( {y - 1} \right)}} }}{{\sum\limits_{i = 1}^n {P_i^{y - 2}q_i^{4,\left( {y - 1} \right)}} }}}\)
6.25 Multiplying the quarterly values for year \( y-1\) at year \( y-2\) average prices with this link factor puts them on to a comparable valuation basis with the quarterly estimates for year \( y\) at year \(y-1\) prices.
Price Indexes
6.26 The ABS publishes two types of price index in the national accounts:
- chain Laspeyres price indexes; and
- implicit price deflators (IPDs).
6.27 The quarterly chain Laspeyres price indexes are derived in the same way as the quarterly chain Laspeyres volume indexes, but they are only derived in original terms and are not seasonally adjusted.
6.28 The IPDs are derived by dividing current price values by the corresponding chain volume measures (CVMs). These are only derived using seasonally adjusted data. They are thus seasonally adjusted chain Paasche price indexes.
Introduction of new base years and re-referencing chain volume estimates
6.29 As described above, the ABS derives its annual and quarterly chain volume estimates using the Laspeyres formula with annual base years. With the exception of the latest quarters, quarterly chain volume estimates are derived by linking together estimates derived in the average prices of the previous year. However, the latest five to eight quarters are derived in the average prices of the latest base year, which is the year before the previous year. The reason for this exception is the delay in deriving the annual current price estimates of gross value added by industry, which are needed to form the base year weights for the volume estimates of GDP(P) and its components (See Chapter 9 for more information on Gross Value Added). Even though estimates of final expenditures could be derived in the average prices of the previous year for all years, the ABS has decided to apply the same approach and timing for all its volume estimates.
6.30 It is ABS practice to introduce a new base year with the release of the September quarter accounts. At the same time, the reference year is advanced one year to coincide with the latest base year, thereby ensuring additivity for the latest quarters. The process is best explained with some examples.
6.31 In the June quarter release in year y, the quarterly chain volume estimates are derived by linking:
- the eight quarters from September quarter year \(y-2\) to June quarter year \(y\) in the average prices of financial year \(\frac{y-3}{y-2}\);
- the four quarters from September quarter year \(y-3\) to June quarter year \(y-2\) in the average prices of financial year \(\frac{y-4}{y-3}\); and
- all earlier quarters in the average prices of the previous financial year.
Financial year \(\frac{y-3}{y-2}\) is the reference year.
6.32 In the September quarter release in year y, the quarterly chain volume estimates are derived by linking:
- the five quarters from September quarter year \(y-1\) to September quarter year \(y\) in the average prices of financial year \(\frac{y-2}{y-1}\);
- the four quarters from September quarter year \(y-2\) to June quarter year \(y-1\) in the average prices of financial year \(\frac{y-3}{y-2}\); and
- all earlier quarters in the average prices of the previous financial year.
Financial year \(\frac{y-2}{y-1}\) is the reference year.
6.33 Re-referencing results in revisions to the levels of the chain volume measures, but it does not in itself result in revisions to growth rates, although growth rates can be revised for other reasons. One reason is that the introduction of a new reference year coincides with the introduction of a new base year for the latest four quarters. Another reason is the introduction of revised annual estimates, to which the quarterly estimates are benchmarked.
Contributions to growth
6.34 In the dissemination of quarterly national accounts, contributions to growth play a prominent role - a role that has become more important with the loss of additivity that has accompanied the introduction of chain volume estimates. While the chain volume estimates of the components of an aggregate do not generally add up to the chain volume estimate of the aggregate, it is possible to calculate the contributions of each component to the growth rate of the aggregate. These growth rates are additive, which will be explained below.
6.35 Deriving contributions to growth from additive data, such as constant price estimates, is straightforward. Deriving the contributions to growth of quarterly chain volume estimates is more complex and unlike constant price estimates there is no one formula that can be applied in all cases. Rather, the methods that can be used depend on how the chain volume estimates have been derived, which include:
- the index formula used (e.g. Laspeyres or Fisher);
- annual or quarterly base years;
- method of linking in the case of annual base years;
- the period over which the contributions to growth are calculated (e.g. quarter-to-quarter or quarter on same quarter of previous year); and
- special features of a component (e.g. changes in inventories).
6.36 The method used in the ASNA compromises the additivity of chain Laspeyres volume indexes in the year following the reference year. This phenomenon arises because the chain volume estimates in this year are in effect values in the prices of the previous year.
6.37 The quarterly chain volume estimates of the components and the aggregates in year y-1 and year y are re-referenced to their respective annual current price values in year y-1 by multiplying them by their implicit price deflators for year y-1. This amounts to dividing each time series of quarterly chain volume estimates by the annual value of the chain volume estimates in year y-1 and then multiplying the result by the current price value in year y-1. The resulting quarterly chain volume estimates are additive in year y, and so the contributions to growth for quarters within year y are exactly additive.
6.38 To determine the quarterly contribution to growth of a component of an aggregate, the following calculation occurs:
\(\large Contrib.{\left( {{x_i},X} \right)^{c,y}} = \frac{{P_{{x_i}}^{y - 1}}}{{P_X^{y - 1}}} \times \frac{{\left( {x_{CVi}^{c,y} - x_{CVi}^{c - 1,y}} \right)}}{{X_{CVi}^{c - 1,y}}}\)
where
- \(X_{CV}^{c,y}\) is the chain volume estimate of an aggregate, such as GDP, in the \(c^{th}\) quarter of year \(y\) and \(P_X^{c,y}\) is the corresponding implicit price deflator; and
- \(x_{C{V_i}}^{c,y}\) is the chain volume estimate of the \(i^{th}\) component of the aggregate in the \(c^{th}\) quarter of year \(y\) and \(P_{{x_i}}^{c,y}\) is the corresponding implicit price deflator.
6.39 During the 2012-13 annual compilation cycle, improvements were made to the method by which pre-1985-86 volume components of GDP(E) are calculated. These components were previously constant price estimates, and not 'true' chain volume measures. This break in series dated from the initial introduction of chain volume measures to the set of compilation methods underpinning the Australian national accounts. Chain volume measures were originally only implemented back to 1985-86. Prior year estimates were calculated as backcasts of historic constant price estimates.
6.40 Implementation of chain volume measures for pre-1985-86 estimates of GDP(E) was not carried through the complete aggregation structure, but headline components (consumption, investment and trade) are all now calculated as chain volume measures, as well as GDP(E) itself, back to 1959-60. Owing to difficulties in recalculating change in inventories estimates in chain volume terms prior to 1985-86, this component is calculated residually for this part of the time series. The result is that percentage point contributions to chain volume GDP(E) growth are now additive for the full time series. Additionally, real income measures such as real gross domestic income (RGDI) are now fully consistent with the terms of trade series across the full time series.
Effects of benchmarking
6.41 As described earlier, the ABS benchmarks its quarterly chain volume estimates to their annual counterparts. Prior to benchmarking, quarterly estimates in the prices of the previous year are additive, but after benchmarking and re-referencing they are usually not quite additive. This phenomenon arises because each quarterly chain volume series is independently benchmarked to its annual counterpart and the adjustments made to the quarterly estimates of the components are unlikely to be exactly consistent with the adjustments made to the aggregate. Contributions to growth are also unlikely to be perfectly additive after benchmarking, however they can be expected to be sufficiently close to being additive for practical purposes.
Data that are not strictly positive
6.42 The above method cannot be applied to data that are not strictly positive because meaningful implicit price deflators cannot be derived for them, and so the contributions to growth of such variables are derived residually by taking advantage of the fact that quarter-to-quarter contributions to growth are additive (or nearly so). For example, the contribution to growth in GDP of changes in inventories is derived as the difference between the contribution of gross capital formation and the contribution of gross fixed capital formation.
Deriving elemental volume estimates
6.43 Chain volume estimates are derived by aggregating volume estimates of components at the elemental level; that is, the lowest level at which volume estimates are derived. The level of detail of each element that is aggregated is dependent on the availability of appropriate and high-quality current price and price index or quantity information. The following describes the two basic approaches taken to derive elemental volume estimates, quantity revaluation and price deflation.
Quality revaluation
6.44 The first approach uses quantity data to derive constant price estimates (tonnes, litres, etc.). For an individual product, the estimate of quantity in each period is multiplied by the price per unit of volume (or average unit value) in some base year. This method, referred to as quantity revaluation, can only be applied to produce estimates of reasonable quality if the product is defined narrowly enough to ensure that it is homogeneous in content and free from quality change over time (since a change in quality is defined as a change in volumes rather than as a change in price). Quantity revaluation is at times the preferred approach to obtain a volume estimate, if there is no directly observable market price for a good or service.
Price deflation
6.45 The second approach to obtaining volume estimates is referred to as price deflation. A measure of the price component of the current price value is obtained (usually in the form of a price index) and is divided into the current price value in order to re-value it in the prices of the previous year. This also allows for the price effect to be isolated from the volume effect – as both price and volume are implicit in a current price value.
6.46 Price deflation is the most commonly used method, largely because most macroeconomic statistics are available only as dollar values, and the very detailed quantity data required for quantity revaluation are unavailable. However, there are also advantages in using price deflation in circumstances where it may be possible to employ either approach. Relative price movements are normally more highly correlated between products and between industries than are relative quantity movements. Therefore, an adequate indicator of price movement can generally be obtained with less data than are required to obtain an equally adequate indicator of quantity movement. There are two other main advantages in using price deflation as opposed to quantity revaluation:
- in compiling price indexes, specific attention can be given more readily to excluding changes that are attributable to quality change; hence, ensuring that any quality changes that do occur are automatically reflected as volume changes; and
- if directly relevant price or quantity data are not available to isolate the price and volume effect from a current price value, then the proxy price movements of related products will usually be more accurate indicators than proxy quantity movements.
6.47 In compiling its price indexes, the ABS ensures that as far as practicable they reflect 'pure' price change. When a change in specification of a good or service occurs, any change in price attributable to the change in specification is isolated and excluded where possible. By isolating the ‘pure’ price change in this way, when the price index is applied to a current price value to derive a volume, the volume will reflect both quality and quantity changes. To the extent that this is achieved, the resulting volume estimates reflect improvements (or degradations) in products. For details of how the ABS deals with specification changes in compiling its price indexes, refer to Consumer Price Index: Concepts, Sources and Methods.
6.48 In many cases, the deflator is a fixed-weighted (i.e. the weights used to combine the constituent price indexes are not changed frequently) combination of lower level price indexes. In those cases where both the price and quantity relativities of the constituents of a current price value to be deflated are changing quickly, it is important to construct chain price indexes that are re-weighted frequently. In those cases where price and quantity relativities are not changing rapidly, reweighting is undertaken less frequently. In any case, the ABS aims to deflate at the most disaggregated level practicable.
6.49 Where current price figures are only available at quite an aggregate level, but more detailed prices are available for components, then it is preferable to attempt a disaggregation of the total and deflate the components with the separate price series, rather than deflating at the level of the total using a fixed-weighted deflator. This is to ensure that the detailed level data are built up to their aggregate counterparts, to allow for in-depth and pointed information about products or services to be included in the broader estimates to which they are relevant. A variation on this approach is to use a model to decompose the current price aggregate, deflate the components and then create a Paasche price index from the aggregate current price and volume data. This method is used to deflate quarterly current price estimates of gross fixed capital formation (GFCF) of equipment, which are only available at an aggregate level. A product-flow model is created by using information from the latest annual S-U tables to weight together current quarter manufacturing output and foreign trade data to produce estimates of GFCF of equipment by detailed category. These are deflated using appropriate price indexes and then aggregated and divided into the corresponding current price aggregate to produce a Paasche price index for GFCF of equipment.
6.50 As far as possible the price indexes used for deflation should be on the same valuation basis as the current price data: for example, at basic prices for outputs and purchasers’ prices for final and intermediate expenditures. If a price index with an inappropriate valuation has to be used, then the ABS’s national accounts compilers must ensure that suitable adjustments are made if an event occurs that invalidates the assumption that the price index is a suitable proxy.
Quarterly chain volume estimates of gross value added
6.51 Annual estimates of gross value added by industry are derived in the prices of the previous year by subtracting volume estimates of intermediate consumption from volume estimates of output. This is commonly referred to as double deflation. For quarterly figures, however, in the absence of accurate data for both output and intermediate consumption, double deflation is not generally recommended unless it is applied in quarterly balanced S-U tables. The principal alternative is to extrapolate value added in the base year at a detailed level by indicator series which are deemed to represent the volume movement of value added, such as a volume indicator of output. This is the approach adopted by the ABS for most industries. The exceptions are agriculture and those industries dominated by non-market production.
6.52 Because of substantial variations in the weather from one year to the next the relationship between agricultural outputs and inputs is erratic, and there is little option but to use double deflation to derive quarterly volume estimates of gross value added for agriculture.
6.53 In the case of industries dominated by non-market production, such as public administration and defence, volume estimates of gross value added are assumed to grow at the same rate as an indicator of inputs.
Seasonally adjusted chain-linked volume estimates
6.54 The compilation of seasonally (and calendar) adjusted quarterly chain-linked volume measures is the result of a sequence of operations, including seasonal and calendar adjustment, partial balancing, chain-linking and benchmarking. It is somewhat more complicated than deriving chain-linked original estimates because some of these steps need to be undertaken on unlinked data (partial balancing) and some need to be undertaken on chain-linked data (benchmarking, and seasonal and calendar factor estimation). The objective is to achieve the following for the seasonally adjusted chain linked data:
- they should be of sufficiently high quality, with no residual seasonality and no over-adjustment (the seasonal component should not contain irregular influences);
- when expressed in the average prices of the previous year they should be additively consistent, preferably with no statistical discrepancies; and
- they should be temporally consistent with the same annual chain volume benchmarks used for the original data.³⁵
6.55 The following paragraph describes the steps taken in deriving seasonally adjusted, partially balanced and benchmarked, chain-linked quarterly Australian national accounts data:
- Seasonally analyse each chain-linked quarterly national account series at the lowest level of aggregation at which seasonal adjustment is undertaken to derive seasonal and calendar adjustment factors.
- Derive seasonally adjusted estimates in the average prices of the previous year. If the multiplicative model is used, then the factors can be applied directly to original data in the prices of the previous year (see Chapter 7 for detail on the multiplicative model). If any other model is used the seasonally adjusted chain-linked series needs to be unlinked.
-
Aggregate the data to derive seasonally adjusted estimates in the average prices of the previous year for all major aggregates.
-
Partially balance the accounts in a S-U framework.
-
Chain link the estimates.
-
Benchmark the chain-linked, seasonally adjusted volume estimates to the corresponding annual data.
-
Run all the benchmarked series through the seasonal adjustment diagnostics to check for residual seasonality or any other problems. If there are any, go back to step 1 and recalculate the seasonal factors using the balanced and benchmarked original data.
Endnotes
The compilation of current price and chain volume estimates
6.56 There are three approaches to deriving estimates of GDP: the income approach (GDP(I)); the expenditure approach (GDP(E)); and the production approach (GDP(P)). It is possible to derive volume measures of GDP using the last two approaches, but it is not possible to derive a volume measure of GDP by summing volume estimates of its income components. The reason is that some of the income components of GDP either do not have price and quantity dimensions in the usual sense (e.g. gross operating surplus) or they do not have unique price and quantity dimensions (e.g. wages, for which the price and quantity characteristics differ according to whether they are viewed from the perspective of an employer or of an employee). However, it is possible to derive a volume measure of GDP(I) by dividing the current price estimate of GDP(I) by the implicit price deflator of GDP(E).
6.57 From 1995-96, annual volume estimates of expenditure and production are compiled in the prices of the previous year in a S-U framework. Volume estimates of the supply of products by each Australian industry and imports are confronted and balanced with volume estimates of products used by Australian industries, final domestic expenditures, changes in inventories and exports. The balance between supply and use for each product category ensures that the volume measure of GDP in the prices of the previous year is the same whether it is derived by summing final expenditures and changes in inventories plus exports less imports or by summing the gross value added of each industry and taxes less subsidies on products. In other words, the expenditure and production volume estimates of GDP are identical. The estimates in the prices of the previous year are divided by comparable current price estimates for the previous year to derive year-to-year Laspeyres volume indexes. These are chained to form annual chain volume estimates.
6.58 From 1994-95, annual current price estimates of income, expenditure and production are compiled in a S-U framework in parallel with the volume estimates, so that the annual current price and volume estimates of GDP using the income, expenditure and production approaches are identical from 1994-95 for all but the latest year.
6.59 For current price and volume estimates prior to 1994-95, and for quarterly estimates for all years, the estimates using each approach are only partially balanced, and there are usually differences between the I, E and P estimates. Nevertheless, for these periods, a single estimate of GDP is compiled. In chain volume terms, GDP is derived by averaging the chain volume estimates obtained from each of the three independent approaches. The current price estimate of GDP is obtained by reflating the average chain volume estimate by the implicit price deflator derived from GDP(E).
Annex A Deriving chain volume indexes
6A.1 The following provides a detailed description of the various chain volume measures and the issues associated with using them
Different index formulae
6A.2 The general formula for a Laspeyres volume index from year \(y-1\) to year \(y\) is given by:
\(\large {L_Q} = \frac{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^y} }}{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^{y - 1}} }},\) - - - - - - - (1)
where \(P_i^y\) and \(Q_i^y\) are prices and quantities of the \(i^{th}\) product in year \(y\) and there are \(n\) products. The denominator is the current price value of the aggregate in year \(y-1\) and the numerator is the value of the aggregate in year \(y\) at year \(y-1\) average prices.
6A.3 A Paasche volume index from year \(y-1\) to year \(y\) is defined as:
\(\large {P_Q} = \frac{{\sum\limits_{i = 1}^n {P_i^yQ_i^y} }}{{\sum\limits_{i = 1}^n {P_i^yQ_i^{y - 1}} }},\) - - - - - - - (2)
6A.4 A Fisher index is derived as the geometric mean of a Laspeyres and Paasche index:
\(\large {F_Q} = {\left( {{L_Q}{P_Q}} \right)^{1/2}}\) - - - - - - - (3)
6A.5 A Paasche price index from year \(y-1\) to year \(y\) is defined as:
\(\large {P_P} = \frac{{\sum\limits_{i = 1}^n {P_i^yQ_i^y} }}{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^y} }},\) - - - - - - - (4)
6A.6 When this Paasche price index is divided into the current price index from year \(y-1\) to year \(y\) a Laspeyres volume index is produced:
\(\large \frac{{\sum\limits_{i = 1}^n {P_i^yQ_i^y} }}{{\frac{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^{y - 1}} }}{{{P_P}}}}} = \frac{{\frac{{\sum\limits_{i = 1}^n {P_i^yQ_i^y} }}{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^{y - 1}} }}}}{{\frac{{\sum\limits_{i = 1}^n {P_i^yQ_i^y} }}{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^y} }}}} = \frac{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^y} }}{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^{y-1}} }} = {L_Q}\) - - - - - - - (5)
6A.7 Evidently, Laspeyres volume indexes and Paasche price indexes complement each other, and vice versa
Sales of beef and chicken | |||||
---|---|---|---|---|---|
Quantity (kilos) | Year 1 | Year 2 | Year 3 | Year 4 | |
Beef | 20 | 18 | 16 | 17 | |
Chicken | 10 | 12 | 14 | 17 | |
Price per kilo ($) | |||||
Beef | 1.00 | 1.10 | 1.20 | 1.30 | |
Chicken | 2.00 | 2.00 | 2.10 | 2.15 | |
Value ($) | |||||
Beef | 20.00 | 19.80 | 19.20 | 22.10 | |
Chicken | 20.00 | 24.00 | 29.40 | 36.55 | |
Total | 40.00 | 43.80 | 48.60 | 58.65 | |
Laspeyres volume index: year 1 to year 2 using year 1 prices | |||||
Values at year 1 prices ($) | |||||
Year 1 | Year 2 | Volume index | Growth rate | ||
Beef | 20.00 | 18.00 | 0.900 | -10.0% | |
Chicken | 20.00 | 24.00 | 1.200 | 20.0% | |
Total | 40.00 | 42.00 | 1.050 | 5.0% | |
Laspeyres volume index: year 2 to year 3 using year 2 prices | |||||
Values at year 2 prices ($) | |||||
Year 2 | Year 3 | Volume index | Growth rate | ||
Beef | 19.80 | 17.60 | 0.889 | -11.1% | |
Chicken | 24.00 | 28.00 | 1.167 | 16.7% | |
Total | 43.80 | 45.60 | 1.041 | 4.1% | |
Laspeyres volume index: year 3 to year 4 using year 3 prices | |||||
Values at year 3 prices ($) | |||||
Year 3 | Year 4 | Volume index | Growth rate | ||
Beef | 19.20 | 20.40 | 1.063 | 6.3% | |
Chicken | 29.40 | 35.70 | 1.214 | 21.4% | |
Total | 48.60 | 56.10 | 1.154 | 15.4% | |
Paasche volume index: year 1 to year 2 using year 2 prices | |||||
Values at year 2 prices ($) | |||||
Year 1 | Year 2 | Volume index | Growth rate | ||
Beef | 22.00 | 19.80 | 0.090 | -10.0% | |
Chicken | 20.00 | 24.00 | 1.200 | 20.0% | |
Total | 42.00 | 43.80 | 1.043 | 4.3% | |
Paasche volume index: year 2 to year 3 using year 3 prices | |||||
Values at year 3 prices ($) | |||||
Year 2 | Year 3 | Volume index | Growth rate | ||
Beef | 21.60 | 19.20 | 0.089 | -11.1% | |
Chicken | 25.20 | 29.40 | 1.167 | 16.7% | |
Total | 46.80 | 48.60 | 1.038 | 3.8% | |
Paasche volume index: year 3 to year 4 using year 4 prices | |||||
Values at year 4 prices ($) | |||||
Year 3 | Year 4 | Volume index | Growth rate | ||
Beef | 20.80 | 22.10 | 1.063 | 6.3% | |
Chicken | 30.10 | 36.55 | 1.214 | 21.4% | |
Total | 50.90 | 58.65 | 1.152 | 15.2% | |
Comparisons of the volume indexes | |||||
Year 1 to 2 | Year 2 to 3 | Year 3 to 4 | |||
Laspeyres | 1.050 | 1.041 | 1.154 | ||
Paasche | 1.043 | 1.038 | 1.152 | ||
Fisher | 1.046 | 1.040 | 1.153 |
6A.8 The following table provides an example of deriving Laspeyres volume indexes by deflation.
Sales of beef and chicken | |||||
---|---|---|---|---|---|
Paasche price index: year 1 to year 2 using year 2 quantities | |||||
Values at year 2 quantiles ($) | |||||
Year 1 | Year 2 | Price index | Growth rate | ||
Beef | 18.00 | 19.80 | 1.100 | 10.0% | |
Chicken | 24.00 | 24.00 | 1.000 | 0.0% | |
Total | 42.00 | 43.80 | 1.043 | 43.0% | |
Paasche price index: year 2 to year 3 using year 3 quantities | |||||
Values at year 3 quantiles ($) | |||||
Year 2 | Year 3 | Price index | Growth rate | ||
Beef | 17.60 | 19.20 | 1.091 | 9.1% | |
Chicken | 28.00 | 29.40 | 1.050 | 5.0% | |
Total | 45.60 | 48.60 | 1.066 | 6.6% | |
Paasche price index: year 3 to year 4 using year 4 quantities | |||||
Values at year 4 quantiles ($) | |||||
Year 2 | Year 3 | Price index | Growth rate | ||
Beef | 20.40 | 22.10 | 1.083 | 8.3% | |
Chicken | 35.70 | 36.55 | 1.024 | 2.4% | |
Total | 56.10 | 58.65 | 1.045 | 4.5% | |
Laspeyres volume indexes derived by deflation | |||||
Year 1 to 2 | Year 2 to 3 | Year 3 to 4 | |||
Value index | 1.095 | 1.110 | 1.207 | ||
Paasche price index | 1.043 | 1.066 | 1.045 | ||
Laspeyres volume index | 1.050 | 1.041 | 1.154 |
Chain volume indexes
6A.9 Annual chain Laspeyres and Paasche volume indexes can be formed by multiplying consecutive year-to-year indexes:
\(\large L_Q^y = \frac{{\sum\limits_{i = 1}^n {P_i^0Q_i^1} }}{{\sum\limits_{i = 1}^n {P_i^0Q_i^0} }} \times \frac{{\sum\limits_{i = 1}^n {P_i^1Q_i^2} }}{{\sum\limits_{i = 1}^n {P_i^1Q_i^1} }} \times \frac{{\sum\limits_{i = 1}^n {P_i^2Q_i^3} }}{{\sum\limits_{i = 1}^n {P_i^2Q_i^2} }} \times ..... \times \frac{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^y} }}{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^{y - 1}} }}\) - - - - - - - (6)
\(\large P_Q^y = \frac{{\sum\limits_{i = 1}^n {P_i^1Q_i^1} }}{{\sum\limits_{i = 1}^n {P_i^1Q_i^0} }} \times \frac{{\sum\limits_{i = 1}^n {P_i^2Q_i^2} }}{{\sum\limits_{i = 1}^n {P_i^2Q_i^1} }} \times \frac{{\sum\limits_{i = 1}^n {P_i^3Q_i^3} }}{{\sum\limits_{i = 1}^n {P_i^3Q_i^2} }} \times ..... \times \frac{{\sum\limits_{i = 1}^n {P_i^yQ_i^y} }}{{\sum\limits_{i = 1}^n {P_i^yQ_i^{y - 1}} }},\) - - - - - - - (7)
6A.10 Chain Fisher indexes can be derived by taking their geometric mean:
\(\large F_Q^y = {\left( {L_Q^yP_Q^y} \right)^{1/2}}\) - - - - - - - (8)
6A.11 All of these indexes can be re-referenced by dividing them by the index value in the chosen reference year and multiplying by 100 to produce an indexed series, or by multiplying by the current price value in the reference year to obtain a series in monetary values.
The case for using chain indexes
6A.12 Frequent linking is beneficial when price and volume relativities progressively change. For example, volume estimates of gross fixed capital formation are much better derived as chain indexes than as fixed-weighted indexes (i.e. constant price estimates) mainly because of the steady decline in the relative prices of computer equipment and the corresponding increase in their relative volumes. While chain Fisher indexes perform best in such circumstances and are a much better indicator than fixed-weighted indexes, chain Laspeyres indexes capture much of the improvement from frequent linking.
6A.13 Conversely, frequent chaining is least beneficial when price and volume relativities are volatile. All chained series are subject to drift (see box below) when there is price and volume instability, but chain Fisher indexes usually drift less than either chain Laspeyres or chain Paasche indexes.
Drift and long-term accuracy
Suppose the prices and quantities are \(p_i^t\) and \(q_i^t\) at time t and \(p_i^{t+n}\) \(n\) periods later at time \(t+n\).
Further suppose that the price in year \(t+n\) \((𝑝^{𝑡+𝑛})\) returns to the same level that it was in year \(t (𝑝𝑡) \)after having diverged from \(𝑝𝑡\) during the intervening years (\(𝑡^2\) to \(𝑡^{𝑛−1}\)). Similarly, the quantity in year \(t+ n\) (\(𝑞^{𝑡=𝑛}\)) also returns to its original level (\(𝑞^𝑡\)) after having diverged between those years. Direct Laspeyres, Paasche and Fisher volume indexes from year \(t\) to year \(t+ n\) would equal 1.
However, it is unlikely that the values of a chain volume index would be identical in these years because of the cumulative effects of changes in the prices and volumes during the intervening years. The extent of the difference (usually expressed as the quotient of the two values) is a measure of the “drift” in the chain volume index between the two time periods.
In reality it is very uncommon for prices and volumes to return to the values observed in an earlier period. Therefore, in practice, the drift and long-term accuracy of a chain or fixed-weighted index can be assessed over a period of time by comparing it with a direct Fisher index; that is, a Fisher index calculated directly from the first to the last observation in a period.
6A.14 Table A.3 below compares the chain Laspeyres, chain Paasche and chain Fisher indexes of meat sales. It shows that in this example:
- the chain Fisher index and the Fisher index calculated directly from the first year to the fourth year show almost the same growth rate over the four year period; that is, the chain Fisher index shows very little drift; and
- both the chain Laspeyres and chain Paasche indexes come much closer to the two Fisher indexes than their fixed-weighted counterparts.
6A.15 It is important to note that this is just an example. In the real world, the differences between the different indexes are usually much less.
6A.16 For aggregates such as gross value added of mining and agriculture, and maybe exports and imports, where volatility in price and volume relativities are common, the advantages of frequent linking may be doubtful, particularly using the Laspeyres (or Paasche) formula. For reasons of practicality and consistency, the same approach to volume aggregation has to be followed throughout the accounts. So when choosing which formula to use, it is necessary to make an overall assessment of drift, accuracy and practical matters.
6A.17 In considering the benefits of chain volume indexes against fixed-weighted indexes, the 2008 SNA concludes that:
. . . it is generally recommended that annual indexes be chained. The price and volume components of monthly and quarterly data are usually subject to much greater variation than their annual counterparts due to seasonality and short-term irregularities. Therefore, the advantages of chaining at these higher frequencies are less and chaining should definitely not be applied to seasonal data that are not adjusted for seasonal fluctuations.³⁶
Laspeyres | Passche | Fisher | ||||||
---|---|---|---|---|---|---|---|---|
Chain volume indexes | ||||||||
\(\large L_{CV}^1\) | = 100.0 | = 100.0 | \(\large P_{CV}^1\) | = 100.0 | = 100.0 | \(\large F_{CV}^1\) | = 100.0 | = 100.0 |
\(\large L_{CV}^2\) | = 100.0 X 1.050 | = 105.0 | \(\large P_{CV}^2\) | = 100.0 X 1.043 | = 104.3 | \(\large F_{CV}^2\) | \({\left( {105.0 \times 104.3} \right)^{0.5}}\) | = 104.6 |
\(\large L_{CV}^3\) | = 105.0 X 1.041 | = 109.3 | \(\large P_{CV}^3\) | = 104.3 X 1.038 | = 108.3 | \(\large F_{CV}^3\) | \({\left( {109.3 \times 108.3} \right)^{0.5}}\) | = 108.8 |
\(\large L_{CV}^4\) | = 109.3 X 1.154 | = 126.2 | \(\large P_{CV}^4\) | = 108.3 X 1.152 | = 124.8 | \(\large F_{CV}^4\) | \({\left( {126.2 \times 124.8} \right)^{0.5}}\) | = 125.5 |
Direct volume indexes | ||||||||
\(\large L_{DV}^4\) | \(\large \frac{{17 \times 1.00 + 17 \times 2.00}}{{40.00}}\) | = 127.5 | \(\large P_{DV}^4\) | \(\large \frac{{58.65}}{{20 \times 1.30 + 10 \times 2.15}}\) | = 123.5 | \(\large F_{DV}^4\) | \({\left( {127.5 \times 123.5} \right)^{0.5}}\) | = 125.5 |
Deriving annual chain volume indexes in the national accounts
6A.18 It is recommended in the 2008 SNA that the annual national accounts should be balanced in both current prices and in volume terms using S-U tables. In most cases, the volume estimates are best derived in the average prices of the previous year rather than some distant base year. This is for two key reasons:
- assumptions of fixed relationships in volume terms are usually more likely to hold in the previous year’s average prices than in the prices of some distant base year: and;
- so that the growth rates of volumes and prices are less affected by compositional change.
6A.19 The compilation of annual S-U tables in current prices and in the average prices of the previous year lends itself to the compilation of annual Laspeyres indexes and to the formation of annual chain Laspeyres indexes.
6A.20 In order to compute annual Fisher indexes from data balanced in a S-U table, it is conceptually desirable to derive both Laspeyres and Paasche indexes from that data. The former requires balancing the S-U tables of the current year \((y)\) in current prices \((y)\) and in the average prices of the previous year \((y-1)\) and the latter requires balancing S-U tables in the previous year \((y-1)\) in the average prices of that year \((y-1)\) and in the average prices of the current year \((y)\). Thus, the compilation of annual chain Fisher indexes, at least in concept, is somewhat more demanding than compiling annual chain Laspeyres indexes.
Deriving quarterly chain indexes in the national accounts
6A.21 Computationally, the derivation of quarterly chain indexes from quarterly data with quarterly base periods is no different to compiling annual chain indexes from annual data with annual base periods. As recommended by the 2008 SNA, if quarterly volume indexes are to have quarterly base periods and be linked each quarter, then it should only be done using seasonally adjusted data. Furthermore, if the quarterly seasonally adjusted data are subject to substantial volatility in relative prices and relative volumes, then chain indexes should not be formed from indexes with quarterly base periods at all. Even if the quarterly volatility is not so severe, quarterly base periods and quarterly linking are not recommended using the Laspeyres formula because of its greater susceptibility to drift than the Fisher formula.
6A.22 A way round this problem is to derive quarterly volume indexes from a year to quarters. In other words, use annual base years (i.e. annual weights) to derive quarterly volume indexes. Consider the Laspeyres annual volume index in formula 1. It can be expressed as a weighted average of elemental volume indexes:
\(\large {L_Q} = \frac{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^y} }}{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^{y - 1}} }} = \sum\limits_{i = 1}^n {\left( {\frac{{Q_i^y}}{{Q_i^{y - 1}}}} \right)} s_i^{y - 1},\;where\;s_i^{y - 1} = \frac{{P_i^{y - 1}Q_i^{y - 1}}}{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^{y - 1}} }}\) - - - - - - - (9)
\(s_i^{y - 1}\) is the share, or weight, of the \(i^{th}\) item in year \(y-1\).
6A.23 Paasche volume indexes can also be expressed in terms of a weighted average of the elemental volume indexes, but as the harmonic, rather than arithmetic, mean.
6A.24 A Laspeyres-type³⁷ volume index from year \(y-1\) to quarter \(c\) in year \(y\) takes the form:
\(\large L_Q^{(y - 1) \to (c,y)} = \frac{{\sum\limits_{i = 1}^n {P_i^{y - 1}4q_i^{c,y}} }}{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^{y - 1}} }} = \sum\limits_{i = 1}^n {\frac{{4q_i^{c,y}}}{{Q_i^{y - 1}}}} s_i^{y - 1},\) - - - - - - - (10)
where \({q_i^{c,y}}\) is the volume of product \(i\) in the \(c^{th}\) quarter of year \(y\). In this case the annual current price data in year \(y-1\) are used to weight together elemental volume indexes from year \(y-1\) to each of the quarters in year \(y\). The “4” in formula 10 is to put the quarterly data onto a comparable basis with the annual data. Note that constant price (or fixed-weighted) volume indexes are traditionally formed in this way, but the weights are kept constant for many years.
6A.25 2008 SNA describes how chain Fisher-type indexes of quarterly data with annual base periods can be derived:
"Just as it is possible to derive annually chained Laspeyres-type quarterly indices, so it is possible to derive annually chained Fisher-type quarterly indices. For each pair of consecutive years, Laspeyres-type and Paasche-type quarterly indices are constructed for the last two quarters of the first year, year \(y-1\) and the first two quarters of the second year, year \(y\). The Paasche-type quarterly indices are constructed as backward-looking Laspeyres-type quarterly indices and then inverted. This is done to ensure that the Fisher-type quarterly indices are derived symmetrically. In the forward-looking Laspeyres-type indices the annual value shares relate to the first of the two years, whereas in the backward-looking Laspeyres-type indices the annual value shares relate to the second of the two years.
For each of the four quarters a Fisher-type index is derived as the geometric mean of the corresponding Laspeyres-type and Paasche-type indices. Consecutive spans of four quarters can then be linked using the one-quarter overlap technique. The resulting annually chained Fisher-type quarterly indices need to be benchmarked to annual chain Fisher indices to achieve consistency with the annual estimates."³⁸
Choosing between chain Laspeyres and chain Fisher indexes
6A.26 There are several advantages in using the Laspeyres formula:
- its adoption is consistent with compiling additive S-U tables in both current prices and in the prices of the previous year;
- quarterly chain volume estimates of both seasonally adjusted and unadjusted data can be derived;
- it is unnecessary to seasonally adjust volume data at the most detailed level, if desired; and
- it is simpler and lower risk to construct chain Laspeyres indexes than Fisher indexes.
6A.27 The advantages of using the Fisher formula are:
- it is more accurate than the Laspeyres formula; and
- it is more robust and less susceptible to drift when price and volume relativities are volatile.
6A.28 In practice, it is generally found that there is little difference between chain Laspeyres and Fisher indexes for most aggregates. The major threat to the efficacy of the use of the Laspeyres formula in the National Accounts has been computer equipment. The prices of computer equipment relative to improvements in quality have been falling rapidly and the volumes of production and expenditure have been rising rapidly for many years. Consequently, the chain Laspeyres and chain Fisher indexes for aggregates for which computer equipment is a significant component are likely to show differences. Until now, these differences have been insufficient to cause concern and have not been considered to outweigh the advantages of using the Laspeyres formula. This is largely due to the fact that a country such as Australia does not produce a large volume of computers domestically, and as such GDP is unaffected.
6A.29 There is one other reason why the ABS has chosen to derive chain volume estimates using the Laspeyres formula. A requirement of using quarterly base periods is the availability of quarterly current price data (see formula 9). While there are quarterly current price estimates of final expenditures in the ASNA, there are no quarterly current price estimates of gross value added by industry at the moment. Hence, it is currently not possible to derive chain volume estimates with quarterly base periods for the production measure of GDP.
Deriving annually-linked quarterly Laspeyres-type volume indexes
6A.30 While there are different ways of linking annual Laspeyres volume indexes, they all produce the same result. But this is not true when it comes to linking annual-to-quarter Laspeyres-type volume indexes for consecutive years. Paragraphs 15.46 -15.50 of the 2008 SNA discuss three methods for linking these Laspeyres-type volume indexes; they are:
- Annual overlap;
- One-quarter overlap: and
- Over the year.
6A.31 When a Laspeyres-type quarterly volume index from year \(y-1\) to quarter \(c\) in year \(y\) is multiplied by the current price value for year \(y-1\) divided by four, then a value for quarter \(c\) is obtained in the average prices of year \(y-1\).
\(\large \sum\limits_{i = 1}^n {\frac{{4q_i^{c,y}}}{{Q_i^{y - 1}}}} s_i^{y - 1}\frac{1}{4}\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^{y - 1}} = \sum\limits_{i = 1}^n {\frac{{4q_i^{c,y}}}{{Q_i^{y - 1}}}} \frac{{P_i^{y - 1}Q_i^{y - 1}}}{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^{y - 1}} }}\frac{1}{4}\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^{y - 1}} = \sum\limits_{i = 1}^n {q_i^{c,y}P_i^{y - 1}} \) - - - - - - - (11)
6A.32 Hence, the task of linking quarterly Laspeyres-type volume indexes for two consecutive years, year \(y-1\) and year \(y\), amounts to linking the quarterly values of year \(y-1\) in year \(y-2\) average prices with the values of year \(y\) in year \(y-1\) average prices.
Annual overlap method
6A.33 One way of putting the eight quarters described in the previous paragraph onto a comparable valuation basis is to calculate and apply a link factor from an annual overlap. Values for year \(y-1\) are derived in both \(y-1\) prices and \(y-2\) prices and then the former is divided by the latter; thus, giving an annual link factor for year \(y-1\) to year \(y\) is equal to:
\(\large \frac{{\sum\limits_{i = 1}^n {P_i^{y - 1}Q_i^{y - 1}} }}{{\sum\limits_{i = 1}^n {P_i^{y - 2}Q_i^{y - 1}} }}\) - - - - - - - (12)
6A.34 Multiplying the quarterly values for year \(y-1\) at year \(y-2\) average prices with this link factor puts them on to a comparable valuation basis with the quarterly estimates for year \(y\) at year \(y-1\) prices. Note that this link factor is identical to the one that can be used to link the annual value for year \(y-1\) at \(y-2\) average prices with the annual value for year \(y\) at year \(y-1\) average prices. Therefore, if the quarterly values for every year \(m\) at year \(m1\) average prices sum to the corresponding annual value, then the chain-linked quarterly series will be temporally consistent with the corresponding chain-linked annual series.
One-quarter overlap method
6A.35 The one-quarter overlap method, as its name suggests, involves calculating a link factor using overlap values for a single quarter. To link the four quarters of year \(y-1\) at year \(y-2\) average prices with the four quarters of year \(y\) at year \(y-1\) average prices, a one-quarter overlap can be created for either the fourth quarter of year \(y-1\) or the first quarter of year \(y\). The link factor derived from an overlap for the fourth quarter of year \(y-1\) is equal to:
\(\large \frac{{\sum\limits_{i = 1}^n {P_i^{y - 1}q_i^{4,(y - 1)}} }}{{\sum\limits_{i = 1}^n {P_i^{y - 2}q_i^{4,(y - 1)}} }}\) - - - - - - - (13)
6A.36 Multiplying the quarterly values for year \(y-1\) at year \(y-2\) average prices with this link factor puts them on to a comparable valuation basis with the quarterly estimates for year \(y\) at year \(y-1\) prices.
6A.37 A key property of the one-quarter overlap method is that it preserves the quarter-to-quarter growth rate between the fourth quarter of year \(y-1\) and the first quarter of year \(y\) - unlike the annual overlap method. The “damage” done to that growth rate by the annual overlap method is determined by the difference between the annual and quarter link factors. Conversely, this difference also means that the sum of the linked quarterly values in year \(y-1\) differ from the annual-linked data by the ratio of the two link factors. Temporal consistency can be achieved by benchmarking the quarterly chain volume estimates to their annual counterparts.
6A.38 The following table illustrates the methods used to deriving link factors
Sales of beef and chicken | |
---|---|
Annual overlap method | |
Year 2 to Year 3 | Year 3 to Year 4 |
\(\Large \frac{{\sum\limits_{i = 1}^2 {P_i^2Q_i^2} }}{{\sum\limits_{i = 1}^2 {P_i^1Q_i^2} }}\) | \(\Large \frac{{\sum\limits_{i = 1}^2 {P_i^3Q_i^3} }}{{\sum\limits_{i = 1}^2 {P_i^2Q_i^3} }}\) |
\(\Large \frac{{(1.1x18) + (2x12)}}{{(1x18) + (2x12)}} = 1.043\) | \(\frac{{(1.2x16) + (2.1x14)}}{{(1.1x16) + (2x14)}} = 1.066\) |
One-quarter overlap method | |
Quarter 4 in Year 2 | Quarter 4 in Year 3 |
\(\Large \frac{{\sum\limits_{i = 1}^2 {P_i^2q_i^{4,2}} }}{{\sum\limits_{i = 1}^2 {P_i^1q_i^{4,2}} }}\) | \(\Large \frac{{\sum\limits_{i = 1}^2 {P_i^3q_i^{4,3}} }}{{\sum\limits_{i = 1}^2 {P_i^2q_i^{4,3}} }}\) |
\(\Large \frac{{(1.1x6) + (2.0x3)}}{{(1.0x6) + (2.0x3)}} = 1.05\) | \(\Large \frac{{(1.2x4) + (2.1x3)}}{{(1.1x4) + (2.0x3)}} = 1.0673\) |
Over the year method
6A.39 The over-the-year method requires compiling a separate link factor for each type of quarter. Each of the quarterly values in year \(y-1\) at year \(y-2\) average prices is multiplied by its own link factor. The over-the-year quarterly link factor for year \(y-1\) at average year \(y-2\) prices to year y at average year \(y-1\) prices for quarter c is equal to:
\(\large \frac{{\sum\limits_{i = 1}^n {P_i^{y - 1}q_i^{c,(y - 1)}} }}{{\sum\limits_{i = 1}^n {P_i^{y - 2}q_i^{c,(y - 1)}} }}\) - - - - - - - (14)
6A.40 The over-the-year method does not distort quarter-on-same quarter of previous year growth rates, since the chain-links refer to the volumes of the same quarter in the respective previous year valued at average prices of that year. However, it does distort quarter-to-quarter growth rates. In addition, the linked quarterly data are temporally inconsistent with the annual-linked data and so benchmarking is needed. Given these shortcomings, the over-the-year method is best avoided.
6A.41 The following tables provide examples of using the annual and one-quarter overlap methods.
Sales of beef and chicken | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Year | 2 | 3 | 4 | |||||||||
Quarter | 1 | 2 | 3 | 5 | 1 | 2 | 3 | 4 | 1 | 2 | 3 | 4 |
Beef (kilos) | 5 | 4 | 3 | 6 | 4 | 5 | 3 | 4 | 4 | 4 | 5 | 4 |
Chicken (kilos) | 2 | 3 | 4 | 3 | 2 | 4 | 5 | 3 | 3 | 4 | 6 | 4 |
Price of beef in previous year ($) | 1.00 | 1.00 | 1.00 | 1.00 | 1.10 | 1.10 | 1.10 | 1.10 | 1.20 | 1.20 | 1.20 | 1.20 |
Price of chicken in previous year ($) |
2.00 |
2.00 |
2.00 |
2.00 |
2.00 |
2.00 |
2.00 |
2.00 |
2.10 |
2.10 |
2.10 |
2.10 |
Value of beef at previous year's prices ($) |
5.00 |
4.00 |
3.00 |
6.00 |
4.40 |
5.50 |
3.30 |
4.40 |
4.80 |
4.80 |
6.00 |
4.80 |
Value of chicken at previous year's prices ($) |
4.00 |
6.00 |
8.00 |
6.00 |
4.00 |
8.00 |
10.00 |
6.00 |
6.30 |
8.40 |
12.60 |
8.40 |
Total sales of meat in previous year's prices ($) |
9.00 |
10.00 |
11.00 |
12.00 |
8.40 |
13.50 |
13.30 |
10.40 |
11.10 |
13.20 |
18.60 |
13.20 |
Link factor year 2 to 3 |
1.0429 |
1.0429 |
1.0429 |
1.0429 |
|
|
|
|
|
|
|
|
Linking year 2 to year 3 ($) |
9.39 |
10.43 |
11.47 |
12.51 |
8.40 |
13.50 |
13.30 |
10.40 |
|
|
|
|
Link factor year 3 to 4 |
1.0658 |
1.0658 |
1.0658 |
1.0658 |
1.0658 |
1.0658 |
1.0658 |
1.0658 |
|
|
|
|
Linking year 2 and 3 to year 4 ($) |
10.00 |
11.12 |
12.23 |
13.34 |
8.95 |
14.39 |
14.18 |
11.08 |
11.10 |
13.20 |
18.60 |
13.20 |
Factor to reference to year 2 |
0.9383 |
0.9383 |
0.9383 |
0.9383 |
0.9383 |
0.9383 |
0.9383 |
0.9383 |
0.9383 |
0.9383 |
0.9383 |
0.9383 |
Referenced to year 2 ($) |
9.39 |
10.43 |
11.47 |
12.51 |
8.40 |
13.50 |
13.30 |
10.40 |
10.41 |
12.39 |
17.45 |
12.39 |
Annualised ($) |
43.80 |
|
|
|
45.60 |
|
|
|
52.64 |
|
|
|
Quarterly growth rate (%) |
|
11.11 |
10.00 |
9.09 |
-32.88 |
60.71 |
-1.48 |
-21.80 |
0.14 |
18.92 |
40.91 |
-29.03 |
Sales of beef and chicken | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Year | 2 | 3 | 4 | |||||||||
Quarter | 1 | 2 | 3 | 4 | 1 | 2 | 3 | 4 | 1 | 2 | 3 | 4 |
Beef (kilos) |
5 | 4 | 3 | 6 | 4 | 5 | 3 | 4 | 4 | 4 | 5 | 4 |
Chicken (kilos) | 2 | 3 | 4 | 3 | 2 | 3 | 5 | 3 | 3 | 4 | 6 | 4 |
Price of beef in previous year ($) | 1.00 | 1.00 | 1.00 | 1.00 | 1.10 | 1.10 | 1.10 | 1.10 | 1.20 | 1.20 | 1.20 | 1.20 |
Price of chicken in previous year ($) | 2.0 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.10 | 2.10 | 2.10 | 2.10 |
Value of beef at previous year's prices ($) | 5.00 | 4.00 | 3.00 | 6.00 | 4.40 | 5.50 | 3.30 | 4.40 | 4.80 | 4.80 | 6.00 | 4.80 |
Value of chicken at previous year's prices ($) | 4.00 | 6.00 | 8.00 | 6.00 | 4.00 | 8.00 | 10.00 | 6.00 | 6.30 | 8.40 | 12.60 | 8.40 |
Total sales of meat in previous year's prices ($) | 9.00 | 10.00 | 11.00 | 12.00 | 8.40 | 13.50 | 13.30 | 10.40 | 11.10 | 13.20 | 18.60 | 13.20 |
Link factor year 2 to 3 | 1.05 | 1.05 | 1.05 | 1.05 | ||||||||
Linking year 2 to year 3 ($) | 9.45 | 10.50 | 11.55 | 12.60 | 8.40 | 13.50 | 13.30 | 10.40 | ||||
Link factor year 3 to 4 | 1.0673 | 1.0673 | 1.0673 | 1.0673 | 1.0673 | 1.0673 | 1.0673 | 1.0673 | ||||
Linking year 2 and 3 to year 4 ($) | 10.09 | 11.21 | 12.33 | 13.45 | 8.97 | 14.41 | 14.20 | 11.10 | 11.10 | 13.20 | 18.60 | 13.20 |
Factor to reference to year | 0.9306 | 0.9306 | 0.9306 | 0.9306 | 0.9306 | 0.9306 | 0.9306 | 0.9306 | 0.9306 | 0.9306 | 0.9306 | 0.9306 |
Referenced to year 2 ($) | 9.39 | 10.43 | 11.47 | 12.51 | 8.34 | 13.41 | 13.21 | 10.33 | 10.33 | 12.28 | 17.31 | 12.28 |
Annualised ($) | 43.80 | 45.29 | 52.20 | |||||||||
Quarterly growth rate (%) | 11.11 | 10.00 | 9.09 | -33.33 | 60.71 | -1.48 | -21.80 | 0.00 | 18.92 | 40.91 | -29.03 |
Deriving chain volume estimates of time series that are not strictly positive
6A.42 Some quarterly national accounts series can take positive, negative or zero values, and so it is not possible to derive chain volume estimates for them. The best-known example is changes in inventories, but any variable which is a net measure is susceptible. While it is not possible to derive true chain volume estimates for variables that can change sign or take zero values, it is possible to derive proxy chain volume estimates. The most commonly used approach is to:
- identify two strictly positive series that when differenced yield the target series;
- derive chain volume estimates of these two series expressed in currency units; and
- difference the two chain volume series.
6A.43 The same approach can be used to derive seasonally adjusted proxy chain volume estimates except that after step 2 the two series are seasonally adjusted before proceeding to step 3.
6A.44 In the case of changes in inventories, the obvious candidates for the two strictly positive series are the opening and closing inventory levels. The chain volume index of opening inventories is referenced to the opening value in the reference year expressed at the average prices of the reference year. Likewise, the chain volume index of closing inventories is referenced to the closing value of inventories expressed at the average prices of the reference year. This ensures that the value of the proxy chain volume measure of changes in inventories is equal to the current price value in the reference year.
6A.45 Seasonally adjusted current price estimates of changes in inventories are obtained by inflating the proxy chain volume estimates by a suitable price index centred on the middle of each quarter and with the same reference year as the volume estimates.
Endnotes
Chapter 7 Annual benchmarks and quarterly estimates
Introduction
7.1 Input-output tables provide a means of undertaking detailed analysis of the process of production and the use of goods and services (i.e. products), and of the income generated in that production. The ASNA includes symmetric I-O tables as well as closely related supply-use tables. Both types of tables are often referred to as I-O tables.
7.2 The integration of I-O in the overall system of national accounts is an important feature of the ASNA. Its role in the ASNA is primarily related to the goods and services accounts and to the shortened sequence of accounts for industries. Complementing the full sequence of accounts for institutional sectors, which cover all kinds of accounts in the ASNA, are the S-U tables, and subsequently the symmetric I-O tables. These serve to provide a more detailed basis for analysing industries and products through a breakdown of the production account, and the generation of income account and the goods and services account, leading to the symmetric I-O table. 'Symmetric' means that the same classifications or units (e.g. the same groups of products) are used in both rows and columns. When the number of rows of products and columns of industries in S-U tables happens to be equal, they are referred to as square (not symmetric) S-U tables. However, S-U tables are most often rectangular (having more products than industries).
7.3 The I-O and S-U tables serve two purposes: statistical and analytical. They provide a framework for checking the consistency of statistics on flows of goods and services obtained from quite different kinds of statistical sources - industrial surveys, household expenditure surveys, investment surveys, foreign trade statistics, etc. The ASNA, and the I-O tables in particular, serve as a coordinating framework for economic statistics, both conceptually for ensuring the consistency of the definitions and classifications used and as an accounting framework for ensuring the numerical consistency of data drawn from different sources. The I-O framework is also appropriate for calculating much of the economic data contained in the national accounts and detecting weaknesses. This is particularly important for the decomposition of the values of flows of goods and services into prices and volumes for the calculation of an integrated set of price and volume measures. As an analytical tool, I-O data are conveniently integrated into macroeconomic models in order to analyse the link between final demand and industrial output levels. I-O analysis also serves a number of other analytical purposes or uses.
7.4 A fundamental role is played in the ASNA by S-U tables. They show, for the economy as a whole and for groups of products, the total resources in terms of domestic output and imports, and the uses of goods and services in terms of intermediate consumption, final consumption, gross capital formation and exports. They also provide information on the generation of income from production.
7.5 They provide an accounting framework within which the commodity flow method of compiling national accounts - in which the total supplies and uses of individual types of commodities have to be balanced with each other - can be systematically exploited, resulting in improvements in the overall accuracy of the national accounts.
7.6 Commencing with 1994-95, the annual GDP account has been compiled using the product flow method. In other words, the compilation of the GDP account is fully integrated with the compilation of the I-O tables.
7.7 Conceptually, the GDP account and the I-O tables are fully integrated and consistent. The GDP account provides three approaches to measuring GDP: summing the incomes generated by production; summing final expenditures on commodities sold in Australia plus exports less imports of goods and services; and summing the value added at each stage of production. I-O tables are essentially a further disaggregation of the same three approaches. Whereas intermediate consumption is netted out from the GDP account, I-O tables bring these inter-industry flows of commodities back into focus, thereby providing a more developed articulation of the process of economic production, and the structure and interrelationships of industries. An important feature of the I-O tables is that they are fully balanced matrices which allow for the confrontation of data and the resolution of differences at a detailed level.
7.8 The strategy adopted by the ABS in relation to the compilation of I-O tables involves a two stage process whereby a series of S-U tables, in both current prices and in the prices of the previous year, are compiled annually. These tables constitute benchmarks for the annual and quarterly GDP accounts. The analytic I-O tables are compiled as the second stage of this process when the S-U tables for a particular year are deemed to be final.
7.9 This approach to compiling the GDP account allows for the annual and quarterly current price GDP accounts to be benchmarked to balanced S-U tables. This applies for all years from 1994-95 except the latest year and the latest two years with the release of the June quarter national accounts. The S-U tables for each year are effectively compiled three times: first preliminary tables, second preliminary tables, and final tables. The GDP account is benchmarked at each of these three stages. The re-benchmarked GDP account is published first in the September quarter issues of the ASNA. This strategy means that the quarterly accounts will never be projected more than eight quarters from a balanced set of annual accounts. Apart from the most recent year and the June quarter national accounts (for which a balanced estimate is not available), there will be only one measure of annual GDP, and consequently no statistical discrepancies in annual terms.
7.10 Estimates for the latest financial year are obtained by aggregation of the quarterly estimates, which are obtained in turn by extrapolating from the latest annual benchmark estimates using the most appropriate indicators. In some cases these are basically the same sources as those used in constructing the annual S-U tables (e.g. private GFCF on new dwellings is mainly based on data for the value of work done from the Building Activity Survey). In other cases, the indicators used are closely related to the aggregate being estimated (e.g. quarterly gross operating surplus of non-financial corporations is mainly based on data from the Quarterly Business Indicator Survey). In a few cases the indicators used provide only a general indication of movements in the aggregate being estimated.
7.11 As explained previously, the compilation of balanced S-U tables requires three iterations. The sequence of S-U and I-O tables is scheduled for completion according to the following timetable:
1st preliminary | end of year t + 16 months |
2nd preliminary | end of year t + 28 months |
Final | end of year t + 40 months |
Input-output tables (based on 1st preliminary S-U tables) | end of year t + 23 months. |
7.12 The major implication of this strategy is that the measures of current price annual GDP and its components are consistent between the S-U tables, the I-O tables and the GDP account, at the time that the I-O tables are compiled. It should be noted that the ABS does not revise I-O tables once they have been published, whereas the S-U tables and the GDP account may be revised for all periods whenever an historical revision is undertaken, and when the final S-U tables are produced. Income and expenditure-based GDP are also equal within the GDP account for all years from 1994-95 in current-price annual terms, except for the latest year, and the June quarter national accounts.
7.13 The volume movements derived from these tables are used to benchmark the volume movements published in the annual and quarterly GDP accounts. Volume movements in respect of the gross value added for industries compiled in this way are considered to be markedly superior to those produced by previous estimation methods.
7.14 The preferred method for estimating the volume change in an industry's value added is through double deflation. This means that value added, in the prices of the previous year (or some other base period), is obtained by deflating outputs and intermediate inputs separately. The value-added estimate for the industry is computed as the difference between these output and input measures.
7.15 The double deflation method cannot be used for all industries. The method applied to remove price effects depends on the robustness of information available. The double deflation method demands a high level of reliability in the current price production accounts, and in the price or quantity data used for deflation. This technique introduces the possibility of numerous and compounding measurement errors in situations where data may not meet the required standards. Gross value added is the difference between two large aggregates, so that a small error in one can significantly affect gross value added.
7.16 It is common for indicator series to estimate the volume movements of value added using only one component, either output or input, because of the problems associated in trying to estimate volumes using double deflation. This is referred to as the single indicator method.
7.17 In ASNA, the single indicator method is applied to estimate the quarterly volume measures for most industries and is based on output indicators. The sum of the four quarters’ volume estimates is used to confront the annual volume estimates, which are mostly derived using the double deflation method.
7.18 It is also necessary to consider the appropriate way to estimate volumes for non-market producer activity as output is valued on the basis of the inputs. The 2008 SNA recommends three possible methods for compiling volume estimates or the output of non-market producers:
- derive a proxy output price index;
- output volume method; and
- input volume method.
The second approach is recommended for non-market producers providing individual services and has been implemented for the education and health industries in the ASNA. The third approach is recommended for non-market producers providing collective services (such as defence). To date, this approach has not been adopted in ASNA.
Annual benchmarks - Supply and use approach
Product flow method or product balance method
7.20 When S-U tables are first prepared during their compilation, they are unlikely to balance and until they are brought into balance, GDP measures from the production, income and expenditure approaches will differ. Only S-U tables provide a sufficiently rigorous framework to eliminate discrepancies in the measured flows of goods and services throughout the economy, in order to ensure the alternative measures of GDP converge to the same value. The technique that enables this convergence is referred to as the 'product flow' or 'product balance' method.
7.21 The amount of a product available for use within the economy must have been supplied either by domestic production or by imports. The same amount of the product entering an economy in an accounting period must be used for intermediate consumption; final consumption; capital formation (including changes in inventories); or exports. These two statements can be combined to give a statement of a product balance:
\(\small {Output{\rm{ }} + {\rm{ }}imports{\rm{ }} = \\ {\rm{ }}Intermediate{\rm{ }}\:consumption{\rm{ }} + {\rm{ }}final{\rm{ }}\:consumption{\rm{ }} + {\rm{ }}capital{\rm{ }}formation{\rm{ }} + {\rm{ }}exports}\)
7.22 The uses of products are usually valued at purchasers' prices and supply at basic prices, given the accounting and valuation rules that underpin the national accounts. It is therefore necessary to add trade and transport margins, and taxes on products less subsidies on products to the left-hand (or supply) side of the identity, so that both sides are expressed in purchasers' prices. A fuller articulation of the product balance for any product thus recognises that the sum of output at basic prices plus imports plus trade and transport margins plus taxes on products less subsidies on products is equal to the sum of intermediate consumption, final consumption and capital formation — all expressed at purchasers’ prices — plus exports.
7.23 Since the figures for output and intermediate consumption correspond to the entries for output and intermediate consumption in the production account, the identity of the sum of all product balances may be rearranged to become:
\(\small {Output{\rm{ }}-{\rm{ }}intermediate{\rm{ }}\:consumption{\rm{ }} + {\rm{ }}taxes{\rm{ }}\:on{\rm{ }}\:products{\rm{ }}-{\rm{ }}subsidies{\rm{ }}\:on{\rm{ }}\:products{\rm{ }} = \\ {\rm{ }}Final{\rm{ }}\:consumption{\rm{ }} + {\rm{ }}capital{\rm{ }}\:formation{\rm{ }} + {\rm{ }}exports{\rm{ }}-{\rm{ }}imports}\)
7.24 The left-hand side of this identity is equivalent to GDP at market prices, also known as the ''production approach'' to GDP. The right-hand side is also equal to GDP at market prices and is known as GDP measured by the ''expenditure approach''.
7.25 Value added can be disaggregated to show all the components of the generation of income account which is commonly referred as GDP measured by the income approach. That is:
\(\small {Output{\rm{ }}-{\rm{ }}intermediate{\rm{ }}\:consumption{\rm{ }} + {\rm{ }}taxes{\rm{ }}\:on{\rm{ }}\:products{\rm{ }}-{\rm{ }}subsidies{\rm{ }}\:on{\rm{ }}\:products{\rm{ }} = \\ {\rm{ }}Compensation{\rm{ }\:}of{\rm{ }}\:employees{\rm{ }} + {\rm{ }}gross{\rm{ }}\:operating{\rm{ }}\:surplus{\rm{ }} + {\rm{ }}gross{\rm{ }}\:mixed{\rm{ }}\:income{\rm{ }}\\ + {\rm{ }}taxes{\rm{ }}\:on{\rm{ }}\:production{\rm{ }}\:and{\rm{ }}\:imports{\rm{ }}-{\rm{ }}subsidies{\rm{ }}\:on{\rm{ }}\:production{\rm{ }}\:and{\rm{ }}\:imports}\)
7.26 The S-U current price balancing process is undertaken through both manual and automated balancing, where significant discrepancies are resolved through evidence based balancing decisions, and small, remaining differences are resolved using a constrained optimisation tool. Balancing decisions are based on a variety of data sources and supporting evidence such as industry annual reports; industry body commentary; industry events news articles; and state of industry profiles.
Goods and services account
7.27 The goods and services account shows that all output from within the production boundary, plus imports (output from abroad), must be accounted for in one of the other two basic activities of the SNA, consumption of goods and services or accumulation of goods and services (or exported, implying either consumption or accumulation abroad).
7.28 The whole sequence of accounts can be viewed as built around the goods and services account by adding transactions relating to the generation, distribution and redistribution of income and saving. When these transactions are aggregated across all sectors and the rest of the world, total resources are equal to total uses. If these were to be ''consolidated'' out of the sequence of accounts, only the goods and services account would be left.
Quarterly estimation methods
Direct sources
7.29 The preferred method of compiling quarterly national accounts estimates is to use a high-quality data source which provides data for the aggregate being measured according to the conceptual basis required for the national accounts. In such cases both the quarterly and annual estimates may be compiled from the same source, the annual estimates being obtained simply as the sum of the quarterly estimates.
Indirect sources
7.30 Annual national accounts estimates are considered to be superior to quarterly estimates. In the case of the income, expenditure and production components of GDP, the annual estimates are balanced in S-U tables, unlike their quarterly counterparts. Therefore, it is desirable to ensure the quarterly estimates are temporally consistent with their annual counterparts. This is achieved by using mathematical procedures to “benchmark” the quarterly estimates to the annual estimates.
7.31 Three commonly used statistical benchmarking procedures are:
- pro rata adjustment;
- Denton difference method; and
- Denton proportional method.
Pro rata adjustment
7.32 In many cases, the quarterly data sources used to compile the national accounts are less reliable, less detailed and/or less appropriate than those used for compiling the annual national accounts benchmarks for particular aggregates. Consequently, indicator series are used to allocate (on a pro rata basis) annual estimates for such aggregates to the quarters of each financial year, and to extrapolate forward for the quarters of the latest incomplete year.
7.33 This benchmarking method simply consists of multiplying the quarterly preliminary estimates in a year by the ratio of the annual national accounts variable to the sum of the preliminary estimates of the four quarters.
7.34 While this method preserves the quarterly growth rates within the year, it changes the growth rate between the last quarter of one year and the first quarter of the next. The extent of the change to this growth rate is determined by how much the annual benchmark-to-preliminary estimate ratio has changed between the two years; that is, the ratio of the annual benchmark to the sum of the preliminary estimates for the corresponding four quarters. If the ratio were to change from 1.02 in year \(t\) to 1.00 in year \(t+1\), for example, the growth rate of the preliminary estimates from the fourth quarter of year \(t\) to the first quarter of year \(t+1\) would be reduced by two percentage points after benchmarking.
7.35 A particular problem that arises when using the indicators (pro rata) method is that the September quarter estimates can be adversely affected by what is known as the 'step problem'. A significant step problem will arise if the relationship between the annualised indicator series and the annual benchmark estimates varies significantly between any two consecutive financial years. In effect, the difference in the annual relationship between the benchmark and the indicator series is largely reflected in the September quarter.
7.36 This problem is reduced by using the 'benchmark' procedure. Given the obvious advantage of using the 'benchmark' procedure, the pro rata method is generally only used in a limited number of cases where the step problem is not significant.
Denton difference method
7.37 The benchmarked estimates are obtained by allocating the discrepancy between the sum of four preliminary quarters and the corresponding annual national accounts estimate to the four quarters in each year, by minimizing a quadratic loss function over the whole, or overlapping lengthy spans, of the time series. Different versions of the quadratic loss function (expressed as a weight matrix) may be chosen.
7.38 The loss function is commonly defined as the sum of squares of either the first or second order differences of each preliminary quarterly estimate and the benchmarked quarterly estimate. In the first difference case, the benchmarked values are those that minimize the following
\(\large \min \sum\limits_{t = 1}^n {{{\left( {\left( {{b_t} - {p_t}} \right) - ({b_{t - 1}} - {p_{t - 1}})} \right)}^2}}\), subject to satisfying the annual constraints,
where there are \(n\) quarterly observations; \(b_t\) is the benchmarked quarterly estimate at time \(t\); and \(p_t\) is the preliminary quarterly estimate at time \(t\).
Denton proportional method
7.39 A combination of the pro rata adjustment and the Denton difference method consists of minimizing the sum of squares of the first differences of the quotient of the benchmarked quarterly estimate and the preliminary quarterly estimate; that is:
\(\large \min {\sum\limits_{t = 2}^n {\left( {\frac{{{b_t}}}{{{p_t}}} - \frac{{{b_{t - 1}}}}{{{p_{t - 1}}}}} \right)} ^2}\), subject to satisfying the annual constraints.
7.40 This method can only be performed when the values of \(b\) and \(p\) are strictly positive.
Characteristics of the two Denton methods
7.41 The Denton difference method minimises the differences of the absolute adjustments of two neighbouring quarters, whilst the Denton proportional method minimises the differences of proportional adjustments of two neighbouring quarters. Therefore, the Denton difference method results in a smooth additive distribution of the differences between the annualised indicator and the benchmark series, and the Denton proportional method results in a smooth multiplicative distribution of these differences. As a result, the Denton difference method tends to produce a smoother series, but the Denton proportional method changes the quarterly growth rates of the of the preliminary estimates least.
7.42 A characteristic of the quarterly national accounts series is that their seasonality and irregularity are generally more multiplicative than additive in nature, and better seasonal adjustments are generally obtained using a multiplicative rather than an additive model.
7.43 The Denton difference method can be applied to data that change sign, whilst the proportional method should only be applied to data that are strictly positive.
7.44 The methods described above are applicable to flow data, but there are other versions suitable for stock data and averages. For further details, refer to Chapter 6 of the IMF's Quarterly National Accounts Manual.³⁹
7.45 The ASNA uses the Denton proportional method for all flow series that are strictly positive. The Denton difference method is used when this is not the case, such as changes in inventories.
Trend interpolation
7.46 Where there are no quarterly direct data sources or indicator series available it is necessary to generate a quarterly time series by adopting the most appropriate allocation procedure. One possible method would be to divide the annual estimate by four, but this would result in steps each September quarter, and no change in the other three quarters. The method used in the ASNA is to apply a linear interpolation method to calculate quarterly time series from annual series. The procedure involves forecasting annual estimates for two extra years, using a weighted average of the movements in year \(t-1\) and year \(t\). Such forecasts are used in preference to the standard projection produced by the interpolation procedure, if information is available to provide a superior forecast for the annual estimates for those two years.
7.47 A mathematical representation of the trend interpolation procedure is given below (see Table 7.1). This method is particularly appropriate for series such as consumption of fixed capital, where only annual estimates are available, and where it is reasonable to expect that movements in the quarterly series will be relatively smooth.
7.48 This type of interpolation procedure is designed to calculate quarterly series from annual series by linear trend interpolation; the annual series are projected backwards by one period, and forwards by two periods using a weighted average of the rate of increase prior to calculation of the quarterly values (the forward projection gives quarterly estimates for the current year).
Let \(\large {Y_1},{Y_2},\:\:.....,{Y_n}\) represent the annual series. Then the extrapolated annual series will be: | |
\(\large {Y_0},{Y_1},{Y_2},.....,{Y_n},{Y_{n + 1}},{Y_{n + 2}}\) | |
where \(\large{Y_1},{Y_2},{Y_3}\) are all positive | |
\(\large {Y_0} = {Y_1}\left( {0.4\frac{{2 + {Y_2}}}{{2 + {Y_3}}} + 0.6\frac{{2 + {Y_1}}}{{2 + {Y_2}}}} \right)\) | |
otherwise if \(\large {Y_1},{Y_2},{Y_3}\) are all negative, then | |
\(\large {Y_0} = {Y_1} - 0.6({Y_2} - {Y_1}) - 0.4({Y_3} - {Y_2})\) | |
And if \(\large {Y_n},{Y_{n - 1}},{Y_{n - 2}}\) are all positive | |
\(\large R = 0.4\frac{{2 + {Y_{n - 1}}}}{{2 + {Y_{n - 2}}}} + 0.6\frac{{2 + {Y_n}}}{{2 + {Y_{n - 1}}}}\) | |
\(\large {Y_{n + 1}} = R{Y_n}\) | |
\(\large {Y_{n + 2}} = R{Y_{n + 1}}\) | |
where \(\large R\) is the weighted projection factor used in order to move forward two periods when the annual series are all positive. | |
Otherwise, | |
\(\large X = 0.4({Y_{n - 1}} - {Y_{n - 2}}) + 0.6({Y_n} - {Y_{n - 1}})\) | |
\(\large {Y_{n + 1}} = X + {Y_n}\) | |
\(\large {Y_{n + 2}} = X + {Y_{n + 1}}\) | |
where \(\large X\) is the weighted projection factor used in order to move forward two periods when the annual series contain negative values. | |
The interpolation procedure which gives the required quarterly series is defined below. | |
For any year \(\large t\) , where \(\large t=1\) to \(\large n+1\) (same as above), the four quarterly observations are: | |
\(\large {q_t},1 = \frac{1}{4}(\frac{1}{4}{Y_{t - 1}} + \frac{7}{8}{Y_t} - \frac{1}{8}{Y_{t + 1}})\) | |
\(\large {q_t},2 = \frac{1}{4}(\frac{9}{8}{Y_t} + \frac{1}{8}{Y_{t + 1}})\) | |
\(\large {q_t},3 = \frac{1}{4}( - \frac{1}{8}{Y_{t - 1}} + \frac{9}{8}{Y_t})\) | |
\(\large {q_t},4 = \frac{1}{4}( - \frac{1}{8}{Y_{t - 1}} + \frac{7}{8}{Y_t} + \frac{1}{4}{Y_{t + 1}})\) |
Seasonal adjustment and trend estimates
7.49 Quarterly time series such as those in national accounts publications are affected by three influences – calendar (mostly seasonal), trend and irregular influences – and the original series can conceptually be split into activity due to each of these components. For example, the activity in a particular December quarter can be conceptually split into:
- systematic calendar and/or seasonal related activity (e.g. Christmas related activity; October long weekend activity, etc.);
- trend activity, that is, the underlying level of the series; and
- irregular activity (e.g. impact of a short-term stimulus package, short-term non-systematic and unpredictable fluctuations).
7.50 When interpreting a quarterly series, it is helpful to assess combinations of the three components, as they each highlight different attributes of the data. In particular, the original, seasonally adjusted and trend series are seen as valuable tools for interpreting time series data. The original series contains all three components and shows 'what actually happened' (according to our survey data). The seasonally adjusted series has the seasonal component removed, leaving the trend and irregular. It shows what happened once the systematic activity that happens the same way every year has been removed, revealing more information about the underlying direction of the series, and/or the impact of irregular influences that may have been overshadowed by seasonal influences in the original series. Finally, the trend series contains only the trend component, and reflects the underlying level or long-term behaviour of the series.
7.51 The seasonal adjustment process splits the original series into estimates of the three components. It first estimates and removes the seasonal and calendar-related influences, creating the seasonally adjusted series. A further statistical process — Henderson smoothing — removes the irregular influence to reveal an estimate of the trend. The estimate of the irregular influences is the difference between the seasonally adjusted and the trend. This section summarises the methods used by the ABS to decompose quarterly national accounts series into their three components and generate the published seasonally adjusted and trend series.
The seasonal adjustment process
7.52 Seasonal effects usually reflect the influence of the seasons themselves, either directly or through production series related to them (such as costs for generating farm production), or social conventions (such as the incidence of holidays) or administrative practices (such as the timing of tax payments). Other types of calendar variation occur as a result of influences such as the number and composition of days in the calendar period (trading day); accounting or recording practices adopted by businesses; the effect of regular paydays on activity levels; or the incidence of movable holidays (such as Easter).
7.53 Statistical techniques can be used to evaluate the effects of normal seasonal and other calendar influences operating on a series. If detectable seasonal or calendar variation is observed, the estimated effects may then be removed from the series to produce a seasonally adjusted series. Although calendar variation may be present in a series, factors applied in a particular period may vary significantly from year to year due to the variability in the number and composition of days in that particular period. This is especially evident in series affected by, say, the payment of salaries or pensions on a fortnightly basis. Seasonal or calendar variation can also move gradually over time in reaction to changing influences, and this is allowed for in the estimation of the seasonal factors.
7.54 Not all statistical series are significantly affected by seasonal or calendar influences which are regular enough to be described as 'reliable', so seasonal or calendar influences cannot always be removed from them. In such cases, the original series may be regarded as also being the seasonally adjusted series. Some examples in the quarterly national accounts are the rent component of farm costs, and the series related to the consumption of fixed capital.
The method of seasonal adjustment
7.55 The ABS software for seasonal adjustment is the SEASABS (SEASonal analysis, ABS standards) package, a knowledge-based seasonal analysis and adjustment tool. The seasonal adjustment algorithm used by SEASABS is based on the X-11 Variant seasonal adjustment software from the U.S. Census Bureau.⁴⁰
7.56 The X-11 technique uses a filter-based approach to decompose the series to be analysed into estimated trend, seasonal and irregular components. The irregular component reflects the influence of unusual or transitory effects, for example, the effect of a major industrial dispute or of unseasonal weather conditions. It also reflects sampling and non-sampling errors which may be present in the original series, and other short-term fluctuations in the series that are neither systematic nor predictable.
7.57 The X-11 program includes a statistical procedure for automatically identifying and modifying unusually large or small values included in the original series, for the purposes of improving the estimate of the seasonal component only. Occasionally, modification of extreme values is undertaken directly prior to seasonal adjustment, in order to better stabilise the estimation of the seasonal component and minimise the extent to which both the estimated seasonal and trend components are affected by irregular influences.
7.58 Adjustments are also made prior to seasonal analysis to deal with abrupt discontinuities in the seasonal pattern or the trend where sufficient observations and/or supplementary information are available to estimate the magnitude of the effects. These 'break factors' have been employed retrospectively in the analysis of a number of national accounts series, and some series contain more than one such break. It is impossible, in most cases, to recognise and assess changes in seasonality or trend at the time they occur, and, until enough subsequent data are available to indicate otherwise, they may initially remain undetected, or be considered irregular effects.
7.59 Although based on the X-11 software, SEASABS also includes components of the U.S. Census Bureau X-12 ARIMA software package.⁴¹ For the national accounts, regression-ARIMA modelling techniques from X-12 ARIMA are used to compare actual original values to expected original values to detect possible extreme values and sudden discontinuities in the trend, and to assist with the estimation of prior adjustment factors to account for them. Additional information (such as unit record data) may also be used in the estimation of appropriate prior adjustment factors.
7.60 The seasonal adjustment process alone cannot indicate whether an unexpected movement appearing in current end seasonally adjusted figures denotes a variation in trend, or an unusual (irregular) effect, or whether it is due to an abrupt change in seasonality. However, the addition of subsequent data points to the series end and/or supplementary information about the reasons underlying series behaviour can assist in the identification and treatment of seasonal or trend discontinuities as soon as possible after they occur.
7.61 After extreme values and sudden discontinuities in a series have been accounted for, calendar and seasonal effects, where measurable, are estimated by X-11 using mainly filtering techniques, and occasionally regression procedures. The estimated seasonal and calendar influences, together with certain (but not all) prior adjustment factors, form the combined adjustment factors by which the original series is seasonally adjusted. It should be noted that only the estimates of seasonal and/or other types of calendar variation are removed from the original series to form the seasonally adjusted series, which contains the trend and irregular components. Since the irregular influences remain, an unexpectedly large movement in the seasonally adjusted series does not necessarily indicate a change in the underlying trend of the series.
Multiplicative, additive or pseudo-additive adjustments
7.62 The SEASABS program allows for the original series to be decomposed into trend, seasonal and irregular components by using a multiplicative, additive, or pseudo-additive model. The choice of which of these models to use depends on whether it is more appropriate to consider the amplitudes of the trend, seasonal and irregular components to be proportional to or largely independent of each other. Specifically, the multiplicative model treats all three components as dependent on each other, the additive model treats them independently, and the pseudo-additive model treats the seasonal and irregular components as independent of each other but dependent upon the level of the trend.
7.63 Although most series in the national accounts are adjusted multiplicatively there are some exceptions. Series which include both positive and negative values cannot be directly adjusted using a multiplicative model. An additive or pseudo-additive model must be used if such series cannot be disaggregated into components having wholly positive (or negative) values. Several series relating to gross farm product (i.e. outputs and inputs) are affected by such extreme seasonal variations that the pseudo-additive model provides the best seasonally adjusted results. Other time series (especially inventories) are best adjusted using the additive model.
Direct or indirect seasonal adjustments for aggregate series
7.64 It is possible to seasonally adjust an aggregate series either directly or by seasonally adjusting a number of its components and adding the results. The latter (aggregative) method has been employed for most of the major aggregates in the national accounts. Besides retaining, as far as possible, the essential accounting relationships, the aggregative approach is needed because many of the aggregates include components having different seasonal and trend characteristics, and sometimes require different methods of adjustment. Details of the methods of adjustment used for each of the quarterly national accounts aggregates are available on request.
Concurrent adjustment
7.65 The national accounts use a concurrent adjustment methodology, under which the calendar and seasonal effects are re-estimated each quarter using all available data, including that for the most recent period. This allows for the most accurate estimate possible of the seasonal component of the series, as:
- using the data from the most recent periods allows better estimates of the calendar effects at the current end, especially when the calendar effects for a period move over time;
- it automatically takes into account revisions to the original data, resulting in appropriate revisions to the seasonally adjusted and trend data; and
- the adjustment method can be more responsive to changes in the seasonal and trend components, and identify them soon after occurrence; under concurrent adjustment; for example, turning points in the trend series are usually identified within three periods of them occurring.
7.66 The improvements to the estimation of the seasonal component result in improved estimates of the seasonally adjusted and trend series, especially at the current end, and smaller revisions in subsequent periods. Note that this method results in reduced revisions compared to the previously utilised adjustment methodology, forward factor adjustment, under which a year’s worth of seasonal factors was extrapolated at the time of the annual reanalysis, and then revised a year later.
7.67 The use of concurrent methodology minimises the risk of incorrect seasonal forward factors being used in the adjustment process and an inappropriate seasonally adjusted series being published.
7.68 In the March quarter 2020 issue of Australian National Accounts: National Income, Expenditure and Product, the method used to produce seasonally adjusted estimates was temporarily changed from concurrent methodology to the forward factors method for series with significant and prolonged impacts from COVID-19. Series will return to concurrent seasonal adjustment, when economic conditions are assessed to have returned to pre COVID-19 patterns.
7.69 Temporary switch to forward factors will be used in the future where economic shocks significantly disrupt regular seasonal patterns, as occurred with the COVID-19 pandemic.
The annual seasonal reanalysis cycle and revisions
7.70 The characteristics of National Accounts time series are reviewed annually. During this reanalysis, the method and quality of the seasonal adjustment process are scrutinised for each series, for the purpose of identifying any changes required to improve the adjustment, and, subsequently, the seasonally adjusted and trend estimates. Such improvements could include:
- changes to decomposition models, filters, etc.;
- insertion of new prior adjustments (e.g. corrections for unusually large or small values, or adjustments for abrupt changes in the seasonal pattern or trend level); and/or
- improvements to existing prior adjustments (e.g. updating corrections in response to new supplementary information).
7.71 Significant revisions can occur as a result of the annual reanalysis, with the more recent periods likely to be most affected. However, the impact of such revisions has generally been reduced since the introduction of concurrent seasonal adjustment.
Interpreting seasonally adjusted series
7.72 The following points need to be taken into account when using seasonally adjusted statistics:
- seasonal adjustment is a means of removing the estimated effects of seasonal and other types of calendar variation from statistical series, so that the effects of other influences on the series may be more clearly recognised;
- seasonal adjustment does not remove the effect of irregular influences from the statistics, so an unexpected movement in a seasonally adjusted series should not necessarily be regarded as a change in trend; and
- seasonally adjusted statistics will be revised following revisions to the original data and as additional original data points are included each quarter.
The trend estimates
7.73 A statistical technique is used to dampen the irregular element in cases where the removal of only the seasonal element from an original series (resulting in the seasonally-adjusted series) may not be sufficient to allow identification of changes in its trend. This technique is known as smoothing, and the resultant smoothed series is known as trend series.
7.74 Smoothing to derive trend estimates is achieved by applying moving averages to seasonally adjusted series. A number of different types of moving averages may be used; for quarterly series, a seven-term Henderson moving average is applied. The use of Henderson moving averages leads to smoother data series relative to series that have been seasonally adjusted only. This average is symmetric, but asymmetric forms of the average are applied as the end of a time series is approached. The application of asymmetric weights is guided by an end-weight parameter, which is based on the calculation of a noise-to-signal ratio; that is, the average movement in the irregular component divided by the average movement in the trend component, known as the I/C ratio). While enabling trend estimates for recent periods to be produced, asymmetric weights result in revisions to the estimates when subsequent observations are available.
7.75 Revisions to the trend series may arise from:
- the availability of subsequent data;
- revisions to the underlying data;
- identification of and adjustment for extreme values, seasonal breaks and/or trend breaks;
- re-estimation of seasonal factors; and
- changes to the end weight parameter.
7.76 For more information about ABS procedures for deriving trend estimates and an analysis of the advantage of using them over alternative techniques for monitoring trends, see Information Paper: A Guide to Interpreting Time Series – Monitoring Trends, 2003.
Further reading
For further information on time series analysis in the ABS, please refer to Time Series Analysis Frequently Asked Questions.
Endnotes
Chapter 8 Gross Domestic Product
Introduction
8.1 The central concept in a national accounting system is economic production. Production is the process whereby inputs of labour, materials (produced or natural), accumulated capital assets and knowledge are combined to provide outputs of goods and services. This definition of production includes:
- production of goods that are supplied to units other than their producers, including goods used as inputs to the production of other goods;
- production of goods that are retained for the producer's own use;
- provision of services of all kinds which add to the value of goods (such as transport and merchandising services);
- provision of services directly bought and sold in the market in their own right (such as the services of doctors, teachers and entertainers);
- provision of knowledge-capturing products (the provision, storage, communication and dissemination of information, advice and entertainment) which the consuming unit can access repeatedly; and
- illegal production, comprising the production of illegal goods and services (i.e. for which distribution or possession is banned by law), and production of legal goods and services by unauthorised producers (e.g. unlicensed medical practitioners).
8.2 Production is not only confined to goods and services that are of clear monetary value because they are bought and sold. Some produced goods and services do not enter the market but are made available free of charge by the producer (e.g. many goods and services produced by governments and non-profit organisations). They can also be for the direct use of the producer, either as final consumption or as inputs to the producer's own production or capital formation. Such non-market production can be regarded as including, in addition to the goods and services produced as the result of current work, the services which durable assets (such as cars, television sets and public parks) yield to their owners/users, and domestic services produced by households for use within the producing household. Such services are outside the market since they flow to their owners/users without any current exchange of money equivalent to the value of the services.
The production boundary
8.3 In the central accounts of the national accounts system, a more restricted view of production is taken. The national accounts are primarily constructed to assist governments and other organisations to make market-based macroeconomic policy decisions. This includes the analysis of markets and factors affecting market performance such as inflation and unemployment. In 2008 SNA (and the ASNA), the value of domestic services produced and consumed within households are excluded from production because such services are relatively isolated and independent from markets, and are difficult to value in an economically meaningful way. Examples include cleaning, decoration and maintenance of the dwelling, cleaning, servicing and repair of household durables or other goods, washing, preparing meals, and child and aged care. Although the production of such services is not part of the central framework of the national accounting system, the value of the services can be shown in satellite accounts to the main accounts.
8.4 With the exception of own-account household services, 2008 SNA recommends coverage of the production of all goods and services that legally enter the market, and also that part of production which does not enter the market, but for which a realistic value can be imputed using closely related or analogous market transactions. Because illegal goods and services, such as illicit drugs and illegal gambling, are purchased in the market, their production is included in the 2008 SNA production boundary. However, because of data limitations, illegal production is not covered in the ASNA, although the effects of some of these activities may be included by default; for example, if money obtained from such activities is laundered through legitimate institutions that are covered by the national accounts.
8.5 2008 SNA states that to satisfy the definition of production in an economic sense:
There must be an institutional unit that assumes responsibility for the process of production and owns any resulting goods or knowledge-capturing products or is entitled to be paid, or otherwise compensated, for the change-effecting or margin services provided.⁴²
8.6 Institutional units are the basic units for which flows and stocks are recorded in the national accounts. The 2008 SNA description excludes from economic production natural processes without human involvement or direction, such as the unmanaged growth of fish stocks in international waters. However, the activities of fish farming and fishing for profit are considered economic production. Activities which cannot be purchased from producers are also outside the production boundary, regardless of whether the service may be beneficial to overall economic production. Included in this category are basic human activities such as eating and sleeping.
8.7 Although consumer durable assets such as cars, washing machines, microwave ovens and dishwashers provide a stream of services to their users over many years, in 2008 SNA (and the ASNA) such services are conventionally treated as consumed as soon as the assets are bought by a household. 2008 SNA states:
The use of a durable good, such as a vehicle, by persons or households for their own personal benefit or satisfaction is intrinsically a consumption activity and should not be treated as if it were an extension, or continuation, of production.⁴³
8.8 The disadvantage of this treatment is that, in times of hardship, households may temporarily reduce their purchases of these goods to a low level without significantly reducing their consumption of the services they provide. At such times, the national accounts figure for consumption, being restricted to purchases, may give a misleading impression of the community's ongoing level of consumption. Accounting for the services of consumer durables requires treatment of the durables as capital goods providing a stream of services over a number of years. As with own-account household domestic services, such a concept would not be appropriate for most market-based analyses.
8.9 Units of the general government sector provide goods and services free of charge or at nominal prices that are below their cost of production. Such activity nevertheless meets the definition of production. Because such government-provided goods and services are not purchased by the users, the general government sector is regarded as consuming its own output. The non-market output is valued at its cost of production. Similar considerations apply to many non-profit institutions, which meet their production costs from donations provided by members and benefactors and are able to provide goods and services free or at prices that are not commercially determined. As with general government bodies, the non-market production of non-profit institutions is valued at cost.
8.10 In the ASNA, values are also imputed for production of some other goods and services that are not sold in the marketplace. Imputations are confined to a small number of cases where a reasonably satisfactory basis for the valuation of the implied transactions is available, and where their exclusion could result in significant distortions in the accounts. Imputations are made for the following:
- services provided by owner-occupied dwellings;
- food and other goods produced by households for their own final consumption ('backyard production');
- services provided by financial institutions over and above explicit charges made;
- services provided by owner-builders in the construction of dwellings and major alterations and additions to dwellings; and
- the non-observed economy.
Endnotes
Basic, producers' and purchasers' prices
8.11 There is more than one set of prices that can be used to value outputs and inputs depending on how taxes and subsidies on products and transport charges are recorded. ASNA uses basic prices for the valuation of industry outputs, and purchasers' prices for valuation of intermediate inputs and of final demand. This is in line with the recommendations in 2008 SNA.
8.12 It is important to note the distinction between taxes (and subsidies) on products and other taxes (and subsidies) on production when discussing alternate price measures. Taxes on products are payable per unit of the product (i.e. a flat amount dependent on the physical quantity of the product, or a percentage of the value at which the product is sold). Other taxes on production are imposed on the producer regardless of the production of any product (e.g. land taxes).
Basic prices
8.13 The basic price is the amount receivable by the producer from the purchaser for a unit of a good or service, minus any tax payable (including deductible value added taxes) plus any subsidy receivable, as a result of production or sale of the unit. Subsidies artificially reduce the sale price, so they are included in the basic price to obtain a measure of the true value of the goods or services produced. Taxes on products, if included, would artificially increase the price and so are excluded. The basic price also excludes any transport charges invoiced separately by the producer as recommended by 2008 SNA. The basic price therefore measures the amount retained by the producer in respect of the good or service that is produced as output.
8.14 Analysts who use Input-Output tables (I-O tables) have expressed a strong preference for the definition of basic prices in the 1968 version of the SNA, which excludes the transport component whether separately invoiced or not. This treatment has been implemented in the I-O tables. This results in changes to estimates of output and intermediate use by industry for series at basic prices, with no impact on gross value added, GDP or series at purchasers' prices.
Producers' prices
8.15 2008 SNA states output can also be measured using producers' prices. These are defined as the amount receivable by the producer, from the purchaser, for a unit of a good or service produced as output, minus any non-deductible GST invoiced to the purchaser and excluding any transport charges separately invoiced by the producer. This measure of output is not included within the ASNA.
Purchasers' prices
8.16 The purchaser's price is the amount paid by the purchaser in order to take delivery of goods or services. Purchasers' prices include any taxes payable (less any subsidies receivable) on production and imports, and any transport charges paid separately by the purchaser to take delivery. Value added taxes such as GST are included in purchasers' prices unless they are allowable as deductions from the purchaser's value-added tax liability. Purchasers' prices are also referred to as market prices.
8.17 In the derivation of industry value added, outputs are valued at basic prices and intermediate consumption is valued at purchasers' prices. By convention, the resulting estimates of industry value added are described as being 'at basic prices'.
Measures of GDP
8.18 The conceptual underpinning of GDP is that it measures gross value added for all resident institutional units for the whole economy. Gross value added is the difference between output and intermediate consumption for each institutional unit and thereby measures the value created by production. Value added represents the contribution of labour and capital to the production process. This measure of GDP is commonly referred to as GDP measured by the production approach (GDP(P)).
8.19 GDP can also be derived from income and expenditure flows.
- GDP measured by the income approach (GDP(I)): GDP is the source of income for the factors of production (labour and capital). Total factor income is derived by summing factor incomes (i.e. compensation of employees, gross operating surplus, gross mixed income). Adding taxes less subsidies on production and imports to total factor income gives GDP at purchasers' prices.
- GDP measured by the expenditure approach (GDP(E)): GDP can be derived as the sum of all final expenditures on goods and services (i.e. final consumption expenditures and GFCF), changes in inventories of finished goods, work-in-progress and raw materials, and the value of exports of goods and services less the value of imports of goods and services. Imports are deducted because, although included in final expenditures, they are not part of domestic production.
8.20 GDP is a measure of production and not a measure of economic welfare. The level of production is important because it largely determines how much a country can afford to consume, and it also affects the level of employment. The consumption of goods and services, both individually and collectively, is one of the most important factors influencing the welfare of a community, but it is only one of several factors. In addition, aggregate measures such as consumption expenditure and income do not show which sectors of the population are increasing (or decreasing) expenditure, nor the distribution of income within the economy, nor whether the income generated is the result of more or fewer hours worked. Total welfare also depends on non-economic events, such as epidemics, droughts, floods, the state of the environment, individual and community stress levels, levels of crime, and political factors such as freedom and security. As a measure of production, GDP is not intended to embrace non-economic events. The national accounts are primarily intended to provide data at different levels of aggregation to meet the needs of analysts and others interested in the behaviour of the economy and the factors responsible for major market occurrences such as inflation, employment and unemployment. While certain aggregates may indicate changes in some aspects of welfare, changes in GDP do not necessarily correspond to changes in the overall welfare of the community.
8.21 GDP less consumption of fixed capital is called net domestic product (NDP). Consumption of fixed capital is a cost of production recorded in the income and capital accounts. It may be defined in general terms as the cost, in the accounting period, of the decline in the current value of the producer's stock of fixed assets as a result of physical deterioration, foreseen obsolescence or normal accidental damage. It excludes losses associated with damage caused by war or natural disasters. Such losses are classified as capital losses and are recorded under 'Other changes in the volume of assets' as part of accumulation.
8.22 To be consistent with other entries in the accounts, consumption of fixed capital must be valued at the prices prevailing during the current accounting period. Although consumption of fixed capital is analogous to the measure of depreciation used by businesses, business depreciation measures are generally not suitable for national accounting purposes. This is because businesses generally account for depreciation according to the standards of historical cost accounting, where the original purchase cost of an asset is allocated over the estimated life span of the asset. In periods of rising prices, historical cost accounting will understate the real (current) cost of replacing the asset and will result in an overstatement of business income and saving. Therefore, in the ASNA, the book value of depreciation is not used, and estimates are substituted that reflect changes in the market value of assets. Estimates of consumption of fixed capital are derived in conjunction with estimates of capital services and net capital stock.
8.23 In most cases, when a distinction is drawn between ‘gross’ and ‘net’ recording, ‘gross’ means without deducting consumption of fixed capital and ‘net’ means after deducting consumption of fixed capital. In general, the gross figure is easier to estimate and therefore more reliable, however the net figure is usually the one that is conceptually more appropriate and relevant for analytical purposes.
8.24 The following three chapters outline the concepts, sources and methods used to compile annual and quarterly GDP by the production, expenditure and income approaches in the ASNA.
Chapter 9 Gross Domestic Product - Production approach (GDP(P))
Components of GDP(P)
9.1 GDP is the national accounting measure of production occurring in a whole economy during an accounting period (e.g. a quarter or a year). GDP is based on the concept of value added, which is the unduplicated value of goods and services produced in any given period. Gross value added at basic prices is equal to the total value of outputs at basic prices less the total intermediate consumption at purchasers' prices. GDP at purchasers' prices is equal to the sum of the gross value added at basic prices of all resident producers plus taxes on products payable less subsidies on products receivable. This measure is commonly referred to as GDP(P); that is:
GDP(P) | = | Gross value added |
+ | Taxes on products | |
- | Subsidies on products | |
= | Output | |
- | Intermediate consumption | |
+ | Taxes on products | |
- | Subsidies on products |
9.2 The following describes the components of GDP(P) and how they are valued in concept.
Output
9.3 Output consists of the value of goods and services produced within a type of activity unit (TAU). Output includes production that is completed in the accounting period as well as production in the accounting period that remains incomplete at the end of that accounting period. Goods and services produced as outputs may be:
- sold at 'economically significant' prices (i.e. prices which have a significant influence on both the amounts producers are willing to supply and the amounts purchasers wish to buy);
- bartered in exchange for other goods, services or assets that are provided to employees as compensation in kind, or used for other payments in kind;
- held as unsold 'finished' goods in the producers' inventories for subsequent sale, or held as work-in-progress in producers' inventories;
- supplied to another TAU belonging to the same enterprise as intermediate inputs into the latter's production;
- retained by the producers for own final consumption or gross fixed capital formation; and
- supplied free, or sold at prices that are not economically significant, to other institutional units (including households), as often occurs in the case of output of general government units and non-profit institutions.
9.4 The output of a TAU is defined as the value of total sales or other uses of goods (including capital work done on own account) and services produced as outputs plus the value of changes in the inventories of work-in-progress and finished goods produced as outputs. Three categories of output are recognised for national accounting purposes: market output, output produced for own final use and non-market output. The distinction is necessary to obtain an accurate valuation of output for each. The determining factor for market and non-market output is whether or not the unit sets economically significant prices.
Market output
9.5 Market output is output that is sold at economically significant prices or otherwise disposed of on the market, or output that is intended for sale or disposal on the market. Market output includes the value of goods or services bartered, supplied by one establishment to another in the same institutional unit for use as intermediate consumption, used for payments in kind, or margins on the supply of goods and services (including transport and financial services). Market output also includes the value of changes in inventories of finished goods and work-in-progress intended for disposal on the market.
9.6 Sales of goods are to be recorded when the ownership of the goods passes from the producer to the purchaser or when the services are provided to the purchaser. The valuation is at basic prices.
9.7 The valuation of changes in inventories poses special problems in a national accounting context. Changes in the valuation of inventories held at particular points in time can include the effects of price changes, as well as additions to and subtractions from inventories. As such, holding gains or losses are not the result of production, they are excluded from the value of output in the national accounts. Accordingly, values of inventories used in measuring changes in inventories need to be adjusted to exclude them. In the ASNA, this adjustment is known as the inventory valuation adjustment (IVA).
Output for own final use
9.8 Output for own final use includes output for own final consumption and output for own gross fixed capital formation.
- Output for own final consumption
- Consists of goods and services that are produced for final use by the owners of the enterprises in which they are produced. Corporations have no final consumption (only intermediate consumption used in producing their outputs), and output for own final consumption is produced only by unincorporated enterprises. Two examples of such output are agricultural goods produced and consumed by members of the same household and rent of owner-occupied dwellings.
- Output used for own gross fixed capital formation
- Goods or services used for own gross fixed capital formation can be produced by any kind of unit, whether incorporated or unincorporated. Examples are machinery or equipment produced by an establishment for use in the same establishment and the construction, extension, or alteration of an establishment's building by the enterprise owning the establishment. In the ASNA, imputations are made of the value added by owner-builders in the construction, alteration, or extension of their dwellings and for significant own-account construction carried out by private and public enterprises. An imputation is also made for computer software and research and development made on own account.
9.9 Output for own final use should be valued at the basic price at which the goods or services could be sold on the market; that is, the price that would prevail between a willing buyer and willing seller at the time and place the goods and services are produced. In the case of agricultural produce, the nearest equivalent price is likely to be the 'farm-gate' price; that is, the price the farmer could receive by selling the produce to a purchaser who comes to the farm to collect the produce.
9.10 When reliable market prices cannot be obtained, the value of output for own final use is the sum of costs of production; that is, the sum of intermediate consumption; compensation of employees; consumption of fixed capital; a net return to fixed capital; and other taxes (less subsidies) on production. Where the own-account production is undertaken by a non-market producer, net return to fixed capital is not included.
9.11 The ASNA also includes limited examples of output for own intermediate use in both the value of output and intermediate consumption. The two examples include the use of brown coal by electricity producers (where that coal is mined on-site and not charged for) and own-account production of electricity, where TAUs generate electricity which they use themselves. The choice to include these values was driven by a desire to fully reflect the input structure of the industries in question, and as the same values are added to both output and intermediate consumption, the inclusion does not affect gross value added.
Non-market output
9.12 Non-market output consists of goods and services produced by non-profit institutions serving households (NPISH) or general government units and supplied free, or at prices that are not economically significant, to other institutional units or to the community as a whole. For general government output, economically significant prices may not be charged to users. The reasons are that the consumption of the goods or services cannot be monitored or controlled, as is the case with public administration and defence, or that governments make policy decisions not to charge the full cost, as with education and health services. Likewise, NPISH often do not fully charge for their services because such institutions are formed to provide services to members or the needy.
9.13 The non-market output of general government units and NPISH is valued at the costs of producing the outputs, comprising compensation of employees, the cost of purchased goods and services used in production (intermediate consumption), other taxes (less subsidies) on production and consumption of fixed capital. These units therefore do not generate a net operating surplus from their non-market production.
Output of particular industries
9.14 The general rules governing the recording and valuation of output require elaboration regarding their application to the output of certain industries, mostly service industries such as transport and storage, wholesale trade and retail trade, and finance and insurance industries. Also included is a description of how to value the activities of research and development and the production of originals and copies.
Transport and storage
9.15 The output of transport services is measured by the amounts receivable for transporting goods or persons. A good in one location is considered to be a different quality from the same good in another location, so the transporting from one location to another is a process of production.
9.16 The activity of storage is important in the production process whereby goods are 're-transported' from one point-in-time to another (as opposed to locations in the instance of transport services). For example, the inventories of goods have to be physically stored until sold and may require storage in a properly controlled environment. The increase in the price of a product is due to storage; storage costs incurred represents a production process. It is important to note that this increase is clearly distinguished from holding gains and losses, which are excluded from production.
9.17 There can be an increase in the value of a product other than a simple price rise as a result of being held in storage, that is, there can be an increase in value which is construed as a further stage in production. For example:
- the production process is sufficiently long that discounting factors should be applied to work put in place significantly long before delivery;
- the quality of the good may improve with the passage of time (such as wine); and
- there may be seasonal factors affecting the supply or the demand for the good that lead to regular, predictable variations in its price over the year, even though its physical qualities may not have changed.
9.18 Therefore, in principle, the values of additions to inventories include not only the values of the goods at the time they are stored but also the value of the additional output produced while the goods are held in store.
Wholesale and retail trade
9.19 The major output of the wholesale and retail trade industries is the value of the service provided in selling goods (i.e. goods purchased and resold are not treated as part of intermediate consumption). The value of the service is equal to the trade margins realised on the goods sold. The measurement of this service at basic prices is analogous to that for goods producing industries: output at basic prices is the value of the trade margins, including the value of any subsidies received by the wholesaler or retailer, and excluding taxes on production of the service.
9.20 A trade margin is the difference between the actual or imputed price realised on a good purchased for resale and the price that would have to be paid by the distributor to replace the good at the time it is sold or otherwise disposed of. Margins can be negative if prices have to be marked down or the goods are never sold because they go to waste or are stolen.
9.21 It is important to note:
- goods sold are valued at the price they are actually sold (excluding GST);
- goods provided to employees as remuneration in kind are valued at the current purchasers' prices payable by the traders to replace them, therefore zero margin;
- additions to inventories of goods for resale are valued at the prices prevailing at the time of entry into inventories; and
- goods on withdrawal from inventories are valued at the cost to the wholesaler or retailer at the time of the withdrawal of acquiring similar replacement goods for later sale, unless the goods were acquired with the intention of making a real holding gain over the storage period, in which case the value of the holding gain is excluded.
Financial intermediaries (except insurance and pension funds)
9.22 Banks and other financial intermediaries incur liabilities on financial markets by borrowing funds (for example, in the form of deposits) which they lend, on different terms and conditions, to other institutional units, such as households, governments and corporations. Such institutions intermediate between lenders and borrowers by channelling funds from one to the other, incurring risk in the process.
9.23 Although financial intermediaries make explicit charges for a number of financial services, the charges do not cover the cost of all services provided. If receipts from the charges were the only measure of output, financial intermediaries would invariably appear to be running at a loss. However, financial intermediaries are able to provide services for which they do not charge explicitly, through charging higher rates of interest to borrowers than they pay to lenders. The resulting 'interest margin' is used to defray expenses. The interest-rate differential therefore includes an implicit charge to customers for services provided and plays a part in determining the level of interest rates observed in practice.
9.24 In the ASNA, interest is treated as property income and is not recorded as either output or intermediate input. However, in effect, interest receivable by financial intermediaries excludes payments by borrowers for the services provided by the financial institutions, and interest payable by financial intermediaries is lower than it would otherwise be to cover the costs of financial services provided to depositors.
9.25 Accordingly, interest flows are adjusted to take account of the service charges that form part of the output of financial intermediaries. In effect, the interest paid by borrowers can be regarded as comprising two components, a service charge and a 'pure' interest flow. Likewise, the interest paid to depositors can be viewed as a 'pure' interest flow from which a service charge has been deducted. The 2008 SNA refers to the pure interest as 'SNA interest'. As these service charges cannot be measured directly, the imputed charges are accordingly referred to as financial intermediation services indirectly measured (FISIM).
9.26 The method for calculating FISIM has been refined in 2008 SNA. This refinement is consistent with the existing ASNA treatment. FISIM payable by both depositors and borrowers will be calculated by using the concept of a 'reference' rate of interest. The reference rate should contain no service element and reflect the risk and maturity structure of deposits and loans, and could be determined as being equal to a particular market rate of interest. The ASNA uses a practical approach to estimating the reference rate of interest as the mid-point between the average interest rate on loans and the average interest rate on deposits. The long-term bond rate is used as the reference rate for institutions that are not deposit taking institutions. For domestic transactions, the reference rates applied are in the domestic currency, whereas for exports and imports of FISIM different reference rates are applied for loans and deposits in other currencies.
9.27 In the ASNA, FISIM is an output of the following financial intermediaries: banks, other depository corporations, central borrowing authorities and securitisers. For banks and other depository corporations it is the sum of the imputed service charges for both borrowers and depositors while, for central borrowing authorities and securitisers, it is the sum of the imputed service charge for borrowers.
9.28 The FISIM calculation is based on stock levels of loans and deposits; that is:
\(\large[(Loan\:rate\:–\:reference\:rate) * Stock\:of\:loans] + [(reference\:rate\:–\:deposit\:rate)\:* \\ \large Stock\:of\:deposits]\)
9.29 As FISIM forms part of the output of financial intermediaries, it must also be recorded as part of consumption by the intermediaries' customers. FISIM is therefore shown as consumption by individual industries, government units and households, for both depositors and borrowers. Exports and imports of FISIM are also estimated.
9.30 Exports and imports of FISIM are calculated on reported income flows rather than reported asset and liability levels to ensure that calculated FISIM is consistent with reported income flows. The methodology for calculating FISIM by income flows is:
\(\large[(Loan\:rate\:–\:reference\:rate) * interest\:flow\:on\:loans/loan\:rate] + [(reference\:rate\:–\\ \large deposit\:rate) * interest\:flow\:on\:deposits/deposit\:rate]\)
9.31 Exports of FISIM are generated through two transactions:
- interest income earned by resident financial intermediaries (providing services) on loans to non-resident non-financial entities;
- interest income payable by resident financial intermediaries (specifically depository corporations) on deposits (providing services) to non-resident non-depository corporations. The non-resident is paying for the service component provided by the resident; therefore, it is recorded as an export of a service.
9.32 Imports of FISIM are generated through two transactions:
- interest income receivable by resident non-depository corporations on deposits held with non-resident financial intermediaries (specifically depository corporations) providing the service. The resident is paying for the service component provided by the non-resident, therefore it is recorded as an import of a service.; and
- interest payable by resident non-financial entities on loans from non-resident financial intermediaries (providing services).
9.33 A basket of international interest rates which are common to each major currency are monitored quarterly for deposits and loans. A mid-point between the average interest rate on loans and the average interest rates on deposits is used as the reference rate for each currency. FISIM is calculated for each currency and then aggregated to give a total figure for exports and imports of FISIM.
Insurance and pension funds
9.34 Insurance is a form of financial intermediation in which funds are paid by policyholders and invested in financial or other assets, which represent technical reserves to meet future claims arising from the events specified in insurance policies. Typically, insurance enterprises do not make a separate charge for the service of arranging the financial protection or security which insurance is intended to provide. This is known as the insurance service charge (ISC).The value of the ISC, which forms part of the output of insurance and pension funds, has to be estimated indirectly from the total receivables and payables of insurance enterprises, including the income accruing from the investment of technical reserves.
9.35 The value of output of the services is produced by:
- non-life insurance corporations – estimated as premiums earned and investment income on the technical reserves less expected claims;
- life insurance corporations – the sum of administrative costs incurred (including investment and labour costs) plus a profit margin; and
- pension funds – the sum of administrative costs incurred (including investment and labour costs).
Research and development
9.36 Research and development (R&D) is creative work undertaken on a systematic basis in order to increase the stock of knowledge, including knowledge of man, culture and society, and to enable this stock of knowledge to be used to devise new applications. A major change in 2008 SNA is the recognition of expenditure on R&D as capital formation, whereas 1993 SNA treated it as intermediate consumption where purchased and ancillary production (which is not recorded) if performed in-house. The 2008 SNA treatment has been implemented in ASNA.
9.37 In principle, R&D output is valued at market prices if purchased (or outsourced) or as the sum of total production costs plus an appropriate mark-up representing the costs of fixed assets used in production if undertaken on own account. Survey data indicate that over 90 per cent of R&D activity in Australia is undertaken on own account and representative market price data for R&D products are not available. Therefore R&D output is valued by the total production costs incurred.
9.38 Own account R&D is derived from the ABS Survey of Research and Experimental Development, published in Research and Experimental Development, Businesses, Australia. This dataset collects expenditure on the production of research and experimental development classified by both sector and type of research undertaken.
9.39 Survey aggregates are adjusted during S-U balancing to ensure alignment with other datasets used in the compilation of the ASNA.
9.40 With the exception of Ownership of dwellings, all industry divisions produce own account research and development.
9.41 The current price estimates are deflated using the Wage Price Index (WPI). The resulting estimates are used to construct chain volume measures.
The production of originals and copies
9.42 The production of books, recordings, films, software, tapes, disks, etc. is a two-stage process where the first is the production of the original and the second is the production and use of the copies. 2008 SNA (and 1993 SNA) recommended the capitalisation of the production of entertainment, literary and artistic originals as well as computer software. Prior to this it was treated as intermediate consumption. The ASNA complies with the 2008 SNA treatment.
9.43 2008 SNA clarified that 'licences to use' should be treated as capital formation if they are to be used for more than one year, regardless of payment arrangements. The ABS does not have information on the duration of 'licences to use' and assumes that most software is purchased with the intention to be used beyond one year and so should be treated as capital formation.
9.44 If the original is sold when it has been produced, the value of the output of the original producer is given by the price paid. If it is not sold, its value could be estimated on the basis of its production costs with a mark-up.
9.45 An estimation for computer software (consisting of packaged software, customised software and own account software) is included in the value of output. It is valued at market prices if purchased, while software developed in-house is valued at its estimated basic price or at its cost of production if it is not possible to estimate the basic price.
9.46 Estimates from the 2002-03 Information and Communication Technology (ICT) Satellite Account were incorporated into the ASNA for financial year 2002-03. Estimates for subsequent financial years are derived as follows:
- customised software and own account software are extrapolated using estimates from the Economic Activity Survey (EAS); and
- packaged software is derived from the level of imports of computer software as an indicator.
9.47 Estimates for own account software are added to output where a proportion of other own account capital formation is considered computer software and allocated to industry and sector.
9.48 Current price estimates are deflated using mainly relevant Producer Price Indexes (PPIs).
Adjustments made to output
Understatement of income
9.49 Most ANZSIC divisional estimates of Australian production at basic prices have an adjustment for the estimated level of understatement of income. The calculated value for each ANZSIC subdivision's understatement of income is added to the division's total output estimate to form the final Australian production at basic prices.
9.50 The percentage adjustment for each ANZSIC subdivision's estimated understatement of income is different. The estimated understatement of income is based on industry analysis conducted by the Australian Taxation Office from their audits of business income and business expenses.
9.51 It is considered that no understatement of income adjustments is required for the following industries:
- Electricity supply
- Gas supply
- Rail transport
- Water, pipeline and other transport
- Air and space transport
- Finance
- Insurance and superannuation funds
- Ownership of dwellings
- Government administration and regulatory services and Defence Off-June year reporting
9.52 Business units may report on a calendar year basis other than for the year ending June, so an adjustment is required to ensure all output data are on a June financial year basis before they are used in S-U compilation. This adjustment is applied by deriving off-June factors for each data item using Business Indicators: Australia (QBIS) for each ANZSIC subdivision. The appropriate off-June factors are then applied to data items reported by individual businesses in the EAS for each ANZSIC subdivision who did not respond on a June financial year basis. Hence the data reported on an off-June financial year basis is adjusted onto a June financial year basis.
9.53 Further information can be found in the ABS publication, Experimental Estimates for Australian Industry Adjusted for Off-June Year Reporting.
Own account R&D
9.54 An estimate for own account R&D is included to derive output. More information can be found in the ABS publication, Research and Experimental Development, Businesses, Australia.
Intermediate consumption
9.55 Intermediate consumption (or intermediate use) consists of the value of the goods and services consumed as inputs to the production process. The goods and services may be either transformed (e.g. flour may be transformed into bread) or completely consumed or used up (e.g. electricity and most services) in the process of producing outputs.
9.56 In addition to goods and services used directly in the production process, intermediate consumption includes the value of all goods and services used as inputs into ancillary activities. Ancillary activities are undertaken within an enterprise for the sole purpose of supporting the main and secondary activities. Ancillary activities include purchasing, sales, marketing, accounting, data processing, transportation, storage, and security. The output of an ancillary activity is not intended for use outside the enterprise.
9.57 Intermediate consumption does not include valuables consisting of works of art, precious metals and stones and articles made out of them, that are acquired as stores of value and are not used up in the process of production. However, intermediate consumption does include precious stones and metals used in the production of jewellery and similar items.
9.58 Intermediate consumption excludes the costs incurred by the gradual using up of fixed assets, which is recorded as consumption of fixed capital in the income and capital accounts. Rentals paid on fixed assets that are leased from other institutional units under operating leases are included as part of intermediate consumption, along with fees, commissions, royalties, etc., payable under licensing arrangements.
9.59 As described previously, the ASNA includes output for own intermediate use in limited cases. In these cases, the imputed value of brown coal and electricity produced by those TAUs is also included in their intermediate consumption.
Distinction between operating leases and financial leases
9.60 Operating leases are leases that provide for the renting of machinery or equipment for specified periods of time that are substantially shorter than the total expected service lives of the machinery or equipment. An operating leasing is a form of production in which the owner of the machinery or equipment (the lessor) provides a service to the user (or lessee). The lessor is usually responsible for the maintenance and repair of the equipment as part of the service provided to the lessee. Rentals are treated as payment for the total service provided, and are included in the intermediate consumption of producers. For operating leases, consumption of fixed capital is charged to the lessor.
9.61 Under a financial lease, a change of ownership from the lessor to the lessee is deemed to have taken place, even though the leased goods legally remain the property of the lessor, at least until the lease expires. Financial leasing is an alternative to lending as a method of financing the acquisition of machinery and equipment, in which the lessor effectively makes a loan to the lessee to enable the latter to finance the acquisition of the equipment. Rentals under financial leases are treated as a combination of loan repayments and interest payments and not as part of intermediate consumption. Under a financial lease, consumption of fixed capital is charged to the lessee.
Boundary between intermediate consumption and compensation of employees
9.62 Certain goods and services used up by producers do not enter directly into the production process but are consumed by employees working on that process. Where goods and services are provided to employees and are used by the employees in their own time and at their own discretion, the goods and services constitute remuneration in kind rather than intermediate consumption. Fringe benefits, such as the private use of company cars, airline lounge memberships, telephones and rent subsidies, fall into this category. This distinction is important, because the inclusion of remuneration in kind in compensation of employees, rather than in intermediate consumption, increases labour income and GDP.
Boundary between intermediate consumption and gross fixed capital formation
9.63 This boundary is not always clear cut. The following provides an explanation of the treatment of particular expenditures.
Small tools
9.64 Expenditure on large items of machinery and equipment is recorded as gross fixed capital formation while regular expenditure on small durables, such as hand tools, is normally regarded as intermediate consumption.
Repairs and maintenance
9.65 The 2008 SNA recommends that ordinary maintenance and repairs of fixed assets used in production constitute intermediate consumption and that major renovations, reconstructions or enlargements of fixed assets are to be treated as gross fixed capital formation. Ordinary maintenance and repairs are necessary to ensure effective utilisation of assets over their expected service lives. Such maintenance and repairs do not change the asset or its usual level of performance. Major renovations, reconstructions or enlargements increase the performance capacity of existing assets or significantly extend their previously expected service lives. Examples are extending or enlarging existing buildings or structures and refitting or restructuring the interior of a building or ship.
Research and development
9.66 Research and development is treated as capital formation except in any cases where it is clear that the activity does not entail any economic benefit for its owner, in which case it is treated as intermediate consumption. This is a change in treatment as recommended by 2008 SNA and has been implemented in ASNA.
Mineral and petroleum exploration
9.67 Expenditures on mineral and petroleum exploration are not treated as intermediate consumption. Whether successful or not, they are needed to acquire new reserves and so are all treated as gross fixed capital formation.
Military equipment
9.68 Expenditure on major military equipment (such as weapon delivery systems) is treated as gross fixed capital formation in the ASNA. Expenditures on durable military items such as boots, bombs and bullets, torpedoes and spare parts, are recorded as increases in inventories on acquisition and decreases in inventories on use or disposal, and therefore as intermediate consumption as they are used up.
Adjustments made to intermediate use
Overstatement of expenses
9.69 Each ANZSIC division calculation of intermediate use has a correction for the level of overstatement of expenses. The calculated value for each ANZSIC subdivision overstatement of expenses is removed from the division's final intermediate use estimate.
9.70 The percentage adjustment for each ANZSIC subdivision's estimated overstatement of expenses is different. The estimated overstatement of expenses is based on industry analysis conducted by the Australian Taxation Office from their audits of business income and business expenses.
9.71 It is considered that no overstatement of expenses adjustments is required for the following industries:
- Electricity supply
- Gas supply
- Water supply, sewerage and drainage services
- Rail transport
- Water, pipeline and other transport
- Air and space transport
- Motion picture and sound recording
- Broadcasting (except Internet)
- Finance
- Insurance and superannuation funds
- Ownership of dwellings
- Government administration and regulatory services
- Defence
- Education and training
- Health care and social assistance
- Heritage and creative and performing arts
- Gambling, sports and recreation.
Off-June year reporting
9.72 Business units may report for a non-June financial year, so an adjustment is required to ensure all intermediate consumption data are on a June-year basis before they are used in S-U compilation. This adjustment is applied by matching responses from the annual Economic Activity Survey (EAS) with those from Business Indicators: Australia for businesses reporting on an off-June financial year.
9.73 Further information can be found in the ABS publication, Experimental Estimates for Australian Industry Adjusted for Off-June Year Reporting.
FISIM
9.74 FISIM is recorded as part of intermediate consumption by financial intermediaries' customers; that is, for all businesses, government and households. The FISIM output is estimated so that it can be allocated by final use (to household final consumption expenditure) and intermediate use directly. FISIM is produced for the following intermediate use categories initially:
- non-financial corporations (private, national, state and local);
- financial corporations (finance, insurance and financial auxiliaries);
- general government (national, state and local);
- unincorporated enterprises; and
- ownership of dwellings.
9.75 Estimates for FISIM produced by non-resident units and consumed by resident units (i.e. an import of goods and services) and FISIM produced by resident units and consumed by non-resident units (i.e. an export of goods and services) are obtained from Balance of Payments (BoP) data. Imports are allocated to intermediate use of private non-financial and financial corporations.
9.76 Intermediate use is allocated to sectors and industries as follows:
- non-financial corporations (private, national, state and local) – FISIM is allocated to industries in proportion to the sum of interest income and interest expenses from the Economic Activity Survey;
- general government – industry allocation is undertaken in proportion to non-market output of general government;
- financial corporations – allocated entirely to the Financial and Insurance Services industry;
- unincorporated enterprises – FISIM is allocated to industries in proportion to the sum of interest income and interest expenses from the Economic Activity Survey; and
- FISIM is allocated to ownership of dwellings actual and imputed rent based on outstanding owner and investor loans estimates from the National Accounts Finance and Wealth account.
Changes to the allocation of FISIM to ownership of dwellings
From 04/03/2024 FISIM is allocated to ownership of dwellings actual and imputed rent based on outstanding owner and investor loans estimates from the National Accounts Finance and Wealth account. Previously ownership of dwellings industry was allocated entirely to ownership of dwellings. Paragraph 9.76.
Paragraph 9.76 prior to 04/03/2024 update
Insurance service charge (ISC)
9.77 ISC is recorded as part of consumption by non-life insurance corporations' customers; that is, for all businesses, governments and households. The ISC output is estimated so that it can be allocated by final use (to household final consumption expenditure) and intermediate use directly. The ISC is estimated for the following intermediate use categories:
- non-financial corporations (private and public);
- financial corporations (finance, insurance and auxiliaries);
- general government;
- unincorporated enterprises; and
- ownership of dwellings.
9.78 Estimates for ISC produced by non-resident units and consumed by resident units (i.e. an import of goods and services) and ISC produced by resident units and consumed by non-resident units (i.e. an export of goods and services) are obtained from BoP data. Imports are allocated to intermediate use of private non-financial and financial corporations.
9.79 Intermediate use is allocated to sectors and industries as follows:
- general government – industry allocation is undertaken in proportion to non-market output of general government;
- financial corporations – allocated entirely to the Financial and insurance services industry;
- unincorporated enterprises and public / private non-financial corporations – the ISC is allocated in proportion to insurance premiums obtained from the Economic Activity Survey; and
- ownership of dwellings industry – allocated entirely to ownership of dwellings.
Taxes and subsidies on products
9.80 Taxes on products are taxes that are payable per unit of a good or service. They are payable when they are produced, delivered, sold, transferred or otherwise disposed of by their producers (e.g. GST, sales tax and excise tax).
9.81 Subsidies on products are subsidies that are payable per unit of a good or service. A subsidy usually becomes payable when the good or service is produced, sold or imported, but may also be payable in other circumstances such as when a good is transferred, leased, delivered or used for own consumption or own capital formation.
Sources and methods - Annual
Benchmark years
9.82 The current price estimates of gross value added by industry are produced from 1994-95 up to the year previous to the latest year using S-U tables and are in balance with the expenditure estimates.
9.83 The main data source for non-financial corporations and NPISHs in the annual benchmarks is the Economic Activity Survey (EAS), published in Australian Industry. The EAS consists of a core component and a rolling component. The core component produces broad financial data and broad demographic data. The rolling component produces detailed financial data and some combination of product data, detailed demographic and activity data.
9.84 The outputs of the core and rolling components can be directly or indirectly constructed via the following streams of work:
- the survey program – consists of questionnaires to directly collect data via the Economic Activity Survey, and includes irregular annual industry surveys such as the Wholesale Industry Survey (WIS);
- the complementary program – uses data substitution and data modelling/synthetic estimation to fulfil some of the national accounts compilation needs not specifically met by the survey program;
- the case study program – centres around the use of case studies to satisfy I-O data requirements of product level detail; and
- the feasibility and research program – addresses known quality, conceptual and methodological issues. In most cases, it does not directly deliver new products or services, instead helps in the clarification and resolution of issues impacting on the quality of existing outputs or on the design and delivery of new outputs.
9.85 The tables below outline the data sources and methods used in the estimation of annual gross value added at current price estimates and volume measures by industry. They also include an outline of the data sources used to estimate the product level detail required to populate the S-U tables. References to the Economic Activity Survey as a data source encompasses the Annual Industry Statistics program as described above.
9.86 Market output is derived for all non-financial and financial corporations and household units covering all industries. Non-market output is derived for general government and NPISH units. General government activity is not allocated to all industries. NPISH units are concentrated in a small number of industries (i.e. Information media and telecommunications; Professional, scientific and technical services; Administrative and support services; Education and training; Health care and social assistance; Arts and recreation services; and Other services). Little, if any, NPISH activity is present in the other industries; if there is any NPISH activity (as reported in the Economic Activity Survey) in these industries then this small amount of non-market output would be included in gross value added estimates.
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey is the main data source used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. The following adjustments are also included to obtain output:
|
||
Output – product level | ||
Industry product estimates for primary and secondary production are modelled using the estimates calculated from the ABS publication, Value of Agricultural Commodities Produced, Australia. Product movements are then confronted with the available product information found in the ABARES publication, Agricultural Commodities, and the ABS publication, Value of Agricultural Commodities Produced, Australia. S-U estimates at product level are published in the ABS publication, Australian National Accounts: Supply Use Tables. They also form the basis for the product dimension that is used in the Input-Output tables. |
||
Intermediate use | ||
The Economic Activity Survey is the main data source used to derive intermediate use. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. The following adjustments are also included to obtain intermediate use:
|
||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The annual volume is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product, as well as information obtained from the media and industry associations. For this industry, volume data are also obtained from Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) statistics, and the ABS publication, Value of Agricultural Commodities Produced, Australia. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey and Government Finance Statistics are the main data sources used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. Government Finance Statistics data relating to gross expenditure by government classified according to function or purpose are used to derive government output by industry. Function or purpose categories are used as a proxy for both product and industry, with ratios derived from historical input and output data used to allocate each category to product. Primary products are aggregated to derive industry data. The following adjustments are also included to obtain output:
| ||
Output – product level | ||
Industry ANZSIC subdivision product estimates for primary and secondary production are modelled using weights from the Input-Output tables. Secondary production estimates are derived directly from Economic Activity Survey data corresponding to the related input and output product. Product movements are confronted according to available product information in the ABARES publication, Agriculture and Resource Quarterly. | ||
Intermediate use | ||
The Economic Activity Survey is the main data source used to derive intermediate use. General government intermediate use is derived residually with the components coming from various sources; namely, the Survey of Employment and Earnings, Government Finance Statistics and the Perpetual Inventory Method. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. General government intermediate use is included and is derived as the general government estimates for gross output less compensation of employees less consumption of fixed capital. The following adjustments are also included to obtain intermediate use:
| ||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey is the main data source used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. The following adjustments are also included to obtain output:
|
||
Output – product level | ||
Product-level estimates for mining for the five commodity producing groups (060 Coal mining, 070 Oil and gas extraction, 080 Metal ore, 0801 iron ore and 090 Non-metallic mineral mining and quarrying) are compiled from detailed commodity-level information contained in the ABS publication, Australian Industry and Energy Account, Australia. | ||
Intermediate use | ||
The Economic Activity Survey and the Energy Account are the main data sources used to derive intermediate use. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. The following adjustments are also included to obtain intermediate use:
|
||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The annual volume is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product; quantity information is obtained from the ABS publications, Australian Industry and Energy Account, Australia, as well as media and industry associations. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey and Government Finance Statistics are the main data sources used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. Government Finance Statistics data relating to gross expenditure by government classified according to function or purpose are used to derive government output by industry. Function or purpose categories are used as a proxy for both product and industry, with ratios derived from historical input and output data used to allocate each category to product. Primary products are aggregated to derive industry data. The following adjustments are also included to obtain output:
Industry estimates for primary and secondary production are calculated from Economic Activity Survey data. | ||
Output – product level | ||
Product level information is determined from detailed source data contained in the Mineral and Petroleum Exploration Survey and Economic Activity Survey. | ||
Intermediate use | ||
The Economic Activity Survey is the main data source used to derive intermediate use. General government intermediate use is derived residually with the components coming from various sources; namely, the Survey of Employment and Earnings, Government Finance Statistics and the Perpetual Inventory Method. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. General government intermediate use is included and is derived as the general government estimates for gross output less compensation of employees less consumption of fixed capital. The following adjustments are also included to obtain intermediate use:
| ||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The annual volume is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product, as well as information obtained from the media and industry associations. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey is the main data sources used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. The following adjustments are also included to obtain output:
|
||
Output – product level | ||
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, the complementary estimates program, extrapolated estimates based on the previous year’s estimates, case study information, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. | ||
Intermediate use | ||
The Economic Activity Survey is the main data source used to derive intermediate use. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. The following adjustments are also included to obtain intermediate use:
|
||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey and Government Finance Statistics are the main data sources used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. Government Finance Statistics data relating to gross expenditure by government classified according to function or purpose are used to derive government output by industry. Function or purpose categories are used as a proxy for both product and industry, with ratios derived from historical input and output data used to allocate each category to product. Primary products are aggregated to derive industry data. The following adjustments are also included to obtain output:
| ||
Output – product level | ||
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, case study information, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. | ||
Intermediate use | ||
The Economic Activity Survey is the main data source used to derive intermediate use. General government intermediate use is derived residually with the components coming from various sources; namely, the Survey of Employment and Earnings, Government Finance Statistics and the Perpetual Inventory Method. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. General government intermediate use is included and is derived as the general government estimates for gross output less compensation of employees less consumption of fixed capital. The following adjustments are also included to obtain intermediate use:
| ||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey and the Energy Account are the main data sources used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. The following adjustments are also included to obtain output:
| ||
Output – product level | ||
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, case study information, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. | ||
Intermediate use | ||
The Economic Activity Survey and the Energy Account are the main data sources used to derive intermediate use. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. The following adjustments are also included to obtain intermediate use:
| ||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The annual volume is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product, as well as information obtained from the media and industry associations. For this industry, volume data are also obtained from the Department of Industry, Science and Resources (DISR). |
Changes made to Table 9.7 Annual gross value added by industry - Petroleum, coal, chemical and rubber products manufacturing (ANZSIC Subdivision 17)
From 28/10/2024,
Volume measures
References to the Department of Industry, Science, Energy and Resources have been changed to Department of Industry, Science and Resources. This reflects current administrative arrangements.
Item | Comment |
---|---|
Output | |
The Economic Activity Survey and Government Finance Statistics are the main data sources used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. Government Finance Statistics data relating to gross expenditure by government classified according to function or purpose are used to derive government output by industry. Function or purpose categories are used as a proxy for both product and industry, with ratios derived from historical input and output data used to allocate each category to product. Primary products are aggregated to derive industry data. The following adjustments are also included to obtain output:
| |
Output – product level | |
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. | |
Intermediate use | |
The Economic Activity Survey is the main data source used to derive intermediate use. General government intermediate use is derived residually with the components coming from various sources; namely, the Survey of Employment and Earnings, Government Finance Statistics and the Perpetual Inventory Method. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. General government intermediate use is included and is derived as the general government estimates for gross output less compensation of employees less consumption of fixed capital. The following adjustments are also included to obtain intermediate use:
| |
Gross value added | |
Output less intermediate use. | |
Volume measures | |
Derived using the double deflation method for value added. The annual volume is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product, as well as information obtained from the media and industry associations. For this industry, volume data are also obtained from the Department of Industry and Australian Institute of Petroleum (AIP). |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey and the Energy Account are the main data sources used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. Estimates are added for brown coal produced and used by electricity generators imputed from the ABS Energy, Water and Environment Management Survey. The following adjustments are also included to obtain output:
|
||
Output – product level | ||
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, case study information, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. | ||
Intermediate use | ||
The Economic Activity Survey and the Energy Account are the main data sources used to derive intermediate use. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. Estimates are added for brown coal produced and used by electricity generators imputed from the ABS Energy, Water and Environment Management Survey. The following adjustments are also included to obtain intermediate use:
|
||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The annual volume is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product, as well as information obtained from the media and industry associations. For this industry, volume data are also obtained from the Energy Supply Association of Australia and the Bureau of Resources and Energy Economics. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey is the main data source used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. The following adjustments are also included to obtain output:
|
||
Output – product level | ||
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, case study information, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. | ||
Intermediate use | ||
|
The Economic Activity Survey is the main data source used to derive intermediate use. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. The following adjustments are also included to obtain intermediate use:
|
|
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The annual volume is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product, as well as information obtained from the media and industry associations. |
Item | Comment |
---|---|
Output | |
The Water Supply and Sewerage Services Survey and Economic Activity Survey are the main data sources used to derive output for both the private and public sectors. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. The following adjustments are also included to obtain output:
| |
Output – product level | |
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. Government Finance Statistics data is also used to allocate a share of the output to the general government consumption of fixed capital. | |
Intermediate use | |
The Water Supply and Sewerage Services Survey and Economic Activity Survey are the main data sources used to derive intermediate use for both the private and public sectors. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, general government, households and NPISH units. The following adjustments are also included to obtain intermediate use:
| |
Gross value added | |
Output less intermediate use. | |
Volume measures | |
Derived using the double deflation method for value added. The annual volume is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product, as well as information obtained from media and industry associations. Volume data for this industry are also Water Supply and Sewerage Services Survey, and from the National Water Commission for confrontation and analysis purposes. Noting the concept of crown water, this industry is treated as a service-producing industry, a deviation from 2008 SNA recommendations as a result of Australia’s water laws, so industry volumes will not always align with physical consumption rates. |
Changes made to Table 9.11 Annual gross value added by industry - Water supply, sewerage and drainages services (ANZSIC Subdivision 28)
From 28/10/2024,
Intermediate use
The Water Supply and Sewerage Services Survey has been added as a main data source.
Item | Comment |
---|---|
Output | |
The Economic Activity Survey and Government Finance Statistics and the main data sources used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. Government Finance Statistics data relating to gross expenditure by government classified according to function or purpose are used to derive government output by industry. Function or purpose categories are used as a proxy for both product and industry, with ratios derived from historical input and output data used to allocate each category to product. Primary products are aggregated to derive industry data. The following adjustments are also included to obtain output:
| |
Output – product level | |
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. | |
Intermediate use | |
The Economic Activity Survey is the main data source used to derive intermediate use. In this industry, General government intermediate use is derived residually with the components coming from Government Finance Statistics, the Survey of Employment and Earnings and the Perpetual Inventory Method. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, general government, households and NPISH units. General government intermediate use is included and is derived as the general government estimates for gross output less compensation of employees less consumption of fixed capital. The following adjustments are also included to obtain intermediate use:
| |
Gross value added | |
Output less intermediate use. | |
Volume measures | |
Derived using the double deflation method for value added. The annual volume is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product, as well as information obtained from media and industry associations. |
Item |
Comment |
|
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey is the main data source used to derive output for the Construction industry. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. In addition to this, output for construction activity that is out of scope of the Economic Activity Survey is included. This additional output relates to owner builders of new houses, alterations and additions and general government construction activity. The output for owner-builders of new houses is calculated by using the proportion of owner-builder activity to construction activity derived from the ABS publication, Private Sector Construction Industry, Australia, and applying this to the construction of new houses from the ABS publication, Building Activity, Australia. In order to calculate the output for owner builder alterations and additions, two components of alterations and additions are derived:
An adjustment to the output of residential construction is made to remove the value of land from sales of house and land packages. This adjustment is the percentage of land value to sales of residential construction derived from the ABS publication, Private Sector Construction Industry, Australia and is applied to residential construction. The construction output for the general government sector is estimated using the ABS publication, Engineering Construction Activity, Australia. Total engineering construction by the public sector for the public sector (less engineering construction for the telecommunications and electricity industries) is added to total construction output. General government consumption of fixed capital is also included in output sourced from the Perpetual Inventory Method. The following adjustments are also included to obtain output:
|
||
Output – product level | ||
Industry ANZSIC subdivision product estimates for primary and secondary product production are modelled by using the following ABS publications: Building Activity, Australia; Engineering Construction Activity, Australia; and Private Sector Construction Industry, Australia. | ||
Intermediate use | ||
|
The Economic Activity Survey is the main data source used to derive intermediate use. General government intermediate use is derived residually with the components coming from various sources; namely, the Survey of Employment and Earnings, Government Finance Statistics and the Perpetual Inventory Method. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. General government intermediate use is included and is derived as the general government estimates for gross output less compensation of employees less consumption of fixed capital. The following adjustments are also included to obtain intermediate use:
|
|
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
|
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey is the main data source used to derive output. The output of wholesale trade services is equal to the trade margin realised on the goods sold. The margin is the value of sales less the value of the goods purchased for resale. The following adjustments are also included to obtain output:
|
||
Output – product level | ||
Industry ANZSIC subdivision product estimates for primary and secondary product production are modelled based on product level data from the Economic Activity Survey, and periodic industry surveys, such as the Retail and Wholesale Industries Surveys. | ||
Intermediate use | ||
The Economic Activity Survey is the main data source used to derive intermediate use. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived from the Economic Activity Survey for non-financial corporations, households and NPISH units. The following adjustments are also included to obtain intermediate use:
|
||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey is the main data source used to derive output. The output of retail trade services is equal to the trade margin realised on the goods sold. The margin is the value of sales less the value of the goods purchased for resale. The following adjustments are also included to obtain output:
|
||
Output – product level | ||
Industry ANZSIC subdivision product estimates for primary and secondary product production are modelled based on product level data from the Economic Activity Survey, and periodic industry surveys, such as the Retail and Wholesale Industries Surveys. | ||
Intermediate use | ||
The Economic Activity Survey is the main data source used to derive intermediate use. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. The following adjustments are also included to obtain intermediate use:
|
||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey and Government Finance Statistics are the main data sources used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. Government Finance Statistics data relating to gross expenditure by government classified according to function or purpose are used to derive government output by industry. Function or purpose categories are used as a proxy for both product and industry, with ratios derived from historical input and output data used to allocate each category to product. Primary products are aggregated to derive industry data. The following adjustments are also included to obtain output:
| ||
Output – product level | ||
Industry ANZSIC subdivision product estimates for primary and secondary product production are modelled based on product level data from Economic Activity Survey, and periodic industry surveys, published as Clubs, Pubs, Taverns and Bars, Australia; Cafes, Restaurants and Catering Services, Australia; and Accommodation Services, Australia. | ||
Intermediate use | ||
The Economic Activity Survey is the main data source used to derive intermediate use. General government intermediate use is derived residually with the components coming from various sources; namely, the Survey of Employment and Earnings, Government Finance Statistics and the Perpetual Inventory Method. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. General government intermediate use is included and is derived as the general government estimates for gross output less compensation of employees less consumption of fixed capital. The following adjustments are also included to obtain intermediate use:
| ||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey and Government Finance Statistics are the main data sources used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. Government Finance Statistics data relating to gross expenditure by government classified according to function or purpose are used to derive government output by industry. Function or purpose categories are used as a proxy for both product and industry, with ratios derived from historical input and output data used to allocate each category to product. Primary products are aggregated to derive industry data. The following adjustments are also included to obtain output:
| ||
Output – product level | ||
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. | ||
Intermediate use | ||
The Economic Activity Survey is the main data source used to derive intermediate use. General government intermediate use is derived residually with the components coming from various sources; namely, the Survey of Employment and Earnings, Government Finance Statistics and the Perpetual Inventory Method. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. General government intermediate use is included and is derived as the general government estimates for gross output less compensation of employees less consumption of fixed capital. The following adjustments are also included to obtain intermediate use:
| ||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey is the main data source used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. The following adjustments are also included to obtain output:
|
||
Output – product level | ||
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, case study information, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. | ||
Intermediate use | ||
The Economic Activity Survey is the main data source used to derive intermediate use. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. The following adjustments are also included to obtain intermediate use:
|
||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey and Government Finance Statistics are the main data sources used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. Government Finance Statistics data relating to gross expenditure by government classified according to function or purpose are used to derive government output by industry. Function or purpose categories are used as a proxy for both product and industry, with ratios derived from historical input and output data used to allocate each category to product and primary products are aggregated to derive industry data. The following adjustments are also included to obtain output:
| ||
Output – product level | ||
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. | ||
Intermediate use | ||
The Economic Activity Survey is the main data source used to derive intermediate use. General government intermediate use is derived residually with the components coming from various sources; namely, the Survey of Employment and Earnings, Government Finance Statistics and the Perpetual Inventory Method. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. General government intermediate use is included and is derived as the general government estimates for gross output less compensation of employees less consumption of fixed capital. The following adjustments are also included to obtain intermediate use:
| ||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey and Government Finance Statistics are the main data sources used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. Government Finance Statistics data relating to gross expenditure by government classified according to function or purpose are used to derive government output by industry. Function or purpose categories are used as a proxy for both product and industry, with ratios derived from historical input and output data used to allocate each category to product. Primary products are aggregated to derive industry data. The following adjustments are also included to obtain output:
| ||
Output – product level | ||
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. | ||
Intermediate use | ||
The Economic Activity Survey is the main data source used to derive intermediate use. General government intermediate use is derived residually with the components coming from various sources; namely, the Survey of Employment and Earnings, Government Finance Statistics and the Perpetual Inventory Method. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. General government intermediate use is included and is derived as the general government estimates for gross output less compensation of employees less consumption of fixed capital. The following adjustments are also included to obtain intermediate use:
| ||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey and Government Finance Statistics are the main data sources used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. Non-market output is measured as the costs of producing outputs including compensation of employees, the cost of purchased goods and services used in production, other taxes (less subsidies) on production and consumption of fixed capital. It is derived for general government and NPISH units. Government Finance Statistics data relating to gross expenditure by government classified according to function or purpose are used to derive government output by industry. Function or purpose categories are used as a proxy for both product and industry, with ratios derived from historical input and output data used to allocate each category to product. Primary products are aggregated to derive industry data. The following adjustments are also included to obtain output:
| ||
Output – product level | ||
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, case study information, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. | ||
Intermediate use | ||
The Economic Activity Survey is the main data source used to derive intermediate use. General government intermediate use is derived residually with the components coming from various sources; namely, the Survey of Employment and Earnings, Government Finance Statistics and the Perpetual Inventory Method. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. General government intermediate use is included and is derived as the general government estimates for gross output less compensation of employees less consumption of fixed capital. The following adjustments are also included to obtain intermediate use:
| ||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
Balance sheet, income and expenditure and interest rate information are used to compile the output for the following financial intermediaries – the Reserve Bank of Australia (RBA); banks; other depository corporations (credit unions, building societies, cash management trusts, registered financial corporations); central borrowing authorities; securitisers and financial intermediaries not elsewhere classified (e.g. public unit trusts excluding property trusts; public development authorities; investment companies; common funds; co-operative housing societies; public housing schemes; and other financial corporations). The following outlines the data sources used to estimate the various components of output: Balance sheets:
Income and expenditure:
Interest rates:
Output is calculated as: FISIM imputation The following adjustment is also included to obtain output:
| ||
FISIM imputation | ||
To compile the FISIM imputed estimate for all financial intermediaries (except the RBA and financial intermediaries n.e.c.), total interest receivable and payable estimates by financial instruments (i.e. deposits, bills of exchange, one-name paper, bonds and loans) and counterparty sector and subsector flows for the following six sectors and subsectors are compiled:
Three datasets are required to compile the interest flows; namely:
The next step is to calculate FISIM for loans and deposits (banks and other depository corporations) and for loans (securitisers and central borrowing authorities); that is:
[(counterparty loan rate – reference rate) * counterparty stock of loans] + [(reference rate – counterparty deposit rate) * counterparty stock of deposits] where the reference rate is mid-point between the average interest rate on loans and the average interest rate on deposits.
[(counterparty loan rate – reference rate) * counterparty stock of loans] where the reference rate is weighted average bond yield. The above calculations are undertaken in separate loan and deposit FISIM tables for each of the four groups of FISIM generating institutions (banks, other depository corporations, central borrowing authorities and securitisers). Each table captures the counterparty sector and subsector loan and deposit balances, their respective interest flows and interest margins (i.e. reference rate – deposit rate, or loan rate – reference rate) and the subsequent FISIM estimates. | ||
Imputed output of financial intermediaries not elsewhere classified | ||
Described in Table 11.6 | ||
Imputed output of the RBA | ||
Described in Table 11.6 | ||
Explicit charges | ||
Described in Table 11.6 | ||
Gross non-land rent and other service income (excludes property income) | ||
Described in Table 11.6 | ||
Output – product level | ||
Product level estimates for finance services are obtained directly or modelled using the source data outlined above. | ||
Intermediate use | ||
Is derived residually from output at basic prices minus industry value added. | ||
Gross value added | ||
Sum of gross operating surplus, compensation of employees and other taxes less subsidies on production for the Finance Industry. | ||
Volume measures | ||
The detailed information from the current price FISIM loan and deposit tables for the four groups of financial intermediaries (i.e. banks, other depository corporations, central borrowing authorities and securitisers) are used to construct chain volume measures. Chain volume FISIM measures are produced for the total, household final consumption expenditure, intermediate use (e.g. ownership of dwellings; general government, etc.), as follows:
Volume estimates for exports are derived using the total HFCE implicit price deflator. Volume estimates for the rest of the Finance and insurance services industry are derived using the double deflation method. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Changes made to Table 9.22 Annual gross value added by industry - Finance (ANZSIC Subdivision 62)
From 04/03/2024 for volume measures, constant price estimates of balances (loans and deposits) by counterparty sectors and subsectors are calculated by deflating the current price estimates using the CPI Trimmed mean. Previously these estimates were calculated using the All groups CPI.
Table 9.22 prior to 04/03/2024 update
Item |
Comment |
|
---|---|---|
Current prices | ||
Output | ||
Balance sheet, income and expenditure and interest rate information are used to compile the output for pension funds (superannuation), life insurance corporations (including friendly societies) and non-life (general) insurance corporations. The following outlines the data sources used to estimate the various components of output: Balance sheets:
Income and expenditure:
Output is calculated as: Insurance service charge (ISC) The following adjustment is also included to obtain output:
|
||
Insurance service charge | ||
Non-life insurance corporations – estimated as premiums earned plus investment income on the technical reserves less expected claims:
Life insurance corporations – the sum of administrative costs incurred (including investment and labour costs) plus a profit margin; the profit margins is calculated by estimating a proxy return on equity. Pension funds – the sum of administrative costs incurred (including investment and labour costs). |
||
Explicit charges | ||
Described in Table 11.7 | ||
Gross non-land rent | ||
Described in Table 11.7. It is assumed to be applicable only to commercial buildings and infrastructure. | ||
Output – product level | ||
Product level estimates for insurance services are obtained directly or modelled using the source data outlined above. | ||
Intermediate use | ||
Is derived residually from output at basic prices minus industry value added. | ||
Gross value added | ||
Sum of gross operating surplus, compensation of employees and other taxes less subsidies on production for the Insurance Industry. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey is the main data source used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. The following adjustments are also included to obtain output:
|
||
Output – product level | ||
Industry ANZSIC subdivision product estimates for primary and secondary product production are modelled by using directly measured product levels from Economic Activity Survey, and periodic industry surveys. | ||
Intermediate use | ||
The Economic Activity Survey is the main data source used to derive intermediate use. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. The following adjustments are also included to obtain intermediate use:
|
||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey and Government Finance Statistics are the main data sources used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. Government Finance Statistics data relating to gross expenditure by government classified according to function or purpose are used to derive government output by industry. Function or purpose categories are used as a proxy for both product and industry, with ratios derived from historical input and output data used to allocate each category to product. Primary products are aggregated to derive industry data. The following adjustments are also included to obtain output:
| ||
Output – product level | ||
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. | ||
Intermediate use | ||
The Economic Activity Survey is the main data source used to derive intermediate use. General government intermediate use is derived residually with the components coming from various sources; namely, the Survey of Employment and Earnings, Government Finance Statistics and the Perpetual Inventory Method. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. General government intermediate use is included and is derived as the general government estimates for gross output less compensation of employees less consumption of fixed capital. The following adjustments are also included to obtain intermediate use:
| ||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey and Government Finance Statistics are the main data sources used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. Non-market output is measured as the costs of producing outputs including compensation of employees, the cost of purchased goods and services used in production, other taxes (less subsidies) on production and consumption of fixed capital. It is derived for general government and NPISH units. Government Finance Statistics data relating to gross expenditure by government classified according to function or purpose are used to derive government output by industry. Function or purpose categories are used as a proxy for both product and industry, with ratios derived from historical input and output data used to allocate each category to product. Primary products are aggregated to derive industry data. The following adjustments are also included to obtain output:
| ||
Output – product level | ||
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, case study information, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. | ||
Intermediate use | ||
The Economic Activity Survey is the main data source used to derive intermediate use. General government intermediate use is derived residually with the components coming from various sources; namely, the Survey of Employment and Earnings, Government Finance Statistics and the Perpetual Inventory Method. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. General government intermediate use is included and is derived as the general government estimates for gross output less compensation of employees less consumption of fixed capital. The following adjustments are also included to obtain intermediate use:
| ||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey and Government Finance Statistics are the main data sources used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. Non-market output is measured as the costs of producing outputs including compensation of employees, the cost of purchased goods and services used in production, other taxes (less subsidies) on production and consumption of fixed capital. It is derived for general government and NPISH units. Government Finance Statistics data relating to gross expenditure by government classified according to function or purpose are used to derive government output by industry. Function or purpose categories are used as a proxy for both product and industry, with ratios derived from historical input and output data used to allocate each category to product. Primary products are aggregated to derive industry data. The following adjustments are also included to obtain output:
| ||
Output – product level | ||
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. | ||
Intermediate use | ||
The Economic Activity Survey is the main data source used to derive intermediate use. General government intermediate use is derived residually with the components coming from various sources; namely, the Survey of Employment and Earnings, Government Finance Statistics and the Perpetual Inventory Method. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. General government intermediate use is included and is derived as the general government estimates for gross output less compensation of employees less consumption of fixed capital. The following adjustments are also included to obtain intermediate use:
| ||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey and Government Finance Statistics are the main data sources used to derive output. Gross expenditure data taken from Government Finance Statistics, from which industry based data, are derived using a set of proportions derived from historical input and output data and with no secondary production assumed. Government Finance Statistics data are also adjusted to include national accounts data for FISIM, artistic originals and consumption of fixed capital. A consolidation adjustment for payroll tax is also included. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for output of Investigation and security services (ANZSIC Class 7712). The following adjustments are also included to obtain output:
|
||
Output – product level | ||
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. | ||
Intermediate use | ||
Output minus total primary inputs (i.e. compensation of employees, gross operating surplus and other taxes less subsidies on production). Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for units classified to Investigation and security services (ANZSIC Class 7712). |
||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The main data sources used to derive output are Government Finance Statistics, the Australian Curriculum, Assessment and Reporting Authority (ACARA) and Economic Activity Survey. Non-market output is measured as the costs of producing outputs including compensation of employees, the cost of purchased goods and services used in production, other taxes (less subsidies) on production and consumption of fixed capital. It is derived for general government and NPISH units. General government output is the most significant component of output for this industry. Government Finance Statistics data relating to gross expenditure by government classified according to function or purpose are used to derive government output by industry. Function or purpose categories are used as a proxy for both product and industry, with ratios derived from historical input and output data used to allocate each category to product. Primary products are aggregated to derive industry data. Market output is estimated separately to the costs of production and final consumption. It is based on the primary incomes received by household institutional units and non-financial corporations. ACARA data relating to income from recurrent government funding and sales of goods and services are used to derive market output for non-government primary, secondary and special schools. EAS data relating to sales of goods and services plus changes in inventories of finished goods and work-in-progress are used to derive market output for household institutional units and non-financial corporations other than non-government schools. GFS and EAS data are used to derive output for preschools. The following adjustments are also included to obtain output:
| ||
Output – product level | ||
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. ACARA data has been used to derive the output of primary, secondary and special schools in the non-government sector from 2009-10 onwards. | ||
Intermediate use | ||
The Economic Activity Survey is the main data source used to derive intermediate use. General government intermediate use is derived residually with the components coming from various sources; namely, the Survey of Employment and Earnings, Government Finance Statistics and the Perpetual Inventory Method. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. General government intermediate use is derived as the general government estimates for gross output less compensation of employees less consumption of fixed capital. The following adjustments are also included to obtain intermediate use:
| ||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using individual volume indexes for primary and secondary schools, higher education and vocational education and training (VET). Three of the four indexes are cost-weighted, requiring a quantity indicator and a corresponding indicator to capture the cost of production. Schools: The quantity indicator for the schools indexes is the total number of students at primary and secondary schools measured on a full-time equivalent basis. Production costs represent the expenses incurred by both private and government schools. Net recurrent income is used to create state and territory weights that are applied to national totals from the Economic Activity Survey and Government Finance Statistics. The final outputs are separate Laspeyres indexes for primary and secondary education, with data for combined schools incorporated into both indexes using weights derived from ACARA data. Student numbers are sourced from the ABS publication, Schools, Australia; enrolments and net recurrent income from the Australian Curriculum and Reporting Authority. Data from the Economic Activity Survey and Government Finance Statistics are used for expenses. Higher education: The cost-weighted volume index for higher education integrates three streams of output: teaching, research degree completions and research funded by government and industry. The quantity indicator is the total number of students at universities measured on a full-time equivalent basis, sourced from the Commonwealth Department of Education. Production costs or expenses incurred by universities are sourced from the financial reports of higher education providers available on the department’s website. Data for research income is also available from the same website. Vocational education and training: The volume index for vocational education and training is not cost-weighted. It is based on the change in hours of delivery from the National Centre for Vocational Education Research (NCVER) for vocational students for government and non-government VET. Adult, community and other education: Volume estimates are derived for adult, community and other education by deflating the current price estimates using the CPI for Total Education. |
Changes made to to Table 9.29 Annual gross value added by industry - Education and training (ANZSIC Division P)
From 04/03/2024,
The main data sources used to derive output are Government Finance Statistics, the Australian Curriculum, Assessment and Reporting Authority (ACARA) and Economic Activity Survey.
Current prices
ACARA data relating to income from recurrent government funding and sales of goods and services are used to derive market output for non-government primary, secondary and special schools. EAS data relating to sales of goods and services plus changes in inventories of finished goods and work-in-progress are used to derive market output for household institutional units and non-financial corporations other than non-government schools.
Volume measures
Derived using individual volume indexes for primary and secondary schools, higher education and vocational education and training (VET). Previously this measure was derived using the output volume method for non-market producers.
Table 9.29 prior to 04/03/2024 update
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The industry output consists of significant amounts of both private and public output. The industry output is measured by the demand side approach which sums the intermediate consumption of health and social assistance related products and final demand (i.e. final consumption expenditure, and exports less imports). These are sourced from the Economic Activity Survey; Government Finance Statistics; Household Expenditure Survey; and Pharmaceutical Benefits Scheme (PBS) data from the Commonwealth Department of Health and Aged Care. The private sector output estimates are based on household final consumption expenditure, intermediate consumption and exports and imports of health care and social assistance related products. The public sector output estimates are based on the costs of production recorded for government final consumption expenditure on health care and social assistance related products, but before any receipts from sales are netted off. The following adjustment is also included to obtain output:
| ||
Output – product level | ||
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, case study information, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. | ||
Intermediate use | ||
Output minus total primary inputs (i.e. compensation of employees, gross operating surplus and other taxes less subsidies on production). | ||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the direct volume index approach for public and private hospitals, and the output volume method for non-market producers providing non-hospital services. Hospital services are provided to both admitted and non-admitted patients, as well as through different settings such as emergency departments. The number of hospital separations, emergency presentations and non-admitted events are used as quantity indicators; volume indexes are constructed for admitted patient care, emergency departments and non-admitted patient care services using average costs for weights. Weights for aggregation are sourced from the Australian Institute of Health and Welfare (AIHW), Government Finance Statistics and Economic Activity Survey. They are used to construct volume indexes for private, public and total hospitals. Other data are sourced from AIHW and the Independent Health and Aged Care Pricing Authority (IHACPA). The output volume method for non-hospital services is based on the number of non-hospital services provided, stratified at various levels of procedure type, and weighted together by their respective current price value of expenditures. Data are sourced from Medicare, the Private Health Insurance Administration Council and the Productivity Commission (PC) Report on Government Services. |
Changes made to Table 9.30 Annual gross value added by industry - Health care and social assistance (ANZSIC Division Q)
From 04/03/2024,
Volume measures are derived using the direct volume index approach for public and private hospitals, and the output volume method for non-market producers providing non-hospital services. Previously these measures were derived using the output volume method only.
Direct volume index approach
The number of hospital separations, emergency presentations and non-admitted events are used as quantity indicators; volume indexes are constructed for admitted patient care, emergency departments and non-admitted patient care services using average costs for weights. Weights for aggregation are sourced from the Australian Institute of Health and Welfare (AIHW), Government Finance Statistics and Economic Activity Survey. They are used to construct volume indexes for private, public and total hospitals. Previously this data was sourced from AIHW only.
From 28/10/2024,
Current prices
Output
References to the Department of Health have been changed to Department of Health and Aged Care. This reflects current administrative arrangements.
Table 9.30 prior to 04/03/2024 update
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey, Government Finance Statistics and components of total use are the main data sources used to derive output. Market output is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. Non-market output is measured as the costs of producing outputs including compensation of employees, the cost of purchased goods and services used in production, other taxes (less subsidies) on production and consumption of fixed capital. It is derived for general government and NPISH units. Gambling activity output is calculated by adding household final consumption expenditure, government final consumption expenditure and exports and subtracting imports and taxes on products. Government Finance Statistics data relating to gross expenditure by government classified according to function or purpose are used to derive government output by industry. Function or purpose categories are used as a proxy for both product and industry, with ratios derived from historical input and output data used to allocate each category to product. Primary products are aggregated to derive industry data. The following adjustments are also included to obtain output:
| ||
Output – product level | ||
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. | ||
Intermediate use | ||
The Economic Activity Survey is the main data source used to derive intermediate use. General government intermediate use is derived residually with the components coming from various sources; namely, the Survey of Employment and Earnings, Government Finance Statistics and the Perpetual Inventory Method. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. Intermediate use for gambling services, however, is derived as output minus total primary inputs (i.e. compensation of employees, gross operating surplus and other taxes less subsidies on production). General government intermediate use is included and is derived as the general government estimates for gross output less compensation of employees less consumption of fixed capital. The following adjustments are also included to obtain intermediate use:
| ||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The Economic Activity Survey, Government Finance Statistics and components of total use are the main data sources used to derive output. Output for personal and other services is derived using the demand side compilation method as opposed to supply side. Output is estimated as the sum of intermediate use and final use (i.e. household and government final consumption expenditures, exports less imports) less taxes on those products primary to the industry. Market output for repairs and maintenance services is measured as sales of goods and services plus changes in inventories of finished goods and work-in-progress. It is derived for non-financial corporations and household institutional units. The following adjustments are also included to obtain output:
|
||
Output – product level | ||
Product estimates for both primary and secondary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, extrapolated estimates based on the previous year's estimates, the distribution from the latest Input-Output tables and the assumption that the products produced are primary to activities of the ANZSIC class reporting the activity. | ||
Intermediate use | ||
The Economic Activity Survey and Government Finance Statistics are the main data sources used to derive intermediate use. Intermediate use consists of the value of goods and services consumed as inputs in the production of output. It is derived for non-financial corporations, households and NPISH units. General government intermediate use is included for funeral and parking services and is derived as the general government estimates for gross output less compensation of employees less consumption of fixed capital. The following adjustments are also included to obtain intermediate use:
|
||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Item | Comment | |
---|---|---|
Current prices | ||
Output | ||
The components of final use are the main data sources used to derive output. Estimates of the output are derived using a demand side method. The household final consumption expenditure as derived from the actual rents model is combined with government final consumption expenditure, minus imports, plus exports, minus taxes less subsidies on products to form total industry output. | ||
Output – product level | ||
Product estimates for primary production at the industry level are modelled based on a variety of sources. These sources include, but are not restricted to, the distribution from the latest Input-Output tables and the ABS publication, Tourist Accommodation, Australia (for long-term caravan parks); and the assumption that the products produced are primary to activities of the ownership of dwellings industry. Output is disaggregated by actual rent for housing and imputed rent for owner-occupiers. These components are benchmarked using data from the latest Census of Population and Housing and is moved forward using quarterly indicators, such as dwelling information from the Building Activity Survey and rental growth from the Consumer Price Index (CPI). | ||
Intermediate use | ||
Intermediate use for the ownership of dwellings industry includes the following components:
Repairs and maintenance are benchmarked using data from the ABS Household Expenditure Survey. The benchmarks are extrapolated using a combined indicator based on the estimated number of dwellings (the same estimate as used to estimate total dwelling rent) and movements in appropriate component price indexes from the Consumer Price Index (CPI). In this context repairs and maintenance cover the actual repairs to the dwelling and preventative maintenance such as painting internal and external surfaces. However, purchases of goods and services associated with cleaning a dwelling are not included (they are recorded as part of household final consumption expenditure). Estimates for building insurance service charges (premiums plus premium supplements less expected claims) are derived from annual data published by the Australian Prudential Regulatory Authority (APRA). FISIM is the imputed financial service charge component of interest payable on loans used to finance the purchase of dwellings owned by persons. Estimates are derived from data published by APRA. The derivation of FISIM estimates is described in Table 9.21 ANNUAL GROSS VALUE ADDED BY INDUSTRY— Finance (ANZSIC Subdivision 62). Estimates for real estate agents' management fees are derived using data from the most recent Census of Population and Housing to estimate the proportion of actual rent controlled by real estate agents, extrapolated by number of dwellings for non-census years. This proportion is applied to actual rent and multiplied by the average commission rate for each state. Estimates for loan application fees for loans from financial corporations to purchase dwellings are derived from sum of direct charges associated with dwellings which are obtained from Australian Prudential Regulatory Authority. | ||
Intermediate use - product level | ||
Intermediate use is disaggregated by actual and imputed rent using a variety of data sources.
| ||
Gross value added | ||
Output less intermediate use. | ||
Volume measures | ||
Derived using the double deflation method for value added. The first preliminary estimate is confronted with the sum of the four quarters volume estimate published in Australian National Accounts: National Income, Expenditure and Product. |
Changes made to Table 9.33 Annual gross value added by industry - Ownership of dwellings
From 04/03/2024,
Current prices
Output - product level is disaggregated by actual rent for housing and imputed rent for owner-occupiers. These components are benchmarked using data from the latest Census of Population and Housing, and are moved forward using quarterly indicators, such as dwelling information from the Building Activity Survey and rental growth from the Consumer Price Index (CPI).
Intermediate use no longer uses the series on Metropolitan and municipal improvement rates from the Government Finance Statistics to extrapolate the repairs and maintenance benchmarks.
Intermediate use - product level is disaggregated by actual and imputed rent using a variety of data sources.
Table 9.33 prior to 04/03/2024
Latest year
9.87 For all industries, except agriculture, finance services and insurance services, annual GDP(P) for the latest year (i.e. the year beyond the S-U period) is derived by aggregating the quarterly data previously derived, using largely the same set of sources and methods as those used to derive quarterly gross value added estimates.
9.88 For the latest year, volume estimates for the Agriculture industry (ANZSIC Subdivision 01) are obtained by double deflation.
9.89 For the latest year, chain volume estimates of FISIM for Finance (ANZSIC Subdivision 62) are produced using data sources and methodology as described for the annual benchmarks and used as an annual indicator series to move forward the benchmark volume estimate for gross value added for Finance.
9.90 For the latest year, current price estimates of total output for Insurance (ANZSIC Subdivision 63) are produced using data sources and methodology as described for the annual benchmarks. The current price annual insurance output is deflated by the all groups consumer price index (CPI) to produce an annual chain volume indicator series for insurance which is then used to move forward the benchmark for gross value added for Insurance.
Sources and methods - Quarterly
9.91 Gross value added in chain volume measures are derived by interpolating and extrapolating annual benchmarks using quarterly indicator series. Both the annual benchmarks and the quarterly indicators are calculated as chain volume measures.
9.92 Quarterly chain volume indicators of gross value added in the ASNA are derived using three different methods:
- the output indicator method;
- double deflation; and
- the input indicator method.
9.93 The method selected to obtain chain volume measures for a particular industry depends on the data available in respect of that industry. The most commonly used method is the output indicator method. However, Agriculture uses the double deflation method. The input indicator method involves extrapolation using a measure of labour input such as hours worked and is used to obtain estimates for the Public administration and safety industry.
9.94 The use of output or input indicator methods is based on the implicit assumption that movements in output and intermediate use are consistent with each other. Whilst this is almost certainly not the case in practice, the assumption is made owing to limitations of quarterly source data as well as the time available for compilation and editing. Double deflation is applied to Agriculture as prices and volumes for both agricultural inputs and outputs can be highly volatile. This level of volatility does not exist for other industries and, while it is arguable that quarterly double deflation would improve the estimates of GDP(P) for other selected industries, it is not clear the improvement would be significant.
9.95 The output indicator method is the most commonly used by the ABS. It involves extrapolating reference year estimates of current price gross value-added using movements in a volume indicator of output. It assumes that the ratio of gross output volumes to intermediate input volumes remains constant over time. In a few cases the output indicator is just a single statistic, but in most cases, it is a combination of several statistics. In no cases do these output statistics precisely meet the national accounts definition of output, but in most cases, they approximate the national accounts definition reasonably closely. In some cases, the output statistics are merely highly correlated with the national accounts definition of output, as when turnover data are used as the output indicator for wholesale and retail trade. The principal output of these industries is their margin on the goods they sell (the margin is the difference between the price at which goods are sold and the price at which those goods are bought by the wholesaler or retailer). When a margin volume is estimated using a turnover volume as the indicator, the underlying assumption is that the ratio of the margin to the turnover volume is fixed over time.
9.96 Most industries produce many different commodities, and the ratio of output to value added can differ appreciably between industries and over time. Hence, in constructing a composite output indicator to be used as an indicator of growth in real value added, it is best for the constituent output statistics to be weighted together using current price value added data, and for re-weighting to occur as frequently as possible. The availability of current price value added data varies considerably between industries.
9.97 The volume estimates of gross value added for each industry are derived in the prices of the previous year. Chaining takes place after aggregation.
9.98 Quarterly current price sales data reported by survey respondents are aligned to concepts embedded in the Australian equivalents to International Financial Reporting Standards (AIFRS), net of the Goods and Services Tax (GST), and net of any discounts provided. In addition to income from sales of physical goods, sales estimates include sales of services, including consulting services, income from exports, income from leasing and hiring, income from contracts and commissions, sponsorship income, management fees and charges, income from operating leases, delivery charges, income from royalties pertaining to original artistic works, and billed progress payments from long-term contractual arrangements. They exclude items such as interest income, sales of assets, income from finance leases, payments under hire purchase arrangements, and royalties received in respect of natural resource ownership.
9.99 Inventories are also recorded according to AIFRS, and are closing book values, exclusive of GST, measured before deduction of provisions for losses. These also cover domestic activity only, and are collected according to three categories:
- Inventories of raw materials – this includes materials and fuels designed to be consumed in productive activities, non-capitalised spare parts designated for use in fixed assets, and containers and packaging materials. Inventories of fuels for sale are excluded (these are classified as inventories of finished goods).
- Inventories of work-in-progress – this includes partially processed or fabricated goods which will be further processed prior to sale, and general work-in-progress less payments billed. Prepayments are excluded.
- Inventories of finished goods – this includes goods manufactured or processed which are ready for sale, goods purchased from other businesses which are ready for resale without further processing, and fuels for sale. Hired goods, inventories of land, and rented or leased buildings are excluded.
9.100 For many industries, quarterly industry gross value added is estimated in the latest year by making two assumptions: firstly, that sales growth is a proxy for output growth (in the case of manufacturing, growth in sales plus change in inventories (excluding raw materials) is a proxy for output growth), and that, if we assume movements in output and intermediate consumption are consistent with each other, that output growth is a proxy for growth in gross value added. This is the essence of the output indicator method.
9.101 Ideally, output growth would be better approximated by sales growth plus change in inventories (excluding raw materials) for all industries relying on QBIS data. However, change in inventories is only included for the derivation of estimates for manufacturing. See Table 9.44 for the rationale.
9.102 The tables below outline the data sources and methods used in the extrapolation of quarterly gross value added chain volume estimates by industry from the balanced annual supply-use data, as well as the quarterly distribution of annual supply-use estimates.
Item | Comment | ||
---|---|---|---|
Gross Output | |||
Intermediate use | |||
General | |||
Updating of source data: Annual data from the ABARES publication, Agricultural Commodities are revised during the March quarter with the release of the ABS publication, Value of Agricultural Commodities Produced, Australia. During this process, the new farm forecast for the current year provided by the Australian Bureau of Agricultural and Resource Economics and Sciences is incorporated into the time series. Quarterly apportionment of annual data: Annual data are split across the four quarters using weights that reflect the estimated production of that commodity throughout the year; for example, wheat is harvested in December and March quarters, not in June or September quarters. For some commodities quarterly data sources are available, including: sheep, lambs, cattle, calves, pigs, poultry, goats, milk, and wool. | |||
Livestock | |||
Sheep, lambs, cattle & calves | |||
Gross value of production for sheep, lambs, cattle and calves is estimated using price and quantity data from the ABS publication, Value of Agricultural Commodities Produced, Australia, supplemented by annual data from the ABARES publication, Agricultural Commodities publication, and quarterly data from the ABS publication, Livestock Products, Australia. | |||
Pigs, deer, poultry for slaughtering and egg laying hens | |||
Gross value of production for pigs, deer, poultry for slaughtering and egg laying hens is estimated using price and quantity data from the ABS publication, Value of Agricultural Commodities Produced, Australia, supplemented by annual data from the ABARES publication, Agricultural Commodities and quarterly data from the ABS publication, Livestock Products, Australia. | |||
Pets and live animals n.e.c. | |||
Gross value of production for pets and live animals n.e.c. is estimated using price and quantity data from the ABS publication, Value of Agricultural Commodities Produced, Australia, supplemented by annual data from the ABARES publication, Agricultural Commodities, and quarterly data from the ABS publication, Livestock Products, Australia. | |||
Milk, eggs and honey | |||
Milk | |||
Gross value of production for milk is estimated using price and quantity data from the ABS publication, Value of Agricultural Commodities Produced, Australia, supplemented by annual data from the ABARES publication, Agricultural Commodities and monthly quantity data from Dairy Australia, Milk Production Reports. | |||
Eggs and honey | |||
Gross value of production for eggs is estimated using price and quantity data from the ABS publication, Value of Agricultural Commodities Produced, Australia, supplemented by annual data from the ABARES publication, Agricultural Commodities. Data for honey is no longer available in ABS cited above; ABARES estimates are used instead. | |||
Grains | |||
Wheat | |||
Gross value of production for wheat is estimated using price and quantity data from the ABS publication, Value of Agricultural Commodities Produced, Australia, supplemented by annual data from the ABARES publication, Agricultural Commodities. | |||
Barley, oats, rice, sorghum & cereal grains n.e.c. | |||
Gross value of production for barley, oats, rice, sorghum and cereal grains n.e.c. is estimated using price and quantity data from the ABS publication, Value of Agricultural Commodities Produced, Australia, supplemented by annual data from the ABARES publication, Agricultural Commodities. | |||
Other grains n.e.c. | |||
Gross value of production for other grains n.e.c. is estimated using price and quantity data from the ABS publication, Value of Agricultural Commodities Produced, Australia, supplemented by annual data from the ABARES publication, Agricultural Commodities. | |||
Total other crops | |||
Fodder & grass | |||
Gross value of production for fodder and grass is estimated using price and quantity data from the ABS publication, Value of Agricultural Commodities Produced, Australia, supplemented by annual data from the ABARES publication, Agricultural Commodities. | |||
Plants & flowers | |||
Gross value of production for plants and flowers is estimated using price and quantity data from the ABS publication, Value of Agricultural Commodities Produced, Australia, supplemented by annual data from the ABARES publication, Agricultural Commodities. | |||
Fruit, nuts & vegetables | |||
Gross value of production for fruits, nuts and vegetables is estimated using price and quantity data from the ABS publication, Value of Agricultural Commodities Produced, Australia, supplemented by annual data from the ABARES publication, Agricultural Commodities. | |||
Sugar cane | |||
Gross value of production for sugar cane is estimated using price and quantity data from the ABS publication, Value of Agricultural Commodities Produced, Australia, supplemented by annual data from the ABARES publication, Agricultural Commodities. | |||
Other agriculture (includes cotton, wine grapes, hops and tobacco output (Note: tobacco production ceased in Australia in 2006-07)) | |||
Gross value of production for other agriculture is estimated using price and quantity data from the ABS publication, Value of Agricultural Commodities Produced, Australia, supplemented by annual data from the ABARES publication, Agricultural Commodities. | |||
Miscellaneous agriculture | |||
Sheep & beef cattle agistment services | |||
Gross value of production for sheep and beef cattle agistment services is derived using the gross value of production of sheep, lambs, cattle and calves. | |||
Livestock products n.e.c., horse agistment services | |||
Gross value of production for livestock products n.e.c. and horse agistment services is estimated using price and quantity data published in the ABARES publication, Agricultural Commodities. | |||
Non-agricultural products (production which is secondary to agriculture) | |||
Gross value of Agriculture industry production for non-agricultural products (e.g. maintenance of farm infrastructure such as barns and fences, on-farm meat processing, road freight transport etc.) is derived from the growth in the value of total agricultural production. | |||
Marketing costs | |||
Wheat | |||
Marketing costs are derived from the ABS publication, Value of Agricultural Commodities Produced, Australia supplemented by annual data from ABARES publication, Agricultural Commodities. They are calculated by taking the local value of production of wheat from the gross value of production. | |||
All other | |||
Marketing costs are derived from the ABS publication, Value of Agricultural Commodities Produced, Australia supplemented by annual data from ABARES publication, Agricultural Commodities. They are calculated by taking the local value of production for a commodity from the gross value of production. | |||
Seed & fodder | |||
Seed costs are derived using data from ABARES publication, Agricultural Commodities, for area sown multiplied by corresponding seeding rates multiplied by the price per tonne. Fodder costs are derived as a residual after deducting the value of exports and non-fodder uses for these products from the gross value of production. | |||
Other input costs | |||
Historical data for farm costs such as chemicals, electricity, fuel and maintenance are moved forward using data from the ABARES publication, Agricultural Commodities. These data were originally collected in the ABS Agricultural Finance Survey (AFS), but this collection ceased in 2001. |
Item | Comment | |
---|---|---|
Gross value added | ||
The double deflation method is used. Prior to chaining, volume measures of output and intermediate use in the prices of the previous year are derived, as described below, with the difference between the two components being the gross value-added volume. | ||
Gross output | ||
Volume measures of output in the prices of the previous year for most commodities are derived by quantity revaluation. Volume measures of output in the prices of the previous year for the remaining commodities are derived by deflation using implicit price deflators obtained for similar commodities. | ||
Intermediate use | ||
The sum of marketing costs, fodder, seed, fertiliser and other intermediate inputs (fuel, maintenance of plant and structures, chemicals, insurance, etc.), as described below. | ||
Marketing costs | ||
Volume estimates in the prices of the previous year are derived for 13 commodity groups by using chain volume measures of the output of each group to extrapolate the previous year's current price value and then summing the results. | ||
Fodder & seed | ||
Components are re-valued using price indexes derived from unit price data which have been adjusted in some cases to allow for timing differences between production of the commodities and their use as fodder or seed. | ||
Other intermediate inputs | ||
Fertiliser volume estimates in the prices of the previous year are derived by quantity revaluation. For other components, current price estimates are re-valued using the relevant component indexes from Index of Prices Paid by Farmers in the ABARES publication, Agricultural Commodities. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by linear trend interpolation of annual estimates. Annual volume estimates are obtained by quantity revaluation of the major commodities using quantity data from Agricultural Commodities published by the Australian Bureau of Agricultural and Resource Economics and Sciences. Note that commercial fishing activities reflect only part of ANZSIC Subdivision 04. There is no quarterly data source to reflect the remainder of this ANZSIC subdivision; that is, hunting and trapping. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by linear trend interpolation of annual estimates. Annual volume estimates in the prices of the previous year are derived by quantity revaluation using current price gross value of production and production quantities for total softwood and hardwood logs as published in ABARE's Agricultural Commodities. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by price deflation of current price values for cotton ginning, shearing and other services. Shearing current price values are estimated using quarterly estimates of the value of shorn wool production. Cotton ginning and other services are estimated using annual production values for cotton and total farm production, respectively, from the ABARES publication, Agricultural Commodities. These are then averaged across the four quarters of the year to derive the quarterly current price values. Cotton ginning and shearing price indexes are based on the hourly wage rates while the other services price deflator is the All groups CPI. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. A quarterly output indicator is production tonnage collected on the ABS Supplementary Survey of Mining Inventories and Production Volumes. Prior to September quarter 2019, coal volume measures were estimated using production values from the Department of Industry, Science and Resources. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. The primary data source is monthly production volumes of oil and gas, published by the Department of Industry, Science and Resources in the publication, Australian Petroleum Statistics. The specific output indicators used are (a) total crude oil and condensate, in megalitres; (b) ethane, in millions of cubic metres; and (c) natural gas, in millions of cubic metres. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. The Department of Industry, Science and Resources provides quarterly production estimates of copper (kilotonnes), nickel (kilotonnes), zinc (kilotonnes) and gold (tonnes) produced. These estimates are preliminary and unpublished at the time the quarterly national accounts are compiled, but are subsequently published by the department in Resources and Energy Statistics. Revisions to the published data are subsequently incorporated into the quarterly national accounts. The DISR publication, Resources and Energy Statistics provides the output indicator data for other commodities such as bauxite, alumina, tin, silver, uranium and manganese, as well as mineral sands such as ilmenite, rutile and zircon. Data relating to these commodities are generally not available for the most recent quarter. A preliminary estimate for the current quarter is generated for each of these commodities using a simple average of production for the same quarter in the recent past. These preliminary estimates are then replaced by data published by the department in the subsequent quarter. Revisions in the published data are also incorporated. Weights applied to each commodity within this industry are derived from the ABS publication, Australian Industry. ANZSIC classes not covered by an output indicator as described above are assumed to have the same quarterly growth rate as the classes that are measured. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. A quarterly output indicator is production tonnage collected on the ABS Supplementary Survey of Mining Inventories and Production Volumes. Prior to September quarter 2019, iron ore volume measures were estimated using production values from the Department of Industry, Science and Resources. |
Changes made to Tables 9.39-9.42
From 28/10/2024,
Gross value added
References to the Department of Industry, Science, Energy and Resources have been changed to Department of Industry, Science and Resources. This reflects current administrative arrangements.
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. This involves extrapolating the quarterly series by taking a chain volume measure of sales growth from Business Indicators: Australia, and applying the same level of growth to industry gross value added. This assumes that sales growth is a reliable proxy for output growth, and that growth in output and intermediate consumption occur at identical rates. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. This involves extrapolating the quarterly series by taking a chain volume measure of sales plus change in inventories (work-in-progress and finished goods) from Business Indicators: Australia and applying the same level of growth. This assumes that sales growth is a reliable proxy of output growth, and that growth in output and intermediate consumption occur at identical rates. The inclusion of change in inventories generates a more conceptually correct measure of output growth than just growth in sales. Change in inventories is only included in the quarterly output indicator for manufacturing because, for all other industries relying on Business Indicators: Australia, change in inventories is small when compared with sales volumes (and for most service industries, inventories of work-in-progress and finished goods are so insignificant they are not measured). |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. Volume measures, in the prices of the previous year, are obtained by revaluing quantity data for a range of petroleum and coal products, published by Department of Industry, Science, Energy and Resources in Australian Petroleum Statistics. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. Electricity produced in New South Wales, Victoria, Queensland, Tasmania, South Australia and Western Australia is obtained from the Australian Energy Market Operator (AEMO). Electricity produced in the ACT and NT is excluded from the indicator series, and therefore not reflected in the quarterly growth rates. These two jurisdictions comprise less than one per cent of national output, so that the extra effort to incorporate them would not result in materially improved statistical output. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. This involves extrapolating the quarterly series by taking a chain volume measure of sales growth from the Business Indicators: Australia, and applying the same level of growth to industry gross value added. This assumes that sales growth is a reliable proxy for output growth, and that growth in output and intermediate consumption occur at identical rates. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. The current price indicator series is quarterly sales revenue data for public authorities classified to the water services industry, sourced from the Government Finance Statistics collection. The indicator series is not published in its own right. The volume data are derived by deflating this current price data with the same deflator applied to Business Indicators: Australia sales for water services which is then chained. The reason QBIS data is not used to measure water services on a quarterly basis is that most water services units are classified to the public sector, and are therefore out of scope of Business Indicators: Australia. The choice to use Government Finance Statistics instead of Business Indicators: Australia means that any privately-owned water services units, such as regional irrigators, are not reflected in the quarterly growth rates. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. This involves extrapolating the quarterly series by taking a chain volume measure of sales growth from Business Indicators: Australia, and applying the same level of growth to industry gross value added. This assumes that sales growth is a reliable proxy for output growth, and that growth in output and intermediate consumption occur at identical rates. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. Volume measures of the value of work done for non-residential building construction and heavy and civil engineering construction are compiled using volume indicators sourced from ABS publications, Building Activity, Australia and Engineering Construction Activity, Australia, whereas residential building construction volume measures are compiled using volume indicators derived from private gross fixed capital formation. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. This involves extrapolating the quarterly series by taking a chain volume measure of sales growth from Business Indicators: Australia, and applying the same level of growth to industry gross value added. This assumes that sales growth is a reliable proxy for output growth, and that growth in output and intermediate consumption occur at identical rates. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. This involves extrapolating the quarterly series by taking a chain volume measure of sales growth from Business Indicators: Australia and applying the same level of growth. This assumes that sales growth is a reliable proxy of output growth, and that growth in output and intermediate consumption occur at identical rates. Measuring gross value added for the wholesale trade industry is problematic on a quarterly basis. Conceptually, output for the wholesale trade industry is equal to the margin between the value at which goods are acquired and at which goods are on-sold, after allowing for inventory valuation adjustments. However, there are no appropriate data sources for measuring wholesale trade margins on a quarterly basis. Additionally, to derive volumes of margins, price indexes which are directly applicable to measurement of change in margins would be required, but these also do not exist. In using Business Indicators: Australia, sales chain volume growth rates as an indicator of growth in gross value added, the additional assumption is made that margins volumes move in line with sales volumes. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. Estimates of growth in gross value added for motor vehicle retailing and fuel retailing are based on growth in current price expenditure data for purchase of vehicles, and operation of vehicles, by households. These are deflated and chained to create a chain volume indicator series. This assumes that growth in these household expenditure categories is a reliable proxy for output growth, and that growth in output and intermediate consumption occur at identical rates. Measuring gross value added for the Retail trade industry is problematic on a quarterly basis. Conceptually, output for the Retail trade industry is equal to the margin between the value at which goods are acquired and at which goods are on-sold, after allowing for inventory valuation adjustments. However, there are no appropriate data sources for measuring retail trade margins on a quarterly basis. Additionally, to derive volumes of margins, price indexes which are directly applicable to measurement of change in margins would be required, but these also do not exist. In using the household expenditure chain volume growth rates as an indicator of growth in gross value added for retail trade in motor vehicles, the additional assumption is made that margins volumes move in line with expenditure volumes. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. Estimates of growth in gross value added for these ANZSIC subdivisions are based on quarterly volume turnover growth rates published quarterly in the ABS publication, Retail Trade, Australia. This assumes that growth in these retail turnover categories is a reliable proxy for output growth, and that growth in output and intermediate consumption occur at identical rates. Measuring gross value added for the Retail trade industry is problematic on a quarterly basis. Conceptually, output for the Retail trade industry is equal to the margin between the value at which goods are acquired and at which goods are on-sold, after allowing for inventory valuation adjustments. However, there are no appropriate data sources for measuring retail trade margins on a quarterly basis. Additionally, to derive volumes of margins, price indexes which are directly applicable to measurement of change in margins would be required, but these also do not exist. In using the Retail Trade chain volume turnover growth rates as an indicator of growth in gross value added, the additional assumption is made that margins volumes move in line with turnover volumes. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. This involves extrapolating the quarterly series by taking a chain volume measure of sales growth from Business Indicators: Australia and applying the same level of growth to industry gross value added. This assumes that sales growth is a reliable proxy of output growth, and that growth in output and intermediate consumption occur at identical rates. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. This involves extrapolating the quarterly series by taking a chain volume measure of sales growth from Business Indicators: Australia, and applying the same level of growth to industry gross value added. This assumes that sales growth is a reliable proxy of output growth, and that growth in output and intermediate consumption occur at identical rates. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. Private sector activity is measured using sales data, in current and constant prices, from the Quarterly Business Indicators Survey. Public sector activity is measured using expenditure on rail fares as reflected in household final consumption expenditure, in current and constant prices. The current and constant price values for public and private are aggregated to form total current and constant price values for rail transport. These are then chained to form the indicator for the whole ANZSIC subdivision. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. A quarterly output indicator is compiled in-house, based on data from a survey of revenue passenger kilometres and freight tonne kilometres from the major domestic and Australian-based international airlines. The term revenue passenger kilometres is a measure of traffic and is derived by multiplying the number of revenue-paying passengers by distances travelled. Calculations are made by the providers. Revenue passenger kilometres is considered to be a more accurate volume estimator for output given it is a combined measure of distances travelled as well as passengers carried. The same measurement principle applies for deriving freight tonne kilometres. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. This involves extrapolating the quarterly series by taking a chain volume measure of sales growth from Business Indicators: Australia and applying the same level of growth to industry gross value added. This assumes that sales growth is a reliable proxy of output growth, and that growth in output and intermediate consumption occur at identical rates. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. Private sector activity (reflecting private courier services, etc.) is measured using the sales data from Business Indicators: Australia, in current and constant prices. Public sector activity is measured using a variety of indicator data from providers on sales revenue in current prices, as well as quantities of letters and parcels carried. The current and constant price values for public and private are aggregated to form total current and constant price values for this ANZSIC subdivision. These are then chained to form the indicator for the whole subdivision. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. This involves extrapolating the quarterly series by taking a chain volume measure of sales growth from Business Indicators: Australia, and applying the same level of growth to industry gross value added. This assumes that sales growth is a reliable proxy of output growth, and that growth in output and intermediate consumption occur at identical rates. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. This involves extrapolating the quarterly series by taking a chain volume measure of sales growth from Business Indicators: Australia, and applying the same level of growth to industry gross value added. This assumes that sales growth is a reliable proxy of output growth, and that growth in output and intermediate consumption occur at identical rates. Telecommunications Services also includes quarterly sales revenue data from Government Finance Statistics. The volume data are derived by deflating the sales revenue data using price deflators. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. Chain volume measures for quarterly bank financial intermediation services indirectly measured (FISIM) are compiled using bank balance sheets; detailed breakdown for bank loans and deposits (Australian Prudential Regulatory Authority (APRA) Monthly Banking Statistics); income and expenditure (Suite of APRA forms - Quarterly Bank Performance Statistics); and indicator interest rates (RBA Statistical Bulletin). The methodology is the same as described for the annual benchmarks for FISIM. Chain volume estimates of bank FISIM are the quarterly indicator series for gross value added. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. Current price estimates of the Insurance service charge (ISC) are compiled as follows:
A weighted sum of the three components is derived to produce a quarterly current price indicator of the ISC. This is deflated using the All groups CPI index and chained to produce a chain volume series. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. This involves extrapolating the quarterly series by taking a chain volume measure of sales growth from Business Indicators: Australia, and applying the same level of growth to industry gross value added. This assumes that sales growth is a reliable proxy of output growth, and that growth in output and intermediate consumption occur at identical rates. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. This involves extrapolating the quarterly series by taking a chain volume measure of sales growth from Business Indicators: Australia, and applying the same level of growth to industry gross value added. This assumes that sales growth is a reliable proxy of output growth, and that growth in output and intermediate consumption occur at identical rates. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. This involves extrapolating the quarterly series by taking a chain volume measure of sales growth from Business Indicators: Australia, and applying the same level of growth to industry gross value added. This assumes that sales growth is a reliable proxy of output growth, and that growth in output and intermediate consumption occur at identical rates. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. This involves extrapolating the quarterly series by taking a chain volume measure of sales growth from Business Indicators: Australia, and applying the same level of growth to industry gross value added. This assumes that sales growth is a reliable proxy of output growth, and that growth in output and intermediate consumption occur at identical rates. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the input indicator method. The sales data from Business Indicators: Australia are not appropriate for measuring gross value added for division O because of the large proportion of non-market activity in this division. Aggregate hours worked in Division O, is the main data source. Defence is out of scope of the LFS so additional hours worked estimates for Defence are added to the LFS estimates to obtain total hours worked. |
Item | Comment |
---|---|
Gross value added | |
No appropriate quarterly indicator currently exists. Quarterly growth is estimated via linear trend interpolation of the annual estimates. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. Private sector activity is expenditure by households on private health services, excluding pharmaceuticals, sourced from the household final consumption expenditure dataset, re-expressed as a volume index. Public sector activity is captured through data received from Medicare Australia, which reflects health services classified by broad type of service. The number of the various services provided are weighted together to produce a total volume index. Public and private outputs are expressed as volume indexes because the units of measurement in the original source data are not consistent. The public sector data are derived from numbers of services performed whereas the private sector data uses dollar values of household expenditures as the starting point. These resulting volume indexes are re-weighted (approximately two-thirds public, one-third private) to derive a weighted volume index for the industry. This is then chained to create output in chain volume terms for the whole industry. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. Private sector activity is measured via the sales data from Business Indicators: Australia, in current and constant prices. Annual current price estimates for public sector expenditure on recreation and culture are obtained from Government Finance Statistics and re-valued by the implicit price deflator for non-defence government final consumption expenditure. Quarterly estimates are obtained by linear trend interpolation of the annual estimates. An adjustment was made for the one-off impact of the Sydney Olympic Games in 2000. Current and constant price estimates for the public and private sectors and for the Sydney Olympic Games are summed to form total current and constant price values for this division. These are then chained, with the resulting chain volume being the indicator for the whole industry. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. This involves extrapolating the quarterly series by taking a chain volume measure of sales growth from Business Indicators: Australia and applying the same level of growth to industry gross value added. This assumes that sales growth is a reliable proxy of output growth, and that growth in output and intermediate consumption occur at identical rates. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. The chain volume of the 'Rent and other dwelling services' component of household final consumption expenditure is the output indicator for Ownership of dwellings. |
Item | Comment |
---|---|
Gross value added | |
Quarterly volume measures are derived by the output indicator method. A range of individual taxes and subsidies on products is used to extrapolate supply-use benchmarks for taxes on products and subsidies on products. Taxes include the Goods and Services Tax (GST), gambling taxes, insurance taxes, excises on petroleum, import duties and tobacco and alcohol taxes. Subsidies include those payable under the Fuel Tax Credits scheme, as well as subsidies payable to bus, tram and rail operators. Current price estimates are sourced from the annual Government Finance Statistics dataset and are smoothed evenly across the four quarters of the year to which they relate. Constant price estimates are obtained from the quarterly household final consumption expenditure dataset, with the exception of import duties, which are mainly sourced from the International Trade in Goods and Services dataset. When calculating GST in constant prices, consumption categories which are exempt from GST (e.g. raw food) are excluded from the calculation. GST relating to the purchase of dwellings is included. Each individual type of tax and subsidy is quantity re-valued. The constant price measures for each tax and subsidy are aggregated allowing the creation of separate chain volume measures of taxes and subsidies. The constant price value for net taxes is derived by subtracting the constant price measure of subsidies from the constant price measure of taxes, and the result is chained to create the chained volume indicator series. |
9.103 Backcast quarterly gross value added chain volume estimates – prior to the period covered by annual supply-use benchmarks (i.e. June quarter 1994 and earlier) on an ANZSIC06 basis – are compiled by backcasting growth from the most applicable series under the previous ANZSIC93 industry classification.
Chapter 10 Gross Domestic Product – Expenditure approach (GDP(E))
10.1 GDP can be derived as the sum of all final expenditures, changes in inventories of finished goods, work-in-progress and raw materials, and the value of exports of goods and services less the value of imports of goods and services. In this context, final expenditures comprise final consumption expenditure and gross fixed capital formation (GFCF). These expenditures are equivalent to final demand and the measure is commonly referred to as GDP(E).
GDP(E) | = | Final consumption expenditure |
+ | Gross fixed capital formation | |
+ | Changes in inventories | |
+ | Net acquisitions of valuables (a) | |
+ | Exports | |
− | Imports |
(a) net acquisitions of valuables are not separately identified in the ASNA
Final consumption expenditure
10.2 Final consumption expenditure is expenditure on goods and services that are used for the direct satisfaction of individual or collective needs or wants. It excludes expenditure on fixed assets (including dwellings), valuables and other non-financial assets. In the ASNA it is defined as:
- the total value of all expenditures on individual and collective consumption goods and services incurred by resident households, resident non-profit institutions serving households (NPISHs) and general government units.
10.3 The main expenditure aggregates are:
- Household final consumption expenditure – consists of the expenditure, including imputed expenditure, incurred by households on individual consumption goods and services, including those sold at prices that are not economically significant;
- Final consumption expenditure of NPISHs – consists of expenditure, including imputed expenditure, incurred by resident NPISHs on individual and collective consumption goods and services (however, as NPISHs are not yet treated as a separate sector in the ASNA, their final consumption expenditure is included with that of households in household final consumption expenditure in the ASNA); and
- Government final consumption expenditure – consists of expenditure, including imputed expenditure, incurred by general government on both individual consumption goods and services and collective consumption services. This expenditure may be divided into:
- government expenditure on individual consumption goods and services; and
- government expenditure on collective consumption services.
10.4 The distinction between collective and individual consumption expenditure is of considerable importance in the SNA. Consumption expenditures by general government and NPISHs on behalf of households (their individual consumption expenditures) are undertaken for the purpose of making social transfers in kind. They cover the non-market output of both general government and NPISHs, which is delivered to households free or at prices that are not economically significant, as well as goods and services bought from market producers and provided to households free or at prices that are not economically significant. Social transfers in kind are recorded differently from other transfers in kind.
Individual goods or services
10.5 Individual goods and services are essentially 'private', as distinct from 'public' goods and services. They have the following characteristics:
- it must be possible to observe and record the acquisition of the good or service by an individual household or member thereof and also the time at which it took place;
- the household must have agreed to the provision of the good or service and taken whatever action is necessary to make it possible; for example, by attending a school or clinic; and
- the good or service must be such that its acquisition by one household or person, or possibly by a small, restricted group of persons, precludes its acquisition by other households or persons.
10.6 The reference to a small, restricted group of persons is needed because certain services are provided to small groups of people simultaneously; for example, several persons may travel in the same bus, train, ship or plane or attend the same class, lecture, concert or live theatre performance. However, these are still essentially individual services if there is a restriction on the number of individuals who can consume them. Other members of the community are excluded and derive no benefit from them.
10.7 From a welfare point-of-view, the important characteristic of an individual good or service is that its acquisition by one household, person or group of persons brings no (or very little) benefit to the rest of the community. While the provision of certain individual health or education services (for example, vaccination or immunisation) may bring some external benefits to the rest of the community, in general the individuals concerned derive the main benefit. Thus, when a government unit incurs expenditures on the provision of individual goods or services, it must decide not only how much to spend in total but how to allocate, or distribute, the goods or services among individual members of the community. From the point of view of economic and social policy, the way in which they are distributed may be as important as the total amount spent.
Collective services
10.8 Most goods can be privately owned and are individual in the sense used here. On the other hand, certain kinds of services can be provided collectively to the community as a whole. The characteristics of these collective services may be summarised as follows:
- collective services are delivered simultaneously to every member of the community or of particular sections of the community, such as those in a particular region of a locality (but not small, restricted groups);
- the use of such services is usually passive and does not require the explicit agreement or active participation of all the individuals concerned; and
- the provision of a collective service to one individual does not reduce the amount available to others in the same community or section of the community. There is no rivalry in acquisition
10.9 The collective services provided by government consist mostly of the provision of security and defence, the maintenance of law and order, legislation and regulation, the maintenance of public health, the protection of the environment, research and development, etc. All members of the community can benefit from such services. As the individual use of collective services cannot be recorded, individuals cannot be charged according to their use or the benefits they derive. There is no market to allocate collective services, and these services must be financed collectively, for example, out of taxation or other government revenues.
The borderline between individual and collective services
10.10 Expenditures incurred by governments at a national level in connection with individual services such as health and education are treated as collective when they are concerned with the formulation and administration of government policy, the setting and enforcement of public standards, the regulation, licensing or supervision of producers, etc. For example, the expenditures incurred by the departments of Education and Health and Aged Care at a national level are included in collective consumption expenditures as they are concerned with general matters of policy, standards and regulation. On the other hand, any overhead expenses connected with the administration or functioning of a group of hospitals, schools, colleges or similar institutions are included in individual expenditures. For example, if a group of private hospitals has a central unit which provides certain common services such as purchasing, laboratories, ambulances, or other facilities, the costs of these common services would be taken into account in the prices charged to patients. The same principle is followed when the hospitals are non-market producers: all the costs which are associated with the provision of services to particular individuals, including those of any central units providing common services, are to be included in the value of expenditures on individual services.
Non-market services to enterprises
10.11 Many government expenditures benefit enterprises as much as households; examples are expenditures on the cleaning, maintenance and repair of public roads, bridges, tunnels, etc. including the provision of street lighting. These are individual services for which consumption can be monitored, and for this reason they are frequently provided on a market basis by charging tolls on road usage. However, it would be difficult to separate the services provided free to households from those provided free to enterprises and, by convention, all these expenditures are treated as collective final expenditure.
10.12 Enterprises also benefit from a number of genuinely collective services such as the provision of security by the police, fire services, etc. The use of such collective services by individual enterprises cannot be recorded, so that expenditures on such services have to be treated as government final consumption expenditure.
Household final consumption expenditure
Concept
10.13 In the ASNA, household final consumption expenditure (HFCE) consists of expenditure by resident households on goods and services, whether the expenditure is made within the domestic territory or by Australian residents abroad, and expenditure by NPISHs.
10.14 Specific transactions in household final consumption expenditure include:
- the value of income received in kind by employees which is treated as simultaneously spent by the employees on final consumption expenditure;
- the value of goods produced by households for their own consumption, such as agricultural goods produced and consumed on the same farm, and 'backyard' production;
- FISIM, the service charge component of households' interest payments and receipts (however, FISIM attributed to unincorporated enterprises owned by households is classified as intermediate consumption of the unincorporated business);
- the service charge component of premiums paid for insurance and pension fund services; and
- the imputed value of the services of owner-occupied dwellings. The imputation of rent to owner-occupied dwellings enables the services provided by dwellings to their owner-occupiers to be treated consistently with the marketed services provided by rented dwellings to their tenants. This treatment is considered necessary because, if a large number of rented houses were sold to their occupiers and if estimates of imputed rent were not calculated for owner-occupied dwellings, there would be an apparent decrease in gross domestic product without any decrease in the provision of housing services. In effect, owner-occupiers (like other owners of dwellings) are regarded as operating businesses; they receive rents (from themselves as consumers), pay expenses, and make a net contribution to the value of production which accrues to them as owners.
10.15 Any expenditure undertaken for business purposes by unincorporated enterprises (which are part of the household sector) is treated as intermediate consumption expenditure of the unincorporated enterprise, and not part of household final consumption expenditure.
10.16 Expenditures on the purchase of dwellings are explicitly excluded from household final consumption expenditure because dwellings are goods used by owners to produce housing services for those owners. Purchases of dwellings therefore constitute gross fixed capital formation. Similarly, valuables should be excluded from household final consumption expenditure because they are not used up in consumption or production, nor do they deteriorate over time. Valuables are a store of value, and are classified as part of gross capital formation. In the ASNA, however, some expenditure on valuables may be included in HFCE as a separate estimate for valuables is not compiled.
10.17 Expenditures on licences to use or own vehicles, boats and aircraft, and fees for shooting, fishing and hunting permits are also excluded. These are treated as taxes rather than as payments for services. All other kinds of licences, permits, certificates, passports etc., are treated as purchases of services and included in household final consumption expenditure.
10.18 HFCE is a large aggregate covering a wide range of goods and services. It is therefore desirable to further dissect this item. The 2008 SNA (and 1993 SNA) proposes a 'functional' classification to identify the 'functions' – in the sense of 'purposes' or 'objectives' – for which households engage in these transactions. The Classification of Individual Consumption by Purpose (COICOP) is used to classify HFCE by purpose or function. The outlays covered include:
- expenditure on consumer durables such as cars, furniture and high-value, long-lasting household appliances (but excluding dwellings, which are regarded as the fixed assets of an 'industry');
- consumer semi-durables such as clothing and footwear, other appliances, and crockery and cutlery;
- single-use goods such as food, cigarettes and tobacco, and alcoholic drinks; and
-
services of all kinds such as hairdressing, dry cleaning and public transport.
10.19 COICOP provides for HFCE to be classified into the following major categories:
01 | Food and non-alcoholic beverages |
02 | Alcoholic beverages, tobacco and narcotics |
03 | Clothing and footwear |
04 | Housing, water, electricity, gas and other fuels |
05 | Furnishings, household equipment and routine maintenance of the house |
06 | Health |
07 | Transport |
08 | Communications |
09 | Recreation and culture |
10 | Education |
11 | Hotels, cafes and restaurants |
12 | Miscellaneous goods and services |
10.20 These major categories are further split into subcategories, with the following 17 headline COICOP categories published in original, seasonally adjusted, and trend terms:
01 | Food |
02.1 | Alcoholic beverages |
02.2 | Cigarettes and tobacco |
03 | Clothing and footwear |
04.1 | Rent and other dwelling services |
04.2 | Electricity, gas and other fuel |
05 | Furnishings and household equipment |
06 | Health |
07.1 | Purchase of vehicles |
07.2 | Operation of vehicles |
07.3 | Transport services |
08 | Communications |
09 | Recreation and culture |
10 | Education |
11 | Hotels, cafes and restaurants |
12.1 | Insurance and other financial services |
12.2 | Other goods and services |
10.21 In the ASNA the classification of HFCE is aligned, as far as possible, with COICOP. However, there are some instances where it is not yet possible for Australia to follow COICOP's recommendations. For example:
- ASNA does not include an estimate of HFCE on narcotics in COICOP Division 02 Alcoholic beverages, tobacco and narcotics, as reliable data on narcotics expenditure are not available.
- Expenditure on COICOP Group 09.6 (Package holidays) is not specifically identified in Australia's HFCE, but the components of package holidays (airfares, accommodation and food) are included in the corresponding major categories of HFCE.
- ASNA does not include an explicit estimate of HFCE on prostitution services in COICOP Group 12.1 (Personal care) as reliable data on such expenditure are not available.
10.22 The COICOP category for Maintenance and repair of the dwelling (Group 04.3) includes minor maintenance and repair of dwellings (e.g. interior decoration and repair to fittings which are commonly carried out by both tenants and owners) but excludes maintenance and repair which is major, such as replastering walls or repairing roofs, which are typically carried out by owners only. Such a distinction is consistent with 2008 SNA.⁴⁴ The ASNA deviates from the 2008 SNA recommendation and has excluded all maintenance and repair of dwellings from HFCE. Expenses associated with these activities are included as intermediate consumption of the Ownership of Dwellings industry and COICOP Group 04.3 is not included in HFCE in the ASNA.
10.23 The final consumption expenditure of NPISHs is included with that of households in the ASNA. 2008 SNA recommends that the final consumption of NPISHs should be classified according to the Classification of the Purposes of Non-Profit Institutions Serving Households (COPNI). The major divisions of COPNI are as follows:
01 | Housing |
02 | Health |
03 | Recreation and culture |
04 | Education |
05 | Social protection |
06 | Religion |
07 | Political parties, labour and professional organisations |
08 | Environmental protection |
09 | Services n.e.c. |
10.24 Consequently, in the ASNA, the final consumption expenditure of NPISHs is classified, as far as possible, to the corresponding category of HFCE. Specifically, expenditure by NPISHs on Health, Recreation and culture, and Education are classified to the corresponding categories of HFCE, while final consumption expenditure for the other divisions is classified to Other goods and services in HFCE. As data sources for estimating the final consumption expenditure of NPISHs are very limited, indirect means are generally employed to compile these estimates. It is often necessary to assume that the final consumption expenditure for NPISHs can be estimated as the sum of income transferred by households, corporations and general government in a period, less an allowance for net property income payments and capital formation.
Endnotes
Adjustments made to HFCE
10.25 The following outlines the adjustments that are made to some or all HFCE categories.
Net expenditure overseas
10.26 This item is included in HFCE COICOP categories 01-12 (excluding Water, electricity, gas and other fuels) as an adjustment so that total HFCE reflects the expenditure of resident households (in Australia and overseas) only. This adjustment is necessary because a number of the data sources for HFCE come from sales reported by Australian businesses. These sales include the expenditure by overseas visitors (treated as an export) and do not include expenditure of Australian overseas (recorded as an import). Expenditures by overseas visitors on fares, meals, accommodation, entertainment, recreation and other goods and services in Australia are deducted from the appropriate HFCE categories while expenditures by Australian residents abroad are added.
10.27 HFCE net expenditure overseas (NEO) is derived using Services Debits and Credits data obtained from Tables 8 and 9 in Balance of Payments and International Investments Position, Australia
10.28 Calculation of NEO is a two-stage process. The first stage estimates the total value of NEO while the second allocates expenditure to the appropriate HFCE category. The total value of NEO is calculated by offsetting two items against each other; namely, the expenditure of Australian residents abroad (debits) and the expenditure of non-residents in Australia (credits).
10.29 It should be noted that NEO does not include online purchases by Australian households from international websites. These are encompassed in the annual HFCE benchmarks, chiefly through alignment with data obtained from the Household Expenditure Survey (HES).
10.30 The expenditure of residents overseas is calculated as the sum of two items:
- Personal travel debits; and
- Expenditure of Australian Government employees.
10.31 Personal travel debits, as adjusted for national accounting purposes, record the acquisition of goods and services abroad by residents travelling at their own expense, including students. Business travellers are not included as their expenditure is largely intermediate consumption of the employing business. Examples are purchases of accommodation, meals, ground transportation and tours.
10.32 The estimate for personal travel debits is calculated as the sum of two original current price Balance of Payments series: Services Debits - Travel - Personal - Education-related and Services Debits - Travel - Personal - Other services. State/Territory splits are derived using proportions from the ABS publication, Overseas Arrivals and Departures, Australia.
10.33 Expenditure of Australian Government employees records the personal expenditure on goods and services by Australian diplomats and their dependants stationed abroad. It is also based on an original current price Balance of Payments series: an unpublished lower level component of Services Debits – Government goods and services n.i.e. State/Territory estimates are derived using figures on the number of Australian government employees abroad.
10.34 The expenditure of non-residents in Australia is derived by aggregating three items:
- Business travel credits;
- Personal travel credits; and
- Expenditure of foreign government employees.
10.35 Business travel credits cover expenditures on goods and services by seasonal and non-resident workers employed in Australia, and by travellers who visit, for business purposes, on behalf of an enterprise resident in another economy. The Balance of Payments series for Business travel credits is Services Credits – Travel – Business. State/Territory splits are derived using proportions from the ABS publication, Overseas Arrivals and Departures, Australia.
10.36 Personal travel credits record expenditures on goods and services in Australia by non-residents travelling at their own expense, for purposes other than business. The estimate for personal travel credits is calculated as the sum of two original current price Balance of Payments series: Services Credits – Travel – Personal – Education-related and Services Credits – Travel – Personal – Other services. State and Territory estimates are again calculated using proportions from Overseas Arrivals and Departures, Australia.
10.37 Expenditure of foreign government employees records the personal expenditure in Australia on goods and services by foreign diplomats and their dependants stationed in Australia. It is based on the unpublished lower level component of the Balance of Payments series Services Credits – Government goods and services i.e. State/Territory estimates of the expenditure of foreign government employees in Australia are derived using information on the number of foreign diplomats.
10.38 Total NEO is calculated by subtracting the expenditure of non-residents in Australia from the expenditure of Australia residents overseas. This is then allocated to various categories of HFCE using information from the International Visitor Survey, published by Tourism Research Australia (TRA). Data on expenditure from this survey is used to derive weights for the HFCE categories, which are then applied to the total NEO estimate. The exception is NEO for HFCE rent which is allocated solely to actual rent.
10.39 Quarterly and annual estimates of total NEO in current price terms are published as a memorandum item in Australian National Accounts: National Income, Expenditure and Product and Australian System of National Accounts.
Update to Net expenditure overseas
From 04/03/2024,
- Housing is included in HFCE COICOP categories 01-12 as an adjustment so that total HFCE reflects the expenditure of resident households (in Australia and overseas) only. Previously Housing was excluded. Paragraph 10.26.
- Net expenditure overseas for HFCE rent which is allocated solely to actual rent. Previous this was allocated using information from the International Visitor Survey. Paragraph 10.38.
Paragraphs 10.26 and 10.38 prior to 04/03/2024 update
Tourist refund scheme
10.40 An adjustment is made to applicable HFCE categories for the Tourist Refund Scheme (TRS), whereby individuals are able to claim back, under certain conditions, the goods and services tax (GST) and wine equalisation tax (WET) on goods purchased in Australia.
10.41 Information regarding the value of refunds from this scheme, broken down by type of good, is obtained quarterly from the Australian Border Force. These data are then allocated to the appropriate HFCE categories.
10.42 Adjustments for the TRS are made to the following COICOP categories:
2.1 | Alcoholic beverages; |
03 | Clothing and footwear; |
05 | Furnishings and household equipment; |
09 | Recreation and culture; and |
12 | Miscellaneous goods and services. |
Low value threshold
10.43 An adjustment is made to applicable HFCE categories for goods imported into Australia that fall below the Low Value Threshold (LVT) of $1,000. This adjustment covers purchases by Australian households from international websites.
10.44 Information regarding the value of goods imported that fall below the LVT are provided by Australian Customs. Various scope and coverage adjustments are applied to this data. These data are then allocated to the appropriate HFCE categories.
10.45 Adjustments for the LVT are made to the following COICOP categories:
01 | Food and non-alcoholic beverages |
02 | Clothing and footwear |
05 | Furnishings and household equipment |
06 | Health |
07 | Transport |
09 | Miscellaneous goods and services |
12 | Recreation and culture |
Underground economy
10.46 This adjustment attempts to capture the understatement in HFCE due to activities occurring in the underground economy. Measuring the Non-Observed Economy: A Handbook, a publication jointly authored by the OECD, the IMF, the International Labour Organization (ILO) and the Interstate Statistical Committee of the Commonwealth of Independent States, defined the underground economy as covering "those activities that are productive and legal but are deliberately concealed from the public authorities to avoid payment of taxes or complying with regulations".
10.47 In HFCE, the understatement is most likely to result from businesses under-reporting retail turnover in the source data used for the compilation of household expenditure estimates.
10.48 Annual estimates of home production are incorporated into S-U benchmarks. The annual value of self-supplied food is based on estimates of the amount of food produced for home consumption from the ABS publication, Home Production of Selected Foodstuffs, Australia. The value of homemade alcohol is based on estimates of the amount of alcohol produced for home consumption from the publication cited above.
10.49 Estimates for the underground activity occurring in the various HFCE categories are calculated as proportions of the expenditure estimates. The factors used have been compiled based on analysis by the ABS. These are not varied from year-to-year but are subject to periodic review. For more information, refer to Information Paper: The Non-Observed Economy and Australia’s GDP, 2012.
10.50 In ASNA, adjustments for the underground economy are made to the following COICOP categories:
01 | Food; |
03 | Clothing and footwear; |
05 | Furnishings, household equipment and routine household maintenance; |
07 | Transport; |
09 | Recreation and culture; |
11 | Restaurants and hotels; and |
12 | Miscellaneous goods and services. |
Repair and maintenance
10.51 This adjustment represents the expenditure by households on the repair and maintenance of various HFCE products, other than those captured in the Repair and maintenance not identified elsewhere component of HFCE Other Services (COICOP Group 12.5).
10.52 The sources used to derive estimates of household expenditure such as retail sales do not include spending on repairs and maintenance, therefore making it necessary to adjust for this expenditure separately.
10.53 Data on the total repair and maintenance expenditure by households is benchmarked irregularly to the Household Expenditure Survey, Australia: Summary of Results. Quarterly estimates are obtained by interpolating and extrapolating these benchmarks. Total repair and maintenance expenditure is broken down into HFCE product categories by applying weights, also obtained from the Household Expenditure Survey.
10.54 Adjustments for repairs and maintenance expenditure are applied to the following COICOP categories:
03 | Clothing and footwear; |
05 | Furnishings, household equipment and routine household maintenance; |
09 | Recreation and culture; and |
12 | Miscellaneous goods and services. |
Sources and methods - Annual
Benchmark years
10.55 Final consumption expenditure by resident households is calculated as:
Final consumption expenditure in the domestic market | |
+ | Expenditure overseas by Australian residents |
- | Expenditure in Australian by foreign residents |
= | Household final consumption expenditure |
10.56 When the annual compilation method is the sum of the quarters then reconciliation to the annual value is not necessary. When the quarterly series is estimated using an indicator then reconciliation to the annual value is required.
10.57 When the method for quarterly chain volume series is derived as extrapolation by a quarterly indicator the quarterly series is extrapolated from the latest annual estimate available. As each new annual value becomes available, the quarterly estimates are obtained by interpolating between the latest annual values using the quarterly indicator.
10.58 Unlike the quarterly production approach series, which draws most of its annual benchmarks from the balanced industry accounts, there are additional benchmarks for household final consumption expenditure. These include the ABS Economic Activity Survey and the Retail Trade Survey. The information on commodity expenditure from these sources is used to confront the industry production data. All benchmarks are therefore subject to revision. All quarterly current price estimates are reconciled to annual values based on the S-U confrontation. In cases where data are not available for every year, interpolation techniques are used for the intervening time span. Suitable indicators are used to obtain annual estimates for the span of the non-benchmark years. Once produced, these estimates are used in the supply-use framework to allow data confrontation.
10.59 A large proportion of household final consumption expenditure (HFCE) comprises sales by retail stores. Benchmarks are a combination of margin activity data (sales less cost of goods sold) in the Retail Trade and Wholesale Trade industries from the annual Economic Activity Survey, point of sale commodity data from the Retail Industry Survey and Wholesale Industry Survey (conducted every seven years) plus purchasing information from the Household Expenditure Survey which is held each 5 to 6 years. Latest data from these surveys are released in the publications: Retail and Wholesale Industries, Australia, Household Expenditure Survey, Australia: Summary of Results and Household Expenditure Survey, Australia: Detailed Expenditure Items. These surveys contain a product dimension which is classified to COICOP for the purposes of HFCE, with annual values being calculated via linear interpolation. For provisional years (that is, not yet balanced within the supply-use framework) and for the quarterly indicator series which are reconciled to these annual values, estimates are derived using movements in sales by outlet type from the Retail Trade Survey. This method is used for all commodities purchased from retail trade outlets except for motor vehicles and tobacco products where alternative information is available. For alcohol, the method is used for purchases from retail outlets and the Quarterly Business Indicator Survey (QBIS) is used for the portion purchased from non-retail outlets such as hotels, clubs and taverns. Quarterly chain volume series are derived by price deflation of commodities using sub-indexes of the Consumer Price Index and Retail Trade Survey outlet type deflators.
10.60 The Alcoholic beverages COICOP category includes only purchases of packaged alcohol which are consumed away from licensed premises. This excludes alcohol consumed on-premises such as pubs, bars, clubs or restaurants, which is considered a consumption of a service and is included under Hotels, cafes and restaurants. For the portion of alcohol purchased from non-retail outlets (QBIS), this captures packaged alcohol purchased on-premises and then consumed off-premise (i.e. a liquor store attached to a pub).
10.61 Retail expenditure estimates by consumption product are derived from retail trade data, which does not distinguish between resident and non-resident sales. Subsequently, estimates are made for expenditure by non-resident households in Australian (as these are recorded as exports) and alternatively expenditure by resident household’s overseas (imports). This ensures no double counting.
10.62 The tables below outline the data sources and methods used in the estimation of annual household final consumption expenditure by COICOP category. They include both the current price estimates and volume estimates.
Item | Comment |
---|---|
Current price estimates | |
The periodic Retail and Wholesale Industry Surveys (RIS/WIS) provides the primary benchmark estimates for this series. The value of self-supplied food is included and is based on estimates of the amount of food produced for home consumption from the ABS publication, Home Production of Selected Foodstuffs, Australia. The following scope and coverage adjustments are made:
For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters. When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
|
Volume estimates | |
Current price estimates for purchases of food by Australian residents are re-valued using relevant price deflator from the Consumer Price Index. |
Item | Comment |
---|---|
Current price estimates | |
|
The periodic Retail and Wholesale Industry Surveys (RIS/WIS) provides the primary benchmarks for this series. The value of home-made alcohol is included and is based on estimates of the amount of alcohol produced for home consumption from the ABS publication, Home Production of Selected Foodstuffs, Australia. The following scope and coverage adjustments are made:
For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters. When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
Volume estimates | |
Volume estimates for alcoholic beverages are based on the sum of the quarterly volumes. |
Item | Comment |
---|---|
Current price estimates | |
|
The value of tobacco products consumed by households is estimated using the formula: Domestic production + imports – exports – re-exports + taxes on products + margin estimate = Total consumption. The value of domestic production is estimated using the estimates of income for sale of goods from the Economic Activity Survey. Exports and re-exports data are obtained from trade data as sourced from the ABS Balance of Payments. Taxes on products are sourced from Government Finance Statistics. Margins data are obtained from the RIS/WIS. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
Volume estimates | |
Volume estimates for cigarettes and tobacco are based on the sum of the quarterly volumes. |
Item | Comment |
---|---|
Current price estimates | |
|
The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters. When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
Volume estimates | |
Current price estimates for purchases of clothing and footwear by Australian residents are re-valued using the relevant price deflator from the CPI. |
Item | Comment | |
---|---|---|
Imputed rentals for housing | ||
Current price estimates | ||
|
The Census of Population and Housing is the benchmark data source for the number of owner-occupied and rented dwellings and information about rents paid for rented dwellings. The imputed rent for owner-occupied dwellings is calculated by multiplying average rents (adjusted to exclude rents at less than market value) reported in the census for privately rented dwellings in various categories. Estimates of imputed rent of owner occupiers for intercensal and post-census periods are obtained by multiplying an estimate of the stock of dwellings by an estimate of the average rent of rented dwellings. The stock of dwellings is estimated by extrapolating the benchmark estimate. The benchmark stock of dwellings includes all occupied private dwellings and a proportion of unoccupied private dwellings but excludes short-term caravans in caravan parks. Private dwellings include separate houses, duplexes, town houses, flats including those which are part of a building that is used for commercial purposes (e.g. a retail shop) and caravans used for long-term accommodation. Additions to the stock are calculated from the number of dwelling completions sourced from the ABS publication, Building Activity, Australia. This is then modified by a factor to take into account other changes to the stock of dwellings (demolitions, net conversions from commercial uses and dwelling completions not in the scope of the survey). For intercensal periods, this factor is calculated by dividing the change in the stock between the census benchmarks by the total number of dwelling completions in the period. For the post-census period, the factor is assumed to be the same as for the latest intercensal period. After the latest applied benchmarks from the Census of Population and Housing, the total and owner occupied rent prices have been obtained from a combination of the Survey of Income and Housing (SIH), the CPI and real estate bulletins (Australian Property Monitors and Real Estate Institute of Australia). |
|
Volume estimates | ||
Volume estimate for imputed rentals for housing is based on the sum of the quarterly volumes compiled using a productive capital stock series which represents the volume of services provided by imputed rent on private dwellings. | ||
Actual rentals for housing | ||
Current price estimates | ||
|
These estimates are produced using the same sources as for the estimates of imputed rentals for housing. The benchmark calculation gives a direct measure of the dwelling rent paid by households to the owners of dwellings. |
|
Volume estimates | ||
Volume estimate for actual rentals for housing is based on the sum of the quarterly volumes compiled using a productive capital stock series which represents the number of private dwellings. | ||
Other services related to the dwelling | ||
Current price estimates | ||
|
Data is sourced from the ABS publication, Household Expenditure Survey, Australia: Summary of Results. HES provides the benchmark estimates for this series which includes water and sewerage and waste services. The following scope and coverage adjustments are made:
For the years where HES data are not available, the annual estimate is the sum of the four quarters. When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
|
Volume estimates | ||
Volume estimates for water and sewerage services are based on the sum of the quarterly volumes. Annual current price estimates in relation to waste collection and disposal services are re-valued using relevant price deflators from the Consumer Price Index to derive the annual volume estimates. |
||
Electricity, gas and other fuels | ||
Current price estimates | ||
|
The Household Expenditure Survey provides the benchmark estimates for this series. The following scope and coverage adjustments are made:
For the years where HES data are not available, the annual estimate is the sum of the four quarters. When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
|
Volume estimates | ||
Current price estimates of purchases of electricity, gas and other fuels are re-valued using relevant price deflators from the Consumer Price Index. |
Item | Comment | |
---|---|---|
Furniture and furnishings, carpets and other floor coverings | ||
Current price estimates | ||
|
The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters. When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
|
Volume estimates | ||
|
Current price estimates of purchases of furnishings and floor coverings in Australia are re-valued using relevant price deflators from the Consumer Price Index. |
|
Household textiles | ||
Current price estimates | ||
|
The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters. When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
|
Volume estimates | ||
|
Current price estimates of purchases of household textiles in Australia are re-valued using relevant price deflators from the Consumer Price Index. |
|
Household appliances | ||
Current price estimates | ||
|
The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters. When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore. adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
|
Volume estimates | ||
|
Current price estimates of purchases of household appliances in Australia are re-valued using relevant price deflators from the Consumer Price Index. |
|
Glassware, tableware and household utensils | ||
Current price estimates | ||
|
The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters. When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
|
Volume estimates | ||
|
Current price estimates of purchases of glassware, tableware and household utensils in Australia are re-valued using relevant price deflators from the Consumer Price Index. |
|
Tools and equipment for house and garden | ||
Current price estimates | ||
|
The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters. When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
|
Volume estimates | ||
|
Current price estimates of purchases of tools and equipment for house and garden in Australia are re-valued using relevant price deflators from the Consumer Price Index. |
|
Non-durable household goods | ||
Current price estimates | ||
|
The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters. When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
|
Volume estimates | ||
|
Current price estimates of purchases of non-durable household goods in Australia are re-valued using relevant price deflators from the Consumer Price Index. |
Item | Comment | ||
---|---|---|---|
Medicines, medical aids and therapeutic appliances | |||
Current price estimates | |||
The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters. When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. | |||
Volume estimates | |||
Volume estimates for this series are based on the sum of the quarterly volumes. | |||
Ambulatory health care | |||
Current price estimates | |||
The Household Expenditure Survey provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where HES data are not available, the annual estimate is the sum of the four quarters. When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. | |||
Volume estimates | |||
Volume estimates for ambulatory health care are based on the sum of the quarterly volumes. | |||
Hospital, ambulance services and nursing home care | |||
Current price estimates | |||
The Household Expenditure Survey (HES) provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where HES data are not available, the annual estimate is the sum of the four quarters. When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. | |||
Volume estimates | |||
Annual volume estimates for healthcare HFCE are estimated in conjunction with volume estimates for health output based on the direct volume index approach and output volume method, as described in Chapter 9, Table 9.30. Hospital services are provided to both admitted and non-admitted patients, as well as through different settings such as emergency departments. The number of hospital separations, emergency presentations and non-admitted events are used as quantity indicators; direct volume indexes are constructed for admitted patient care, emergency departments and non-admitted patient care services using average costs for weights. Weights for aggregation are sourced from the Australian Institute of Health and Welfare (AIHW), Government Finance Statistics and Economic Activity Survey. They are used to construct volume indexes for private, public and total hospitals. Other data are sourced from AIHW and the Independent Health and Aged Care Pricing Authority (IHACPA). Non-hospital services are based on the number of non-hospital services provided, stratified at various levels of procedure type, and weighted together by their respective current price value of expenditures. Data are sourced from Medicare, the Private Health Insurance Administration Council and the Productivity Commission Report on Government Services. |
Changes made to Table 10.7 Annual household final consumption expenditure — Health
From 04/03/2024,
Volume estimates
- Hospital services are provided to both admitted and non-admitted patients, as well as thorough different settings such as emergency departments.
- Weights for aggregation are sourced from the Australian Institute of Health and Welfare (AIHW), Government Finance Statistics and Economic Activity Survey. They are used to construct volume indexes for private, public and total hospitals.
- Non-hospital services are based on the number of non-hospital services provided, stratified at various levels of procedure type, and weighted together by their respective current price value of expenditures.
Table 10.7 prior to 04/03/2024 update
Item | Comment | ||
---|---|---|---|
Purchase of vehicles | |||
Current price estimates | |||
The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters. When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. | |||
Volume estimates | |||
Volume estimates for this series are based on the sum of the quarterly volumes. | |||
Operation of personal transport equipment | |||
Current price estimates | |||
Annual household expenditure on automotive petroleum and coal products are based on the ABS publication, Survey of Motor Vehicle Use, Australia (SMVU). The SMVU includes information on the fuel consumption of all motor vehicles by motor vehicle type and the private use of all vehicles by type of vehicle. Using this information and the national average retail price per litre of petrol and diesel sourced from the Australian Institute of Petroleum and the Automotive Petroleum Association, respectively, supplemented by Energy Accounts data, annual estimates of household expenditure for automotive petroleum and coal products are estimated. The Household Expenditure Survey provides the primary benchmarks for the series relating to pneumatic tyres and tubes for motor cars and motor cycles, motor vehicle engines, chassis and panels; transport equipment not elsewhere classified, motor vehicle repair and maintenance expenditure and miscellaneous motoring expenditure. The proportion of household claims associated with Motor Vehicle Comprehensive and third party insurance that captures estimates for the repair of accident damage to insured motor vehicles owned by the household sector is also included in compilation of Automotive repair and maintenance services. The following scope and coverage adjustments are made:
For the years where HES data are not available, the annual estimate is the sum of the four quarters. When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. | |||
Volume estimates | |||
Volume estimates for operation of personal transport equipment are based on the sum of the quarterly volumes. | |||
Transport services | |||
Passenger transport by railway | |||
Current price estimates | |||
The Household Expenditure Survey provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where HES data are not available, the annual estimate is the sum of the four quarters. When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. | |||
Volume estimates | |||
Expenditures on rail fares are re-valued using relevant price deflators from the Consumer Price Index. | |||
Passenger transport by road | |||
Current price estimates | |||
The Household Expenditure Survey provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where HES data are not available, the annual estimate is the sum of the four quarters. When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. | |||
Volume estimates | |||
Current price annual household expenditures on bus and taxi fares are re-valued using relevant price deflators from the Consumer Price Index. | |||
Passenger transport by air | |||
Current price estimates | |||
The Household Expenditure Survey provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where HES data are not available, the annual estimate is the sum of the four quarters. When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. | |||
Volume estimates | |||
Current price annual household expenditures on airfares are re-valued using relevant price deflators from the Consumer Price Index. | |||
Passenger transport by sea and inland water | |||
Current price estimates | |||
The Household Expenditure Survey provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where HES data are not available, the annual estimate is the sum of the four quarters. When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. | |||
Volume estimates | |||
Current price annual household expenditures on passenger transport by sea and inland waterway services are re-valued using relevant price deflators from the Consumer Price Index. |
Item | Comment | |
---|---|---|
Postal services | ||
Current price estimates | ||
|
The Household Expenditure Survey provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where HES data are not available, the annual estimate is the sum of the four quarters. When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
|
Volume estimates | ||
|
Current price estimates of expenditure on postal services are re-valued using relevant price deflators from the CPI. |
|
Telecommunication services | ||
Current price estimates | ||
|
The Household Expenditure Survey provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where HES data are not available, the annual estimate is the sum of the four quarters. When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
|
Volume estimates | ||
|
Current price annual estimates of expenditure on telephone and facsimile services are re-valued using relevant price deflators from the Consumer Price Index. Volume estimates for internet services are based on the sum of the quarterly volumes. |
Item | Comment | ||
---|---|---|---|
Audio visual, photographic and data processing equipment and accessories | |||
Current price estimates | |||
|
The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters. When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
||
Volume estimates | |||
Current price estimates of purchases of audio visual, photographic and data processing equipment and accessories in Australia are re-valued using relevant price deflators from the Consumer Price Index. | |||
Other major durables for recreation and culture | |||
Current price estimates | |||
|
The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters. When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
||
Volume estimates | |||
|
Current price estimates of purchases of other major durables for recreation and culture are re-valued using relevant price deflators from the Consumer Price Index. |
||
Other recreational items and equipment | |||
Current price estimates | |||
|
The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters. When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
||
Volume estimates | |||
|
Current price annual estimates of purchases of other recreational items and equipment are re-valued using relevant price deflators from the Consumer Price Index. |
||
Recreational and cultural services | |||
Sporting and recreational services | |||
Current price estimates | |||
|
Household expenditure for sporting and recreational services not elsewhere classified is based on historical estimates which are rolled forward by multiplying movements associated with the estimated resident population and the CPI for the sports participation series. The Household Expenditure Survey provides the primary benchmarks for this series relating to the cost of hiring entertainment equipment and facilities and sporting and educational services. The following scope and coverage adjustments are made:
Current expenditure of NPISHs providing sporting and recreational services is sourced from current grants to NPISH units providing sporting and recreational services. These data are sourced from Government Finance Statistics and current grants and donations from corporations and households to NPISHs units extrapolated from the ABS publication, Australian National Accounts: Non-Profit Institutions Satellite Account. For the years where HES data are not available, the annual estimate is the sum of the four quarters. When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
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Volume estimates | |||
|
Current price estimates of purchases of expenditures on sporting and recreational services are re-valued using relevant price deflators from the Consumer Price Index. |
||
Cultural and entertainment services | |||
Current price estimates | |||
|
The Household Expenditure Survey provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where HES data are not available, the annual estimate is the sum of the four quarters. When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
||
Volume estimates | |||
Current price estimates of expenditures on cultural and entertainment services are re-valued using relevant price deflators from the Consumer Price Index. | |||
Net losses from gambling | |||
Current price estimates | |||
|
Current price estimates on Net losses from gambling are sourced from the Australian Gambling Statistics publication (published by the Queensland government). This publication provides comprehensive annual data on gambling in Australia. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
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Volume estimates | |||
Net losses from personal outlays on gambling by households are re-valued using relevant price deflators from the CPI. | |||
Newspapers, books and stationery | |||
Current price estimates | |||
|
The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters. When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
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Volume estimates | |||
Annual current price estimates of household expenditures on newspapers, books and stationery are re-valued using relevant price deflators from the Consumer Price Index. |
Item | Comment |
---|---|
Current price estimates | |
The Household Expenditure Survey provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
The household expenditure associated with the tertiary education services Higher Education Loan Program (HELP) was derived from time series data on HELP provided by the Department of Education. For the years where HES data are not available, the annual estimate is the sum of the four quarters. When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. | |
Volume estimates | |
Annual volume estimates for education are estimated in conjunction with direct volume estimates for education output, as described in Chapter 9, Table 9.29. The sources used are total numbers of students at both private and government schools, student load of universities, course hours for TAFE and other vocational education providers stratified at various levels of education and weighted together by their respective current price value of expenditures. Student numbers are sourced from the ABS publication, Schools; annual reports from the departments of Education and Employment and Workplace Relations for school and university students; and data from the National Centre for Vocational Education Research (NCVER) for vocational students. |
Changes made to Table 10.11 Annual household consumption expenditure — Education services
From 28/10/2024,
Volume estimates
References to the departments of Education and Employment have been changed to departments of Education and Employment and Workplace Relations. This reflects current administrative arrangements.
Item | Comment | |
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Catering | ||
Current price estimates | ||
|
The Household Expenditure Survey provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where HES data are not available, the annual estimate is the sum of the four quarters. When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
|
Volume estimates | ||
Expenditures on catering by Australian residents are re-valued using relevant price deflators from the Consumer Price Index. | ||
Accommodation services | ||
Current price estimates | ||
|
The Household Expenditure Survey provides the primary benchmarks for this series. The following scope and coverage adjustments are made:
For the years where HES data are not available, the annual estimate is the sum of the four quarters. When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
|
Volume estimates | ||
|
Expenditures on accommodation services by Australian residents are re-valued using relevant price deflators from the Consumer Price Index. |
Item | Comment | ||
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Personal care | |||
Current price estimates | |||
|
The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for the series relating to personal outlays on personal care products such as perfume, cosmetics and soap. The Household Expenditure Survey (HES) provides the benchmarks for miscellaneous services including hair dressing and beauty salon services. The following scope and coverage adjustments are made:
For the years where RIS/WIS and HES data are not available the annual estimate is the sum of the four quarters. When the next RIS/WIS and HES benchmarks become available a linear interpolation technique is used to align the current estimates to best fit the linear model between the benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
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Volume estimates | |||
|
Expenditures on personal care by Australian residents are re-valued using relevant price deflators from the Consumer Price Index. |
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Personal effects |
|||
Current price estimates | |||
|
The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series relating to personal outlays on jewellery and watches etc. The following scope and coverage adjustments are made:
For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters. When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
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Volume estimates | |||
|
Expenditures on personal effects by Australian residents are re-valued using relevant price deflators from the Consumer Price Index. |
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Insurance | |||
Description | |||
Included in this item is the service charge paid by householders for insurance. Premiums paid for general insurance of householders' effects, motor vehicle insurance, health insurance, and life insurance and superannuation can be seen to comprise a service charge for insuring, a payment for the risk of insuring and, for life insurance and superannuation funds, an element of saving. | |||
Current price estimates | |||
Homeowner and household insurance | |||
|
This is the service charge for insuring householders' furniture and effects, generally called home contents insurance. Insurance of the dwelling itself is excluded from household final consumption expenditure as it is considered to be part of the intermediate consumption of the industry, Ownership of dwellings. Premiums and claims for Homeowner and Household Insurance are obtained from Quarterly General Insurance Performance Statistics; General Insurance Supplementary Statistical Tables; half-yearly General Insurance Bulletin and Selected Statistics on the General Insurance Industry, published by the Australian Prudential Regulatory Authority (APRA) in quarterly, half-yearly and annual bulletins. Expected claims are derived by using a centred five-year moving average of claims incurred. Premium supplements are calculated using the proportion of Homeowner and Household premiums to total general insurance premiums multiplied by total investments earnings on general insurance technical reserves. Premium supplements are added together with personal premiums to give the total value of premiums. Personal premiums paid plus premium supplements less expected personal claims incurred gives the value of the service charge which is included in household final consumption expenditure. Taxes on products are added to derive a purchases price value. Taxes on products are allocated to this product using a number of methods. These include the proportion of GST from net of premiums less claims and the supply proportion of Government taxes on insurance n.e.c. for other taxes on products. |
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Motor vehicle insurance | |||
|
Motor vehicle insurance service charges cover both compulsory third party (personal injury) insurance, and comprehensive and third party property insurance on motor vehicles. Premiums and claims for motor vehicle property and compulsory third party (personal injury) insurance are obtained from Quarterly General Insurance Performance Statistics; General Insurance Supplementary Statistical Tables; half-yearly General Insurance Bulletin and Selected Statistics on the General Insurance Industry, published by the APRA in quarterly, half-yearly and annual bulletins. APRA data are classified in a consistent manner to national accounts requirements. Domestic comprehensive motor vehicle insurance is applicable directly to household final consumption expenditure, commercial comprehensive motor vehicle insurance is categorised to business and government. Compulsory third party motor vehicle insurance for householders is obtained by multiplying total compulsory third party motor vehicle insurance by the proportion of personal vehicles to business and government vehicles from the ABS Survey of Motor Vehicle Use, Australia. Expected claims are derived by using a centred five-year moving average of claims incurred. Premium supplements are added together with personal premiums to give the total value of premiums for both motor vehicle property and compulsory third party (personal injury) insurance. Premium supplements for each type of motor vehicle insurance are calculated using the proportion of motor vehicle insurance premiums to total general insurance premiums multiplied by total investment earnings on general insurance technical reserves. Personal premiums paid plus premium supplements less expected personal claims incurred gives the value of the service charge which is included in household final consumption expenditure. Taxes on products are added to derive a purchases price value. Taxes on products are allocated to this product using a number of methods. These include the proportion of GST from net of premiums less claims and the direct amount of government third party insurance taxes for other taxes on products. |
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Health insurance | |||
|
The insurance service charge for health insurance is calculated in the same way as for general insurance of householders' effects. Information about premiums paid and claims incurred by households from health insurers is sourced from the Private Health Insurance Administration Council publication, Operations of the Registered Health Benefits Organisations. Expected claims are derived by using a centred five-year moving average of claims incurred. Personal premiums paid plus premium supplements less expected personal claims incurred gives the value of the service charge which is included in household final consumption expenditure. Premium supplements are added together with personal premiums to give the total value of premiums. Premium supplements are calculated by dividing health insurance premiums by total general insurance premiums multiplied by investment earnings on general insurance technical reserves. The Medicare levy paid by individuals is considered to be an element of income tax levied by the Commonwealth Government. As such, it is not included in household final consumption expenditure. |
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Other non-life insurance by households as consumers | |||
|
This is the service charge for various classes of insurance which are taken out by households, but which have not been explicitly discussed above. Included are travel, consumer credit, marine hull, and sickness and accident. Premiums and claims for the relevant classes of insurance business are obtained from Quarterly General Insurance Performance Statistics; General Insurance Supplementary Statistical Tables; half-yearly General Insurance Bulletin and Selected Statistics on the General Insurance Industry, published by the Australian Prudential Regulation Authority in quarterly, half-yearly and annual bulletins. The households' share of both premiums and claims for each class of business are estimated using available information and subjective judgement. Expected claims are derived by using a centred five-year moving average of claims incurred. Premium supplements are added together with personal premiums to give the total value of premiums. Premium supplements are calculated using the proportion of households' premiums for the relevant classes of business to total general insurance premiums, multiplied by total investment earnings on general insurance technical reserves. Personal premiums paid plus premium supplements less expected personal claims incurred gives the value of the service charge which is included in household final consumption expenditure. Taxes on products are added to derive a purchases price value. Taxes on products are allocated to this product using a number of methods. These include the proportion of GST from net of premiums less claims and supply proportions of government taxes on insurance n.e.c. for other taxes on products. |
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Life insurance and superannuation | |||
|
Premiums and contributions paid by policyholders to life insurance corporations and superannuation are considered to include an insurance service charge element. A proportion of life insurance and superannuation premiums/contributions is actually paid by employers on behalf of their employees. However, for national accounts purposes these premiums are included in employers' social contributions, which is a component of compensation of employees. The employee pays the insurance service charge (a component of household final consumption expenditure) and invests in life insurance and superannuation funds recorded in the household financial account. For life insurance corporations and friendly societies, the insurance service charge is equal to the cost of running the business plus a profit margin. The service charge is compiled from data on life insurance statutory funds available from Quarterly Life Insurance Performance Statistics; half-yearly Life Insurance Bulletin and the Annual Friendly Society Bulletin, published by the Australian Prudential Regulatory Authority. The profit margin is calculated by estimating a proxy return on equity (where the return on equity is defined as gross operating surplus over shareholders' funds). For pension funds the insurance service charge is equal to cost of running the fund, included are administrative and investment expenses. The service charge is compiled from data on pension funds available from the ABS publications, Managed Funds, Australia and Australian National Accounts: Finance and Wealth; and the APRA publications, Superannuation Performance Statistics and the Annual Superannuation Bulletin. Taxes on products are added to derive a purchases price value. Other taxes on products are allocated to this product using supply proportions of government taxes on insurance n.e.c. |
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Workers’ compensation insurance | |||
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The insurance service charge for workers’ compensation insurance paid by employers is included in household final consumption expenditure. The insurance service charge measures the value of services provided by the insurance enterprises in arranging payments for claims in exchange for the receipts of premiums. Premiums and claims for the relevant classes of insurance business are obtained from, quarterly General Insurance Performance Statistics; General Insurance Supplementary Statistical Tables; half-yearly General Insurance Bulletin and Selected Statistics on the General Insurance Industry, published by the Australian Prudential Regulation Authority in quarterly, half-yearly and annual bulletins. Premium supplements are added together with personal premiums to give the total value of premiums. Premium supplements are calculated using the proportion of workers’ compensation insurance premiums to total general insurance premiums, multiplied by total investment earnings on general insurance technical reserves. Personal premiums paid plus premium supplements less expected personal claims incurred gives the value of the service charge which is included in household final consumption expenditure. Taxes on products are added to derive a purchases price value. Taxes on products are allocated to this product using a number of methods. These include the proportion of GST from net of premiums less claims and supply proportion of government taxes on insurance n.e.c. for other taxes on products. |
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Supply and use balancing process for insurance services | |||
|
The initial data is compiled at the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. The SUPC level data are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
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Volume estimates | |||
|
Current price estimates of purchases of insurance services are re-valued using relevant price deflators from the CPI. |
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Financial services | |||
Description | |||
|
The scope of this item is household expenditure, both actual and imputed, on services provided by financial institutions other than insurers. Three broad categories of expenditure are covered. The first relates to the charges that households pay explicitly to financial institutions for services rendered. Examples are account-keeping fees; commission on money orders, travellers' cheques and overseas drafts; brokerage on share trading; and financial advisers' charges. The second covers taxes on production and imports levied by general government on financial transactions undertaken by households. Examples are financial institutions duty and stamp duty incurred by trading in financial instruments. The stamp duty payable on the transfer of titles to residential property is treated as part of the transfer costs of ownership of dwellings (which are included in gross fixed capital formation) and as such is not part of household final consumption expenditure. The last component is the indirectly charged service charges of banks and other similar financial intermediaries. In the national accounts an imputation is made for the value of the services provided by financial intermediaries; that is, Financial Intermediation Services Indirectly Measured (FISIM). It is estimated by reference to the difference in interest rates offered to borrowers and depositors and the average levels of outstanding loans and deposits. The payment for financial services is implicit in both the higher interest paid by borrowers and the lower interest received by depositors. That part of this service which relates to personal loans to households to finance household consumption and household deposits held by financial intermediaries is regarded as being paid by persons and included in household final consumption expenditure. FISIM relating to mortgages on dwellings owned by persons is not included in household final consumption expenditure, but is treated as a component of intermediate consumption in the calculation of gross operating surplus for dwellings owned by persons. |
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Current price estimates | |||
Explicit charges | |||
|
The total value of explicit charges (e.g. account-keeping fees; commission on money orders; travellers' cheques and overseas drafts; brokerage on share trading; and financial advisers' charges) paid by households is calculated using data from the following sources:
Taxes on products are added to derive a purchases price value. Taxes and subsidies on products are allocated to specific products using a number of methods. These include household final consumption expenditure proportions in the case of the Goods and Services Tax and supply proportions for other taxes on products. |
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FISIM | |||
|
FISIM is estimated as the difference between the interest rates on loans and deposits and a pure or reference rate of interest, multiplied by the level of loans and deposits, respectively. The total value of FISIM paid by households is calculated using data from the following sources:
To compile household final consumption expenditure FISIM estimates for banks, other depository corporations and securitisers, the total interest receivable and payable estimates by financial instruments (i.e. deposits, bills of exchange, one-name paper, bonds and loans) and counterparty sector and subsector flows for the following five sectors and subsectors are compiled:
Three datasets are required to compile the interest flows, namely:
The next step is to calculate FISIM for loans and deposits (banks and other depository corporations) and for loans (securitisers). That is:
[(counterparty loan rate – reference rate) * counterparty stock of loans] + [(reference rate – counterparty deposit rate) * counterparty stock of deposits] where the reference rate is the mid-point between the average interest rate on loans and the average interest rate on deposits.
[(counterparty loan rate – reference rate) * counterparty stock of loan] where the reference rate is the weighted average bond yield. The above calculations are undertaken in separate loan and deposit FISIM tables for each of the three FISIM generating institutions. Each table captures the counterparty sector and subsector loan and deposit balances, their respective interest flows and interest margins and the subsequent FISIM estimates. The FISIM tables mentioned above for loans and deposits enable the allocation of FISIM by final use (i.e. household final consumption expenditure), exports and intermediate use directly. |
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Supply and use balancing process for finance services | |||
|
The initial data is compiled at the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. The SUPC level data are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
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Volume estimates | |||
Explicit charges | |||
|
Current price estimates of purchases of direct financial services by Australian residents are re-valued using relevant price deflators from the CPI. |
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FISIM | |||
|
The detailed information from the current price FISIM loan and deposit tables for the four financial intermediaries (i.e. banks, other depository corporations, central borrowing authorities and securitisers) are used to construct chain volume measures. Chain volume FISIM measures are produced for the total, household final consumption expenditure, intermediate use of ownership of dwellings, intermediate use by general government, total intermediate use, exports and imports: Laspeyres chain volume estimates of balances (loans and deposits) by counterparty sectors and subsectors are calculated by deflating the current price estimates using the All groups CPI. The deflated loans and deposits are multiplied by the associated interest margin for the previous year to produce estimates of FISIM in prices of the previous year. The estimates in the previous step are summed across the four financial intermediaries to produce Laspeyres chain volume estimates of total FISIM, final use (i.e. household final consumption expenditure), exports, imports, total intermediate use and dwellings and general government intermediate use. |
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Other goods and services | |||
Current price estimates | |||
|
The Household Expenditure Survey provides the primary benchmarks for miscellaneous services including personal outlays on dry cleaning, photographic services, laundering, removalist services, funeral services and professional services (other than health care services) such as legal and accounting services. The following scope and coverage adjustments are made:
Current expenditure on NPISHs such as religious services are sourced from current grants and donations from corporations and households to NPISH units providing religious services extrapolated from the ABS publication, Australian National Accounts: Non-Profit Institutions Satellite Accounts. For the years where HES data are not available, the annual estimate is the sum of the four quarters. When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks. The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
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Volume estimates | |||
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Current price estimates on household expenditures on other goods and services by Australian residents are re-valued using relevant price deflators from the Consumer Price Index. |
Latest year
10.63 For the majority of HFCE components, annual estimates are constructed by summing of the quarterly estimates for the years after the latest supply-use tables.
Sources and methods - Quarterly
10.64 The tables below outline the data sources and methods used in the estimation of quarterly household final consumption expenditure by COICOP category. They include both the current price estimates and volume estimates.
Item | Comment |
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Current price estimates | |
|
Quarterly indicator series for Food and non-alcoholic beverages are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Surveys (RIS/WIS). The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for Food and non-alcoholic beverages past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
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Volume estimates | |
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Current price estimates of purchases of food and non-alcoholic beverages by Australian residents in Australia are re-valued using a weighted average of components from the CPI Food and non-alcoholic Beverages group. Current price estimates of purchases of food and non-alcoholic beverages by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. Chain volume estimates of Food and non-alcoholic beverages are derived by aggregating the elemental volume components above. |
Item | Comment |
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Current price estimates | |
|
Quarterly indicator series for Alcoholic beverages are derived by weighting together series from the ABS publication, Retail Trade, Australia and the quarterly Business Indicators: Australia, based on weights from the 20012-13 Retail and Wholesale Industries Surveys. The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for Alcoholic beverages past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
Volume estimates | |
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Current price estimates of purchases of alcohol by Australian residents in Australia are re-valued using a weighted average of components from the CPI Alcoholic beverages sub-group. Current price estimates of purchases of alcohol by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. Chain volume estimates of Alcoholic beverages are derived by aggregating the elemental volume components above. |
Item | Comment |
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Current price estimates | |
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The quarterly indicator for Cigarettes and tobacco is derived using price and quantity information sourced from the scanner data of the major supermarket chains. The data contains product codes (SKUs), product descriptions, prices, quantities and store metadata. SKUs are aggregated into five major categories: cartons, packs (normal cigarettes and cigars), grams of leaf tobacco sold, filters and papers. The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for Cigarettes and tobacco past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
Volume estimates | |
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Current price estimates of purchases of cigarettes and tobacco by Australian residents in Australia are re-valued using the CPI for Tobacco. Current price estimates of purchases of cigarettes and tobacco by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. Chain volume estimates of Cigarettes and tobacco are derived by aggregating the elemental volume components above. |
Item | Comment |
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Current price estimates | |
|
Quarterly indicator series for Clothing and footwear are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Surveys. The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for Clothing and footwear past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
Volume estimates | |
|
Current price estimates of purchases of clothing and footwear by Australian residents in Australia are re-valued using a weighted average of components from the CPI Clothing and footwear group. Current price estimates of purchases of clothing and footwear by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. Chain volume estimates of Clothing and footwear are derived by aggregating the elemental volume components above. |
Item | Comment | |
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Imputed rentals for housing | ||
Current price estimates | ||
|
Quarterly estimates of the imputed rent of owner-occupiers are obtained by multiplying the stock of owner-occupied dwellings by the average rent paid. Information regarding the stock of owner-occupied dwellings and the rents paid for those dwellings are obtained from the Census of Population and Housing, conducted every five years. The stock of owner-occupied dwellings includes all occupied private dwellings and a proportion of unoccupied private dwellings but excludes short-term caravans in caravan parks. Private dwellings include separate houses, duplexes, townhouses, flats (including those which are part of a building that is used for commercial purposes such as a retail shop) and caravans used for long-term accommodation. For intercensal and post-Census periods, the stock is moved forward using the number of dwelling unit completions from the ABS publication, Building Activity, Australia. This is then modified by a factor to take account of other changes to the stock of dwellings; that is, demolitions, net conversions from commercial uses and dwelling completions not in the scope of the survey. For intercensal periods, this factor is calculated by dividing the change in the stock of owner-occupied dwellings between Census benchmarks by the total number of dwelling completions in the period. For the post-Census period, the factor is assumed to be the same as that for the latest intercensal period. The benchmark average rent paid for owner-occupied dwellings is calculated by multiplying average rents reported in the Census (adjusted to exclude rents at less than market value) for privately rented dwellings in various categories (major urban, other urban, rural etc., cross-classified by the structure of the dwelling and number of bedrooms) by the number of owner-occupied dwellings in those same categories. For intercensal and post-Census periods, the benchmark average rent paid is updated using data from the Survey of Income and Housing, and industry reports from Australian Property Monitors (APM) and the Real Estate Institute of Australia (REIA). The latest benchmark of average rent paid is moved forward using a weighted average of price indexes from the CPI for privately-owned dwelling rents. The weights used have been derived from the Census of Population and Housing. Separate estimates of imputed rentals for housing are published on an annual basis in Australian System of National Accounts. |
|
Volume estimates | ||
Chain volume estimates of imputed rentals for housing are derived using the relative proportion of the nominal current price values for imputed rentals to the sum of actual and imputed rentals for housing. The derived ratio is applied to the chain volume estimate for total dwelling rent. | ||
Actual rentals for housing | ||
Current price estimates | ||
|
Quarterly estimates of actual rent for housing is the difference between total dwelling rent and the imputed rent of owner-occupiers. Separate estimates of actual rent for housing are published on an annual basis in Australian System of National Accounts. |
|
Volume estimates | ||
Chain volume estimates of actual rentals for housing are derived using the relative proportion of the nominal current price values for actual rentals to the sum of actual and imputed rentals for housing. The derived ratio is applied to the chain volume estimate for total dwelling rent. | ||
Total dwelling rent | ||
Current price estimates | ||
|
Quarterly estimates of total dwelling rent (the imputed rent of owner-occupiers plus actual rent paid by renters) are obtained by multiplying the total stock of dwellings by the average rent paid. Similar to imputed rentals for housing, information regarding the stock of total dwellings and rents paid is obtained from the Census of Population and Housing. The stock of total dwellings includes all occupied private dwellings and a proportion of unoccupied private dwellings but excludes short-term caravans in caravan parks. Private dwellings include separate houses, duplexes, townhouses, flats (including those which are part of a building that is used for commercial purposes such as a retail shop) and caravans used for long-term accommodation. For intercensal and post-Census periods, the stock of total dwellings is again moved forward using the number of dwelling unit completions from the ABS publication, Building Activity, Australia. This is then modified by a factor to take account of other changes to the stock of dwellings; that is, demolitions, net conversions from commercial uses, and dwelling completions not in the scope of the survey. For intercensal periods, this factor is calculated by dividing the change in the total stock of dwellings between Census benchmarks by the total number of dwelling completions in the period. For the post-Census period, the factor is assumed to be the same as that for the latest intercensal period. The benchmark for average rent paid is calculated by multiplying the average rents reported in the Census (adjusted to exclude rents at less than market value) for privately rented dwellings in various categories (major urban, other urban, rural, etc., cross-classified by the structure of the dwelling and number of bedrooms) by the number of rented dwellings in those same categories. For intercensal and post-Census periods, the benchmark average rent paid is updated using data from the Survey of Income and Housing, and industry reports from Australian Property Monitors and the Real Estate Institute of Australia. The latest benchmark of average rent paid is moved forward using a weighted average of price indexes from the CPI for privately-owned and government-owned dwelling rents. The weights used have been derived from the Census of Population and Housing. |
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Volume estimates | ||
|
Quarterly volume estimates for total rent for housing are obtained by quantity revaluing the current price estimates using the average net capital stock of dwellings. Quarterly estimates of capital stock are derived by linearly interpolating and extrapolating the annual estimates. Initial State allocations are derived using estimated resident population. |
|
Other services related to the dwelling | ||
Current price estimates | ||
|
Quarterly indicator series for other services related to the dwelling are derived by multiplying estimated resident population by the CPI for water and sewerage. The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for other services related to the dwelling past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. No additional adjustments are made to current price estimates of other services related to the dwelling. |
|
Volume estimates | ||
Current price estimates of purchases of services relating to the dwelling by Australian residents are re-valued using the CPI for water and sewerage. | ||
Total rent and other dwelling services | ||
Volume estimates | ||
Chain volume estimates of rent and other dwelling services are derived by aggregating the elemental volume estimates for these subcategories. | ||
Electricity, gas and other fuels | ||
Current price estimates | ||
|
Quarterly indicators for household expenditure on electricity and gas are derived using Energy Retailing Survey (ERS) data from the Survey of Consumer Sales (SOCS) in Table 17 of Retail Trade, Australia. The ERS covers registered electricity and gas suppliers to households. The quarterly indicator series for other household fuels is derived from sales of heating oil and kerosene from the monthly Australian Petroleum Statistics report, published by the Department of Industry, Science, Energy and Resources (DISER), together with price data from the CPI for gas and other household fuels. These indicator series are used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. State/Territory estimates for electricity and gas are derived from the national estimates using the relative proportions in the indicator series. Other household fuels is apportioned according to data from the Household Expenditure Survey, Australia: Summary of Results. No additional adjustments are made to current price estimates of Electricity, gas and other fuels. |
|
Volume estimates | ||
Current price estimates of purchases of electricity, gas and other fuels by Australian residents are each re-valued using relevant components of the CPI Utilities sub-group. |
Item | Comment | |
---|---|---|
Furniture and furnishings, carpets and other floor coverings | ||
Current price estimates | ||
|
Quarterly indicator series for furniture and furnishings, carpets and other floor coverings are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Surveys. The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for furniture and furnishings, carpets and other floor covering past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
|
Volume estimates | ||
|
Current price estimates of purchases of furniture and furnishings, carpets and other floor coverings in Australia are re-valued using the CPI for Furniture and furnishings. |
|
Household textiles | ||
Current price estimates | ||
|
Quarterly indicator series for household textiles are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Surveys. The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for household textiles past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
|
Volume estimates | ||
|
Current price estimates of purchases of household textiles in Australia are re-valued using a weighted average of relevant components from the CPI. |
|
Household appliances | ||
Current price estimates | ||
|
Quarterly indicator series for household appliances are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey. The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for household appliances past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
|
Volume estimates | ||
|
Current price estimates of purchases of household appliances in Australia are re-valued using a weighted average of relevant components from the CPI Household appliances, utensils and tools sub-group. |
|
Glassware, tableware and household utensils | ||
Current price estimates | ||
|
Quarterly indicator series for glassware, tableware and household utensils are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey. The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for glassware, tableware and household utensils past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
|
Volume estimates | ||
|
Current price estimates of purchases of glassware, tableware and household utensils in Australia are re-valued using a weighted average of relevant components from the CPI Household appliances, utensils and tools sub-group. |
|
Tools and equipment for house and garden | ||
Current price estimates | ||
|
Quarterly indicator series for tools and equipment for house and garden are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey. The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for tools and equipment for house and garden past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
|
Volume estimates | ||
|
Current price estimates of purchases of tools and equipment for house and garden in Australia are re-valued using the CPI for Tools and equipment for house and garden. |
|
Non-durable household goods | ||
Current price estimates | ||
|
Quarterly indicator series for non-durable household goods are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey. The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for non-durable household goods past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
|
Volume estimates | ||
|
Current price estimates of purchases of non-durable household goods in Australia are re-valued using a weighted average of relevant components from the CPI. |
|
Total furnishings and household equipment | ||
Volume estimates | ||
|
Current price estimates of purchases of furnishings and household equipment by non-residents in Australia are re-valued using a weighted average of relevant components from the CPI. Current price estimates of purchases of furnishings and household equipment by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. In deriving the chain volume estimates of furnishings and household Equipment, the elemental volume estimate of purchases by non-residents in Australia is subtracted from the sum of the other elemental volume components above. |
Item | Comment | |
---|---|---|
Medicines, medical aids and therapeutic appliances | ||
Current price estimates | ||
Quarterly indicator series for total expenditure on medicines, medical aids and therapeutic appliances are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey. The indicator includes both household (out-of-pocket) and government (benefit) expense. HFCE captures the out-of-pocket expenditure of households on medicines, medical aids and therapeutic appliance, so an adjustment is made to remove the government contribution. Government Finance Statistics provide an estimate of the benefits paid by the Government as part of the Pharmaceutical Benefits Scheme. This estimate, at the national level, is apportioned across each State and Territory based on the relative proportions in the indicator series above. These amounts are then deducted from the retail-based series to obtain indicators for household expenditure on medicines, medical aids and therapeutic appliances. The national indicator derived from this process is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for medicines, medical aids and therapeutic appliances past the latest available benchmark. State/Territory estimates are derived from the national estimate using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
A further adjustment is made to remove cosmetic and toiletry goods retailing which is included in the Retail Trade indicator for medicines, medical aids and therapeutic appliances. Cosmetic and toiletry goods retailing products are captured in personal care products under the Other goods and services COICOP category. | ||
Volume estimates | ||
Current price estimates of purchases of medicines, medical aids and therapeutic appliances in Australia are re-valued using the CPI for Pharmaceutical products. | ||
Ambulatory health care | ||
Current price estimates | ||
Quarterly indicator series for total expenditure on ambulatory health care are compiled using data from Services Australia on the fees charged for medical services and procedures where Medicare benefits were paid, as well as private health insurance statistics from the Australian Prudential Regulation Authority (APRA). Government Finance Statistics provide an estimate of the benefits paid by the Government under Medicare. This estimate, at the national level, is apportioned across each State and Territory based on the relative proportions in the indicator series above. These amounts are deducted from the Commonwealth Department of Health and Aged Care and APRA based series to obtain indicators for household expenditure on ambulatory health care. The national indicator derived from this process is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for ambulatory health care past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
| ||
Volume estimates | ||
Current price estimates of purchases of ambulatory health care in Australia are re-valued using relevant components from the CPI Health group. | ||
Hospital, ambulance services and nursing home care | ||
Current price estimates | ||
The APRA series for private health insurance benefits paid for hospital care is used as the quarterly indicator for household expenditure on private hospitals. The indicator for fees paid to public hospitals, nursing homes, and for ambulance services is data from the Commonwealth Department of Health and Aged Care on the fees charged for medical services and procedures where Medicare benefits were paid. These indicators are used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for hospital, ambulance services and nursing home care past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
| ||
Volume estimates | ||
Current price estimates of purchases of hospital, ambulance services and nursing home care are re-valued using relevant component of the CPI Medical, dental and hospital services sub-group. | ||
Total Health | ||
Volume estimates | ||
Current price estimates of purchases of health by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. Current price estimates of purchases of health by non-residents in Australia as re-valued using a weighted average of relevant components from the CPI Health group. In deriving chain volume estimates of health, the elemental volume estimate of purchases by non-residents in Australia is subtracted from the sum of the other elemental volume components above. |
Changes made to Table 10.20 Quarterly household consumption expenditure—Health
From 28/10/2024,
Ambulatory health care
Current prices
- References to the Department of Health have been changed to Department of Health and Aged Care.
- References to the Private Health Insurance Administration Council have been changed to Australian Prudential Regulation Authority.
- This reflects current administrative arrangements.
Item | Comment | ||
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Purchase of vehicles | |||
Current price estimates | |||
New motor vehicles | |||
|
The number of new motor vehicle sales by type of vehicle and sector (private, business and government), and the average price of these sales are obtained quarterly from the Federal Chamber of Automotive Industries’ VFACTS report. From these data, the quarterly indicator series for purchase of new motor vehicles is derived by multiplying the number of sales of each type of vehicle by their average sale price and aggregating. The indicators for all the subcomponents of this COICOP category (New motor vehicles, used vehicles from other sectors and Dealers’ margins) are summed to derive an indicator for total purchase of vehicles. The aggregated indicator is used to allocate benchmarked annual estimates of purchase of vehicles to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. The national estimate for purchase of vehicles is apportioned across each State/Territory using the relative proportions in the indicator series. No additional adjustments are made to current price estimates of new motor vehicles purchases. |
||
Used vehicles from other sectors | |||
|
Quarterly indicator series for purchases of used vehicles from other sectors are based on movements in the average value of new motor vehicle purchases from [q-6] to [q-12]. The indicators for all the subcomponents of this COICOP category (New motor vehicles, used vehicles from other sectors and Dealers’ margins) are summed to derive an indicator for total purchase of vehicles. The aggregated indicator is used to allocate benchmarked annual estimates of purchase of vehicles to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. The national estimate for purchase of vehicles is apportioned across each State/Territory using the relative proportions in the indicator series. No additional adjustments are made to current price estimates of used vehicles from other sectors. |
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Dealers’ margins | |||
|
Quarterly indicator series for dealers’ margins on used vehicles traded between households through dealers are based on movements in the average value of new motor vehicle purchases from [q-6] to [q-12]. The indicators for all the subcomponents of this COICOP category (New motor vehicles, used vehicles from other sectors and Dealers’ margins) are summed to derive an indicator for total purchase of vehicles. The aggregated indicator is used to allocate benchmarked annual estimates of purchase of vehicles to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. The national estimate for purchase of vehicles is apportioned across each State/Territory using the relative proportions in the indicator series. No additional adjustments are made to current price estimates of dealers’ margins. |
||
Volume estimates | |||
|
Current price estimates of purchases of motor vehicles by Australian residents in Australia are re-valued using the CPI for Motor vehicles. Current price estimates of purchases of motor vehicles by Australian residents overseas are re-valued using a composite index of overseas CPIs. Chain volume estimates of purchase of vehicles are derived by summing the elemental volume components above. |
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Operation of personal transport equipment | |||
Current price estimates | |||
Motoring goods | |||
|
The quarterly indicator for household expenditure on fuel is derived from petroleum sales volumes from the Department of Industry, Science, Energy and Resources (DISER) publication, Australian Petroleum Statistics, together with price data from the CPI for Automotive fuel. The quarterly indicator for household purchases of tyres is private kilometres travelled from the Survey of Motor Vehicle Use (SMVU) multiplied by the CPI for Spare parts and accessories for motor vehicles. The quarterly indicator for household expenditure on batteries and car accessories is derived from the number of vehicles registered to households and price data from the CPI. These indicators are aggregated to derive an indicator for total motoring goods, which is then used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. The national estimate for motoring goods is apportioned across each State and Territory by applying weights derived from the Household Expenditure Survey, Australia: Summary of Results. The following adjustment is made:
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Repair and maintenance expenditure | |||
|
The quarterly indicator for household expenditure on repairs and servicing is private kilometres travelled from the SMVU, multiplied by the CPI for Maintenance and repair of motor vehicles. For panel beating and smash repairs, the indicator is the number of vehicles registered to households multiplied by the CPI for Motor vehicle insurance. These indicators are aggregated to derive an indicator for total repair and maintenance expenditure, which is then used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. The national estimate for repair and maintenance expenditure is apportioned across each State and Territory by applying weights derived from the Household Expenditure Survey, Australia: Summary or Results. The following scope and coverage adjustments are made:
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Miscellaneous motoring expenditure | |||
|
The quarterly indicator for miscellaneous motoring expenses paid by households is the CPI for Other services in respect of motor vehicles multiplied by the number of vehicles registered to households. This indicator is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. The national estimate for miscellaneous motoring expenditure is apportioned across each State and Territory by applying weights derived from the Household Expenditure Survey, Australia: Summary of Results. The following scope and coverage adjustments are made:
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Volume estimates | |||
|
Current price estimates of expenditures on operation of vehicles by Australian residents in Australia are each re-valued using relevant components of the CPI Private motoring sub-group. Current price estimates of expenditures on operation of vehicles by non-residents in Australia are re-valued using a weighted average of relevant components from the CPI. Current price estimates of expenditures on operation of vehicles by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. In deriving volume estimates of operation of vehicles, the elemental volume estimate of purchases by non-residents in Australia is subtracted from the total of the other elemental volume components above. |
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Transport services | |||
Passenger transport by railway | |||
Current price estimates | |||
|
Quarterly indicator series for passenger transport by railway are derived using the revenue data of government transport authorities, from Government Finance Statistics, and data from private operators of rail services. The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for passenger transport by railway past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
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Volume estimates | |||
|
Current price estimates of expenditures on passenger transport by railway in Australia are re-valued using the CPI for Urban transport fares. |
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Passenger transport by road | |||
Current price estimates | |||
|
Quarterly indicator series for household expenditure on bus fares is derived using the revenue data of government transport authorities, from Government Finance Statistics, and data from major private operators of bus services. For expenditure on taxi and hire car charges, the indicator is the CPI price data on taxi fares, multiplied by an estimate of usage. These indicators are used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
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Volume estimates | |||
|
Current price estimates of expenditures on passenger transport by road in Australia are each re-valued using relevant components of the CPI Transport group. |
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Passenger transport by air | |||
Current price estimates | |||
|
The quarterly indicator series for domestic air fares is based on revenue data provided by the major airlines. For international air fares, the indicator is derived using data on imports of transportation services from the ABS Balance of Payments and revenue information provided by the major airlines. These indicator series are aggregated to derive an indicator for total passenger transport by air, which is then used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. The national estimates for passenger transport by air are apportioned across each State and Territory by applying weights derived from the Household Expenditure Survey, Australia: Summary of Results. The following scope and coverage adjustments are made:
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Volume estimates | |||
Current price estimates of expenditures on passenger transport by air in Australia are re-valued using relevant components of the CPI Holiday travel and accommodation sub-group. | |||
Passenger transport by sea and inland water | |||
Current price estimates | |||
|
Quarterly indicator series for household expenditure on domestic passenger transport by sea are derived using the revenue data of public transport authorities, from Government Finance Statistics. For international shipping fares, the quarterly data are moved forward using a constant growth rate. These indicator series are aggregated to derive an indicator for total passenger transport by sea and inland water, which is then used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
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Volume estimates | |||
|
Expenditures on domestic shipping fares in Australia are re-valued using the CPI for Urban transport fares. Expenditures on overseas shipping fares in Australia are re-valued using a specially constructed cruise ship price index. |
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Total transport services | |||
Volume estimates | |||
|
Current price estimates of expenditure on transport services by non-residents in Australia are re-valued using the CPI for Urban transport fares. Current price estimates of expenditures on transport services by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. In deriving the chain volume estimates of transport services, the elemental volume estimate of expenditure by non-residents in Australia is subtracted from the total of the other elemental volume components above. |
Item | Comment | |
Postal services | ||
Current price estimates | ||
|
The quarterly indicator series for postal services is estimated from data provided by Australia Post on the sales of stamps and postage labels, and the hire of mail boxes and bags. This indicator is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for postal services past the latest available benchmark. The national estimate is apportioned across each State and Territory by applying weights derived from the Household Expenditure Survey, Australia: Summary of Results. The following scope and coverage adjustments are made:
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Volume estimates | ||
Current price estimates of expenditures on postal services in Australia are re-valued using the CPI for Postal services. |
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Telecommunication services | ||
Current price estimates | ||
|
The quarterly indicators for household expenditure on telephone and internet services are derived using the SOCS Communications Services Survey (CSS) in Table 17 of Retail Trade, Australia. The CSS covers registered telecommunication providers to households. The quarterly indicators for telephone and internet services are aggregated to derive an indicator for total telecommunication services, which is then used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. The national estimate for telecommunication services is apportioned across each State and Territory by applying weights derived from the Household Expenditure Survey, Australia: Survey of Results. The following scope and coverage adjustments are made:
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Volume estimates | ||
|
Current price estimates of expenditures on telecommunication services in Australia are re-valued using the CPI for Telecommunication equipment and services. |
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Total communications services | ||
Volume estimates | ||
|
Current price estimates of expenditure on communication services by non-residents in Australia are re-valued using the CPI for Communication. Current price estimates of expenditures on communication services by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. In deriving the chain volume estimates of communication services, the elemental volume estimate of expenditure by non-residents in Australia is subtracted from the total of the other elemental volume components above. |
Item | Comment | ||
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Goods for recreation and culture | |||
Audio visual, photographic and data processing equipment and accessories | |||
Current price estimates | |||
|
Quarterly indicator series for audio visual, photographic and data processing equipment and accessories are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey. The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
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Volume estimates | |||
|
Current price estimates of purchases of audio-visual, photographic and information processing equipment excluding computers in Australia are re-valued using a weighted average of relevant components from the CPI Audio, visual and computing equipment and services sub-group. Current price estimates of purchases of computer equipment in Australia are re-valued using the CPI for Computing equipment. Current price estimates of purchases of audio-visual, photographic and information processing equipment by non-residents in Australia are re-valued using a weighted average of relevant components from the CPI Audio, visual and computing equipment and services sub-group. Current price estimates of purchases of audio-visual, photographic and information processing equipment by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. In deriving the chain volume estimates of audio-visual, photographic and information processing equipment, the elemental volume estimate of expenditure by non-residents in Australia is subtracted from the total of the other elemental volume components above. |
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Other major durables for recreation and culture | |||
Current price estimates | |||
|
Quarterly indicator series for other major durables for recreation and culture are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey. The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for other major durables for recreation and culture past the latest available benchmark. State/Territory estimates are derived from the national estimate using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
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Volume estimates | |||
|
Current price estimates of purchases of other major durables for recreation and culture by Australian residents in Australia are re-valued using a weighted average of components from the CPI Recreation and culture group. Current price estimates of purchases of other major durables for recreation and culture by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. Chain volume estimates of other major durables for recreation and culture are derived by aggregating the elemental volume components above. |
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Other recreational items and equipment | |||
Current price estimates | |||
|
For each of the components of other recreational items and equipment, quarterly indicator series are derived by weighting together the series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey. The indicator at the national level for each of these components is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
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Volume estimates | |||
|
Current price estimates of purchases of other recreational items and equipment by Australian residents in Australia are re-valued using a weighted average of relevant components from the CPI. Current price estimates of purchases of other recreational items and equipment by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. Chain volume estimates of other recreational items and equipment are derived by aggregating the elemental volume components above. |
||
Volume estimates | |||
Chain volume estimates of goods for recreation and culture are derived by aggregating the elemental volume components for the three subcategories above. | |||
Recreational and cultural services | |||
Sporting and recreational services | |||
Current price estimates | |||
|
The quarterly indicator series for sporting and recreational services is estimated resident population multiplied by the CPI for Sports participation. This indicator is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for Sporting and recreational services past the latest available benchmark. The national estimate is apportioned across each State and Territory by applying weights derived from the Household Expenditure Survey, Australia: Summary of Results. The following scope and coverage adjustments are made:
|
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Volume estimates | |||
|
Current price estimates of expenditures on sporting and recreational services in Australia are re-valued using the CPI for Sports participation. |
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Cultural and entertainment services | |||
Current price estimates | |||
|
The quarterly indicator for cinema and other admissions is box office takings provided by the Motion Picture Distributors Association of Australia (MPDAA). For Pay TV, the indicator is revenue information from major service providers. The quarterly indicator for television and video hire is moved forward using series from the ABS publication, Retail Trade, Australia. Quarterly indicator series for veterinary and other services for pets are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey. The above indicators are used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. State/Territory estimates for Cinema and other admissions and Pay TV are derived from the national estimates by applying weights from the Household Expenditure Survey, Australia: Summary of Results. State/Territory estimates of Television and video hire and Veterinary and other services for pets are calculated using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
||
Volume estimates | |||
|
Current price estimates of expenditures on cultural and entertainment services in Australia are re-valued using a weighted average of relevant components from the CPI Recreation and culture group. |
||
Net losses from gambling | |||
Current price estimates | |||
|
Quarterly indicators for net losses by resident households on gambling are derived using data provided by Government Finance Statistics. These data include taxes levied on gaming machines, casinos and racing, lottery ticket sales and prizes paid, and TAB turnover and dividends paid. The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for net losses from gambling past the latest available benchmark. State/Territory estimates are derived from the national estimate using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
||
Volume estimates | |||
|
Current price estimates of net losses from gambling in Australia are re-valued using the All groups CPI excluding medical and hospital services. This treatment is not an attempt to measure the quantum of gambling as such, but rather to estimate the purchasing power, over other consumer goods and services, attributable to net losses from gambling. |
||
Total recreational and cultural services | |||
Volume estimates | |||
|
Current price estimates of expenditure on recreational and cultural services by non-residents in Australia are re-valued using the CPI for Services. Current price estimates of expenditures on recreational and cultural services by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. In deriving the chain volume estimates of recreational and cultural services, the elemental volume estimate of expenditure by non-residents in Australia is subtracted from the total of the other elemental volume components above. |
||
Newspapers, books and stationery | |||
Current price estimates | |||
|
Quarterly indicator series for newspapers, books and stationery are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey. The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for newspapers, books and stationery past the latest available benchmark. State/Territory estimates are derived from the national estimate using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
||
Volume estimates | |||
|
Current price estimates of purchases of newspapers, books and stationery by Australian residents in Australia are re-valued using the CPI for Newspapers, books and stationery. Current price estimates of purchases of newspapers, books and stationery by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. Chain volume estimates of newspapers, books and stationery are derived by aggregating the elemental volume components above. |
||
Total recreation and culture services | |||
Volume estimates | |||
Chain volume estimates of recreation and culture are derived by aggregating the elemental volume estimates for its subcategories. |
Item | Comment | ||
---|---|---|---|
Education services | |||
Current price estimates | |||
Tertiary education | |||
|
Data on government receipts from the Higher Education Contribution Scheme (HECS), obtained from the Government Finance Statistics, is used as the indicator to compile estimates of expenditure on HECS. Quarterly indicator series for the remaining components of tertiary education are derived by multiplying estimated resident population by the CPI for Tertiary education. The indicators for all the subcomponents of this COICOP category are summed to derive an indicator for total education. The aggregated indicator is used to allocate benchmarked annual estimates of education to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
||
Post-secondary education | |||
|
Quarterly indicator series for post-secondary education is derived by multiplying estimated resident population by the CPI for Secondary education. The indicators for all the subcomponents of this COICOP category are summed to derive an indicator for total education. The aggregated indicator is used to allocate benchmarked annual estimates of education to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. State/Territory estimates are derived from the National estimates using the relative proportions in the indicator series. The following adjustment is made:
|
||
Primary and secondary education | |||
|
The quarterly indicators for household expenditure on government primary and secondary education are benchmarked to the Household Expenditure Survey, Australia: Summary of Results, and moved forward using estimated resident population and CPI price data. Similarly for private tutoring services, the indicator series are benchmarked to the Household Expenditure Survey, Australia: Summary of Results and moved forward using estimated resident population and the CPI for Secondary education. Quarterly indicator series for private primary and secondary education are derived by multiplying estimated resident population by the CPI for Secondary education. The indicators for all the subcomponents of this COICOP category are summed to derive an indicator for total education. The aggregated indicator is used to allocate benchmarked annual estimates of education to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
||
Preschools | |||
|
The quarterly indicators for preschool education are benchmarked to the Household Expenditure Survey, Australia: Summary of Results and moved forward using estimated resident population and the CPI for Preschool and primary education. The indicators for all the subcomponents of this COICOP category are summed to derive an indicator for total education. The aggregated indicator is used to allocate benchmarked annual estimates of education to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
||
Volume estimates | |||
|
Current price estimates of purchases of education services by Australian residents in Australia are re-valued using the CPI for Education. Current price estimates of purchases of education services by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. Chain volume estimates of education services are derived by aggregating the elemental volume components above. |
Item | Comment | |
---|---|---|
Catering | ||
Current price estimates | ||
|
Quarterly indicator series for catering are derived by weighting together series from the ABS publications, Retail Trade, Australia and Business Indicators, Australia, based on weights from the 2005-06 Retail and Wholesale Industries Survey. The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for catering past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
|
Volume estimates | ||
|
Current price estimates of expenditure on catering services by Australian residents in Australia are re-valued using a weighted average of relevant components from the CPI. Current price estimates of expenditure on catering services by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. Chain volume estimates of catering services are derived by aggregating the elemental volume components above. |
|
Accommodation services | ||
Current price estimates | ||
|
Quarterly indicators for Temporary accommodation services are derived from accommodation turnover data from Business Indicators, Australia. For hostel accommodation for the aged or handicapped, the indicator is the All groups CPI multiplied by estimated residential population. These indicators are used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
|
Volume estimates | ||
|
Current price estimates of purchases of accommodation services by Australian residents in Australia are re-valued using the CPI for Domestic holiday travel and accommodation. Current price estimates of purchases of accommodation services by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. Chain volume estimates of accommodation services are derived by aggregating the elemental volume components above. |
|
Total hotel, cafes and restaurants services | ||
Volume estimates | ||
Chain volume estimates of hotels, cafes and restaurants are derived by aggregating the elemental volume estimates. |
Item | Comment | ||
---|---|---|---|
Personal care | |||
Current price estimates | |||
|
The quarterly indicator series for hairdressers and beauty salons are benchmarked to the Household Expenditure Survey, Australia: Summary of Results and moved forward using series from the ABS publication, Retail Trade, Australia. For perfumes and cosmetics, quarterly indicator series are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey. The indicators for these two subcomponents are used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
||
Volume estimates | |||
|
Current price estimates of purchases of personal care by Australian residents in Australia are re-valued using a weighted average of relevant components from the CPI Furnishings, household equipment and services group. Current price estimates of purchases of personal care by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. Chain volume estimates of personal care are derived by aggregating the elemental volume components above. |
||
Personal effects | |||
Current price estimates | |||
|
The ABS publication, Retail Trade, Australia is used as the indicator to derive quarterly estimates for this series. Quarterly indicator series for both jewellery, watches and clocks and Other personal effects are derived by weighting together series from ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey (RIS/WIS). These indicators at the national level are used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series. The following scope and coverage adjustments are made:
|
||
Volume estimates | |||
|
Current price estimates of purchases of personal effects by Australian residents in Australia are re-valued using a weighted average of relevant components from the CPI. Current price estimates of purchases of personal effects by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. Chain volume estimates of personal effects are derived by aggregating the elemental volume components above. |
||
Insurance | |||
Current price estimates | |||
Homeowner and household insurance | |||
Quarterly estimates of the insurance service charge for general insurance of householders' effects are derived using linear trend interpolation and extrapolation of the annual estimates. | |||
Motor vehicle insurance | |||
Quarterly estimates of the insurance service charge for motor vehicle insurance are derived using linear trend interpolation and extrapolation of the annual estimates. | |||
Health insurance | |||
Quarterly estimates of the insurance service charge for health insurance are derived using linear trend interpolation and extrapolation of the annual estimates. | |||
Other non-life insurance by households as consumers | |||
Quarterly estimates of the insurance service charge for other non-life insurance are derived using linear trend interpolation and extrapolation of the annual estimates. | |||
Life insurance and superannuation | |||
|
Quarterly estimates of Life insurance and superannuation are derived using an indicator of the insurance service charge for pension funds and life insurance. (See the methodology for current price insurance services output indicator described for quarterly gross value added (GVA), Insurance and superannuation funds in Table 9.64.) This indicator is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. |
||
Workers’ compensation insurance | |||
|
Quarterly estimates of Workers' compensation are derived using linear trend interpolation and extrapolation of the annual estimates. |
||
Volume estimates | |||
|
Current price estimates of purchases of non-life insurance of householders' effects, other non-life insurance, health insurance and life insurance by Australian residents in Australia are each re-valued using the All groups CPI. Current price estimates of purchases of motor vehicle insurance by Australian residents in Australia are re-valued using the CPI for Vehicle insurance. Current price estimates of purchases of workers' compensation by Australian residents in Australia are re-valued using the relevant component of the Wage Price Index. Current price estimates of purchases of insurance by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. Chain volume estimates of Insurance are derived by aggregating the elemental volume components above. |
||
Financial services | |||
Current price estimates | |||
|
Quarterly estimates for the explicit charges levied by financial institutions are obtained by linear interpolation and extrapolation of the annual estimates. Taxes on financial transactions passed on to households are set to a fixed value each quarter. Quarterly estimates of Financial Intermediation Services Indirectly Measured (FISIM) are obtained using an indicator of the household use of FISIM generated by banks (see the methodology for quarterly gross operating surplus (GOS), financial corporations and quasi-corporations in Table 11.25.) This indicator is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. The following scope and coverage adjustments are made:
|
||
Volume estimates | |||
|
Current price estimates of purchases of explicitly charged financial services by Australian residents in Australia are re-valued using the All groups CPI. Current price estimates of taxes levied on financial transactions are re-valued using the All groups CPI excluding Housing. Quarterly estimates of FISIM are obtained using a chain volume indicator of the household sector's use of FISIM generated by banks. (See the methodology for the quarterly gross value-added finance services described in Table 9.62.) This methodology derives a chain volume estimate for bank total FISIM output and the share of its use allocated to household final consumption expenditure (HFCE). Current price estimates of purchases of financial services by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. Chain volume estimates of financial services are derived by aggregating the elemental volume components above. |
||
Total insurance and other financial services | |||
Volume estimates | |||
|
Chain volume estimates of insurance and other financial services are derived by aggregating the elemental volume estimates for these subcategories. |
||
Other services | |||
Current price estimates | |||
Personal outlays on miscellaneous services | |||
|
For dry cleaning and laundering services, the quarterly indicator is estimated resident population multiplied by the CPI for Repairs to household durables. The quarterly indicator for repair and maintenance not elsewhere included is derived using the estimated resident population estimates and the CPI for Hairdressing and personal grooming services. For expenditure on funerals, the quarterly indicator is the number of deaths, taken from the ABS publication, National, State and Territory Population. The quarterly indicators for estimates of household expenditure on child care services are the number of children under 10, from the ABS publication, National, State and Territory Population, and the CPI for Child care. Household expenditure on photographic services is estimated using the CPI for Photographic services as the indicator. Estimates of domestic services are moved forward quarterly using estimated resident population and the CPI for Gardening services. Household expenditure on removalists' services, advertising services, services to students at post-secondary institutions, professional services other than health and other miscellaneous services are all derived using the CPI for Services as the indicator. The above indicators are used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark. State/Territory estimates are derived from the National using the relative proportions in the indicator series. Estimates of expenditure on public authority fees (such as passport and marriage certificate charges) are moved forward quarterly using a constant growth rate. The following scope and coverage adjustments are made:
|
||
NPISH | |||
|
Quarterly estimates of the current expenditure of non-profit institutions serving households (NPISHs) not elsewhere covered are moved forward using a constant growth rate. |
||
Volume estimates | |||
|
Current price estimates of purchases of other services by Australian residents in Australia are re-valued using relevant components of the CPI and Wage Price Index (WPI). Current price estimates of purchases of other services by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes. Chain volume estimates of other services are derived by aggregating the elemental volume components above. |
||
Total other goods and services (i.e. personal care, personal effects and other services) | |||
Volume estimates | |||
Chain volume estimates of other goods and services are derived by aggregating the elemental volume estimates for its subcategories. | |||
Total miscellaneous services | |||
Volume estimates | |||
Chain volume estimates of miscellaneous goods and services are derived by aggregating the elemental volume components for Insurance and other financial services and other goods and services. |
Government final consumption expenditure
Concept
10.65 Government final consumption expenditure (GFCE) is current expenditure by general government bodies on services to the community such as defence, education, and public order and safety. Because these are provided free of charge or at charges which cover only a small proportion of costs, the government is considered to be the consumer of its own output. Government output has no directly observable market value, and so it is valued in the national accounts at its cost of production. GFCE is estimated by deducting the value of any proceeds from sales of government output (e.g. statistical publications by the ABS) from this value of government output.
10.66 GFCE covers net outlays by general government on goods and services for current purposes; that is, outlays which do not result in the creation of capital assets, or in the acquisition of land and existing buildings or second-hand capital goods. Transfer payments are not included; for example, interest payments on government debt securities and social assistance benefits.
10.67 2008 SNA revised the treatment of defence expenditure. The purchases of durable military equipment such as ships and aircraft used as weapons platforms, and outlays on construction works that can only be used for military purposes are now to be treated as capital expenditure. (Expenditure on major items of military equipment with no equivalent civilian use was included in GFCE in 1993 SNA). The ASNA has adopted the 2008 SNA recommendations in this regard. Current expenditures such as compensation of employees and consumable military items such as boots, petrol and bullets, will continue to be treated as GFCE.
10.68 Government final consumption expenditure can be regarded as comprising the following:
compensation of employees paid to employees of general government bodies (other than any employees producing capital goods) | |
plus | intermediate consumption of goods and services (e.g. purchases of office supplies and the services of consultants) |
less | the value of goods and services sold by general government to other sectors |
plus | consumption of fixed capital |
plus | the timing adjustment for overseas purchases of defence equipment. |
10.69 Intermediate consumption for general government includes general government's share of the imputed financial services provided by banks and other financial intermediaries (FISIM).
10.70 ASNA classifies GFCE according to the functions of government. One classification has been developed; namely, the Classification of the Functions of Government - Australia (COFOG-A). It is designed for classifying current transactions (such as consumption expenditure, subsidies and current transfers), capital outlays (capital formation and capital transfers), and acquisition of financial assets by general government and its subsectors. The categories used in the classification are in accordance with the 2008 SNA Classification of the Functions of Government (COFOG), and are as follows:
1 | General public services |
2 | Defence |
3 | Public order and safety |
4 | Economic affairs |
5 | Environmental protection |
6 | Housing and community amenities |
7 | Health |
8 | Recreational, cultural and religion |
9 | Education |
10 | Social protection |
11 | Transport |
10.71 COFOG is also used to help distinguish between expenditure by government on individual services and collective services. By convention, all government final consumption expenditures under each of the following headings are treated as expenditures on individual services, except for expenditures on general administration, regulation, research, etc.:
7 | Health |
8 | Recreation, culture and religion |
9 | Education |
10 | Social protection |
Changes to information regarding COFOG and GPC
From 04/03/2024,
ASNA classifies GFCE according to the functions of government. One classification has been developed; namely the Classification of the Functions of Government- Australia. This publication previously stated that the Government Purpose Classification (GPC) and Local Government Purpose Classification (LGPC) were also used. Paragraph 10.70.
COFOG is used to help distinguish between expenditure by government on individual services and collective services. This publication previously stated that the GPC was also used. Paragraph 10.71.
Removed paragraph 10.72 as it is no longer relevant after the changes mentioned above.
Paragraph 10.70 prior to 04/03/2024 update
Paragraph 10.71 prior to 03/04/2024 update
Paragraph 10.72 prior to 04/03/2024 update
10.73 GFCE covers net outlays by general government on goods and services for current purposes; that is, outlays which do not result in the creation of capital assets, or in the acquisition of land and existing buildings or second-hand capital goods. Transfer payments are not included, for example, interest payments on government debt securities and social assistance benefits.
10.74 Detailed estimates of government final consumption expenditure classified by purpose are available, as a general rule, from 1961-62.
Sources and methods
10.75 GFCE estimates are compiled using Government Finance Statistics (GFS) data. Data is obtained from the Department of Finance, state and territory treasuries, local governments and universities. GFS data is classified by Economic Type Framework (ETF) which includes employee expenses, non-employee expenses and revenue from sales of goods and services that are captured in government consumption.
10.76 The current method is based on the Australian System of Government Finance Statistics: Concepts Sources and Methods, Australia 2015 (AGFS15) which was implemented in the Australian National Accounts in 2017. Estimates on an AGFS15 basis which includes data classified by ETF are available back to 2002. Estimates of Government Consumption prior to 2002 have been backcast to ensure consistency across the time series.
10.77 GFCE is compiled as the sum of the following components:
employee expenses (i.e. wages, salaries, superannuation, and redundancies) | |
social benefits to households (i.e. Medicare, Pharmaceutical Benefits, Child Care Subsidy, Aged care, National Disability Insurance Scheme, transport and energy concessions) | |
other non-employee expenses (such as supplies, contractors and materials) | |
(less) | sales of goods and services (such as licence fees, tuition fees and hospital fees) |
(plus) | ASNA adjustments |
10.78 ASNA adjustments are scope and coverage adjustments which include the following four components:
- Consumption of fixed capital (depreciation)
- Consumption of FISIM
- State and local consolidation adjustments (i.e. payroll tax paid by departments to own state treasury)
- (less) Intellectual property which are capitalised (i.e. computer software, research and development and artistic originals)
Sources and methods - Annual
Benchmark years
10.79 Annual estimates of GFCE are disaggregated by level of government. The level of government disaggregation is National (which is further split between defence and non-defence) and State and local, which are combined. The National level of government is defined to include Commonwealth plus government bodies that are considered to be jointly administered by the Commonwealth, state and local governments. Public universities are the only government bodies that are currently considered to be jointly administered.
10.80 The table below outlines the data sources and methods used in the estimation of benchmark years estimates for GFCE. It includes both the current price estimates and volume estimates.
Item | Comment |
---|---|
Current price estimates | |
The data source is annual Government Finance Statistics (GFS). It is obtained from the Department of Finance, state and territory treasuries, local government and universities. The following adjustments are made to the GFS data:
GFS data are classified according to the General Purpose Classification (GPC). The GPC level data is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The GFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial GFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. The supply-use benchmark is disaggregated to National defence, National non-defence and State and local level. GFCE for each sector is derived using the quarterly data and the proportion of each sector to the total is applied to the supply-use benchmark. | |
Volume estimates | |
GFCE current price estimates are price deflated to obtain volume estimates and are summed to derive a total GFCE estimate. GFCE estimates are deflated by component using a range of prices indexes and government input cost deflators. A government input cost deflator is a weighted price index that measures input costs incurred by the government to provide the good/service. Given most government services are non-market and have no output price, prices are measured using input costs. The input cost deflator can include several underlying indexes from the Producer Price Index (PPI), Wage Price Index (WPI) and Consumer Price Index (CPI). |
Latest year
10.81 GFCE data for the latest financial year (or latest two years for the June quarter in Australian National Accounts: National Income, Expenditure and Product is the sum of data reported for the four quarters for both current price estimates and chain volume measures.
10.80 The tables below outline the data sources and methods used in the estimation of latest year estimates for GFCE by level of government. They include both the current price estimates and volume estimates.
Item | Comment |
Current price estimates | |
|
Government Finance Statistics is the data source which provides data relating to defence. It is sourced from the Department of Finance. The data obtained are for the expenditures on defence employees (i.e. wages and salaries and employer social contributions) and on other defence inputs (i.e. operating expenses such as rent, electricity, stationery, etc.) plus details of the value of sales of goods and services. The estimate for government expenditure on Financial Intermediation Services Indirectly Measured (FISIM) is included as part of the costs (i.e. intermediate consumption) of general government. Consumption of fixed capital is used in place of the depreciation recorded in government accounts. Consumption of fixed capital is the preferred conceptual treatment as it is compiled on a current replacement basis rather than the historical cost basis used to compute depreciation allowances. It is obtained from the Perpetual Inventory Method (PIM). Current expenditures paid for in-house development of intellectual property are not included as intermediate consumption. They are capitalised and included in gross fixed capital formation. National Defence expenditure state split ratios are updated on an annual basis from the Defence Force Annual Report. State ratios are compiled using the number of permanent personnel and reserves by location (excluding overseas members). |
Volume estimates | |
|
Quarterly defence current price estimates are price deflated by each component to obtain volume estimates and are summed to derive a total defence estimate. Annual volume estimates are the sum of four quarters. The deflator for employee expenses is weighted using wages and salaries data on army, airforce, navy, reserves and APS staff. The underlying indexes weighted include WPI Public administration and safety and WPI All industries. Both sales of goods and services and use of goods and services are price deflated using a Commonwealth defence input cost deflator. |
Item | Comment |
---|---|
Current price estimates | |
|
Government Finance Statistics is the data source. It is obtained from the Department of Finance. Public universities data are sourced from a survey of a sample of universities. Intellectual property products estimates are recorded as gross fixed capital formation in the ASNA. The data obtained are for the expenditures by Commonwealth agencies (other than those classified to Defence) and by public universities on employees (i.e. wages and salaries and employer social contributions) and on other inputs (i.e. operating expenses such as rent, electricity, stationery, etc.) plus details of the value of sales of goods and services. The estimate for government expenditure on Financial Intermediation Services Indirectly Measured (FISIM) is included as part of the costs (i.e. intermediate consumption) of general government. Consumption of fixed capital is used in place of the depreciation recorded in government accounts. Consumption of fixed capital is the preferred conceptual treatment as it is compiled on a current replacement basis rather than the historical cost basis used to compute depreciation allowances. It is obtained from the Perpetual Inventory Method (PIM). Current expenditures paid for in-house development of intellectual property are not included as intermediate consumption. They are capitalised and included in gross fixed capital formation. Commonwealth non-defence expenditure (excluding social benefits to households in kind) state split ratios are updated on an annual basis using Commonwealth public sector cash, wages and salaries from the Survey of Employment and Earnings (SEE). Commonwealth non-defence social benefits to households in kind are split to state using estimated resident population. |
Volume estimates | |
Quarterly national non-defence current price estimates are price deflated by each component to obtain volume estimates and are summed to derive a total national non-defence estimate. Annual volume estimates are the sum of quarters. Commonwealth non-defence employee expenses are price deflated using WPI All industries (Commonwealth). Social benefits to households are deflated by a weighted index comprised of a Medicare, PBS, Child care and Commonwealth government input cost deflator. Other non-employee expenses are price deflated using a Commonwealth government input cost deflator. Multi-jurisdictional employee expenses are price deflated using WPI Education and training (public). Sales of goods and services are deflated using CPI Higher education fees, while other non-employee expenses is price deflated using a Commonwealth (Multi-jurisdictional) input cost deflator. |
Item | Comment |
---|---|
Current price estimates | |
|
The State and Territory treasuries provide the State and Territory level data. Local government data are sourced from annual Government Finance Statistics. The data obtained are for the expenditures by State and local government agencies on employees (i.e. wages and salaries and employer social contributions) and on other inputs (i.e. operating expenses such as rent, electricity, stationery, etc.) plus details of the value of sales of goods and services. The estimate for government expenditure on Financial Intermediation Services Indirectly Measured (FISIM) is included as part of the costs (i.e. intermediate consumption) of general government. Consumption of fixed capital is used in place of the depreciation recorded in government accounts. Consumption of fixed capital is the preferred conceptual treatment as it is compiled on a current replacement basis rather than the historical cost basis used to compute depreciation allowances. It is obtained from the Perpetual Inventory Method (PIM). Current expenditures paid for in-house development of intellectual property are not included as intermediate consumption. They are capitalised and included in gross fixed capital formation. |
Volume estimates | |
|
Quarterly state and local current price estimates are price deflated by each component to obtain volume estimates and are summed to derive a total state and local estimate. Annual volume estimates are the sum of quarters. State and local employee expenses are price deflated using WPI All industries (State and local government). Sales of goods and services are price deflated by a weighted index including a state and local government input cost deflator, state and local health input cost deflator and CPI Vocational Education and Training (VET) fees. Social benefits to households are price deflated using a state and local government input cost deflator. Other non-employee expenses are price deflated by a weighted price index comprised of a state and local government input cost deflator, state and local health input cost deflator and state and local education input cost deflator. |
Sources and methods - Quarterly
10.83 Quarterly estimates of GFCE are disaggregated by the same levels of government as the annual benchmarks. The level of government disaggregation is National (which is further split between defence and non-defence) and State and local, which are combined. The National level of government is defined to include Commonwealth plus government bodies that are considered to be jointly administered by the Commonwealth and State and local governments. Public universities are the only government bodies that are currently considered to be jointly administered.
10.84 The tables below outline the data sources and methods used in the estimation of quarterly GFCE by level of government. They include both the current price estimates and volume estimates.
Item | Comment |
---|---|
Current price estimates | |
|
The quarterly Government Finance Statistics is the data source which provides data relating to expenditures on defence. It is sourced from the Department of Finance. It is used as an indicator which is applied to the annual benchmarks. The data obtained are for the expenditures on defence employees (i.e. wages and salaries and employer social contributions) and on other defence inputs (i.e. operating expenses such as rent, electricity, stationery, etc.) plus details of the value of sales of goods and services. The estimate for government expenditure on Financial Intermediation Services Indirectly Measured (FISIM) is included as part of the costs (i.e. intermediate consumption) of general government. Consumption of fixed capital is used in place of the depreciation recorded in government accounts. Consumption of fixed capital is the preferred conceptual treatment as it is compiled on a current replacement basis rather than the historical cost basis used to compute depreciation allowances. It is obtained from the Perpetual Inventory Method (PIM). Current expenditures paid for in-house development of intellectual property are not included as intermediate consumption. They are capitalised and included in gross fixed capital formation. |
Volume estimates | |
|
Defence current price estimates are price deflated by each component to obtain volume estimates and are summed to derive a total defence estimate. The deflator for employee expenses is weighted using wages and salaries data on army, airforce, navy, reserves and APS staff. The underlying indexes weighted include WPI Public administration and safety and WPI All industries. Both sales of goods and services and use of goods and services are price deflated using a Commonwealth defence input cost deflator. |
Item | Comment |
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Current price estimates | |
|
Quarterly data are directly sourced from the Department of Finance quarterly ledger. Data for universities are collected from a sample of 36 public universities. Intellectual property products estimates are recorded as gross fixed capital formation in the ASNA. The data obtained are for the expenditures by Commonwealth agencies (other than those classified to Defence) and by public universities on employees (i.e. wages and salaries and employer social contributions) and on other inputs (i.e. operating expenses such as rent, electricity, stationery, etc.) plus details of the value of sales of goods and services. The estimate for government expenditure on Financial Intermediation Services Indirectly Measured (FISIM) is included as part of the costs (i.e. intermediate consumption) of general government. Consumption of fixed capital is used in place of the depreciation recorded in government accounts. Consumption of fixed capital is the preferred conceptual treatment as it is compiled on a current replacement basis rather than the historical cost basis used to compute depreciation allowances. It is obtained from the Perpetual Inventory Method (PIM). Current expenditures paid for in-house development of intellectual property are not included as intermediate consumption. They are capitalised and included in gross fixed capital formation. |
Volume estimates | |
|
National non-defence current price estimates are price deflated by each component to obtain volume estimates and are summed to derive a total national non-defence estimate. Commonwealth non-defence employee expenses are price deflated using WPI All industries (Commonwealth). Social benefits to households are price deflated by a weighted index comprised of a Medicare, PBS, Child care and Commonwealth government input cost deflator. Other non-employee expenses are price deflated using a Commonwealth government input cost deflator. Multi-jurisdictional employee expenses are price deflated using WPI Education and training (public). Sales of goods and services are price deflated using CPI Higher education fees while other non-employee expenses is price deflated using a Commonwealth (Multi-jurisdictional) input cost deflator. |
Item | Comment |
---|---|
Current price estimates | |
|
The State and Territory treasuries provide the State and Territory level data. The data comes from monthly and quarterly statements of receipts and expenditure, compiled from agency based financial reporting. Local government data are sourced from a quarterly sample (approximately 15 per cent) of local government authorities. The data obtained are for the expenditures by State and local government agencies on employees (i.e. wages and salaries and employer social contributions) and on other inputs (i.e. operating expenses such as rent, electricity, stationery, etc.) plus details of the value of sales of goods and services. The estimate for government expenditure on Financial Intermediation Services Indirectly Measured (FISIM) is included as part of the costs (i.e. intermediate consumption) of general government. Consumption of fixed capital is used in place of the depreciation recorded in government accounts. Consumption of fixed capital is the preferred conceptual treatment as it is compiled on a current replacement basis rather than the historical cost basis used to compute depreciation allowances. It is obtained from the Perpetual Inventory Method (PIM). Current expenditures paid for in-house development of intellectual property are not included as intermediate consumption. They are capitalised and included in gross fixed capital formation. |
Volume estimates | |
|
State and local current price estimates are price deflated by each component to obtain volume estimates and are summed to derive a total state and local estimate. State and local employee expenses are price deflated using WPI All industries (State and local government). Sales of goods and services are price deflated by a weighted index including a state and local government input cost deflator, state and local health input cost deflator and CPI VET fees. Social benefits to households are price deflated using a state and local government input cost deflator. Other non-employee expenses are price deflated by a weighted price index comprised of a state and local government input cost deflator, state and local health input cost deflator and state and local education input cost deflator. |
Gross fixed capital formation
Gross capital formation
10.85 Gross capital formation refers to the gross additions to national wealth that result from three categories of investment:
- gross fixed capital formation, measured by the total value of a producer's acquisitions, less disposals, of fixed assets during the accounting period;
- changes in inventories, equal to the value of inventories acquired by an enterprise less the value of inventories disposed of during the accounting period; and
- acquisitions less disposals of valuables.
10.86 Valuables are assets that are not used primarily for production or consumption, that do not deteriorate over time under normal conditions and that are acquired and held primarily as a store of value. Valuables consist of precious stones and metals (provided that they are not intended to be used as intermediate inputs into processes of production); paintings, sculptures, etc. recognised as works of art; antiques; and other valuables such as jewellery fashioned from precious stones and metals. At present, estimates of gross capital formation flowing from acquisitions less disposals of valuables are not included in Australia's national accounts.
10.87 Amounts paid for non-produced, non-financial assets such as land, mineral and energy resources, and contracts, leases and licenses, represent a transfer of wealth, not an addition to it. They are not included in gross fixed capital formation, although such expenditures are classified as being of a capital nature and are included in the relevant capital accounts. Costs associated with the transfer of ownership of such assets are included in GFCF.
10.88 Fixed capital formation estimates are shown on a 'gross' basis; that is, deductions have not been made for the consumption of existing assets during the production process. The estimates, however, are net of the sale of second-hand capital assets at the total level (only to non-residents and sales of used motor vehicles to households for non-business use). However, the net sale of second-hand capital assets can be significant between sectors, such as government and private corporations, in the domestic economy.
Concept
10.89 Gross fixed capital formation is equal to the total value of a producer's acquisitions, less disposals, of fixed assets plus capital work done on own account during the accounting period plus certain additions to the value of non-produced assets realised by the productive activity of institutional units (e.g. land improvements). The latter include reclamation of land from the sea, clearance of forests to bring land into use for the first time, draining of marshes or irrigation of deserts, and prevention of flooding by erection of breakwaters, sea walls or flood barriers. These activities may result in the creation of new structures such as seawalls, flood barriers, dams, etc., that are not used directly in production but are constructed to make additional land available.
10.90 It is necessary to define what constitutes a fixed asset and what does not. All goods and services supplied to the economy by means of production, imports, or the disposal of produced assets must be used for exports, consumption (intermediate or final) or as part of capital formation. The boundary line between those products that are retained in the economy and are used for consumption and those products that are used for capital formation is known as the asset boundary. The asset boundary for produced assets consists of assets that have come into existence as outputs from processes of production, and that are themselves used repeatedly or continuously in other processes of production over periods of time longer than one year. Produced assets include intellectual property products which were previously termed “intangible fixed assets”.
10.91 The fundamental point of distinction between intermediate consumption and gross fixed capital formation is whether products are used up during the course of a particular period or whether they yield benefits beyond that period. In the case of households as consumers, all expenditure except the purchase of dwellings is treated as final consumption expenditure, whether or not it yields future benefits. Therefore, a purchase of a motor vehicle by a household (but not by an associated unincorporated enterprise) is treated as final consumption expenditure, whereas the same purchase by a business would be classified to GFCF.
10.92 The acquisition of non-produced non-financial natural resource assets such as land, mineral and energy resources, and natural timber tracts are not included in GFCF. Capital costs associated with the extension or development of these assets are included, as are outlays on land reclamation and improvement. Expenditure associated with the improvement and alteration of durable assets which significantly extend their productive life is also included, but ordinary repairs and maintenance expenses are not.
10.93 GFCF is not recorded until the ownership of the fixed assets is transferred to the unit that intends to use them in production. For example, new machinery and equipment that has not yet been sold forms part of additions to inventories of finished goods held by the producers of the assets. Similarly, imported machinery and equipment is not recorded as GFCF until it is acquired by the unit that intends to use it. Assets which are purchased under a financial lease arrangement are treated as involving an effective change of ownership, and are therefore recorded as GFCF by the lessee, not the lessor. In contrast operating leases are treated as output for the lessor and a purchase of a service by the lessee, as economic ownership of the underlying asset does not change.
10.94 Conventions have been adopted in the SNA in areas where boundary problems arise. For example, work put in place on structures (including dwellings, roads, dams, ports and other forms of construction) is considered to be GFCF of the unit for which the construction is being carried out, at the time the work is put in place. On the other hand, work on uncompleted heavy machinery and equipment (such as shipbuilding) during an accounting period is included as part of inventories of work-in-progress of the producer of the goods.
Classification of fixed assets
10.95 GFCF is classified by type of asset. There is substantial diversity in the different types of GFCF that may take place. A brief description of asset types used in the ASNA are presented below.
10.96 Dwellings comprises houses and other dwellings such as flats, apartments, home units, villa units, duplexes, mobile homes, caravans, etc. used entirely as the principal residences of households. Dwellings can also include residential dwelling buildings for communities such as retirement homes, military personnel, etc. Expenditure on the construction of hostel-type accommodation, prisons and motels is included in non-dwelling construction as this is not the primary residence for households. Also included are capitalised services, such as design and architectural fees, etc. and alterations and additions which comprises construction activity carried out on existing dwellings. This includes adding to or diminishing floor area, altering the structural design of dwellings and affixing rigid components which are integral to the functioning of the dwelling.
10.97 Ownership transfer costs comprise the various fees which are incurred by either the buyer or seller of real estate, namely legal fees on transfer, real estate sales commissions, stamp duties on transfer and other government charges (e.g. Water boards, Land Tax Office, etc.). Costs associated with acquiring and disposing of assets may be described as costs of ownership transfer. The value of work performed 'in house' (e.g. conveyancing performed by an enterprise's own legal staff) is excluded. It should be noted that estimates of ownership transfer costs are not separately identified for the public sector. In any event, transfer expenses of public authorities are relatively insignificant because the majority of public authorities are exempt from stamp duty, they frequently use their own staff to undertake the associated legal work and they make only limited use of real estate agents.
10.98 Non-dwelling construction comprises such assets as industrial, commercial, and non-dwelling residential buildings; water and sewerage installations; lifts, heating, ventilating and similar equipment forming an integral part of buildings and structures; land development; roads; bridges; wharves; harbours; railway lines; pipelines; and power and telephone lines. The category also includes expenditures that lead to major improvements in the quantity, quality, or productivity of land, or prevent its deterioration. Also included are capitalised services, such as design and architectural fees, etc.
10.99 Machinery and equipment include vehicles; aircrafts; ships; electrical apparatus; office equipment; furniture, fixtures and fittings not forming an integral part of buildings or structures; durable containers; special tooling, etc.
10.100 Weapons systems includes expenditures on defence weapon delivery systems such as warships, submarines, fighter aircraft, bombers, and tanks. In the 2008 SNA these are now capitalised, however the weapons (i.e. ammunition, missiles, rockets, bombs, etc.) are still treated as military inventories. This treatment has been incorporated in ASNA.
10.101 Cultivated biological resources cover animal resources (livestock) that are used repeatedly or continuously to produce products such as milk, wool etc., or are used as breeding stock, for transportation, racing or entertainment and tree, crop and plant resources (orchard growth) yielding repeat products whose natural growth and regeneration are under the direct control, responsibility and management of institutional units. In the ASNA, livestock (cattle, pigs, horses, and sheep) is included in GFCF or work-in-progress (changes in inventories), depending on an animal's role in production. Breeding stock, dairy cattle and sheep raised for wool are capitalised; animals raised for food are treated as work-in-progress until slaughtered.
10.102 Intellectual property products are as a result of creative activity, research and development, investigation or innovations leading to knowledge that the developers can market or use for their own benefit. These are produced fixed assets. Acquisitions, less disposals, of new and existing intellectual property products are subdivided by type of asset:
- Research and development comprising the value of expenditures on creative work undertaken on a systematic basis in order to increase the stock of knowledge, including knowledge of man, culture and society, and use of this stock of knowledge to devise new applications.
- Mineral and petroleum exploration consisting of the value of expenditures on exploration for petroleum and natural gas and for non-petroleum deposits and subsequent evaluation of the discoveries made.
- Computer software covering both purchased software and software developed in-house. Gross fixed capital formation also includes the purchase or development of databases that the enterprise expects to use in production over a period of more than one year. However, the ASNA does not separately identify databases from computer software as recommended by the 2008 SNA.
- Entertainment, literary and artistic originals comprising the originals of films, sound recordings, manuscripts, tapes, models, etc. on which drama performances, sporting events, literary and artistic output etc. are recorded or embodied.
Sources and methods - Annual
Benchmark years
10.103 Annual estimates of GFCF are primarily disaggregated between the private and public sectors. The private sector GFCF is presented by type of asset. The public sector GFCF is split according to institutional sector (i.e. public corporations and general government).These are further disaggregated into National (which is further split between defence and non-defence) and State and local, which are combined.
10.104 The following outlines the adjustments that are made to the public sector estimates to ensure consistency with the 2008 SNA:
- Capitalised computer software is modelled based on current expenditure of wages and non-wage expenses by government and purchases of software (obtained from Government Finance Statistics).
- Public sector mineral exploration has been set to zero since 1988-89 as governments are no longer directly involved in mineral exploration activities. Prior to 1988-89 a small portion of mining exploration was attributed to the government general sector.
- Artistic originals are based on data obtained from Annual Reports for public broadcasting networks.
- Research and development expenditure is based on Research and Experimental Development, Government and Private Non-Profit Organisations, Australia.
10.105 The tables below outline the data sources and methods used in the estimation of annual GFCF by asset type for the private sector and level of government for the public sector. They include both the current price estimates and volume estimates.
Item | Comment |
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Description | |
|
Gross fixed capital formation on dwellings consists of the value of acquisitions of new and existing (used) dwellings less the value of disposals of existing dwellings. It also includes the value of dwellings created by the conversion of existing non-dwelling buildings to dwellings, and the value of alterations and additions to existing dwellings. Dwellings are buildings, or designated parts of buildings, that are used entirely or primarily as residences, including any associated structures regarded as fixed assets, such as garages, and all permanent fixtures customarily installed in residences. Houseboats, barges, mobile homes and caravans used as principal residences of households are also included and are regarded as fixed assets. The costs of clearing and preparing the site for construction are part of the costs of new dwellings (and non-dwelling construction) and are therefore included in the value of the buildings. Incomplete dwellings are included to the extent that the ultimate user is deemed to have taken ownership, either because the construction is on own-account or as evidenced by the existence of a contract of sale or purchase. All dwellings must give rise to housing services that are included within the production boundary, regardless of whether the dwellings are occupied by the owners or rented on the market. In the ASNA, private gross fixed capital formation for dwellings is presented with two sub-components: new and used dwellings and alterations and additions. |
Current price estimates | |
|
The Construction Industry Survey (CIS) and Household Expenditure Survey (HES) are used to periodically set annual levels for the benchmark years. In the off years of CIS and HES, the Building Activity Survey (BACS) growth rates are used to move dwellings estimates forward. GFCF on dwellings is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The GFCF estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial GFCF estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
Volume estimates | |
The current price estimates are deflated using quarterly price indexes, which have been summed to form the annual estimate. These price indexes include (but are not limited to) Consumer Price Index and the Producer Price Indexes. |
Item | Comment |
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Description | |
|
Gross fixed capital formation in non-dwelling construction is recorded as the value of the acquisitions of new and existing non-dwelling buildings and structures, less the value of the disposals of existing non-dwelling buildings and structures, and the value of alterations and additions to existing non-dwelling buildings and structures. Non-dwelling construction comprises three components: new building, new engineering construction and net purchases of second-hand assets.
|
Current price estimates | |
|
The Construction Industry Survey (CIS) is used to periodically set annual levels for benchmark years. In the off year of CIS, Building Activity Survey (BACS) and Engineering Construction Survey (ECS) growth rates are used to move non-dwelling construction estimates forward. Data are compiled by institutional sector and industry using the Economic Activity Survey, Building Activity Survey and the Survey of New Capital Expenditure, providing the elemental detail required by the Perpetual Inventory Method. New engineering construction GFCF completed overseas is not captured in the ECS collection until the assets are fixed in place. Balance of Payments and the Survey of New Capital Expenditure data are used to make adjustments to recognise the progressive transfer of ownership for large mining projects built overseas. GFCF on non-dwelling construction is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The GFCF estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial GFCF estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
Volume estimates | |
The current price estimates are deflated using quarterly price indexes, which have been summed to form an annual. These price indexes include (but are not limited) to Producer Price Indexes. |
Item | Comment |
---|---|
Description | |
|
Gross fixed capital formation for machinery and equipment is recorded as the value of the acquisitions of new and existing machinery and equipment, less the value of the disposals of existing machinery and equipment.
ASNA’s machinery and equipment mirrors the 2008 SNA concept. In the ASNA, private gross fixed capital formation for machinery and equipment is presented with two sub-components: new machinery and equipment and net purchases of second-hand assets. |
Current price estimates | |
|
Prior to 1994-95, estimates are compiled using statistics of depreciable assets available from the Australian Taxation Office (ATO). From 1994-95, the source of this data is the Economic Activity Survey which covers most large businesses in the economy in addition to the Survey of New Capital Expenditure. Data are compiled by institutional sector and industry providing the elemental detail required by the Perpetual Inventory Method. GFCF on machinery and equipment is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The GFCF estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial GFCF estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
Volume estimates | |
|
The current price estimates are deflated at the asset level; that is, computers and peripherals; electrical and electronic equipment; industrial machinery and equipment; motor vehicles; other transport equipment; and other machinery and equipment. A number of price indexes are used some of which include, but are not limited to the Consumer Price Index, Producer Price Indexes and the International Trade Price Index (ITPI). |
Item | Comment | |
---|---|---|
Description | ||
|
GFCF for orchard growth consists of the value of all acquisitions of mature and immature trees, shrubs, etc., produced on own account, less the value of their disposals. Disposals consist of trees, shrubs, etc., sold or otherwise transferred to other units plus those cut down before the end of their service lives. Disposals do not include exceptional losses of trees due to drought or other natural disasters such as gales or hurricanes, these being recorded in the Other changes in the volume of assets account. |
|
Livestock | ||
Current price estimates | ||
|
Estimates of the value of sheep and cattle used to produce products such as wool and milk, or for breeding, were historically derived from the annual Agricultural Commodity Survey conducted by the ABS, which provided the number of animals in major livestock categories. Results from the survey were published in Agriculture, Australia . More recently, price and quantity data is obtained from the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) which is revised during the March quarter each year following the release of the ABS publication, Value of Agricultural Commodities Produced, Australia . Calculation of sheep and cattle numbers also relies on slaughtering and exports quarterly data from the ABS publication, Livestock Products, Australia. Data on acquisition and disposal prices of other animals are calculated using the ABARES publication, Agriculture Commodity Statistics. Values for sheep and cattle are estimated by multiplying the number of animals by an average price per head. Historical, estimates for thoroughbred horses, standardbred horses and other horses (quantity and price) were modelled, based on data from the Australian Horse Industry Council (AHIC) and various horse associations. More recently, estimates of thoroughbred horses are derived using quantity and price data from the Australian Racing Board; estimates of standardbred horses are derived using quantity and price data from Harness Racing Australia; and estimates of other horses is derived using quantity and price data from the Food & Agriculture Organisation (FAO) of the United Nations. Pigs for breeding estimates are sourced from the ABS publication, Agricultural Commodities, Australia . |
|
Volume estimates | ||
|
Annual volume estimates are derived using the underlying price and quantity information as used in the derivation of current prices. |
|
Orchard growth | ||
Current price estimates | ||
Data for the number of trees and hectares of vines are available annually from the ABS publication, Agricultural Commodities, Australia. The current price value is derived by applying average costs incurred in the planting and growing of orchards to this data. | ||
Volume estimates | ||
Volume estimates are derived from data for the number of trees and hectares of vines available annually from the ABS publication, Agricultural Commodities, Australia. | ||
Total cultivated biological resources | ||
Current prices | ||
|
The total current price estimate of cultivated biological resources is the sum of the livestock and orchard growth estimates. GFCF on cultivated biological resources is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The GFCF estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial GFCF estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
|
Volume estimates | ||
The total volume estimate of cultivated biological resources is the sum of the livestock and orchard growth estimates. |
Item | Comment | |
---|---|---|
Research and development | ||
Description | ||
Gross fixed capital formation of R&D, as defined in 2008 SNA, consists of the value of expenditures on creative work undertaken on a systematic basis in order to increase the stock of knowledge, including knowledge of humankind, culture and society, and use of this stock of knowledge to devise new applications. This does not, however, include human capital as assets within the SNA. It should also be recognised that R&D products are very heterogeneous and not all R&D products are fixed assets and hence their classification should be determined on the economic benefit they are expected to provide in the future. In other words, R&D that does not provide an economic benefit to its owner does not constitute a fixed asset and should be treated as intermediate consumption. The nature of R&D poses measurement challenges because R&D products are very heterogeneous and not all R&D products are sold in the market. The 2008 SNA recommends that the output of R&D should be valued at market prices if purchased (outsourced) or as the sum of total production costs. R&D undertaken by specialised commercial research laboratories or institutes is valued by receipts from sales, contracts, commissions, fees, etc. R&D undertaken by government units, universities, non-profit research institutes, etc. is non-market production and should be valued on the basis of the total costs incurred excluding a return to capital used. The ASNA’s treatment of R&D requires a fundamental distinction between R&D services and own account R&D. The R&D services refer to market transactions in R&D as suggested in the 2008 SNA reference to ‘specialized commercial research laboratories or institutes. The output of these units includes the sale of R&D and is therefore considered other non-market production and hence valued as suggested in 2008 SNA (at the cost of production). The own account R&D refers to production or R&D undertaken on own account and consists of:
All output and GFCF of own account R&D is considered to be non-market production and is valued by summing the total production costs. It is also important to note that these costs include intermediate consumption of the R&D product and can be deducted from the GFCF accordingly. | ||
Current price estimates | ||
Annual estimates for both own account R&D expenditure and R&D undertaken by other institutions are derived from the ABS Survey of Research and Experimental Development published in Research and Experimental Development, Businesses, Australia with current expenditure estimates calculated as the sum of labour costs and other expenditure. Estimates of imports and exports of R&D are obtained from Balance of Payments and International Investment Position, Australia , which are directly collected through the Survey of International Trade in Services. GFCF on R&D is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The GFCF estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial GFCF estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. | ||
Volume estimates | ||
The volume of capital expenditure on R&D is calculated by deflating the cost-based expenditure values. These current price estimates are deflated using price indexes for labour inputs and other current expenditure used as inputs into the R&D products. | ||
Mineral and petroleum exploration | ||
Description | ||
Mineral and petroleum exploration is the value of expenditures on exploration for petroleum and natural gas and for non-petroleum deposits and subsequent evaluation of the discoveries made. Expenditures on mineral exploration are not treated as intermediate consumption. Whether they are successful or not, they are needed to acquire new reserves and are, therefore, all classified as gross fixed capital formation. This item covers expenditure on exploration for petroleum (including oil shale), metallic minerals, construction materials, gemstones, and other non-metallic minerals less expenditure on successful bids for offshore petroleum leases (which is regarded as intermediate consumption, not capital formation). Exploration expenditure covers all exploration activity undertaken on land and in Australia's territorial waters and the continental shelf over which Australia exercises exclusive rights. It includes pre-licence costs, licence and acquisition costs, appraisal costs, expenditure on aerial surveys, (including Landsat photographs), general surveys, report writing, map preparation and other activities indirectly attributable to exploration. | ||
Current price estimates | ||
Data on mineral and Petroleum exploration expenditure are obtained from the quarterly publication, Mineral and Petroleum Exploration, Australia. Annual estimates are obtained by summation of the quarterly series. GFCF on mineral and petroleum exploration is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The GFCF estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial GFCF estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. | ||
Volume estimates | ||
Annual data for mineral and petroleum exploration are derived by summing the four quarters of mineral and petroleum exploration estimates obtained from the ABS publication, Mineral and Petroleum Exploration, Australia. | ||
Computer software | ||
Description | ||
Computer software consists of computer programs, program descriptions and supporting materials for both systems and applications software. It also includes databases which consist of files of data organised in such a way as to permit resource-effective access and use of the data. GFCF in computer software can include both the initial in-house development and subsequent extensions of software as well as software purchased on the market. Software purchased on the market, which is valued at purchasers’ prices, includes both products purchased 'off the shelf' and customised software designed by a specialist for a specific customer. Software developed in-house is valued at its estimated basic price or at its cost of production if it is not possible to estimate the basic price. GFCF in databases includes the purchase or development of databases that the enterprise expects to use in production over a period of more than one year. Databases may be developed exclusively for own use or for sale as an entity or for sale by means of a licence to access the information contained. | ||
Current price estimates | ||
Australian National Accounts: Information and Communication Technology Satellite Account is used to periodically set annual estimates for benchmark years. For other years, growth rates are calculated from the Economic Activity Survey and applied to the annual estimates for all industries except Financial and Insurance Services. Data on capital and current expenditure of computer software is obtained from the Australian Prudential Regulation Authority for banks and registered financial corporations in order to estimate the Financial and Insurance Services industry. GFCF on computer software is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The GFCF estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial GFCF estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. | ||
Volume estimates | ||
The current price estimates are deflated using quarterly price indexes, which have been summed to form an annual. The main price index used is the Producer Price Indexes. | ||
Entertainment, literary and artistic originals | ||
Description | ||
This item covers the production of originals of films, television programs, music products, and books. 2008 SNA describes the production of entertainment, literary and artistic originals as a two-stage process of which the first stage is the production of the original and the second stage the production and use of copies of the original. | ||
Current price estimates | ||
| Annual estimates are derived as the sum of the following components:
The Film, Television and Digital Games survey is the main data source used to periodically set annual estimates for film and television GFCF in benchmark years. Levels for current price estimates are adjusted when the survey is updated every five years. For other years, growth rates are calculated from annual production data published by Screen Australia, and are applied to the benchmarks. GFCF on entertainment, literary and artistic originals is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The GFCF estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial GFCF estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. | |
Volume estimates | ||
The current price estimates are deflated using quarterly price indexes, which have been summed to form an annual. These price indexes include (but are not limited) to the Consumer Price Index and the Producer Price Indexes. |
Changes made to Table 10.38 Annual private gross fixed capital formation — Intellectual property products
From 28/10/2024,
Entertainment, literary and artistic originals
Current price estimates
The Film, Television and Digital Games survey is the main data source used to periodically set annual estimates for film and television GFCF in benchmark years. Levels for current price estimates are adjusted when the survey is updated every five years. For other years, growth rates are calculated from annual production data published by Screen Australia, and are applied to the benchmarks.
Growth rates for music and literary GFCF are modelled using a seven-year moving average of film and television production, also based on data published by Screen Australia.
Table 10.38 prior to 28/10/2024
Item | Comment |
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Description | |
|
Ownership transfer costs consist of the following components:
Ownership transfer costs in the ASNA relate to dwellings, non-dwelling construction, and unoccupied land. |
Current price estimates | |
|
When available, annual estimates for income attributable to real estate agents' commissions and lawyers' conveyancing fees are based on results from the Economic Activity Survey and periodic surveys including Real Estate Agents Industry, Australia; Legal Services, Australia; Accounting Practices, Australia; and Legal and Accounting Services, Australia. For intervening years growth rates in title transfers are used to estimate income from services. Stamp duties estimates are based on annual Government Finance Statistics (GFS) data, obtained from each state treasury. Local government charges are calculated as a combination of:
The ad valorem component is calculated based on the median residential property price, and the value at which the ad valorem component is charged per state. The median residential property prices are extracted from Corelogic’s quarterly residential price change data. Estimates for total ownership transfer costs are allocated to institutional sectors using sectoral estimates of land use in the balance sheets. GFCF on ownership transfer costs is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The GFCF estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial GFCF estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
Volume estimates | |
Volumes are obtained by quantity revaluing the current price estimates at the state level, using title transfers data obtained from the state titles offices and treasuries. Title transfers exempt from stamp duty are removed from these estimates based on state title office data where available. Where unavailable, data from the Lending Indicators publication is combined with state specific exemption to estimate the number of transfers exempt from paying stamp duty. |
Item | Comment | |
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Commonwealth | ||
Current price estimates | ||
Government finance statistics is the most important data source used for annual estimates, these are compiled from audited annual returns from the Commonwealth Department of Finance. Additional data for intellectual property products are sourced from external and internal sources including Research and Experimental Development, Businesses, Australia. The data collected is by the following assets types:
Amounts for new and second-hand purchases or disposals are determined in order to derive net second-hand purchases. This allows for the identification of private net sector purchases of fixed capital assets from the public sector which are used in the compilation of private sector gross fixed capital formation. GFCF undertaken by Commonwealth public corporations is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The GFCF estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial GFCF estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. | ||
Volume estimates | ||
The volume estimates are compiled from current price estimates using price deflation. Deflation is preformed using a composite deflator made up of various price indexes reflecting the various assets included in the estimate. The weights of each asset in the composite is based on the current price asset make up. | ||
State and local | ||
Current price estimates | ||
Government finance statistics is the most important data source used for annual estimates, these are compiled from audited annual returns from the State treasuries. Additional data for intellectual property products are sourced from various external and internal sources including Research and Experimental Development, Businesses, Australia. The data collected is by the following assets types:
Amounts for new and second-hand purchases or disposals are determined in order to derive net second-hand purchases. This allows for the identification of private net sector purchases of fixed capital assets from the public sector which are used in the compilation of private sector gross fixed capital formation. GFCF undertaken by State and local public corporations is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The GFCF estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial GFCF estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. | ||
Volume estimates | ||
The volume estimates are compiled from current price estimates using price deflation. Deflation is preformed using a composite deflator made up of various price indexes reflecting the various assets included in the estimate. The weights of each asset in the composite is based on the current price asset make up. |
Item | Comment | |
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National—defence | ||
Current price estimates | ||
Government finance statistics is the most important data source used for annual estimates, these are compiled from audited annual returns from the Commonwealth Department of Finance. Additional data for intellectual property products are sourced from external and internal sources including Research and Experimental Development, Government and Private Non-Profit Organisations, Australia. The data collected is by the following assets types:
Defence Weapon Systems built overseas, are reported on a progress payments basis through Government Finance Statistics. Supplementary Balance of Payments and Department of Defence data is used to make adjustments to recognise the acquisition of Defence Weapon Systems when the change of ownership takes place. Amounts for new and second-hand purchases or disposals are determined in order to derive net second-hand purchases. This allows for the identification of private net sector purchases of capital from the public sector which are used in the compilation of private sector gross fixed capital formation. GFCF undertaken by National defence is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The GFCF estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial GFCF estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. | ||
Volume estimates | ||
The volume estimates are compiled from current price estimates using price deflation. Deflation is preformed using a composite deflator made up of various price indexes reflecting the various assets included in the estimate. The weights of each asset in the composite is based on the current price asset make up. | ||
National—non-defence | ||
Current price estimates | ||
Government finance statistics is the most important data source used for annual estimates, these are compiled from audited annual returns from the commonwealth department of finance as well as annual reports of public universities. Additional data for intellectual property products are sourced from external and internal sources including Research and Experimental Development, Government and Private Non-Profit Organisations, Australia and from Annual Reports for public broadcasting networks . The data collected is by the following assets types:
Amounts for new and second-hand purchases or disposals are determined in order to derive net second-hand purchases. This allows for the identification of private net sector purchases of capital from the public sector which are used in the compilation of private sector gross fixed capital formation. GFCF undertaken by National non-defence is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The GFCF estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial GFCF estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. | ||
Volume estimates | ||
The volume estimates are compiled from current price estimates using price deflation. Deflation is preformed using a composite deflator made up of various price indexes reflecting the various assets included in the estimate. The weights of each asset in the composite is based on the current price asset make up. | ||
State and local | ||
Current price estimates | ||
Government finance statistics is the most important data source used for annual estimates, these are compiled from audited annual returns from State treasuries. Additional data for intellectual property products are sourced from external and internal sources including Research and Experimental Development, Government and Private Non-Profit Organisations, Australia. The data collected is by the following assets types:
Amounts for new and second-hand purchases or disposals are determined in order to derive net second-hand purchases. This allows for the identification of private net sector purchases of capital from the public sector which are used in the compilation of private sector gross fixed capital formation. GFCF undertaken by State and local is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The GFCF estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial GFCF estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. | ||
Volume estimates | ||
The volume estimates are compiled from current price estimates using price deflation. Deflation is preformed using a composite deflator made up of various price indexes reflecting the various assets included in the estimate. The weights of each asset in the composite is based on the current price asset make up. |
Latest year
10.106 Public and private gross fixed capital formation (GFCF) data for the latest financial year is the sum of data reported for the four quarters for both current price estimates and chain volume measures.
Sources and methods - Quarterly
10.107 Quarterly estimates of gross fixed capital formation are primarily disaggregated between the private and public sectors. The private sector GFCF is presented by type of asset. The public sector GFCF is initially split by institutional sector (i.e. public corporations and general government). These are further disaggregated into National (which is further split between defence and non-defence) and State and local, which are combined.
10.108 The adjustments that are made to the public sector annual estimates to ensure consistency with 2008 SNA are also applied to the quarterly estimates.
10.109 The tables below outline the data sources and methods used in the estimation of quarterly GFCF by asset type for the private sector and level of government for the public sector. They include both the current price estimates and volume estimates.
Item | Comment | |
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Description | ||
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Gross fixed capital formation on dwellings consists of the value of acquisitions of new and existing (used) dwellings less the value of disposals of existing dwellings. It also includes the value of dwellings created by the conversion of existing non-dwelling buildings to dwellings, and the value of alterations and additions to existing dwellings. Dwellings are buildings, or designated parts of buildings, that are used entirely or primarily as residences, including any associated structures regarded as fixed assets, such as garages, and all permanent fixtures customarily installed in residences. Houseboats, barges, mobile homes and caravans used as principal residences of households are also included and are regarded as fixed assets, as are public monuments identified primarily as dwellings. The costs of clearing and preparing the site for construction are part of the costs of new dwellings (and non-dwelling construction) and are therefore included in the value of the buildings. Incomplete dwellings are included to the extent that the ultimate user is deemed to have taken ownership, either because the construction is on own-account or as evidenced by the existence of a contract of sale or purchase. All dwellings are treated as an asset, all dwellings must give rise to housing services that are included within the production boundary, regardless of whether the dwellings are occupied by the owners or rented on the market. In the ASNA, private gross fixed capital formation for dwellings is presented with two sub-components: new and used dwellings and alterations and additions. |
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Current price estimates | ||
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These are primarily based on the value of work done during the period on new residential buildings and on alterations and additions to residential buildings sourced from the quarterly Building Activity Survey (BACS). This survey covers both public and private sector activity. Dwellings may be purchased by public housing authorities from private builders after being classified as private sector construction. To avoid incorrect classification of completed dwellings, estimates of GFCF for dwellings by the public sector are sourced from Government Finance Statistics. Public expenditure (which also allows for net sales of existing dwellings to the private sector) is deducted from total GFCF for dwellings to derive the correct value for the private sector. |
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Private new dwellings | ||
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Estimates are constructed using new residential building data from BACS plus modelled estimates for net expenditure on new dwellings not included within the scope of the BACS (e.g. dwellings on rural properties not requiring local government permits, existing commercial premises converted to dwelling use and caravans bought for use as dwellings) and modelled estimates for services involved in the dwelling construction (e.g. architects' and other professional fees), but excluding ownership transfer costs. |
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General Government and Public Corporations - New Dwellings | ||
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Estimates are obtained from Government Finance Statistics from the following Economic Type Framework (ETF) item, Purchases of new assets (ETF 2221) in respect of dwellings (Type of Asset Code 111). State level estimates are constructed by allocating each State/Territory Level of Government to the relevant state. Estimates for the National jurisdiction are allocated using a proportion based on public employment from the Survey of Employment and Earnings (SEE). |
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General Government and Public Corporations - Used Dwellings | ||
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State estimates are obtained directly from Government Finance Statistics by summing the following ETF categories in respect of Dwellings (ETF Type of Asset Code 111):
minus
State level estimates are constructed by allocating each State/Territory Level of Government to the relevant state. Estimates for the National jurisdiction are allocated in proportion to employment from the Survey of Employment and Earnings. |
|
Private used dwellings | ||
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Estimates for the public sector are used to estimate values for the private sector. By way of example, if the general government sector sells two used dwellings for $300k each (one to the private sector and one to a public non-financial corporation) while a public non-financial corporation purchases a used dwelling from the private sector for $275k, estimates derived from Government Finance Statistics will generate -$600k for the general government sector and $575k (= $300k + $275k) for public non-financial corporations. Estimates for the private sector will be set equal to $25k to reflect this sector's net purchases. It should be noted that dwellings are not allocated to a specific industry; however, they are shown as ownership of dwellings. |
|
Total private new and used dwellings | ||
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Sum of the total value of dwellings from the quarterly Building Activity Survey (BACS) (including public) less purchases by general government plus sales by general government. |
|
Alterations and Additions | ||
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Alterations and additions to existing dwellings are estimated using data from the BACS, and BIS Oxford Economics. BACS provides estimates of the value of work done on alterations and additions with an approval value of $10,000 or more. As a significant part of alterations and additions activity is not covered in the BACS, estimates from BIS Oxford Economics data are used to ensure complete coverage of expenditure on alterations and additions. State estimates are constructed using Alterations and additions to residential buildings from the BACS and applying a modeled estimate to account for work not captured by this survey (e.g. alterations and additions undertaken with an approval value below $10,000, do-it yourself (DIY) work not requiring a local government permit). |
|
Volume estimates | ||
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Current price estimates of gross fixed capital formation for dwellings are deflated at the State level for each of the three categories: private houses; other dwellings; and alterations and additions, to express them in the prices of the previous year. These estimates are then aggregated to form volume estimates for new and used dwellings and alterations and additions for Australia, and total dwellings for Australia and each State. The resulting estimates expressed in the previous period prices are linked to form chain volume measures. |
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New and used dwellings | ||
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Current price estimates are deflated using composite state-specific price indexes with each State index derived as a weighted average of a price index for contract-built houses and a price index for other than contract-built houses using the Producer Price Index (PPI) for Outputs of House Construction. Contract-built house price indexes are derived as a two-quarter ending moving average (i.e. an average of the current quarter and the previous quarter) of the PPI for Outputs of House Construction for the respective state and territory. The other than contract-built house price indexes are derived as a four quarter ending moving average (i.e. an average of the current quarter and the three preceding quarters) of the PPI for Outputs of House Construction for the respective state and territory. The two groups for contract-built and other types of dwelling construction are used to reflect the different lags between when prices are determined and when the work is done. |
|
Alterations and additions | ||
Current price estimates are deflated by applying a two quarter ending moving average of the Producer Price Index (PPI) for Outputs of House Construction to the respective State current price estimates. |
Item | Comment | |
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Description | ||
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Gross fixed capital formation in non-dwelling construction is recorded as the value of the acquisitions of new and existing non-dwelling buildings and structures, less the value of the disposals of existing non-dwelling buildings and structures, and the value of alterations and additions to existing non-dwelling buildings and structures. Non-dwelling construction comprises of three components: new building, new engineering construction and net purchases of second-hand assets.
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Current price estimates | ||
New non-dwelling buildings | ||
|
The main source is the quarterly Building Activity Survey (BACS). This survey covers work done on private sector owned non-residential building valued at $50,000 or more. The following adjustments are made:
|
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New engineering construction | ||
|
The main source is the Engineering Construction Survey (ECS). As farm non-dwelling construction is not included in the ECS, adjustments are made to capital formation to estimate expenditure of farm on non-dwelling construction. New engineering construction GFCF completed overseas is not captured in the ECS collection until the assets are fixed in place. Balance of Payments and the Survey of New Capital Expenditure data are used to make adjustments to recognise the progressive transfer of ownership for large mining projects built overseas. |
|
Net purchases of second-hand assets | ||
The estimates from both the BACS and the ECS are adjusted to reflect net purchases of second-hand assets from the public sector by using Government Finance Statistics data. | ||
Total private non-dwelling construction | ||
New building (BACS private for private) plus engineering construction (ECS private for private) plus net purchases of second-hand assets from the public sector. | ||
Volume estimates | ||
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Current price estimates of gross fixed capital formation for non-dwelling construction are deflated at the State level for each component. |
|
New non-dwelling buildings | ||
State specific price indexes are derived as a three quarter ending moving average of new building price indexes compiled by the ABS. | ||
New engineering construction | ||
Current price estimates are deflated using a composite of price indexes for roads, dams, sewerage, electricity infrastructure and telecommunications infrastructure. For all but road construction, these price indexes are derived for Australia only. The price indexes used are from sourced from ABS publications: Producer Price Indexes, Australia; Wage Price Index, Australia; and the Consumer Price Index, Australia. |
||
Net purchases of second-hand assets | ||
Current price estimates are deflated for each State using the State specific implicit price deflator of the aggregate of private new non-dwelling building and new engineering construction. |
Item | Comment | |
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Description | ||
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Gross fixed capital formation in machinery and equipment is recorded as the value of the acquisitions of new and existing machinery and equipment, less the value of the disposals of existing machinery and equipment. ASNA’s machinery and equipment mirrors the 2008 SNA concept. In the ASNA, private gross fixed capital formation in machinery and equipment is presented with two sub-components: new machinery and equipment and net purchases of second-hand assets. |
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Current price estimates | ||
New machinery and equipment | ||
|
The main data source is the Survey of New Capital Expenditure (Private New Capital Expenditure and Expected Expenditure, Australia). This survey provides estimates of new capital expenditure by private businesses for selected industries. The following outlines adjustments that are made to industries that are out of scope of the survey:
Data from the Survey of New Capital Expenditure is also used to calculate industry weights for both new machinery and equipment and net purchases of second-hand assets. |
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Net purchases of second-hand assets | ||
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Net purchase of second-hand assets covers the purchases of second-hand assets from the public sector (which are added to private GFCF), used motor vehicle sales from businesses to households and used equipment sold overseas (both of which are deducted from private GFCF). An estimate of the value of net purchases of second-hand assets from the public sector is derived using data from quarterly surveys of public financial and non-financial corporations and Government Finance Statistics data for general government units. An estimate of the value of motor vehicle sales from businesses to households is deducted. This estimate is first derived on an annual basis using a Perpetual Inventory Method of the stock of vehicles incorporating data from the ABS Survey of Motor Vehicle Use and motor vehicle sales data available through the VFACTS services. Quarterly estimates are then interpolated and extrapolated according to new motor vehicle sales. An estimate of the value of used equipment sold overseas is also deducted. This estimate is derived from the international trade statistics. |
|
Volume estimates | ||
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Current price estimates of GFCF for new machinery and equipment and net purchases of second-hand machinery and equipment are deflated at the State level using State-specific chain price indexes. The price indexes used for deflation are sourced from ABS publications, Consumer Price Index, Australia; Producer Price Indexes, Australia; International Trade Price Indexes, Australia; and several price indexes from overseas, including the hedonic computer price index published by the US Bureau of Economic Analysis (BEA). |
Item | Comment |
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Description | |
Cultivated biological resources include animal resources (livestock) and tree, crop and plant resources (orchard growth) yielding repeat products whose natural growth and regeneration are under the direct control, responsibility and management of an institutional unit. Livestock (cattle, pigs, horses and sheep) includes breeding stocks, dairy cattle, draft animals, sheep or other animals used for wool production and animals used for transportation, racing or entertainment. Orchard growth includes all fruit and nut bearing plants such as trees, vines, bushes, shrubs etc. (i.e. any plant that can produce a marketable quantity of fruit for more than one year where the grower intends to obtain a future benefit from the sale of the fruits grown). GFCF for livestock is measured by the total value of all acquisitions of mature and immature animals produced on own account by users of the livestock less the value of their disposal. Disposals consist of animals sold or otherwise disposed of, including those sold for slaughter, plus those animals slaughtered by their owners. Exceptional losses of animals due to major outbreaks of disease, contamination, drought, or other natural disasters are recorded in the Other changes in the volume of assets account and not as disposals. Incidental losses of animals due to occasional deaths from natural causes form part of consumption of fixed capital. GFCF for orchard growth consists of the value of all acquisitions of mature and immature trees, shrubs, etc., produced on own account, less the value of their disposals. Disposals consist of trees, shrubs, etc., sold or otherwise transferred to other units plus those cut down before the end of their service lives. Disposals do not include exceptional losses of trees due to drought or other natural disasters such as gales or hurricanes, these being recorded in the Other changes in the volume of assets account. | |
Current price estimates | |
Quarterly estimates of cultivated biological resources are interpolated and extrapolated from the annual estimates using a harvest model to create the seasonal pattern. Refer to table 10.37 for the main inputs into the model. In addition to the annual inputs quarterly data is sourced from the Department of Agriculture, Fisheries and Forestry (ABARES), agricultural commodities and trade data publication. | |
Volume estimates | |
Quarterly estimates of cultivated biological resources are interpolated and extrapolated from the annual estimates using a harvest model to create the seasonal pattern. |
Changes made to Table 10.45 Quarterly private gross fixed capital formation — Cultivated biological resources
From 28/10/2024,
Current price estimates
References to the Department of Agriculture, Water and Environment have been changed to Department of Agriculture, Fisheries and Forestry. This reflects current administrative arrangements.
Item | Comment | |
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Research and development | ||
Description | ||
|
Gross fixed capital formation of R&D, as defined in 2008 SNA, consists of the value of expenditures on creative work undertaken on a systematic basis in order to increase the stock of knowledge, including knowledge of man, culture and society, and use of this stock of knowledge to devise new applications. This does not, however, include human capital as assets within the SNA. It should also be recognised that R&D products are very heterogeneous and not all R&D products are fixed assets and hence their classification should be determined by the economic benefit they are expected to provide in the future. In other words, R&D that does not provide an economic benefit to its owner does not constitute a fixed asset and should be treated as intermediate consumption. The nature of R&D poses measurement challenges because R&D products are very heterogeneous and not all R&D products are sold in the market. The 2008 SNA recommends that the output of R&D should be valued at market prices if purchased (outsourced) or at the sum of total production costs. R&D undertaken by specialised commercial research laboratories or institutes is valued by receipts from sales, contracts, commissions, fees, etc. R&D undertaken by government units, universities, non-profit research institutes, etc. is non-market production and should be valued on the basis of the total costs incurred excluding a return to capital used. The ASNA’s treatment of R&D requires a fundamental distinction between R&D services and own account R&D. The R&D services refer to market transactions in R&D as suggested in the 2008 SNA reference to ‘specialized commercial research laboratories or institutes. The output of these units includes the sale of R&D and is therefore considered other non-market production and hence valued as suggested in 2008 SNA (at the cost of production). The own account R&D refers to production or R&D undertaken by own account and consists of:
All output and GFCF of own account R&D is considered to be non-market production and is valued by summing the total production costs. It is also important to note that these costs include intermediate consumption of the R&D product and should be deducted from the GFCF accordingly. |
|
Current price estimates | ||
Quarterly estimates of R&D are interpolated and extrapolated from the annual estimates using linear trend methodology. | ||
Volume estimates | ||
Quarterly estimates of R&D are interpolated and extrapolated from the annual estimates using linear trend methodology. | ||
Mineral and petroleum exploration | ||
Description | ||
|
Mineral and petroleum exploration is the value of expenditure on exploration for petroleum and natural gas and for non-petroleum deposits and subsequent evaluation of the discoveries made. Expenditure on mineral exploration is not treated as intermediate consumption. Whether they are successful or not, they are needed to acquire new reserves and are, therefore, all classified as gross fixed capital formation. This item covers expenditure on exploration for petroleum (including oil shale), metallic minerals, construction materials, gemstones, and other non-metallic minerals less expenditure on successful bids for offshore petroleum leases (which is regarded as intermediate expenditure, not capital formation). Exploration expenditure covers all exploration activity undertaken on land and in Australia's territorial waters and the continental shelf over which Australia exercises exclusive rights. It includes pre-licence costs, licence and acquisition costs, appraisal costs, expenditure on aerial surveys, (including Landsat photographs), general surveys, report writing, map preparation and other activities indirectly attributable to exploration. |
|
Current price estimates | ||
Quarterly estimates are obtained from the ABS publication, Mineral and Petroleum Exploration, Australia. | ||
Volume estimates | ||
Current price estimates are deflated using a composite price index of the Wage Price Index (ANZSIC Division B Mining) and the Producer Price Indexes (PPI) (for equipment and material categories associated with exploration—steel pipes and tubes, non-ferrous pipe fittings, iron and steel casting and forging, and other industrial machinery). | ||
Computer software | ||
Description | ||
|
Computer software consists of computer programs, program descriptions and supporting materials for both systems and applications software. It also includes databases which consist of files of data organised in such a way as to permit resource-effective access and use of the data. Gross fixed capital formation in computer software can include both the initial in-house development and subsequent extensions of software as well as software purchased on the market. Software purchased on the market, which is valued at purchasers’ prices, includes both products purchased 'off the shelf' and customised software designed by a specialist for a specific customer. Software developed in-house is valued at its estimated basic price or at its cost of production if it is not possible to estimate the basic price. GFCF in databases includes the purchase or development of databases that the enterprise expects to use in production over a period of more than one year. Databases may be developed exclusively for own use or for sale as an entity or for sale by means of a licence to access the information contained. |
|
Current price estimates | ||
Quarterly estimates of computer software are interpolated and extrapolated from the annual estimates using linear trend methodology. | ||
Volume estimates | ||
Current price estimates are deflated using the Producer Price Indexes. | ||
Entertainment, literary and artistic originals | ||
Description | ||
This item covers the production of originals of films, television programs, music products, and books. The 2008 SNA describes the production of entertainment, literary and artistic originals as a two-stage process of which the first stage is the production of the original and the second stage the production and use of copies of the original. | ||
Current price estimates | ||
Quarterly estimates for film, television and recorded music are interpolated and extrapolated from the annual estimates using linear trend methodology. | ||
Volume estimates | ||
|
Current price estimates are deflated as follows:
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Item | Comment |
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Description | |
|
Ownership transfer costs consist of the following components:
Ownership transfer costs in the ASNA relate to dwellings, non-dwelling construction, and unoccupied land. |
Current price estimates | |
|
Quarterly estimates for lawyers' fees are derived from annual benchmarks using movements in State data for the number and value of real estate transactions. Quarterly estimates for real estate agents' commissions are derived based on the number of title transfers and an average fee per dwelling by state. Periodic changes in scheduled fees are taken into account as well as changes in average charges from the declining rate schedules that generally apply. Data on the number of transactions are obtained from State Titles Offices (Land Title Transfers) and median residential property prices are sourced from Corelogic quarterly change in dwelling values data. Stamp duty estimates are based on quarterly Government Finance Statistics data sourced from state government treasuries. Local government charges are estimated from the number of transactions occurring in each quarter and state government land registry fees . |
Volume estimates | |
|
Volume estimates for ownership transfer costs are derived by quantity revaluation at the State level, using title transfers data obtained from the State Title Offices and Treasuries. Title transfers exempt from stamp duty are removed from these estimates based on state title office data where available. Where unavailable, data from the Lending Indicators publication is combined with state specific exemptions to estimate the number of transfers exempt from stamp duty. |
Item | Comment | |
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Commonwealth | ||
Current price estimates | ||
|
The most important quarterly data source is Government Finance Statistics which is obtained from individual returns from Commonwealth public non-financial corporations. Estimates for intellectual property products are estimated using a linear trend interpolation to split the annual value over the four quarters. These are then added to the estimated total of dwellings, non-dwelling construction, and machinery and equipment. Amounts for new and second-hand purchases or disposals are determined in order to derive net second-hand purchases. This allows for the identification of private net sector purchases of capital from the public sector which are used in the compilation of private sector gross fixed capital formation. |
|
Volume estimates | ||
The volume estimates are compiled from current price estimates using price deflation. Deflation is performed using a composite deflator made up of various price indexes reflecting the various assets included in the estimate. The weights of each asset in the composite deflator is based on the current price asset make up. | ||
State and local | ||
Current price estimates | ||
|
The most important quarterly data source is Government Finance Statistics which is obtained from a mixture of centralised quarterly returns from State and Territory treasuries for approximately half the jurisdictions, while survey forms from individual public corporations make up the remainder of the source data. Estimates for intellectual property products are estimated using a linear trend interpolation to split the annual value over the four quarters. These are then added to the estimated total of dwellings, non-dwelling construction, and machinery and equipment. Amounts for new and second-hand purchases or disposals are determined in order to derive net second-hand purchases. This allows for the identification of private net sector purchases of capital from the public sector which are used in the compilation of private sector gross fixed capital formation. |
|
Volume estimates | ||
The volume estimates are compiled from current price estimates using price deflation. Deflation is performed using a composite deflator made up of various price indexes reflecting the various assets included in the estimate. The weights of each asset in the composite is based on the current price asset make up. |
Item | Comment | |
---|---|---|
National—defence | ||
Current price estimates | ||
|
The most important quarterly data source is Government Finance Statistics which is obtained from quarterly returns from Commonwealth Department of Finance. Defence Weapon Systems built overseas, are reported on a progress payments basis through Government Finance Statistics. Supplementary Balance of Payments and Department of Defence data is used to make adjustments to recognise the acquisition of Defence Weapon Systems when the change of ownership takes place. Estimates for intellectual property products are estimated using a linear trend interpolation to split the annual value over the four quarters. These are then added to the estimated total of dwellings, defence weapons systems, non-dwelling construction, and machinery and equipment. Amounts for new and second-hand purchases or disposals are determined in order to derive net second-hand purchases. This allows for the identification of private net sector purchases of capital from the public sector which are used in the compilation of private sector gross fixed capital formation. |
|
Volume estimates | ||
The volume estimates are compiled from current price estimates using price deflation. Deflation is performed using a composite deflator made up of various price indexes reflecting the various assets included in the estimate. The weights of each asset in the composite is based on the current price asset make up. | ||
National—non-defence | ||
Current price estimates | ||
|
The most important quarterly data source is Government Finance Statistics which is obtained from quarterly returns from Commonwealth Department of Finance and a census of public universities. Estimates for intellectual property products are estimated using a linear trend interpolation to split the annual value over the four quarters. These are then added to the estimated total of dwellings, non-dwelling construction, and machinery and equipment. Amounts for new and second-hand purchases or disposals are determined in order to derive net second-hand purchases. This allows for the identification of private net sector purchases of capital from the public sector which are used in the compilation of private sector gross fixed capital formation. |
|
Volume estimates | ||
The volume estimates are compiled from current price estimates using price deflation. Deflation is performed using a composite deflator made up of various price indexes reflecting the various assets included in the estimate. The weights of each asset in the composite is based on the current price asset make up. | ||
State and local | ||
Current price estimates | ||
|
The most important quarterly data source is Government Finance Statistics which is obtained from quarterly returns from state and territory treasuries as well as a 20 percent sample of local governments. Estimates for intellectual property products are estimated using a linear trend interpolation to split the annual value over the four quarters. These are then added to the estimated total of dwellings, non-dwelling construction, and machinery and equipment. Amounts for new and second-hand purchases or disposals are determined in order to derive net second-hand purchases. This allows for the identification of private net sector purchases of capital from the public sector which are used in the compilation of private sector gross fixed capital formation. |
|
Volume estimates | ||
The volume estimates are compiled from current price estimates using price deflation. Deflation is performed using a composite deflator made up of various price indexes reflecting the various assets included in the estimate. The weights of each asset in the composite is based on the current price asset make up. |
Changes in inventories
Concept
10.110 Changes in inventories are measured by the value of the entries into inventories less the value of withdrawals and less the value of any recurrent losses of goods held in inventories during the accounting period.
10.111 Changes in inventories are defined to include changes in holdings of:
- goods for sale, whether of own production or purchased for resale;
- work-in-progress; and
- raw materials and stores to be used as intermediate inputs into production.
10.112 It should be noted that work-in-progress on cultivated biological resources is recorded for single use resources only, that is, plants, trees and livestock that produce an output once only (e.g. when the plants and trees are cut down or uprooted or the livestock slaughtered). For repeat yield resources (e.g. livestock producing milk, wool, etc. and fruit and nut trees), that are cultivated on own account or under an agreed contract with another enterprise, the growth is counted as fixed capital formation and is excluded from inventories. Any remaining cultivation of resources with repeat yields, such as nurseries and breeding of racehorses, is treated as work-in-progress.
10.113 Work which has commenced and is ongoing for structures, including dwellings, and on other forms of construction (e.g. roads, dams, ports) is excluded from inventories and included in GFCF. However, work on incomplete heavy machinery and equipment (e.g. shipbuilding) is included in changes in inventories. Land and financial assets are not regarded as inventories.
Valuation of changes in inventories
10.114 The value of inventories recorded in business accounts at the end of each accounting period is known as the book value. Period to period changes in the book value of inventories can be calculated by deducting the book value of inventories at the end of the previous accounting period from the book value at the end of the current accounting period.
10.115 For national accounting purposes, the physical changes in inventories during a period should be valued at the prices prevailing at the time that inventory change occurs. Therefore, the goods transferred out of inventories (i.e. raw materials and stores) are valued at purchasers' prices current at the time of the withdrawal from inventories. Finished goods transferred into inventories are valued as if they were sold at that time and additions to work-in-progress are given the value they have at the time they are added to inventories.
10.116 In practice, many businesses adopt historical cost measurement whereby inventories are valued at the lower of cost or market prices. Beginning-of-period inventories are valued at costs or prices prevailing at the beginning of the accounting period, and end-of-period inventories are valued at costs or prices prevailing at the end of the period. As a result, in periods of rising prices the book value of inventories will frequently include an element of capital gain, even if there has been no change in the physical quantity of inventories held. Conversely, if prices are falling, the book value of inventories will include an element of capital loss even with no change in the quantity of inventories on hand. Therefore, in times of rising prices, the change in the book value measured on a historical cost basis will include both the value of the physical increase or decrease in inventories and an increase in value due to the effect of rising prices on the value of inventories held. The latter effect is an element of holding gain (or holding loss if prices are falling), which should be excluded from changes in inventories and included in revaluations.
10.117 In the ASNA, an inventory valuation adjustment (IVA) is made to remove the effects of such gains or losses from book values of changes in inventories. As initial estimates of gross operating surplus incorporate the effect of the value of inventories derived on a historical cost basis, the IVA is also deducted from those estimates.
10.118 There are several methods used to measure inventories in business accounts. These include:
- First in first out (FIFO) – items held in store for the longest time are assumed to be the first to be drawn from store, so that inventories will consist of the most recently acquired items.
- Last in first out (LIFO) – this system uses the opposite assumption to FIFO. The most recently acquired items are assumed to be the first drawn from store, so that inventories consist of the items first purchased.
- Historical cost – inventories are valued at the actual cost of acquisition, with no allowance for inflation.
- Current cost – inventories are valued at replacement cost, rather than the cost of acquisition. This measure is generally derived by adjusting values obtained under historical cost for the effect of inflation.
- Average cost – running totals are held of the value and volume of inventories. The average price of goods held in inventories is recalculated periodically; for example, when new goods are received. Any subsequent withdrawal from inventories is then made at that price until the average is recalculated.
- Standard cost – under a standard cost system, items held in stock are each given a unit value, which may be based on recent costs, current costs, or expected future costs. Once this standard has been set, the value of a company's inventories is determined by multiplying the quantity of each commodity in stock by its standard cost. The standard is generally maintained for a fixed period (usually a company's financial year), or until changing prices make the standard inappropriate for current conditions.
10.119 The current methodology underlying the derivation of the IVA in the ASNA assumes that businesses generally value their inventories at historical cost and employ the FIFO method of handling inventories.
10.120 In general, the IVA is calculated in three basic steps:
- an estimate is made of the value of inventories at constant prices at the end of each quarter by revaluing end of quarter book values to base year prices using price indexes; the value of changes in inventories at constant prices is then derived as the difference between successive end of quarter levels;
- the estimates of the values of changes in inventories at constant prices are multiplied by price indexes that reflect current quarter average prices; this calculation gives an estimate of the physical change in inventories at average current quarter prices; and
- the IVA is the difference between the value of changes in the book value of inventories obtained from business accounting records and the value of changes in inventories estimated in 2.
10.121 The following table illustrates how the IVA is calculated by way of an example.
(1) Change in book value | |||
---|---|---|---|
Book value of inventories at end of quarter (t) | = | 51,000 | |
Book value of inventories at end of quarter (t+1) | = | 55,056 | |
Change in book value | = | 4,056 | |
Base of price index | = | 100 | |
Price index at end of quarter (t) | = | 120 | |
Price index at end of quarter (t+1) | = | 124 | |
Average price index for quarter (t+1) | = | 122 | |
(2) Revaluation to constant prices | |||
Constant price level | book value ÷ price index x 100 | ||
End quarter (t) | 51,000 ÷ 120 x 100 | 42,500 | |
End quarter (t+1) | 55,056 ÷ 124 x 100 | 44,400 | |
Constant price change in inventories | 44,400- 42,500 | 1,900< | |
(3) Revaluation to current quarter prices | |||
Change in inventories at current quarter prices | = | change at constant prices x average price index for current quarter ÷ 100 | |
= | 1,900 x 122 ÷ 100 | ||
= | 2,318 | ||
(4) Derivation of the IVA | |||
IVA | = | change in book value - physical change at current quarter prices | |
= | 4,056 - 2,318 | ||
= | 1,738 |
10.122 Beside the assumption that book values are based on historical cost and FIFO conventions, the method used to estimate the IVA rests on four other assumptions:
- sales prices for finished goods held in inventories can be used to adjust inventory levels valued at cost; that is, the selling price of finished goods is established as a fixed mark-up on the costs incurred in the current quarter;
- each commodity (or group of commodities) held in inventories has a fixed turnover period; that is, the ratios 'inventory level of materials to value of purchases' and 'inventory level of finished goods to value of sales' remain constant for each commodity;
- the commodity composition of inventories held by any particular industry remains fixed; and
- the rate of physical increase (or decrease) in inventories is constant throughout the quarter.
Sources and methods - Annual
Benchmark years
10.123 Annual S-U benchmarks for change in inventories are economy-wide and are not split by industry or sector. Unbenchmarked values of changes in inventories are calculated from quarterly data for three sectors: private non-farm; farm; and public authorities. The sources and methods relating to calculation of the total changes in inventories (i.e. the S-U benchmarks) and each of the sectoral categories (including how they are benchmarked to the S-U benchmark) are discussed in the tables that follow.
Item | Comment |
---|---|
Current price | |
|
The Economic Activity Survey (EAS) is the source for the private sector as well as public non-financial corporations. EAS provides the following data:
Government Finance Statistics is the source for the general government sector changes in inventories. It provides changes in inventories in total which is allocated to industry in proportion to government output. Changes in inventories of raw materials are classified to the IOPC level by applying the proportion of the inventory products of intermediate use from the input and output tables to the total changes in inventories of raw materials. Changes in inventories of work-in-progress and finished goods for all industries are classified to the IOPC level by applying the proportion of the inventory products of supply from the input and output tables to the total changes in inventories of work-in-progress and finished goods. The IOPC level data for all changes in inventories components are aggregated to the Supply-Use Product Classification (SUPC) level. Supply and Use balancing process The inventories’ estimates at the SUPC level, are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial inventories estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7. |
Chain volume measures | |
Current price estimates of inventories at the IOPC level are deflated using the supply deflator for that IOPC. |
Item | Comment |
---|---|
Current price | |
The difference between the annual S-U benchmark for changes in inventories and the sum of the unbenchmarked quarterly estimates for each year is derived. This difference is then prorated across the following categories of private non-farm change in inventories: mining, manufacturing, wholesale trade and retail trade. | |
Chain volume measures | |
|
The most successful means of deriving chain volume changes in inventories has been found to be differencing chained estimates of the levels. The steps involved are as follows:
The price indexes that are used to re-value book value levels of inventories are formed by weighting together component price indexes from ABS publications: Consumer Price Index, Australia; Producer Price Indexes, Australia; and International Trade Price Indexes, Australia. The regimen and weights for these price and wage price indexes are derived using data from the various censuses and surveys conducted by the ABS. Chain volume estimates of changes in private non-farm inventories are published in the following detail in the national accounts:
It is noteworthy that, unlike other national accounts aggregates, quarterly chaining and annual chaining of volumes of changes in inventories produce identical annual chain volume estimates of changes in inventories. This is because chain volume estimates of changes in inventories are derived by differencing the chain volume estimates of the levels of inventories which relate to the end of quarterly and annual periods and coincide for the June quarter. |
Item | Comment |
---|---|
Current price | |
|
Changes in farm inventories include changes in:
Annual changes in the book value of inventories of wool are estimated as the difference between inventory levels based on available information obtained from the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES), Australian Wool Exchange (AWEX), and various ABS agricultural statistics. Annual changes in the book value of inventories of apples and pears are estimated as the difference between inventory levels, which was modelled from data provided by the Tasmanian Department of Primary Industries, Parks, Water and Environment. Annual changes in the book value of inventories of grain crops held on farms are derived as the difference between the value of production and disposals; that is, exports and domestic usage of the various commodities. Annual values of gross value of farm production of crops are obtained from the ABS publication, Value of Agricultural Commodities Produced, Australia and ABARES publication, Agricultural Commodities. Disposals are estimated from export statistics, estimates of seed purchased or retained on farms for use as seed or fodder, and materials used in manufacturing statistics, which are modelled from data obtained from the ABS publications, International Trade in Goods and Services, Australia, Value of Agricultural Commodities Produced, Australia and the Quarterly Business Indicators Survey. Although exports data are available quarterly from ABS trade statistics, various indicators must be used to derive quarterly data relating to production of grain crops. For example, annual data on gross value of production and on seed and fodder use are allocated to quarters according to fixed proportions based on harvest and planting seasons and assumed seasonal requirements for fodder. Animals reared for slaughter are regarded as work-in-progress. The estimates are derived from numbers of animals collected annually by the ABS, and prices from the Australian Bureau of Agricultural and Resource Economics and Sciences. Animals reared for breeding purposes or recurrent production (such as dairy cattle and sheep reared for wool production) are regarded as gross fixed capital formation. |
Chain volume measures | |
|
The techniques used to calculate chain volume estimates of changes in farm inventories are only slightly different to those shown above for private non-farm inventories. The difference is that for many of the detailed components of the former it is difficult to obtain true book value levels of inventories. Therefore, constant price estimates of changes in inventories that preceded the introduction of chain volume estimates are used in the calculations. The steps followed are:
For farm commodities, the price indexes used to convert constant price levels into levels valued in the prices of the previous year are calculated using production unit values. |
Item | Comment |
---|---|
Current price | |
|
Changes in public authorities’ inventories include estimates for general government, public non-financial corporations and public financial corporations. Recorded inventories include demonetised gold transactions (gold sales and gold loans) by the Reserve Bank of Australia and the construction of military equipment for export. Annual estimates of changes in the current price value of other public authorities’ inventories are derived from information in the annual ABS Government Finance Statistics. They are derived from a detailed analysis of annual reports and Auditors-General Reports, together with Commonwealth and State government budget papers and other financial statements. |
Chain volume measures | |
|
The techniques used to calculate chain volume estimates of changes in public authorities’ inventories are only slightly different to those shown above for private non-farm inventories. The difference is that for many of the detailed components of the former it is difficult to obtain true book value levels. Use is therefore made of the constant price estimates of changes in inventories that preceded the introduction of chain volume estimates and which are still calculated. The steps followed are:
For the other public authorities’ inventories component, a price index is constructed in a similar way to that described above for private non-farm inventories. |
Latest year
10.124 Latest year annual estimates of the changes in inventories are essentially an aggregation of the quarterly estimates.
10.125 Current price changes in inventories data are further disaggregated by institutional sector, with results published in the annual sectoral capital accounts in Australian System of National Accounts. General government and public non-financial corporation’s annual estimates for changes in inventories are derived from Government Finance Statistics. Private non-financial sector estimates are derived internally from quarterly data used to compile estimates for private non-farm and farm inventories. Estimates for financial corporations are based on data on transactions in non-monetary gold provided by the Reserve Bank of Australia; the assumption being that inventories for private financial corporations are relatively small. A ratio split is calculated for incorporated and unincorporated entities when deriving changes in inventories for the household sector.
Sources and methods - Quarterly
10.126 Quarterly estimates for change in inventories are aligned to annual benchmarks by calculating the difference between the annual economy-wide benchmark and the sum of the unbenchmarked quarterly estimates for each year, and prorating the difference across the following categories of private non-farm change in inventories: mining, manufacturing, wholesale trade, and retail trade. Quarterly changes in inventories for other private non-farm, farm, and public authorities are not adjusted as part of the annual benchmarking process. A quarterly value of the changes in inventories is obtained by deducting the IVA from the corresponding quarterly value of the changes in the book value of inventories.
10.127 The quarterly values of changes in inventories are calculated separately for three sectors: private non-farm; farm; and public authorities. The sources and methods relating to each of these sectoral categories and the IVA are discussed in the tables that follow
Item | Comment |
---|---|
Current price | |
|
The Quarterly Business Indicators Survey provides the data for estimating changes in private non-farm inventories. This survey collects estimates of the closing book value level of inventories from which changes are derived. The levels are also used in deriving the estimates of the inventories to sales ratio that is published in the quarterly national accounts. The Quarterly Business Indicators Survey provides the quarterly movements in inventories for mining; manufacturing; wholesale trade; retail trade; electricity, gas; water and waste services; accommodation and food services; and telecommunication services. The survey does not include some non-farm industries with only minor inventory holdings. For these industries, data are modelled from historical data, which was compiled from the periodic economic censuses and Taxation Statistics using the estimates for in-scope industries. |
Chain price volume | |
|
The most successful means of deriving chain volume changes in inventories has been found to be differencing chained estimates of the levels. The steps involved are as follows:
The price indexes that are used to re-value book value levels of inventories are formed by weighting together component price indexes from ABS publications: Consumer Price Index, Australia; Producer Price Indexes, Australia; and International Trade Price Indexes, Australia; and wage rate indexes from the publication, Wage Price Index, Australia. The regimen and weights for these price and wage rate indexes are derived using data from the various censuses and surveys conducted by the ABS. Chain volume estimates of changes in private non-farm inventories are published in the following detail in the national accounts:
It is noteworthy that, unlike other national accounts aggregates, quarterly chaining and annual chaining of volumes of changes in inventories produce identical annual chain volume estimates of changes in inventories. This is because chain volume estimates of changes in inventories are derived by differencing the chain volume estimates of the levels of inventories which relate to the end of quarterly and annual periods and coincide for the June quarter. |
Item | Comment |
---|---|
Current price | |
|
Changes in farm inventories include changes in:
Quarterly changes in the book value of inventories of wool are estimated as the difference between inventory levels derived from available information obtained from the ABARES publication, Agricultural Commodities; the Australian Wool Exchange; and from ABS publications, Value of Agricultural Commodities Produced, Australia and Livestock Products, Australia. Quarterly changes in the book value of inventories of apples and pears are estimated as the difference between inventory levels, which was modelled from historical data, provided monthly by the Tasmanian Department of Primary Industries, Parks, Water and Environment. Animals reared for slaughter are regarded as work-in-progress. The estimates are derived from numbers of animals collected annually by the ABS, and prices from the Australian Bureau of Agricultural and Resource Economics and Sciences. Animals reared for breeding purposes or recurrent production (such as dairy cattle and sheep reared for wool production) are treated as gross fixed capital formation. |
Chain volume measures | |
|
The techniques used to calculate chain volume estimates of changes in farm inventories are only slightly different to those shown above for private non-farm inventories. The difference is that for many of the detailed components of the former it is difficult to obtain true book value levels. Therefore, constant price estimates of changes in inventories that preceded the introduction of chain volume estimates are used in the calculations. The steps followed are:
For farm commodities, the price indexes used to convert constant price levels into levels valued in the prices of the previous year are calculated using production unit values. |
Item | Comment |
---|---|
Current price | |
|
Changes in public authorities’ inventories include estimates for general government, public non-financial corporations and public financial corporations. Quarterly estimates of changes in the book value of marketing authorities’ inventories are derived from information supplied by the authorities concerned. Recorded inventories include demonetised gold transactions (gold sales and gold loans) by the Reserve Bank of Australia and the construction of military equipment for export. Quarterly data are obtained from ABS Government Finance Statistics and Balance of Payments quarterly collections covering all significant public corporations/organisations and from the Department of Finance’s Quarterly Ledger. |
Chain volume measures | |
|
The techniques used to calculate chain volume estimates of changes in public authorities’ inventories are only slightly different to those shown above for private non-farm inventories. The difference is that for many of the detailed components of the former it is difficult to obtain true book value levels. Use is therefore made of the constant price estimates of changes in inventories that preceded the introduction of chain volume estimates and which are still calculated. The steps followed are:
For the other public authorities’ inventories component, a price index is constructed in a similar way to that described above for private non-farm inventories. |
10.128 The IVA is compiled each quarter from survey information, and annual estimates are derived by aggregating the quarterly estimates. The sources and methods relating to each of the major sectoral categories are discussed below.
Item | Comment |
---|---|
Non-farm inventories | |
|
The book values of private non-farm inventories are disaggregated into 30 industry groups: mining; 15 groups within manufacturing; eight within wholesale trade; retail trade; accommodation and food services; electricity; gas; water and waste services; construction; transport and storage; and telecommunication services. The inventories held by manufacturing industries are further split into Materials, and work-in-progress or finished goods. An IVA is derived using the assumptions described in above paragraphs. |
Farm inventories | |
|
An IVA is generally not necessary for farm inventories because the values of changes in inventories at average current quarter prices can be estimated directly from detailed quantity and price data. However, the value of changes in inventories for wheat and wool is calculated by subtracting from their respective sales the value of receivals. A production valuation adjustment (PVA) was previously required for the estimates of changes in inventories of wheat (ceased in June quarter 2010) and wool (ceased in March quarter 2011). This was due to the differences in current quarter sale price and the price at which receivals were valued. The PVA adjustment was deducted from the value of the receivals when calculating gross value of farm production (estimated in deriving farm income) on a national account’s basis. |
Public authorities’ inventories | |
Due to the relatively low level of inventories and the lack of information on the commodity dissection involved, and the fact that source data are already in current prices, no IVA is calculated for other public authorities’ inventories. |
Exports and imports
10.129 The exports and imports series shown in the national accounts are identical to those provided in the balance of payments statistics. (In the balance of payments, exports are labelled 'credits' and imports 'debits'.) The ABS publication, Balance of Payments and International Investment Position, Australia: Concepts, Sources and Methods provides an extensive description of the concepts, sources and methods for exports and imports statistics.
10.130 In any given period, some of the output of an economy may be acquired by non-residents. Such transactions are classified as exports of goods and services. Similarly, some of the goods and services acquired by residents in a particular period may have been produced by non-residents, rather than produced domestically. These transactions are classified as imports of goods and services.
10.131 As with other transactions recorded in the national accounts, exports and imports are recorded at the time the change in ownership of real assets occurs, or when a service is delivered. This time of recording may not coincide with when payments are made, in which case entries for pre- or post-payments will be recorded in the financial account. In some cases (i.e. gifts or grants) goods and services may be exported or imported (and recorded as such in the national accounts) without a settlement ever being required. In these cases, either a current or capital transfer will be recorded in lieu of an actual payment.
10.132 Assets, such as large modulated mining infrastructure, which incur lengthy construction periods, are recorded as progressive change of ownership; that is, the item is recorded as the importing unit takes ownership of the assets under construction as the individual components are complete. This differs from machinery and equipment imports where the change in ownership is deemed to have occurred once the importer has taken delivery of the asset as fully complete. Delivery may occur entirely outside the economic territory of the importer.
10.133 In the various ASNA publications, exports and imports of goods and services are generally shown as a single aggregate. (The main exception is the detailed input and output tables, where exports and imports are broken down by industry of origin or by product group.) In the balance of payments, however, exports and imports are broken down into a number of components. The following shows the main components:
Exports | |
---|---|
Goods | Rural goods |
Non-rural goods | |
Net exports of goods under merchanting | |
Non-monetary gold | |
Services | Manufacturing services on physical inputs owned by others |
Maintenance and repair services n.i.e. | |
Transportation services | |
Travel services | |
Other services | |
Imports | |
Goods | Consumption goods |
Capital goods | |
Intermediate and other merchandise goods | |
Non-monetary gold | |
Services | Manufacturing services on physical inputs owned by others |
Maintenance and repair services n.i.e. | |
Transportation services | |
Travel services | |
Other services |
10.134 The item 'goods' covers transactions involving most movable goods. However, transactions between residents and non-residents in some movable goods are classified as services. The most notable example is goods acquired by travellers, which are classified as travel services.
10.135 Exports and imports of goods are both valued free on board (f.o.b.) at the customs frontier of the exporting country. The f.o.b. price includes the value of distributive services involved in transporting the goods to the customs frontier and in loading the goods onto the carrier. The f.o.b. price does not include distributive services provided in transferring the goods from the customs frontier of the exporting country to the recipient of the goods. If such services are provided on Australia's imports by non-residents they will be recorded as imports of transportation services. If such services are provided by Australian residents on Australia's exports they will be recorded as exports of transportation services.
10.136 The values of exports and imports denominated in foreign currencies are converted into Australian dollars using market rates of exchange. If exporters and importers use derivative instruments to hedge against foreign exchange rate movements, then the cash flows associated with these instruments will be recorded as transactions in derivatives, which are shown in the financial account.
Flows
Transactions
3.4 A transaction is defined in 2008 SNA as:
An economic flow that is an interaction between institutional units by mutual agreement or an action within an institutional unit that it is analytically useful to treat like a transaction, often because the unit is operating in two different capacities.²⁸3.5 The latter types of actions are internal transactions. Apart from these, transactions are interactions between institutional units. While the definition of a transaction stipulates that an interaction between institutional units must be by mutual agreement, this does not mean that both units necessarily enter a transaction voluntarily; some transactions, such as payments of taxes, fees or fines, are imposed by force of law. In these cases, there is collective acceptance by the community of the obligation to make the required payments, which are therefore regarded as transactions for national accounting purposes. The system of national accounts recognises and accounts for numerous types of transactions, both monetary and non-monetary, which are described in the following paragraphs.
Monetary transactions
3.6 Most transactions recorded in the national accounts are monetary transactions, where the institutional units involved make or receive payments or incur liabilities or receive assets denominated in units of currency. All monetary transactions are two-party transactions between institutional units. Common monetary transactions included in the ASNA are expenditure on consumption of goods and services, expenditure on capital formation, deposits, loans, wages and salaries, interest, dividends, rent on natural assets, taxes, and social assistance benefits in cash.
3.7 Expenditures on consumption of goods and services, capital formation, deposits, loans, payment or receipt of wages and salaries, and payment or receipt of interest, dividends and rent on natural assets, are two-party transactions involving the provision of a good, service or asset in exchange for a monetary counterpart. These kinds of transactions can be termed 'something for something' transactions, or transactions with a quid pro quo.
3.8 Two-party transactions where goods, services or assets are supplied without a direct counterpart can be termed 'something for nothing' transactions, or transactions without a quid pro quo. Transactions without a quid pro quo are called transfers in the national accounts. Examples of transfers are taxes, social assistance benefits, gifts, and international cooperation (foreign aid). Transactions such as the payment of premiums for non-life insurance, where receipt of benefits is contingent upon some future event, are also classified as transfers. (Strictly speaking, insurance premiums are divided into two components in the national accounts: an imputed service charge; and net premiums, which are equal to premiums less the imputed service charge. Net premiums are a transfer payment while the imputed service charge is included in household or intermediate consumption.)
3.9 A distinction is made between capital and current transfers in the national accounts. Capital transfers involve the transfer of ownership of an asset or oblige one or both parties to acquire or dispose of an asset. Investment grants are examples of capital transfers. Capital transfers redistribute saving or wealth. Current transfers, on the other hand, redistribute income in the form of, for example, income taxes or social assistance benefits.
3.10 Most transactions are treated in the national accounts in a straightforward way; that is, the transactions are recorded in the same way as they appear in the accounts of the institutional units involved. However, some transactions are rearranged to bring out the underlying economic relationships more clearly. Transactions can be rearranged in three ways: rerouting, partitioning, and recognising the principal party to a transaction.
Rerouted transactions
3.11 A transaction that appears to the units involved as taking place directly between units A and C may be recorded as taking place indirectly through a third unit B. Thus, the single transaction between A and C is recorded as two transactions: one between A and B, and one between B and C. In this case the transaction is considered to be “rerouted”.
3.12 Rerouting of three types of transactions occurs in the national accounts:
- Employers' social contributions - workers' compensation premiums, and contributions made by employers on behalf of their employees to superannuation funds, are recorded as two transactions: employers are deemed to pay the contributions to their employees and the employees are then deemed to pay the same contributions to non-life insurance corporations or superannuation funds. Although the contributions are paid directly by employers to the funds, this treatment makes it clear that such contributions are part of the compensation of employees and are recorded as a part of labour costs.
- Retained earnings of foreign direct investment enterprises and resident and non-resident investment funds - the retention of some or all of the earnings of a foreign direct investment enterprise and investment funds within the enterprise or investment fund can be regarded as a deliberate investment decision by the foreign owners and fund investors. Accordingly, the retained earnings are rerouted in the national accounts by showing them as first remitted to the foreign owners and fund investors as property income and then reinvested in the equity of the direct investment enterprise and investment funds.
- Property income of non-life insurance corporations or pension funds - in the national accounts, the property income earned on the reserves of certain insurance and pension funds is deemed to be earned on assets owned by policyholders. The property income is recorded as being paid out to policyholders and then paid back again as premium supplements even though the property income is retained by the corporation.
Partitioned transactions
3.13 When a transaction appearing to the parties involved as a single transaction is recorded as two or more differently classified transactions, the transaction is partitioned. Partitioning does not usually imply the involvement of additional institutional units in the transactions.
3.14 Payments and receipts of interest by financial intermediaries, and non-life insurance premiums, are typical partitioned transactions. In the case of interest, the payments are considered to comprise a pure interest component and a charge for the financial service rendered by the financial institution. Similarly, non-life insurance premiums are considered to constitute a payment to cover the insurance risk and a service charge for arranging the insurance. The individual components are recorded separately in the national accounts.
3.15 A further example of partitioning is the recording of transactions for wholesalers and retailers. Wholesalers and retailers are viewed in 2008 SNA as selling the service of storing and displaying goods. As a result, the output of wholesalers and retailers is measured by the value of the trade margins on the goods they purchase for resale, not the total value of their sales.
Recognising the principal party to a transaction
3.16 When a unit carries out a transaction on behalf of another unit, the transaction should be recorded exclusively in the accounts of the principal, although some service output by the intermediary may be recognised. For example, if a commercial agent makes purchases under the order and at the expense of another party, the purchases are attributed to the latter. The accounts relevant to the agent should only show the fee charged to the principal for the services rendered by the agent.
Non-monetary transactions
3.17 Transactions that do not involve the exchange of cash, or assets or liabilities that are not denominated in units of currency, are non-monetary transactions. As the national accounts record all transactions in monetary values, the values recorded for non-monetary transactions must be estimated. Non-monetary transactions can be either two-party transactions or actions within an institutional unit (internal transactions).
Two-party non-monetary transactions
3.18 Two-party non-monetary transactions consist of the following:
Barter transactions, which involve one party providing a good, service or asset other than cash to another party in return for a good, service or asset other than cash.
- Remuneration in kind, which occurs when an employee accepts payment from an employer in the form of goods and services instead of money (or some other financial asset). Some of the most common types of remuneration in kind are meals and drinks, accommodation, vehicles for personal use of employees, and goods and services produced as outputs from the employer's own production processes.
- Payments in kind other than remuneration in kind, which occur when payments are made in the form of goods and services, rather than money or some other financial asset (e.g. landlords accepting produce in lieu of rent).
- Transfers in kind, which occur when one party provides a good, service or asset to the other without receiving anything in return. These can also be called 'something for nothing' transactions, or transactions without a quid pro quo. The most common types of transfers in kind are international aid in the form of goods or services; gifts and charitable contributions in the form goods or services; and social assistance benefits in forms such as the provision of education, health, housing and other services provided to households by government or non-profit institutions. Also included are social transfers in kind which consist of government final consumption expenditure (GFCE) which is undertaken (by government) on the behalf of households.
Internal transactions
3.19 While most transactions recorded in the national accounts are interactions between institutional units, some actions that occur within institutional units are also recorded as transactions. These are known as internal, or intra-unit transactions, which are recorded to give a more analytically useful picture of output and final use.
3.20 Consumption of fixed capital is an important example of an intra-unit transaction which is recorded in the ASNA. The estimation of consumption of fixed capital ensures that the decline in the value of a fixed asset used in production is included as a cost of production.
3.21 Estimates of the value of intra-unit transactions are also made to account for output which is produced and used within the same institutional unit. These transactions include the value of fixed assets produced for own use and the value of goods produced and consumed within households (such as agricultural produce and other 'backyard' production). The supply of output produced within an enterprise for use as intermediate input in the same enterprise is also regarded as an intra-unit transaction, although estimates of the value of such transactions are only recorded in national accounts if the supplying and receiving establishments are geographically separated.
Externalities and illegal actions
3.22 Externalities are unsolicited services, or 'disservices', delivered by one unit to another without mutual agreement. A typical example is a producer's pollution of air or water which is used by other units. Externalities are not market transactions into which institutional units enter of their own accord, and there is no mechanism to ensure that the positive or negative values attached to them by the various parties involved would be mutually consistent. For this reason, 2008 SNA recommends against recording the values of externalities in the national accounts.
3.23 2008 SNA treats illegal actions that fit the characteristics of transactions (notably the characteristic that there is mutual agreement between the parties) in the same way as legal actions. Thus, although the production or consumption of certain goods such as narcotics may be illegal, market transactions in such goods should, in principle, be recorded in the national accounts. Due to the difficulty in identifying and valuing illegal transactions, no explicit estimates for such activities are made in the ASNA. However, some illegal transactions are likely to be included in the national accounts if they are reported as part of legal activities or as income for taxation purposes.
3.25 As illegal actions which constitute crimes against persons or property (e.g. theft or violence) do not meet the criterion of transactions by mutual agreement they are not recorded as transactions.
Other flows
Other flows are changes in the value of assets and liabilities that do not take place through transactions. They are either other changes in the volume of assets or liabilities or holding gains and losses. Entries classified as other flows all appear in the other changes in volume of assets account or the revaluation account. Both accounts are components of the balance sheet accounts in the ASNA.
Endnotes
Stocks
3.26 Stocks are a position in, or holdings of, assets and liabilities at a point in time. Stocks are usually recorded at the beginning and end of each accounting period. The values of stocks of assets and liabilities are shown in the balance sheets of the system. Stocks are connected with the flows in that changes in their levels result from the accumulation of transactions and other flows over the accounting period in question. In the ASNA, closing balance sheet levels could be viewed as being obtained by the addition to the opening balance sheet levels of net capital formation, financial transactions, other changes in the volume of assets, and revaluations of assets and liabilities. However, in practice the balance sheet values for many components of financial assets and liabilities are obtained directly from survey data.
3.27 Values are recorded for non-financial assets, both produced and non-produced, and for financial assets and liabilities. The coverage of assets is limited to those assets used in economic activity and that are subject to ownership rights. Thus, stocks are not recorded for assets such as human capital and natural resources over which ownership rights cannot be enforced.
3.28 In order to discuss stocks, it is necessary to define assets and liabilities and these definitions depend crucially on the concepts of benefits and ownership. This is described as the asset boundary.
Economic benefits
3.29 An economic benefit is defined as denoting a gain or positive utility arising from an action. It implies a comparison between two states. Sometimes the immediate benefit is in terms of goods and services directly, for example own account production or wages and salaries in kind. More often a benefit is in the form of the medium of exchange (money), for example as wages and salaries. Consumption is an activity that takes place in the current period only but may be financed from past benefits. Production and accumulation also involve benefits postponed to future periods. Thus, means of allowing benefits to be moved from one accounting period to another must be recognised. These take the form of assets and liabilities where a benefit in one period is converted to a benefit in one or more future periods. Similarly, goods and services, or current benefits, may be acquired by committing future benefits in the form of financial liabilities.
Ownership
3.30 Two types of ownership can be distinguished, legal ownership and economic ownership. The legal owner of entities such as goods and services, natural resources, financial assets and liabilities is the institutional unit entitled in law and sustainable under the law to claim the benefits associated with the entities. The economic owner of entities such as goods and services, natural resources, financial assets and liabilities is the institutional unit entitled to claim the benefits associated with the use of the entity in question in the course of an economic activity by virtue of accepting the associated risks.
3.31 Every enterprise has both a legal owner and an economic owner, though in many cases the economic owner and the legal owner of an entity are the same. Where they are not, the legal owner has handed responsibility for the risk involved in using the entity in an economic activity to the economic owner along with associated benefits. In return the legal owner accepts another package of risks and benefits from the economic owner. In general, within the SNA, when the expression “ownership” or “owner” is used and the legal and economic owners are different, the reference should be understood to be to the economic owner.
Sources and methods - Annual
10.137 All of the sources required to compile exports and imports of goods data are available on a quarterly basis. Therefore, the annual estimates are obtained by summing the quarterly estimates.
Sources and methods - Quarterly
10.138 The sources and methods for the export and import of goods and services for both current price estimates and volume estimates are discussed in the tables that follow:
Item | Comment | |
---|---|---|
Current price estimates | ||
|
The primary source for exports and imports general merchandise data is the ABS International Merchandise Trade Statistics (IMTS) which is compiled using administrative by-product information from the Australian Customs and Border Protection Service. The coverage, timing and valuation of these statistics are adjusted, as required, to place them on a balance of payments basis. These adjustments are made using data from the Survey of International Transport Enterprises (SITE) and other sources including the Reserve Bank of Australia and the Survey of International Trade in Services (SITS). The following adjustments are made:
|
|
Volume estimates | ||
Exports | ||
|
The chain volume measures for export commodities are obtained by deflating current price values using export price indexes. The processes of chain volume compilation can be read in detail in the ABS publication, Spotlight on National Accounts Australia: Measuring Chain Volumes for Exports of Goods & Services, July 2011. The ASNA uses the price indexes underlying those published in International Trade Price Indexes, Australia. The chain volume measures of coverage and timing adjustments, that are made to bring exports as recorded in the IMTS onto the required national accounts/balance of payments basis, are also derived using relevant implicit price deflators from International Trade Price Indexes, Australia. |
|
Imports | ||
|
All volume measures are derived by deflating current price values using detailed price indexes. All but two of the components are deflated using price indexes derived from those underlying the price indexes published in International Trade Price Indexes, Australia. The exceptions are:
|
Item | Comment | |
---|---|---|
Current price estimates | ||
Transport services | ||
The principal sources of information on the exports and imports of transportation services are the ABS' International Merchandise Trade Statistics; Survey of International Trade in Services; Overseas Arrivals and Departures (OAD) data; and prices information on the cost of flights. The value of imports of freight services is derived from the cost, insurance and freight (c.i.f.) measure of merchandise trade statistics, with a minor adjustment made for resident freight operators sourced from the SITS. The SITS is used to measure all other components of transportation services, except for transportation passenger credits which uses OAD and prices data. | ||
Travel services | ||
Travel services is broken down to either personal or business purposes. Travel for personal purposes is further broken down into education, health, or other including for holidays. The major components of personal travel services are calculated as follows:
Business Travel – exports and imports both use the OAD data for the number of short-term travellers by reason, and expenditure supplied by Tourism Research Australia. | ||
Other services | ||
The following outlines the principal data sources and methods for estimates of exports and imports of other services:
| ||
Volume estimates | ||
Exports | ||
Volume measures are obtained mainly by deflation of the current price values, using relevant ABS price indexes underlying those published in:
| ||
Imports | ||
In most cases, volume measures are derived by deflating current price values using consumer price indexes from overseas countries, adjusted for exchange rate changes. In other cases, special purpose price indexes, implicit price deflators and ABS price indexes from Consumer Price Index, Australia and International Trade Price Indexes, Australia are used. |
Changes made to Table 10.59 Quarterly exports and imports — services
From 28/10/2024,
Current price estimates
All of the information within the transport, travel and other services sections is new to the table.
Table 10.59 prior to 28/10/2024
Chapter 11 Gross Domestic Product - Income approach (GDP(I))
Components of GDP (I)
11.1 GDP can be measured by the sum of income flows. The sum of factor incomes plus taxes less subsidies on production and imports gives GDP at purchaser's prices measured by the income approach (GDP(I)). That is
GDP(I) | = | Compensation of employees |
+ | Gross operating surplus | |
+ | Gross mixed income | |
+ | Taxes on production and imports | |
- | Subsidies on production and imports |
11.2 Gross value added at basic prices, less taxes on production and imports plus subsidies on production and imports (conventionally combined as taxes less subsidies on production and imports) represents the amount available as factor incomes. Factor incomes consist of compensation of employees (the income of the labour factor of production), operating surplus (the income of the entrepreneurship factor of production), or mixed income (a combination of compensation of employees and operating surplus accruing to the owners of unincorporated enterprises).
11.3 It is important to determine whether a person is an employee or self-employed so that the correct treatment of their income is applied as well as the sub-sectoring of the household sector. In order to be classified as employed (i.e. either as an employee or self-employed), the person must engage in activity which falls within the production boundary. An employer-employee relationship exists when there is a written or oral agreement, entered into voluntarily by the parties, whereby the person works for the enterprise in return for remuneration in cash or in kind. Self-employed persons work for themselves, are joint owners of unincorporated enterprises, or members of a producers' co-operative. The remuneration of the self-employed is treated as mixed income.
11.4 Employees are defined as all persons engaged in the activities of incorporated business units, in the production of general government services and the services of non-profit organisations, members of the defence forces (including reserves and cadets) based in Australia as well as those stationed overseas, and all persons engaged in the activities of unincorporated enterprises except the proprietors and unpaid members of the family. Trainee teachers are deemed to be outside the labour force, and so payments to them are excluded from wages and salaries and included instead as social assistance benefits.
11.5 In the case of a contractor it is necessary to determine the working relationship between the parties. This is not always straightforward, and several issues need to be taken into account, such as how the remuneration/payment for work is determined, and the existence/non-existence of a contract.
Compensation of employees
Concept
11.6 2008 SNA defines compensation of employees as follows:
... the total remuneration, in cash or in kind, payable by an enterprise to an employee in return for work done by the latter during the accounting period.⁴⁵
11.7 Compensation of employees comprises wages and salaries (in cash and in kind) and employers' social contributions. It does not include any unpaid work undertaken voluntarily or any taxes payable by the employer on the wage and salary bill such as payroll tax.
11.8 Wages and salaries paid in cash are gross payments before deductions. Deductions include income taxes and social contributions payable by the employee even if withheld by the employer for administrative convenience, such as direct payment to a superannuation fund or the Australian Taxation Office (ATO). Penalty payments (e.g. overtime, hazardous work allowances), supplementary allowances such as housing and meal allowances (unless paid as social benefits), holiday pay, payment while on sick leave, bonuses, and commissions, tips and gratuities paid directly to the employee by a third party are included in wages and salaries. Excluded from wages and salaries are reimbursements for expenses incurred (e.g. transportation and accommodation expenses incurred on business travel, and removal expenses) and for equipment or clothing purchased (the reimbursements are treated as intermediate consumption of the employer).
11.9 Wages and salaries paid in kind covers the cost to an employer of goods and services which are provided to the employee, or to another member of the employee's household, free of charge or at a substantial discount, and which are clearly of benefit to the employee as a consumer. Examples include meals, housing, uniforms that can be worn away from work, vehicles available for personal use, goods and services produced by the employer enterprise, recreational facilities, transportation, car parking, child care, low interest loans and stock options. Some of these benefits may appear more like intermediate consumption, but are included in compensation of employees because, even though they are paid to attract employees, they are benefits that employees would often have to provide themselves.
11.10 Fringe benefits taxes which are payable on income in kind provided to employees are included as part of wages and salaries and also included in income taxes payable by households.
11.11 Payments to members of the defence forces consist of salaries and allowances, attendance pay and the value of food, clothing, and travel supplied to permanent members, reserves and cadets. War gratuities which are regarded as social assistance benefits, are not included in wages and salaries.
11.12 The 2008 SNA recommends that severance, termination and redundancy payments by employers; sick leave payments; and payments for other forms of leave other than annual leave and long service leave should be classified as employers' social contributions. However, it acknowledges it may be difficult to separate such payments from wages and salaries and therefore they may have to be grouped with wages and salaries. This is the case in Australia, as data providers are unable to consistently differentiate between these various types of severance and leave payments, and other wage and salary payments. Therefore, these payments are included in the ASNA estimates of wages and salaries.
11.13 Wages and salaries also include changes in provisions for future employee entitlements such as provisions for annual and long service leave.
11.14 Employers’ social contributions are amounts paid by employers (or imputed as payments by employers) to provide social benefits for employees. Social benefits include retirement benefits such as superannuation. Employer social contributions are usually paid directly by the employer into investment funds (called 'social insurance schemes' in 2008 SNA) operated by a separate financial institution, but can be paid into a fund set up within the employer enterprise. However, in some cases, employers pay the benefits directly from general revenue – where this occurs the employers are said to operate an unfunded social insurance scheme. In such cases, the employers’ social contribution implicitly required to fund future benefit payments from unfunded superannuation schemes is imputed and contributes to compensation of employees. This is the amount with the employer would be required to pay into a separate superannuation fund if the scheme were operated as a fully funded scheme.
11.15 Although employer contributions to funded social insurance schemes are usually paid by employers to the scheme operators, in the national accounts all employers’ social contributions (including imputed contributions) are treated as having been paid to employees, who are then treated as having made the payments to the schemes. This treatment is considered more realistic from an economic viewpoint in that the contributions are seen as part of the compensation and income of the employees, who are then seen as using the contributions to acquire access to social insurance schemes (to which they may also contribute directly). The treatment also means that employers’ social contributions add to GDP(I).
11.16 There is a minor definitional difference between compensation of employees as a component of GDP (recorded in the gross domestic product account and the national income account) and as an item in the household income account. In the gross domestic product account and the national income account, compensation of employees includes amounts paid by resident producers to non-residents. This income is shown in the external income account as labour income to overseas. To obtain compensation of employees as recorded in the household income account it is necessary to deduct labour income to overseas from the value shown in the gross domestic product account and the national income account and to add labour income from overseas. Labour income from overseas is also shown in the external income account, and comprises labour income paid to residents working for non-resident employers (either in Australia or overseas).
Endnotes
Sources and methods - Annual
Benchmark years
11.17 Wages and salaries and employers' social contributions are initially derived at the sector level based primarily on the following data sources:
- General government – based on the Survey of Employment and Earnings (for wages and salaries) and the Survey of Major Labour Costs (for employers’ social contributions).
- Non-financial corporations, households and quasi-corporations – based on the Economic Activity Survey.
- Finance and insurance corporations – based on data from the Australian Prudential Regulatory Authority (APRA); the Survey of Financial Information; and the Quarterly Business Indicators Survey (QBIS).
11.18 These sectoral estimates are then combined to form the total wages and salaries and employers' social contributions, respectively.
11.19 The tables below outline the data sources and methods used in the estimation of the components of compensation of employees in current prices only. Volume estimates are not calculated for compensation of employees.
Item | Comment |
---|---|
Non-financial corporations, Households and NPISHs | |
The primary data source is the Economic Activity Survey. Data is aggregated to the Supply-Use Industry Classification (SUIC) level. The SUIC aggregation is mostly at the subdivision level of ANZSIC, with some instances at the group or division level. Estimates for total annual Payments in Kind (PIK) for Australia are derived using the ATO publication, Taxation Statistics for the taxable value of fringe benefits and employee share schemes, as well as the Survey of Major Labour Costs (SMLC) for salary sacrificed benefits not subject to taxation. The Survey of Employment and Earnings (SEE) and the Economic Activity Survey (EAS) are used to split the PIK estimates between the general government and non-general government sector (all other sectors), and disaggregate the private sector estimates to industry level. Estimates of wages and salaries in cash and PIK are summed to form the wages and salaries estimates by industry. | |
Financial corporations | |
For the Finance and Insurance Services industry (ANZSIC Division K), an estimate of financial corporation wages and salaries in cash is obtained from the Survey of Financial Information (SFI); Survey of Employment and Earnings; Economic Activity Survey; and Quarterly Business Indicators Survey; where it is available for each component of this industry. For years where SMLC data are not available, the annual estimate is based on data from APRA, QBIS, SEE and SFI. An estimate for financial corporations PIK is added, as described for non-financial corporations. For the Auxiliary Finance and Insurance Services industry, an estimate of financial corporation wages and salaries is obtained from the Economic Activity Survey and Survey of Employment and Earnings. | |
General government | |
A base estimate of general government wages and salaries is obtained from the Survey of Employment and Earnings. To this an estimate for overseas general government staff wages and salaries is added, based on data received from the Department of Foreign Affairs and Trade (DFAT). The estimate is then disaggregated to industry level using weights derived from general government output by industry. An estimate for wages and salaries of defence personnel is obtained from the Department of Defence and, until 1 July 2015 also, the Defence Materiel Organisation (DMO). This estimate is used to replace the value calculated for the Defence industry from the Survey of Employment and Earnings as military personnel are outside the scope of this survey. Estimates for total annual PIK for Australia are derived using the ATO publication, Taxation Statistics for the taxable value of fringe benefits and employee share schemes, and SMLC data related to salary sacrificed benefits not subject to taxation. The Survey of Employment and Earnings and Economic Activity Survey are used to split the PIK estimates between the general government sector and the non-general government sector (all other sectors). The estimates for general government wages and salaries and PIK are summed by ANZSIC division, and then further disaggregated to SUIC level, based on weights derived from general government output. |
Item | Comment |
---|---|
Non-financial corporations, Households and NPISHs | |
Estimates of superannuation contributions and workers’ compensation payments by non-financial corporations, households and NPISH enterprises are obtained from the Economic Activity Survey. The two collected data items are summed together to form employer social contributions (ESC) by industry, which is further aggregated to the SUIC level. The SUIC aggregation is mostly at the subdivision level of ANZSIC, with some instances at the group or division level. | |
Financial corporations | |
An estimate of financial corporations’ ESC is obtained by combining the ESC reported through APRA, the Survey of Financial Information, the Quarterly Business Indicators Survey and the Economic Activity Survey. Where data is unavailable on a certain component of the industry, it is modelled as an appropriate percentage of the applicable wages and salaries estimate. | |
General government | |
Estimates of superannuation contributions are based on data obtained from Government Finance Statistics and are disaggregated to the ANZSIC division level based on the most recent Survey of Major Labour Costs. Estimates for worker's compensation payments are based on data in the most recent SMLC and, in years where the survey is not conducted, are moved forward based on wages and salaries from the Survey of Employment and Earnings. These two components are summed together to form ESC by ANZSIC Division. This aggregate is then disaggregated to the industry level using weights of general government output, except for ANZSIC Division O (Public Administration and Safety). An adjustment is made for the Defence Industry to ensure correct coverage and alignment to the annual reports of the Department of Defence, Defence Materiel Organisation, and the administered military compensation schemes contained in the annual report of the Department of Veterans Affairs. |
Latest year
11.20 Annual estimates for the latest financial year for wages and salaries and employers' social contributions for Australia and by state (state estimates are covered in more detail in the State Accounts chapter), are derived by extrapolating the latest supply-use benchmark (year t-1) using the annualised quarterly movement for that financial year.
11.21 The industry estimates for wages and salaries in the latest year are derived by extrapolating the latest supply-use industry benchmarks (year t-1) using movements in hourly rates from the Wage Price Index in conjunction with QBIS and SEE data. ANZSIC Division O Public Administration and Safety includes defence personnel and staff in Australian embassies and consulates situated overseas.
11.22 The industry estimates of employers' social contributions for the latest year are derived by extrapolating the latest supply-use industry benchmarks (year t-1) using movements in the Average Weekly Earnings (AWE), QBIS and SEE data. The ANZSIC Division O base estimate is derived using movements from the general government superannuation and workers’ compensation values in Government Finance Statistics.
Sources and methods - Quarterly
11.23 Quarterly estimates of compensation of employees are built up from the State and Territory level by various subcomponents of wages and salaries and employers’ social contributions.
11.24 The following tables outline the data sources and method used in the quarterly estimation of the components of compensation of employees in current prices only. Volume estimates are not calculated for compensation of employees.
Item | Comment | |
---|---|---|
General approach | ||
Quarterly estimates of wages and salaries (including payments in kind) for annually benchmarked years are obtained for the private and public sectors for each State and Territory by distributing the total annual estimates according to the previously calculated quarterly distribution of:
For the latest year, the quarterly estimates of wages and salaries are calculated by extrapolating the latest quarterly estimates that have been benchmarked to an overall annual level by the following subcomponents. |
||
Private non-agricultural employees and civilian employees of the public sector paid in cash and kind | ||
For private non-farm, QBIS data are used to move forward the latest estimate of wages and salaries. For the civilian component of public sector, GFS data are used to move forward the latest estimate of wages and salaries. | ||
Agricultural employees | ||
The ABARES publication, Agricultural Commodities provides details of farm costs and returns, from which labour data are used to move forward the latest estimate of wages and salaries. | ||
Payments to members of the defence forces | ||
Government Finance Statistics, which are based on estimates received from the Department of Finance, are used to move forward the latest estimate of wages and salaries. |
Item | Comment | |
---|---|---|
General approach | ||
The quarterly estimates of employers' social contributions are calculated by extrapolating the latest quarterly estimates that have been benchmarked to an overall annual level by the following subcomponents. | ||
Private employers’ contributions to superannuation | ||
QBIS data are used to move forward the latest annual benchmark estimate of private employers’ contributions to superannuation. | ||
Public employers’ contributions to superannuation | ||
Government Finance Statistics are used to move forward the latest annual benchmark estimate of public employers’ contributions to superannuation. | ||
Private workers’ compensation premiums paid | ||
QBIS data are used to move forward the latest annual benchmark estimate of private workers’ compensation premiums paid. | ||
Public workers’ compensation premiums paid | ||
GFS data are used to move forward the latest annual benchmark estimate of public workers’ compensation premiums paid. |
Operating surplus and mixed income
Concept
11.25 Operating surplus is the income from production of corporate enterprises, while mixed income is the income from production of unincorporated enterprises. Both operating surplus and mixed income are measured prior to deducting any explicit or implicit interest charges, rent or other property incomes payable on the financial assets, land or other natural resources required to carry on production.
11.26 The term 'mixed income' is used because the surplus arising from the productive activities of unincorporated enterprises can comprise returns to the capital of the proprietors (representing operating surplus), and an element akin to wages and salaries accruing to the proprietors or other members of the household as payment for their labour input to the enterprise (even though they may not receive explicit payment for their work).
11.27 Operating surplus and mixed income can be measured on a gross or net basis. Gross operating surplus (GOS) and gross mixed income are defined as gross value added minus compensation of employees, minus taxes payable plus subsidies receivable on production and imports. GOS represents the gross income derived by corporations, both financial and non-financial, dwellings owned by persons and general government. In the case of general government, gross operating surplus represents only consumption of fixed capital. Gross mixed income (GMI) represents the gross income derived by unincorporated enterprises.
11.28 Net operating surplus is equal to gross operating surplus less consumption of fixed capital, and net mixed income is equal to gross mixed income less consumption of fixed capital.
11.29 Estimates of GOS and GMI are compiled by institutional sector, namely:
- GOS – private non-financial corporations;
- GOS – public non-financial corporations;
- GMI – unincorporated enterprises;
- GOS – dwellings owned by persons;
- GOS – general government; and
- GOS – financial corporations.
Sources and methods - Annual
Benchmark years
11.30 Annual benchmark estimates for GOS and GMI are derived in total for all institutional sectors. It involves two stages where the first is to derive GOS/GMI in total for all industries. This is undertaken within the supply-use tables.
11.31 The second stage is to split total GOS/GMI into the remaining institutional sectors which requires GMI to be separately identified. The steps required to do this are as follows:
- Remove estimated GOS for public non-financial corporations, financial corporations and general government sectors, and dwellings owned by persons from total GOS/GMI.
- Derive non-farm private non-financial corporations GOS plus non-farm GMI in total.
- Disaggregate total farm GOS/GMI into components for farm GOS and farm GMI.
- Disaggregate total non-farm GOS/GMI into components for non-farm GOS and non-farm GMI.
- Add non-farm private non-financial corporations GOS (from step d) to farm GOS (from step c), and non-farm GMI (from step d) to farm GMI (from step c).
11.32 The tables below outline the data sources and methods used in the estimation of annual GOS and GMI in total (as per stage 1) and then the institutional sector split as per stage 2 following the steps outlined above. GOS and GMI are estimated in current prices only. Volume estimates are not calculated for GOS and GMI.
Item | Comment |
---|---|
Total Gross operating surplus/Gross Mixed Income (GOS/GMI) | |
Annual benchmarks for GOS and GMI of private non-financial corporations, unincorporated enterprises and private financial corporations providing auxiliary finance and insurance services (ANZSIC Subdivision 64) are derived from the Economic Activity Survey, using the following calculation: GOS/GMI = Output Note also the GOS for NPISH units is depreciation as reported in the Economic Activity Survey. This is a proxy for consumption of fixed capital, which is conceptually the GOS for the NPISH sector. The Perpetual Inventory Method which provides estimates of COFC does not distinguish between household and NPISH sectors. NPISH GOS is calculated as gross output less the costs incurred in producing that output (but before deducting consumption of fixed capital), leaving consumption of fixed capital (COFC) as the residual. |
Item | Comment | |
---|---|---|
Financial corporations and quasi-corporations – Concept | ||
GOS of financial corporations is the excess of gross output over the costs incurred in producing that output for all financial corporations in Australia. Explicit charges for services account for only a small proportion of the income of financial corporations, unlike non-financial corporations, whose gross output can generally be equated with the proceeds of the sales of goods and services. | ||
Finance services | ||
Banks and similar financial intermediaries largely finance their activities by the excess of interest received over interest paid. If GOS were calculated in the same way as for other institutional sectors, it would be negative because only explicit service charges and operating expenses would be taken into account. In the national accounts, interest received is not considered to be part of income from production, and likewise interest paid is not part of expenses incurred in deriving income from production. The approach adopted in 2008 SNA and the ASNA is to include the indirect charges as imputed service charges in addition to any actual charges which are made by these financial corporations, and to include it in the calculation of GOS. The imputed service charge is entitled financial intermediation services indirectly measured (FISIM). Financial intermediaries such as investment funds earn net income from their dividends and reinvested earnings. In the national accounts, dividends and reinvested earnings are not considered to be part of income from production, but part of property income recorded in the income accounts. The investment funds distribute all the net income to the investors of the funds. The ASNA imputes an output for these funds equal to the cost of running the fund (total administrative and investment expenses) less any income derived directly, with an assumption that the GOS for these funds equals zero. Balance sheet, income and expenditure and interest rate information are used to compile GOS for the following financial intermediaries – the Reserve Bank of Australia; banks; other depository corporations (credit unions, building societies, cash management trusts, registered financial corporations); central borrowing authorities; securitisers and financial intermediaries not elsewhere classified (e.g. public unit trusts excluding property trusts; public development authorities; investment companies; common funds; co-operative housing societies; public housing schemes; and other financial corporations). |
||
Data sources | ||
The following outlines the data sources used to estimate the various components of output: Balance sheets:
Income and expenditure:
Interest rates:
|
||
GOS derivation | ||
GOS is calculated as: FISIM imputation The following adjustment is also included to obtain GOS:
Note that profits and losses on foreign exchange dealings are excluded from GOS because they constitute holding gains and losses in the national accounts. The difference between buying and selling rates and mid-point exchange rates is treated as a service charge. |
||
FISIM imputation | ||
To compile the FISIM imputation estimate for all financial intermediaries (except the Reserve Bank of Australia and financial intermediaries n.e.c.), total interest receivable and payable estimates by financial instruments (i.e. deposits, bills of exchange, one-name paper, bonds and loans) and counterparty sector and subsector flows are compiled for the following six sectors and subsectors:
Three datasets are required to compile the interest flows, namely:
The next step is to calculate FISIM for loans and deposits (banks and other depository corporations) and for loans (securitisers and central borrowing authorities).
where the reference rate is mid-point between the average interest rate on loans and the average interest rate on deposits.
where the reference rate is weighted average bond yield. The above calculations are undertaken in separate loan and deposit FISIM tables for each of the four FISIM generating institutions. Each table captures the counterparty sector and subsector loan and deposit balances, their respective interest flows and interest margins and the subsequent FISIM estimates. |
||
Imputed output of the Reserve Bank of Australia (RBA) | ||
The ASNA has divided the activity of the RBA into two types:
|
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Imputed output of financial intermediaries not elsewhere classified | ||
In ASNA, the estimate for an imputed output for units in this subsector is equal to the cost of running the business (total administrative and investment expenses) less any income derived directly, that is, the GOS for these funds equals zero. The majority of units in this subsector are investment funds, where the distributed surplus of the funds is measured as dividends and re-invested earnings and so is recorded as property income in the income accounts. The rest of the units are public sector units and are measured at cost. | ||
Explicit charges | ||
Explicit charges refer to direct charges levied e.g. loan establishment fees, loan account service fees and cheque account fees. Finance lease receipts are not classified as direct charges, in accordance with the treatment of finance leases in the ASNA. | ||
Gross non-land rent and other service income | ||
Rental income is predominantly from commercial buildings and infrastructure. Other service income includes income made on trading in securities, excluding holding gains and losses on these activities. | ||
Expenses | ||
Expenses include wages and salaries, purchases of goods and services, and other taxes (less other subsidies) on production. Also included as expenses are the imputed services for both FISIM and non-life insurance attributable to corporations in the financial corporations sector, which need to be deducted as a component of intermediate consumption. As business accounts of these financial corporations would have already included non-life insurance premiums as expenses rather than according to the 2008 SNA concept of the insurance service charge, it is necessary to add back the premium payments. An adjustment is also required to ensure that all expenditure on research and development and expenditure on software of a capital nature are capitalised rather than being deducted as current expenses. |
Item | Comment | |
---|---|---|
Insurance corporations and superannuation funds – Concept | ||
GOS of financial corporations is the excess of gross output over the costs incurred in producing that output for all financial corporations in Australia. However, unlike non-financial corporations, whose gross output can generally be equated with the proceeds of the sales of goods and services, explicit charges for services account for only a small proportion of the income of financial corporations. | ||
Insurance and pension fund services | ||
|
Non-life insurance corporations do not identify an explicit service charge as part of their premiums. However, their premiums can be regarded as being composed of two components: an implicit service charge, and a transfer payment to cover the risk of providing insurance cover. The non-life insurance service charge is defined as premiums earned plus premium supplements less expected claims. Premiums earned include direct premiums earned plus inward reinsurance premiums less outward insurance premiums and statutory charges paid. The item represents the amount of premium income earned during the financial year and includes movements in the unearned premium provision. Premium supplements represent income earned on the technical reserves of non-life insurance corporations, which consist of unearned premiums (most premiums are paid for a full year in advance), and claims incurred but not yet paid (which arise because of delays in claims being lodged and assessed, and in finalising the payment of claims). Premium supplements do not include any income from the investment of the insurance corporations' own funds. As the technical reserves are considered to be assets of the insurance policyholders, the investment income receivable by insurance enterprises must be shown in the accounts as being paid by the insurance enterprises to the policyholders. However, in practice this income is retained by the insurance enterprises. Therefore, it is treated as being paid back to the insurance enterprises in the form of premium supplements that are additional to actual premiums payable under the terms of the insurance policies. In the case of workers' compensation, it is the worker who is regarded as the policyholder for the purposes of attributing the imputed property income earned on the insurance companies' technical reserves, not the employer. Although the employer is legally the policyholder for workers' compensation, for national accounts purposes the employer is deemed to be acting on behalf of the employee in paying workers' compensation premiums. Consequently, workers' compensation premiums are included as part of employers' social contributions, which is a component of compensation of employees. Expected claims are generally defined as a centred five-year moving average of claims incurred. A moving average is used to avoid irregular movements in the non-life insurance service charge which would otherwise arise because of volatility in the annual data for claims incurred. For superannuation funds the insurance service charge is equal to the cost of running the fund; included are administrative and investment expenses. For life insurance and friendly societies, the insurance service charge is equal to the cost of running the business plus a profit margin. The profit margin is calculated by estimating a proxy return on equity. |
|
Data sources | ||
Balance sheet and income and expenditure data are used to compile the GOS for superannuation funds (superannuation), life insurance corporations (including friendly societies) and non-life (general) insurance corporations. Balance sheets:
Income and expenditure:
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GOS derivation | ||
GOS is calculated as: Insurance service charge (ISC) The following adjustment is also included to obtain GOS:
|
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Insurance service charge | ||
|
Non-life insurance corporations – the ISC is estimated as premiums earned plus investment income on the technical reserves less expected claims:
Life insurance corporations – the ISC is the sum of administrative costs incurred (including investment and labour costs) plus a profit margin. The profit margin is calculated by estimating a proxy return on equity. Superannuation funds – the ISC is the sum of administrative costs incurred (including investment and labour costs). |
|
Explicit charges | ||
Explicit charges include fees from stock lending activities. | ||
Gross non-land rent (excludes property income) | ||
Rental income is predominantly from commercial buildings and infrastructure. Other service income includes income made on trading in securities, excluding holding gains and losses on these activities. | ||
Expenses | ||
Expenses include wages and salaries, purchases of goods and services, and taxes on production and imports. Also included as expenses are the imputed services for both FISIM and non-life insurance attributable to corporations in the financial corporations sector. However, as business accounts of these financial corporations would have already included non-life insurance premiums as expenses and not the 2008 SNA concept of the insurance service charge, it is necessary to add back the premium payments. An adjustment is also required to ensure that all expenditure on research and development and expenditure on software of a capital nature are capitalised rather than being deducted as a current expense. |
Item | Comment |
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Auxiliary finance and insurance services | |
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Annual benchmarks for GOS of Auxiliary finance and insurance services are derived from the Economic Activity Survey, using the following calculation: Output |
Item | Comment |
---|---|
Health care and social assistance | |
Annual benchmarks for GOS of the Health industry are derived from the sum of the four quarters. |
Item | Comment |
---|---|
General Government | |
General government GOS is equivalent to the value of consumption of fixed capital on general government assets. By convention, the value of general government gross output is measured as the cost of producing that output, including consumption of fixed capital. GOS is estimated as equal to consumption of fixed capital and is therefore calculated as the residual of gross output less the costs incurred in producing that output. Consumption of fixed capital at current prices for general government is derived using the Perpetual Inventory Method (PIM). |
Item | Comment |
---|---|
Public non-financial corporations and quasi-corporations | |
The estimates of public non-financial corporations GOS are based on data from Government Finance Statistics, which are compiled using annual financial statements obtained from all Commonwealth and State Treasuries along with annual reports of corporations and quasi-corporations. The following adjustments are made:
|
Item | Comment |
---|---|
Financial corporations | |
Sum of the GOS for Finance (ANZSIC Subdivision 62), Insurance and Superannuation Funds (ANZSIC Subdivision 63) and Auxiliary Finance and Insurance Services (ANZSIC Subdivision 64) as described in the tables above. |
Item | Comment | |
---|---|---|
Dwellings owned by persons | ||
|
GOS for Ownership of Dwellings is derived as: Output at basic prices An estimate of GOS for dwellings owned by sectors other than households is deducted to obtain GOS for dwellings owned by persons. The sources for estimating GOS relating to ownership of dwellings by other sectors are:
|
|
Output at basic prices | ||
|
The output estimate is equivalent to the estimate of household final consumption expenditure on imputed rentals for housing plus the actual rental on housing. No further adjustments are made. The data sources and methods used to compile annual estimates of imputed rentals on housing and actual rental on housing are described in Chapter 10 (see Table 10.5 Annual household final consumption-Housing, water, electricity, gas and other fuels). |
|
Intermediate consumption | ||
|
Intermediate use related to GOS for dwellings owned by persons include:
|
|
Repairs and maintenance | ||
|
Repairs and maintenance are benchmarked from the periodic Household Expenditure Survey. The benchmarks are extrapolated using a combined indicator based on the estimated number of dwellings (the same estimate as used to estimate total dwelling rent) and movements in appropriate component price indexes from the CPI. In this context repairs and maintenance cover the actual repairs to the dwelling and preventative maintenance such as painting internal and external surfaces. However, purchases of goods and services associated with cleaning a dwelling are included in household final consumption expenditure. |
|
Building insurance | ||
Estimates for building insurance service charge (premiums plus premium supplements less expected claims) are derived from annual data published by the Australian Prudential Regulatory Authority. | ||
FISIM on dwelling loans | ||
FISIM comprises the imputed service charge component of interest payable on loans used to finance the purchase of dwellings by persons. | ||
Real estate management fees | ||
Estimates for real estate agents' management fees are derived using data from the Census of Population and Housing to estimate the proportion of rented dwellings managed by real estate agents, extrapolated by the number of rented dwellings for non-Census years. This proportion is applied to actual rent and multiplied by the average commission rate for each state. | ||
Loan application fees | ||
Estimates for loan application fees and other direct financial charges associated with dwellings are obtained from APRA. | ||
Miscellaneous expenses | ||
Estimates for miscellaneous expenses are derived as a percentage of actual rents and imputed rents. | ||
Other taxes on production | ||
Other taxes on production include:
|
||
Municipal rates | ||
General municipal rates are benchmarked from the periodic Household Expenditure Survey. The benchmarks are extrapolated using an indicator based on the Metropolitan and Municipal Improvement Rates series from the ABS publication, Government Finance Statistics, Annual. | ||
Land tax | ||
Estimates for land tax on residential land are based on data from Government Finance Statistics and State Treasuries. |
Item | Comment | |
---|---|---|
Total farm Gross operating surplus (GOS)/Gross Mixed Income (GMI) | ||
Total farm GOS/GMI is derived as: Gross value added for Agriculture (ANZSIC Subdivision 01) | ||
Gross value added for agriculture industry | ||
For the benchmark years, gross value added is directly sourced from the benchmark estimate. The gross value of agricultural production for the benchmark is estimated from data collected in the Economic Activity Survey, together with additional data from various marketing organisations, wholesalers, brokers and auctioneers. The general approach used is:
For wheat, the current period crop is initially valued at the price expected to be realised on eventual sale. For the latest year’s output and intermediate use (and therefore gross value added) for agriculture is estimated using data published in the ABS publication, Value of Agricultural Commodities Produced, Australia, and is supplemented by annual data from the ABARES publication, Agricultural Commodities. Compensation of employees is estimated using supply-use benchmarks for wages and salaries and employer social contributions. | ||
Production valuation adjustment (PVA) | ||
See Table 10.54 Quarterly changes in inventories - Inventory Valuation Adjustment (IVA). The PVA is compiled up to June quarter 2010 for wheat inventories and March quarter 2011 for wool inventories prior to the cessation of marketing boards. | ||
Compensation of employees | ||
Is directly sourced from the benchmark estimate of agriculture compensation of employees. | ||
Other taxes on production | ||
Are directly sourced from the benchmark estimate of agriculture other taxes on production. | ||
Other subsidies on production | ||
Are directly sourced from the benchmark estimate of agriculture other subsidies on production. | ||
Split of total farm GOS/GMI into farm GOS and farm GMI | ||
| A ratio of unincorporated enterprises to incorporated enterprises for the agriculture industry is derived using data from the Australian Industry Statistics (AIS). This ratio is reviewed from time to time to ensure it remains relevant to current industry conditions. This ratio is applied to the total farm GOS/GMI estimate to derive the farm GOS and farm GMI estimates. The following calculation is then made: Total private non-financial corporations GOS and GMI |
Item | Comment | |
---|---|---|
Non-farm private non-financial corporations and quasi-corporations GOS from Australian Taxation office (ATO) data | ||
|
Annual estimates for non-farm private non-financial corporations and quasi-corporations are derived from Australian Taxation Office (ATO) statistics supplemented by information from the ABS and other sources. Estimates for the most recent two years are based on preliminary tax data and various other indicators as there is a time lag in obtaining complete income tax data. At the time of the release of the annual national accounts, the third last year is based on complete tax data, the second last year is based on preliminary tax data and the last year is based on the same sources as those used to prepare the quarterly estimates. Net business income for private non-financial corporations (excluding agriculture) is derived from the ATO data as follows: Total income To align the net business income as closely as possible with 2008 SNA guidelines for GOS, the following adjustments are made: Non-farm private non-financial GOS equals: |
|
Depreciation | ||
This adjustment is required because in the net business income data, depreciation has already been deducted as an expense but for national accounting purposes the decline in the value of assets (consumption of fixed capital) is not deducted when deriving GOS. | ||
Net interest, land rent and rent on natural resource assets | ||
|
Estimates for net interest, land rent and rent on natural resource assets are prepared using a matrix of flows for each of the three components. The matrices represent a fully balanced system of flows between each sector including the unincorporated sector. They are constructed using data from Government Finance Statistics; ABS collections from financial corporations; Reserve Bank of Australia; Australian Prudential Regulatory Authority; the ABS Balance of Payments; and Australian Taxation Office. This adjustment is applied as net business income has already included net interest, land rent and rent on natural resource assets in its calculation but GOS needs to be valued prior to taking these items into account. |
|
Finance lease adjustment | ||
The finance lease adjustment is required because businesses can choose to write off the whole of the lease payments as a deduction for taxation purposes in the period of payment whereas, for national accounting purposes, lease payments are divided into notional interest and principal components and only the service charge component of the interest payable is deducted in deriving GOS. Estimates of the adjustment have been derived from tax data and ABS statistics on financial corporations' income derived from finance leasing. | ||
Understatement of net business income | ||
Understatement of net business income can arise as a result of businesses understating business receipts or overstating expenses (or both) in their income tax returns, or by not filing a tax return at all. To the extent that such understatement remains undetected by the Australian Taxation Office, without adjustment the basic source data for estimates of GOS will be negatively biased. Consequently, an adjustment is made to the net business income data obtained from tax data for the purpose of compiling estimates of GOS. There is limited direct evidence about the extent of understatement, for example, by ongoing audits of a random sample of businesses by the Australian Taxation Office. Therefore, the adjustment applied relies on an assessment of diverse information including anecdotal evidence. | ||
Intellectual property products | ||
Expenditure on software which is to be used in the production process for more than one year is treated as part of gross fixed capital formation rather than as intermediate consumption, so an adjustment is made to the intermediate consumption estimate to reflect the correct treatment. A similar adjustment is also applied for expenditure on research and development and for artistic originals which are capitalised. | ||
Non-life insurance premiums | ||
An adjustment is made to add back in the total amount of non-life insurance premiums as a business can expense the whole of their payments for insurance but for national accounting purposes they are not considered as part of intermediate consumption when calculating GOS. | ||
Insurance service charge | ||
A further adjustment is also made to account for the value of the imputed insurance services consumed by incorporated businesses. | ||
FISIM | ||
An adjustment is required to appropriately record the value of imputed financial services consumed by incorporated businesses. | ||
Inventory valuation adjustment | ||
Described in Chapter 10 (see Table 10.57 Quarterly changes in inventories-Inventory Valuation Adjustment (IVA). | ||
Non-farm GMI from Australian Taxation Office data | ||
|
Annual non-farm GMI for unincorporated enterprises is derived from the Australian Taxation Office statistics supplemented by information from ABS and other sources. Estimates for the most recent two years are based on preliminary tax data and various other indicators as there is a time lag in obtaining complete income tax data. At the time of the release of the annual national accounts, the third last year is based on complete tax data, the second last year is based on preliminary tax data and the last year is based on the same sources as those used to prepare the quarterly estimates. Net business income for non-farm GMI is derived from the ATO data as follows: Total income The following adjustments are made in order to align the net business income as closely as possible with 2008 SNA guidelines for GMI: Non-agricultural GMI equals; |
|
Depreciation | ||
This adjustment is required because in the net business income data, depreciation has already been deducted as an expense but for national accounting purposes the decline in the value of assets (consumption of fixed capital) is not deducted when deriving GMI. | ||
Net interest, land rent and rent on natural resource assets | ||
|
Estimates for net interest, land rent and rent on natural resource assets are prepared using a matrix of flows for each of the three components. The matrices represent a fully balanced system of flows between each sector including the unincorporated sector. They are constructed using data from Government Finance Statistics; ABS collections from financial corporations; Reserve Bank of Australia; Australian Prudential Regulatory Authority; the ABS Balance of Payments; and Australian Taxation Office. This adjustment is applied as the net business income has already included net interest, land rent and rent on natural resource assets in its calculation but GMI needs to be valued prior to taking these items into account. |
|
Finance lease adjustment | ||
The finance lease adjustment is required because businesses can choose to write off the whole of the lease payments as a deduction for taxation purposes in the period of payment whereas, for national accounting purposes, lease payments are divided into notional interest and principal components and only the service charge component of the interest payable is deducted in deriving GMI. Estimates of the adjustment have been derived from tax data and ABS statistics on financial corporations' income derived from finance leasing. | ||
Owner builders’ GMI | ||
Owner-builders' GMI is derived as a proportion of owner-builders' value of work done, as recorded in the quarterly Building Activity Survey. | ||
Net non-dwelling rent received | ||
Net non-dwelling rent received is based on taxation data adjusted to exclude rent received on tenanted dwellings. This adjustment is made in order to capture all units that receive income from rents or dividends. | ||
Understatement of net business income | ||
Understatement of net business income can arise as a result of businesses understating business receipts or overstating expenses (or both) in their income tax returns, or by not filing a tax return at all. To the extent that such understatement remains undetected by the Australian Taxation Office, without adjustment the basic source data for estimates of GMI will be negatively biased. Consequently, an adjustment is made to the net business income data obtained from tax data for the purpose of compiling estimates of GMI. There is limited direct evidence about the extent of understatement (e.g. by ongoing audits of a random sample of businesses by the Australian Taxation Office). Therefore, the adjustment applied relies on an assessment of diverse information including anecdotal evidence. | ||
‘Backyard’ production | ||
An allowance is included for the imputed income derived by households who produce some of their own goods. | ||
Intellectual property products | ||
Expenditure on software which is to be used in the production process for more than one year is treated as part of gross fixed capital formation rather than as intermediate consumption so an adjustment is made to the intermediate consumption estimate to reflect the correct treatment. A similar adjustment is also applied for expenditure on research and development and for artistic originals which are capitalised. | ||
Non-life insurance premiums | ||
An adjustment is made to add back in the total amount of non-life insurance premiums as a business can expense the whole of their payments for insurance but for national accounting purposes they are not considered as part of the intermediate consumption when calculating GMI. | ||
Insurance service charge | ||
A further adjustment is also made to account for the value of the imputed insurance services consumed by unincorporated businesses. | ||
FISIM | ||
A similar adjustment is also required to appropriately record the value of imputed financial services consumed by unincorporated businesses. | ||
Inventory valuation adjustment | ||
Described in Chapter 10 (see Table 10.57 Quarterly changes in inventories-Inventory Valuation Adjustment (IVA)). | ||
Split non-farm private non-financial corporations (and quasi-corporations) GOS and non-farm GMI | ||
|
Australian Taxation Office data are used to derive the ratios of non-farm private non-financial corporations (and quasi-corporations) GOS and non-farm GMI to total non-farm GOS and GMI. These ratios are applied to total non-farm private non-financial corporations GOS and non-farm GMI to obtain estimates for both components. |
Item | Comment |
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Private non-financial corporations and quasi-corporations GOS | |
The sum of farm private non-financial corporations GOS and non-farm private non-financial corporations GOS. | |
GMI | |
The sum of farm GMI and non-farm GMI. |
Latest year
11.33 The sources and methods used to estimate GOS for Dwellings owned by persons are the same as for the benchmark years.
11.34 The tables below outline the data sources and methods used in the estimation of GOS and GMI for the latest financial year by institutional sector in current prices only. Volume estimates are not calculated for GOS and GMI.
Item | Comment |
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Private non-financial corporations | |
Derived by extrapolating the benchmarked annual gross operating surplus for the year t-1, using the movements in annualised quarterly estimates, of company gross operating profit (CGOP), between year t-1 and t, from the Quarterly Business Indicators Survey. CGOP measures the profit earned from the production of goods and services, excluding the effects of financing activities and income tax. | |
Public non-financial corporations | |
Derived by extrapolating the latest benchmark year t-1 using an annual indicator obtained from quarterly data from Government Finance Statistics. | |
Financial corporations | |
For the latest year, GOS for financial corporations is compiled using data sources and methodology as described for the annual benchmarks section for (i) financial services and (ii) insurance and pensions funds services. Separate growth rates are derived for the latest year (t) and the unbenchmarked (prior to supply-use balancing) year t-1 GOS estimates for (i) financial services and (ii) insurance and superannuation funds services. The growth rates are applied to the benchmarks for the year t-1 to derive GOS estimates for the latest year for (i) financial services and (ii) insurance and pension superannuation services. For auxiliary finance and insurance services GOS, an annual output indicator representing the funds management industry (a significant contributor to the GOS of auxiliary services) is derived. The pension fund investment expense from the GOS calculation of superannuation funds is used as the indicator. The superannuation funds predominately use the funds management industry to invest their members’ funds, and the investment expense would represent the fees charged by the funds management industry. The growth rate for the latest year from the indicator series is applied to the benchmarks for the year t-1 to derive GOS estimates for the latest year for auxiliary finance and insurance services. The latest year GOS estimates for (i) financial services, (ii) insurance and superannuation funds services and (iii) auxiliary finance and insurance services are summed to produce the total GOS for financial corporations. | |
General Government | |
General government GOS is equivalent to the value of consumption of fixed capital on general government assets because, by convention, the value of general government gross output is measured as the cost of producing that output, including consumption of fixed capital. GOS is calculated as gross output less the costs incurred in producing that output (but before deducting consumption of fixed capital), leaving consumption of fixed capital as the residual. For the latest year annual estimates of consumption of fixed capital at current prices for general government (general government GOS) are derived using a Perpetual Inventory Method. |
Item | Comment |
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Farm | |
Total farm gross operating surplus and gross mixed income for the latest year is derived using a production approach and is measured as gross value of agricultural production less the costs incurred (but before deducting net interest and land rent paid and consumption of fixed capital). The gross value of agricultural production includes an allowance for backyard production of fruit and vegetables and the value of meat produced from livestock raised for household use. Gross value of production for agriculture is estimated using data in the ABS publication, Value of Agricultural Commodities Produced, Australia, and is supplemented by annual data from the ABARES publication, Agricultural Commodities. Intermediate inputs use the same data sources as the gross value of production. Compensation of employees is estimated using S-U benchmarks for wages and salaries and employer social contributions and extrapolating benchmark estimates for the latest year using data from the ABARES publication, Agricultural Commodities (Farm Costs and Returns – Labour). An estimate of farm GOS for private non-financial corporations and quasi-corporations has to be removed from total farm GOS and GMI to obtain an estimate of gross mixed income of farm unincorporated enterprises. The estimate of farm GOS for private non-financial corporations is derived by applying ratios of unincorporated and incorporated farm enterprises to the total farm GOS and GMI. This ratio was derived from business income data from Australian Taxation Office several years ago. |
|
Non-farm | |
|
Non-farm GMI is derived by extrapolating the benchmarked annual gross mixed income for the year t-1, using the movements in annualised quarterly estimates of unincorporated gross operating profit (UGOP), between year t-1 and t, from the quarterly Business Indicators, Australia. UGOP measures the profit earned from the production of goods and services, excluding the effects of financing activities and income tax. UGOP is used for most industries with the exception of:
|
Total Gross Mixed Income (GMI) | |
The summation of farm GMI and non-farm GMI. |
Sources and methods - Quarterly
11.35 The tables below outline the data sources and methods used in the estimation of quarterly GOS and GMI by institutional sector in current prices only. Note NPISHs are not distinguished as a separate sector as they are included the household sector. Consequently, GOS of NPISHs is implicitly included. Volume estimates are not calculated for GOS and GMI.
Item | Comment |
---|---|
Private non-financial corporations and quasi-corporations | |
|
The annual benchmarks are allocated to quarters using gross operating profits data from the Quarterly Business Indicators Survey. For incomplete years the quarterly estimates of private non-financial corporations GOS are calculated by extrapolating the latest quarterly estimates that have been benchmarked to an overall annual level. The movements in the gross operating profits data from the Quarterly Business Indicators Survey are used as the indicator. |
Public non-financial corporations and quasi-corporations | |
Estimates of public non-financial corporations GOS from quarterly Government Finance Statistics are used as an indicator to extrapolate the latest annual estimate. |
Item | Comment | |
---|---|---|
Gross mixed income | ||
Non-farm GMI | ||
|
Annual non-farm GMI estimates are allocated to the quarters and extrapolated for quarters in year t-1 (and quarters in the incomplete year) based on a combination of QBIS data for unincorporated enterprises, average weekly earnings and labour force self-employed data as indicators. This provides an estimate for the majority of the unincorporated non-farm businesses but due to the limitations of the QBIS data when surveying unincorporated enterprises, additional sources are required:
|
|
Farm GMI | ||
|
A range of indicators are used to allocate annual estimates of farm GMI to quarters. Estimates for the current years’ quarters are derived as a quarterly allocation of forecast annual totals. The allocations are based on estimated patterns of production and costs and are progressively updated as data become available. As mentioned previously, the annual estimates (including forecasts) largely depend on the Australian Bureau of Agricultural Resources and Sciences data, which are regularly revised to reflect weather and market conditions.
Annual estimates of farm production costs are allocated to quarters on the basis of the pattern of usage appropriate for each particular input. Some inputs are particularly seasonal, such as seed, fodder, fertilisers, fuel usage and the wages of seasonal workers. Other inputs, such as marketing costs, are allocated according to the estimated gross value of production in each quarter or on the basis of linear trend. |
Item | Comment | |
---|---|---|
Dwellings owned by persons | ||
|
GOS for ownership of dwellings on a quarterly basis is derived as: Output at basic prices An estimate of GOS for dwellings owned by sectors other than households is deducted to obtain GOS for dwellings owned by persons. |
|
Output | ||
|
The output estimate is equivalent to the estimate of household final consumption expenditure on imputed rentals for housing plus the actual rental on housing. No further adjustments are made. The data sources and methods used to compile quarterly estimates of imputed rentals on housing and actual rental on housing are described in Chapter 10 (see Table 10.18 Quarterly household final consumption expenditure - Housing, water, electricity, gas and other fuels). |
|
Intermediate consumption | ||
|
Intermediate use related to dwellings owned by persons GOS includes:
|
|
FISIM | ||
The imputed financial service charge relating to dwellings owned by persons is included. The concept of (FISIM) and the methods used to estimate it are described in the financial corporations GOS section (see Table 11.23). | ||
Municipal rates | ||
Annual estimates for municipal rates are allocated equally across the quarters. | ||
All other intermediate consumption components | ||
All other intermediate use categories are calculated using a linear trend of the respective annual estimate. |
Item | Comment |
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General Government | |
|
GOS of general government is equivalent to the value of consumption of fixed capital on general government assets because, by convention, the value of general government gross output is measured as the cost of producing that output, including consumption of fixed capital. GOS is calculated as gross output less the costs incurred in producing that output (but before deducting consumption of fixed capital), leaving consumption of fixed capital as the residual. On a quarterly basis estimates of consumption of fixed capital at current prices for general government (general government GOS) are derived by extrapolation using a linear trend model. |
Item | Comment | |
---|---|---|
Financial corporations and quasi-corporations | ||
The quarterly estimates for GOS of financial corporations are derived by producing output indicators series within the subcategories:
|
||
Financial services | ||
For financial services, the output indicator is quarterly bank total FISIM. The estimates are compiled using bank balance sheets (Australian National Accounts: Finance and Wealth and the detailed breakdown for bank loans and deposits (from APRA’s monthly Statement of Financial Position); income and expenditure (from the suite of APRA forms: the quarterly bank Statement of Financial Performance); and indicator interest rates (from the RBA’s Statistical Bulletin). The methodology is the same as described for the annual benchmarks for FISIM. | ||
Insurance and superannuation funds services | ||
|
The output indicator is made up of the following:
A weighted (based on the annual insurance service charge estimates) sum of the three components is derived to produce a quarterly indicator of the insurance service charge. |
|
Auxiliary finance and insurance services | ||
The quarterly output indicator is the same as the annual output indicator (i.e. pension fund investment expenses). Total investment expenses of superannuation funds are sourced from the Quarterly Superannuation Performance Statistics published by the Australian Prudential Regulatory Authority. The quarterly financial auxiliary output indicator is calculated using the quarterly movement of the indicator source data against the previous quarter’s financial auxiliary output indicator. | ||
Total financial corporations and quasi-corporations GOS | ||
A weighted (based on the annual GOS estimates for the subcategories) sum of the three output indicators is derived to produce the quarterly total financial corporation GOS indicator series. The quarterly indicator is used to produce the quarterly total financial corporations GOS series by applying a benchmarking process to the annual series of total financial corporations GOS. |
Taxes less subsidies on production and imports
Concept
11.36 Taxes payable on production and imports are part of primary income receivable by the general government sector (and, where applicable, non-resident governments) and are payable by other sectors and non-residents. All other current taxes are included in secondary income.
11.37 Taxes on production and imports are disaggregated into two components:
- Taxes on products, which include:
- taxes that are payable on goods and services when they are produced, delivered, sold, transferred or otherwise disposed of by their producers; and
- taxes and duties on imports payable when goods enter the economic territory or when services are delivered to residents by non-residents.
- Other taxes on production, which include
- taxes related to the payroll or workforce numbers excluding compulsory social security contributions paid by employers and any taxes paid by the employees themselves out of their wages or salaries; recurrent taxes on land, buildings or other structures; some business and professional licences where no service is provided by the Government in return; taxes on the use of fixed assets or other activities; taxes on pollution; and taxes on international financial transactions.
11.38 These two components are required to define the relationships between three important income aggregates: total factor income; gross value added at basic prices; and gross domestic product at market prices. Total factor income plus other taxes less subsidies on production equals gross value added at basic prices, while gross value added at basic prices plus taxes less subsidies on products equals gross domestic product at market prices. For individual units and sectors, taxes on products are not recorded with income when output is valued at basic prices. However, the taxes are recorded with income for the economy as a whole to derive GDP at purchasers' prices.
11.39 GST (from 1 July 2000), wholesale sales taxes (prior to 1 July 2000), customs duties, excise taxes and taxes on financial and capital transactions are examples of taxes on products. On the other hand, local government rates, land taxes, payroll taxes, motor vehicle registration charges paid by businesses and taxes on pollution are examples of other taxes on production.
11.40 One of the functions of government is to issue a licence or other certificate for which a fee is payable in order for some activity to be undertaken or for the ownership or use of certain goods to be allowed. If the issue of such licences involves little or no work by the government, and the licence is being granted automatically on payment of the amount due, then it is likely the licence is simply a mechanism to raise revenue and therefore a tax. If the government exercises some proper regulatory function, payments are treated as purchases of services rather than payment of taxes, unless the payments are clearly out of all proportion to the costs of providing the services. Examples of regulatory functions are checking the competence, or qualifications, or the person concerned; checking the efficient and safe functioning of equipment; or carrying out some other form of control that it would otherwise not be obliged to do.
11.41 Subsidies are unrequited payments that government units (including, if applicable, non-resident government units) make to resident producers or importers on the basis of the levels of their production activities or the quantities or values of the goods or services which they produce, sell or import. Examples include export incentive grants, dairy industry stabilisation payments, the phosphate fertiliser bounty, and the Tasmanian freight equalisation scheme. Subsidies are paid to influence producers' level of output, the prices at which outputs are sold or the remuneration of the producers. Subsidies can be thought of as negative taxes because their impact on producers' incomes is the opposite of taxes on production.
11.42 Subsidies are not payable to households. Current transfers in cash that governments make directly to households and where households have the discretion on how to the use the transfer are treated as social assistance benefits in cash (e.g. old age pensions). Expenditures by government on goods and services produced by market producers that are provided directly to households, individually as consumers, without any further processing, constitute final consumption expenditure by general government and also social benefits in kind. Subsidies also do not include grants that governments make to enterprises to finance their capital formation, or to compensate them for damage to their capital assets, such grants being treated as capital transfers.
11.43 Consistent with taxes, subsidies on production are disaggregated into two components:
- Subsidies on products
- Other subsidies on production.
11.44 Subsidies on products are usually payable when the goods or services are produced, sold or imported, although they may also be payable in other circumstances, such as when goods are transferred, leased, delivered or used for own consumption or own capital formation. Subsidies on products may be a specific amount of money per unit of a good or service or they may be calculated ad valorem as a specified percentage of the price per unit. Other subsidies on production consist of subsidies other than those on products, including subsidies on the payroll or workforce, and may relate to the total salary bill or the employment of particular types of persons, such as handicapped persons and the long-term unemployed. Examples of Other subsidies on production include the JobKeeper and Boosting cash flow for employers’ policies.
Sources and methods - Annual
Benchmark years
11.45 The table below outlines the data sources and methods used in the estimation of annual taxes and subsidies on production and imports in current prices.
Item | Comment | |
---|---|---|
Taxes less subsidies on production and imports | ||
Data from Government Finance Statistics from the ABS publication, Government Finance Statistics, Annual is the main source used to compile taxes and subsidies for all levels of government. Government Finance Statistics – classified by tax type and purpose – are used to compile taxes and subsidies. Each tax type and purpose category are defined as relating to either taxes and subsidies on products or other taxes and subsidies on production. |
||
Taxes and subsidies on products | ||
Taxes and subsidies on products are allocated to specific products using a number of methods. These include household final consumption expenditure proportions in the case of the Goods and Services Tax (GST) and supply proportions for other taxes on products. Subsidies are allocated according to the product which best fits the specific purpose category. | ||
Other taxes and subsidies on production and imports | ||
Other taxes and subsidies on production are also allocated to specific industries. Land taxes and rates are allocated using proportions from EAS data, while payroll taxes are allocated on the basis of compensation of employees’ proportions. JobKeeper and Boosting cash flow for employers’ policies are allocated using administrative data from the ATO. Other taxes and subsidies on production are allocated to industry based on historical input and output proportions. |
Latest year
11.46 Annual estimates of the latest financial year for production taxes and subsidies are derived by summing the four quarterly estimates using data from Government Finance Statistics.
11.47 Other taxes and subsidies on production are allocated to specific industries based on proportions calculated from various indicator series. These include:
- Payroll taxes are allocated to specific industries based on payroll tax by industry data from the ABS publication, Labour Costs, Australia.
- Land taxes and municipal and metropolitan improvement rates are allocated to the Ownership of Dwellings industry based on the proportion of the value of residential land to the total value of land. The remaining Land taxes and Municipal and metropolitan improvement rates are allocated equally amongst the other industries.
- Motor vehicle taxes (not including those paid by households) are allocated to specific industries based on the proportion of the capital stock of motor vehicles.
- Carbon tax, Taxes on renewable energy certificates, Carbon subsidies and Subsidies on renewable energy certificates are allocated to specific industries based on their emissions of greenhouse gases and relevant acquisitions of electricity respectively.
- From 1 July 2017, the Major Bank Levy is allocated to Finance (ANZSIC subdivision 62).
- From 1 April 2020, COVID-19 related other subsidies on production, such as the JobKeeper and Boosting cash flow for employers’ policies, are allocated to industries using ATO administrative data.
Sources and methods - Quarterly
11.48 The table below outlines the data sources and methods used in the estimation of quarterly taxes and subsidies on production and imports in current prices.
Item | Comment | |
---|---|---|
Taxes less subsidies on production and imports | ||
|
Information about Commonwealth and State general government production taxes and subsidies is received from Government Finance Statistics, which are obtained from administrative sources such as the Commonwealth Department of Finance quarterly ledger, and State government quarterly statements of receipts and expenditure. Quarterly data for local government rates are collected from a sample of local government authorities. For those production taxes and subsidies where an adjustment to a payable basis is made, the accrual figure is estimated by allocating cash receipts and payments (or estimated cash receipts and payments) to quarters according to the proportion of production or activity occurring in each quarter. For example, the quarterly Goods and Services Tax (GST) is extrapolated using expenditure on goods and services that attract GST. Household final consumption expenditure, gross fixed capital formation, lawyer and real estate fees and intermediate consumption by financial corporations are used for this allocation. |
|
Other taxes less subsidies on production and imports | ||
|
Total other taxes and subsidies on production are sourced from quarterly GFS data. Other taxes and subsidies on production are also allocated to specific industries quarterly where the same proportions used to establish the latest year estimates by industry are applied. The data are split into industries for known other taxes and subsidies on production using various sources, including GFS, ATO, Survey of Major Labour Costs, motor vehicle capital stock data and the proportion of residential land to the total value of land. Known other taxes on production are those taxes for which quarterly estimates are available. These include payroll tax, taxes on capital and financial transactions, motor vehicle tax, land tax and municipal rates, carbon tax and the surrender of Renewable Energy Certificates from energy generators and use of ATO data. Known other subsidies on production are those subsidies for which quarterly estimates are available. These include Renewable Energy Certificates, carbon credits, and the COVID-19 specific subsidies including JobKeeper, Boosting cash flow for employers, Supporting apprentices and trainees, Aged care preparedness, and the Early childhood education and care relief packages. Industry estimates are obtained by extrapolating off the latest Supply-Use benchmarks using the indicator series described above. See paragraph 11.47 for further details. |
Gross value added
11.49 The compilation of annual current price GVA estimates are described in Chapter 9 Gross Domestic Production - Production approach.
11.50 Quarterly current price estimates of gross values added (GVA) by industry are compiled from the income approach. GVA can be distributed as either factor income or as flows to government. This relationship is represented as follows:
Current Price GVA | = | Compensation of employees (COE) |
+ | Gross operating surplus (GOS) and Gross mixed income (GMI) | |
+ | Other taxes on production | |
- | Other subsidies on production |
11.51 Quarterly estimates of compensation of employees, gross operating surplus and gross mixed income, other taxes on production and other subsidies on production by industry are described below.
11.52 The table below outlines the data source and methods used in the quarterly compilation of each component of current price GVA. Estimates are produced from 1 July 2002.
Item | Comment | |
---|---|---|
Compensation of employees | ||
The public and private sector contribution to wages and salaries for each industry is determined using information from the Survey of Employment and Earnings, Public Sector, Australia which provides the public sector split of wages and salaries by industry. For industries with no public sector contribution, QBIS wages per industry is used to extrapolate off the latest supply-use benchmark. For industries with public sector contribution a combination of indicator series is used to produce the quarterly estimates. This includes wages and salaries by industry from QBIS to account for private wages and GFS for public wages. These indicators are used to extrapolate the latest annual estimate based on their respective private and public sector COE indicator. Estimates from ABARES are used as the indicator for the Agriculture, Forestry and Fishing industry. | ||
Gross operating surplus and mixed income | ||
GOS/GMI for each industry is constructed by adding together the GOS/GMI for the following institutional sectors: | ||
Private non-financial corporations | ||
Private non-financial corporations GOS by industry estimates are calculated by extrapolating the latest quarterly estimates off annual benchmarks. QBIS CGOP by industry is the source for all industries excluding Agriculture, Forestry and Fishing, Public Administration and Safety, Education and Training and Health Care and Social Assistance. Estimates from ABARES are used as the indicator for the Agriculture, Forestry and Fishing industry. Quarterly estimates for Public Administration and Safety; Education and Training; and Health Care and Social Assistance are derived using linear trend interpolation method. | ||
Public non-financial corporations | ||
Public non-financial corporations GOS by industry estimates are obtained by extrapolating the GFS annual estimate of public gross operating surplus using the quarterly GFS indicator series for public gross operating surplus. | ||
Financial corporations | ||
See Table 11.23 (Quarterly gross operating surplus-Financial corporations and quasi-corporations) for details of the quarterly compilation of GOS for the Finance and Insurance industry. | ||
General Government | ||
General Government GOS is equivalent to the value of consumption of fixed capital on general government assets. On an annual basis, general government consumption of fixed capital by industry estimates are produced using the Perpetual Inventory Model (PIM). A linear trend interpolation is applied to these annual estimates to obtain the quarterly estimates. For more information on the quarterly compilation of General Government GOS, see Table 11.22 Quarterly gross operating surplus-General government. | ||
Gross operating surplus – dwellings own by persons | ||
See Table 11.21 (Quarterly gross operating surplus-Dwellings owned by persons) for details of quarterly compilation | ||
Gross mixed income | ||
| Quarterly estimates of GMI are obtained by extrapolating the latest quarterly estimates off the latest annual benchmark estimate of GMI. For most industries, the industry UGOP estimate is used as the indicator, however, certain industries use other data sources. These include:
| |
Other taxes and subsidies on production | ||
See Table 11.25 Quarterly taxes less subsidies on production and imports for details of the quarterly compilation and industry distribution of other taxes and subsidies on production. |
Chapter 12 The production account
12.1 Production accounts record the expenses incurred in production and the receipts from sales of goods and services. Sales of goods and services (including goods and services produced for own use) are recorded on the credit (or receipts) side of the account (referred to as the "Resources" side of the accounts in the 2008 SNA). On the debit (or payments) side, expenses of production are recorded; namely, intermediate consumption, compensation of employees, taxes less subsidies on production and imports, gross operating surplus and gross mixed income (referred to as the "Uses" side of the accounts in the 2008 SNA). The gross domestic product account is, in effect, a consolidation of the trading accounts of individual enterprises.
12.2 The receipts side of the gross domestic product account in the ASNA shows sales of goods and services to final consumers (including exports less imports) and changes in inventories. Because only sales to final consumers are shown, revenue from the sale of intermediate goods and services (i.e. goods and services used up in the production of final output) does not appear. In the process of consolidation of the production accounts of all sectors, intermediate goods and services cancel out as the revenue of one producer is a cost to another. On the payments side the incomes from production are shown; namely, compensation of employees, gross operating surplus, gross mixed income and net taxes on production and imports. Where the gross domestic product account has been derived from balanced S-U tables, the sums of the two sides of the account are balanced; otherwise, statistical discrepancies are inserted to achieve balance.
12.3 In the ASNA, the GDP accounts are shown as:
GDP ACCOUNTS | ||
---|---|---|
PRODUCTION | EXPENDITURES | INCOME |
Gross value added | Final consumption expenditure | Compensation of employees |
Taxes less subsidies on products | Gross fixed capital formation | Gross operating surplus |
Domestic final demand | Gross mixed income | |
Changes in inventories | Total factor income | |
Gross national expenditure | Taxes less subsidies on production and imports |
|
Exports of goods and services less Imports of goods and services |
||
Statistical discrepancy (P) | Statistical discrepancy (E) | Statistical discrepancy (I) |
Gross domestic product | Gross domestic product | Gross domestic product |
Chapter 13 The income account
Types of income accounts and additional components to compile income accounts
Types of income accounts
13.1 The national income account shows how gross disposable income is used for final consumption expenditure and the consumption of fixed capital (depreciation), with the balance being the nation's net saving. On the sources of income side, it shows compensation of employees, gross operating surplus, gross mixed income (from unincorporated enterprises) and taxes less subsidies on production and imports. Net secondary income from non-residents is added to derive gross national disposable income.
13.2 Saving is carried forward into the capital account. Saving must be used to acquire financial or non-financial assets of one kind or another, including cash, the most liquid of financial assets, or to reduce liabilities. When saving is negative, the excess of consumption over disposable income must be financed by disposing of assets or incurring liabilities.
Sources of income | Use of income | ||
---|---|---|---|
Compensation of employees | Final consumption expenditure | ||
Gross operating surplus | General government final consumption expenditure | ||
Gross mixed income | Households final consumption expenditure | ||
Taxes less subsidies on production and imports | Consumption of fixed capital | ||
Net primary income from non-residents | Net savings | ||
Gross national income | Non-financial corporations | ||
Net secondary income from non-residents | Financial corporations | ||
Current taxes on income, wealth, etc. | General government corporations | ||
Other secondary income | Households | ||
Gross disposable income | Gross disposable Income |
13.3 The sectoral income accounts are disaggregations of the national income account, and record for each institutional sector its net income arising both from production and from transfers from other sectors, and its uses of income (disbursements). The difference between income and use of income is net saving (the balancing item). Income accounts are also compiled for selected subsectors. As consumption of fixed capital is not calculated for some subsectors, the balancing item in their subsector accounts is equal to net saving plus consumption of fixed capital (i.e. gross saving). This applies to public and private non-financial corporations subsectors.
13.4 The income accounts for corporations (both financial and non-financial), show income arising from gross operating surplus from the Income from GDP account and property income (such as interest, dividends, reinvested earnings on direct foreign investment and investment funds, property income attributed to insurance policyholders, and rent on natural assets) from other sectors. Total income is used to make various payments (such as interest, dividends, reinvested earnings on direct foreign investment and investment funds, property income attributed to insurance policyholders, and rent on natural assets) to other sectors. The balance is the saving of the respective sectors and is transferred to their capital accounts.
13.5 The following tables are representations of the non-financial and financial corporations income accounts as presented in the ASNA. The subsectoral accounts for private and public non-financial corporations are consistent with the non-financial corporations account.
Sources of income | Use of income | ||||
---|---|---|---|---|---|
Primary income receivable | Primary income payable | ||||
Gross operating surplus | Property income payable | ||||
Property income receivable | Interest | ||||
Interest | Dividends | ||||
Dividends | Reinvested Earnings | ||||
Reinvested Earnings | Rent on natural assets | ||||
Property income attributed to insurance policy holders | |||||
Rent on natural assets | |||||
Secondary income receivable | Secondary income payable | ||||
Non-life insurance claims | Current taxes on income, wealth, etc. | ||||
Other current transfers | Income taxes | ||||
Other current taxes on income, wealth, etc. | |||||
Net non-life insurance premiums | |||||
Current transfers to non-profit institutions | |||||
Other current transfers | |||||
Gross disposable income | |||||
Consumption of fixed capital | |||||
Net saving | |||||
Total gross income | Total use of gross income |
Sources of income | Use of income | ||||
---|---|---|---|---|---|
Primary income receivable | Primary income payable | ||||
Gross operating surplus | Property income payable | ||||
Property income receivable | Interest | ||||
Interest | Dividends | ||||
Dividends | Reinvested earnings | ||||
Reinvested earnings | Property income attributable to insurance policy holders | ||||
Rent on natural assets | Rent on natural assets | ||||
Secondary income receivable | Secondary income payable | ||||
Net non-life insurance premiums | Current taxes on income, wealth, etc. | ||||
Other current transfers | Income taxes | ||||
Other current taxes on income, wealth, etc. | |||||
Net non-life insurance claims | |||||
Other current transfers | |||||
Gross disposable income | |||||
Consumption of fixed capital | |||||
Net saving | |||||
Total gross income | Total use of gross income |
13.6 The income account of the household sector shows compensation of employees, gross mixed income (on account of unincorporated enterprises) and gross operating surplus on dwellings owned by persons, which are all from the Income from GDP account, as well as property income (interest, dividends, reinvested earnings on investment funds, property income attributed to insurance policyholders and rent on natural assets) from other sectors, social benefits receivable (social insurance benefits – workers' compensation claims and social assistance benefits) and various other forms of secondary income (such as non-life insurance claims, current transfers to NPIs and other current transfers). Use of income shows final consumption expenditure, consumer debt interest and dwellings and other property income payable, income taxes and other current taxes payable, other current transfers, consumption of fixed capital (on account of unincorporated enterprises and dwellings owned by persons) and net saving (the balancing item).
13.7 The following table is a representation of the household income account as presented in the ASNA.
Sources of income | Use of income | ||||
---|---|---|---|---|---|
Primary income receivable | Primary income payable | ||||
Gross operating surplus - dwellings owned by persons | Property income payable | ||||
Gross mixed income | Interest - Dwellings | ||||
Compensation of employees | Interest - Consumer debt | ||||
Property income receivable | Interest - Unincorporated enterprises | ||||
Interest | Rent on natural assets | ||||
Imputed interest | |||||
Dividends | |||||
Reinvested earnings | |||||
Rent on natural assets | |||||
Secondary income receivable | Secondary income payable | ||||
Social benefits receivable | Income tax payable | ||||
Workers' compensation | Other current taxes on income, wealth, etc. | ||||
Social assistance benefits | Social contributions for workers' compensation | ||||
Non-life insurance claims | Net non-life insurance premiums | ||||
Current transfers to non-profit institutions | Other current transfers | ||||
Other current transfers | Non-residents | ||||
Non-residents | Other sectors | ||||
Other sectors | |||||
Gross disposable income | |||||
Final consumption expenditure | |||||
Consumption of fixed capital | |||||
Net saving | |||||
Total gross income | Total use of gross income |
13.8 The general government income account shows receipts from income taxes, other taxes on income, wealth, etc., taxes on production and imports, property income (interest, dividends and rent on natural assets) and gross operating surplus (which is equal to consumption of fixed capital for the general government sector). The use of income side shows final consumption expenditure, property income payable to other sectors, subsidies, social assistance benefits and other current transfers to non-residents and other sectors, consumption of fixed capital and net saving (the balancing item).
13.9 The following table is a representation of the general government income account as presented in the ASNA. The subsectoral accounts for the National and State and Local government accounts are consistent with the general government income account.
Sources of income | Use of income | ||||
---|---|---|---|---|---|
Primary income receivable | Primary income payable | ||||
Gross operating surplus | Property income payable | ||||
Taxes on production and imports | Interest - On unfunded superannuation liabilities | ||||
Property income receivable | Interest - Other interest | ||||
Interest | Subsidies | ||||
Dividends - Public non-financial corporations | |||||
Dividends - Public financial corporations | |||||
Dividends - Other | |||||
Rent on natural assets | |||||
Secondary income receivable | Secondary income payable | ||||
Current taxes on income, wealth,etc | Social assistance benefits in cash to residents | ||||
Other current transfers | Other current transfers | ||||
Non-residents | |||||
Other sectors | |||||
Gross disposable Income | |||||
Final consumption expenditure | |||||
Consumption of fixed capital | |||||
Net saving | |||||
Total gross income | Total use of gross income |
13.10 In the core income accounts, social transfers in kind are technically part of government final consumption expenditure because they are produced and purchased by government. However, income redistribution also includes social transfers in kind, that is, social benefits in kind transferred from the government to households. For analytical purposes, it is useful to show the value of these transfers as part of household, rather than government, final consumption expenditure to form a broader aggregate called actual individual consumption. These are represented in the adjusted disposable income accounts as secondary income transfers from the government sector to the household sector with corresponding adjustments to the final consumption expenditures of the two sectors.
13.11 The following tables outline both the general government adjusted disposable income account and the household adjusted disposable income account as presented in the ASNA.
Sources of income | Use of income | |
---|---|---|
Gross disposable income | ||
Outlays in kind | Actual collective consumption | |
Social assistance benefits in kind | Consumption of fixed capital | |
Transfers of individual non-market goods and services | Net saving | |
Adjusted disposable income | Total saving and use of adjusted disposable income |
Sources of income | Use of income | |
---|---|---|
Gross disposable income | ||
Social transfers in kind | Actual individual consumption | |
Social assistance benefits in kind | Consumption of fixed capital | |
Transfers of individual non-market goods and services from general government | Net saving | |
Adjusted disposable income | Total saving and use of adjusted disposable income |
Additional components to compile income accounts
13.12 Income flows are divided into primary income and secondary income. Primary incomes are incomes that accrue to institutional units as a consequence of their involvement in processes of production or ownership of assets that may be needed for purposes of production. Therefore, primary income consists of the components used to derive production, namely compensation of employees, gross operating surplus, gross mixed income and taxes less subsidies on production and imports, as well as property income which accrues by lending or renting financial or natural resources, including land, to other units for use in production.
13.13 Secondary incomes are incomes that are redistributed between institutional units by means of payments and receipts of current transfers. A current transfer is a transaction in which one institutional unit provides a good or service to another unit without receiving from the latter any good or service directly in return as counterpart and does not oblige one or both parties to acquire, or dispose of, an asset.
13.14 In the adjusted disposable income accounts of the general government sector and the household sector, social transfers in kind are shown as part of household rather than government final consumption expenditure to represent actual individual consumption for analytical purposes.
13.15 Therefore, the additional components required to compile the income account are:
- property income;
- current taxes on income, wealth, etc.
- social contributions and social benefits;
- net non-life insurance premiums and non-life insurance claims;
- miscellaneous current transfers; and
- social transfers in kind.
Property income
Introduction
13.16 Property incomes are received by the owners of financial assets and non-produced non-financial assets such as land and mineral and energy resources. Property income accrues when an assets' owner puts the asset at the disposal of other institutional units. Units with surplus funds lend or provide equity finance to other units and derive property income in the form of interest, dividends, etc. Owners of land and mineral and energy resources arrange leases or other contracts with other units who pay rent to the owners. Regular payments made by lessees of mineral and energy resources are sometimes known as royalties but are treated as rents in the national accounts. A distinction is made between rent, which is a form of property income derived from non-produced assets, and rentals payable under operating leases relating to produced assets, including dwellings and other buildings. Under operating leases, rentals are treated as output of the lessor and purchase of a service by the lessee.
13.17 Property income is recorded net of intra-sector receipts and payments (i.e. property income flows within an institutional sector are not recorded because they cancel out on consolidation). While the household sector may be disaggregated into its business (unincorporated trading enterprises) and non-business subsectors, property income flows between these subsectors are considered intra-sector and are netted out. In relation to property income payments by the household sector, a distinction is drawn between consumer debt interest paid by households and interest on loans for business purposes paid by their unincorporated trading enterprises.
13.18 In the ASNA, property income is presented for the following categories: interest, property income attributed to insurance policyholders, dividends, rent on natural assets and reinvested earnings on direct foreign investment and investment funds.
Interest
13.19 Interest is receivable by the owners of financial assets such as deposits, loans, and securities other than shares. Interest is the amount that the debtor becomes liable to pay the creditor over a given period of time without reducing the amount of the principal outstanding. However, interest that accrues and is not paid may be added to the principal amount. In the system, the addition of outstanding interest to the principal constitutes a separate financing transaction. Under the accrual basis of recording used in the system, interest which, under the terms of the contract, does not have to be paid until the asset matures, nevertheless must be attributed to the accounting periods over which it accrues. Under a financial lease the lessor is treated as making a loan to the lessee. Interest on such loans is a component of the lease payments, which have to be broken down between interest and repayment of principal.
13.20 Banks and similar financial intermediaries largely finance their operations by charging higher interest rates on their loans than they pay out on deposits. In effect, the interest paid by borrowers, referred to in the 2008 SNA as 'bank interest', can be regarded as comprising two components, a service charge and a 'pure' interest flow. Likewise, the 'bank interest' paid to depositors can be viewed as a 'pure' interest flow from which a service charge has been deducted. The 2008 SNA refers to the pure interest as 'SNA interest’. As these service charges cannot be measured directly, the imputed charges are accordingly referred to as financial intermediation services indirectly measured (FISIM).
13.21 FISIM for a particular category of financial intermediaries is the sum of the imputed service charges for both borrowers and depositors. The service charge on borrowers is calculated as the level of loans outstanding multiplied by the difference between the average interest rate received on loans and a 'pure' interest rate. Similarly, the service charge on depositors is calculated as the level of deposits multiplied by the difference between the 'pure' interest rate and the average interest rate paid on deposits. The reference rate should contain no service element and reflect the risk and maturity structure of deposits and loans and could be determined as being equal to a particular market rate of interest. The ASNA uses the mid-point between the average interest rate on loans and the average interest rate on deposits (for practical reasons) as the reference rate of interest, and the long-term bond rate for institutions that are not deposit taking institutions.
13.22 FISIM output is estimated for the following financial intermediaries: banks, other depository corporations, central borrowing authorities and securitisers. The interest flows recorded in the sectoral income accounts are after adjusting the actual interest flows by FISIM relating to both borrowers and depositors. Consequently, interest paid by banks (and similar financial intermediaries) and received by depositors is increased by the amount of FISIM payable by depositors, while interest received by banks (and similar financial intermediaries) and paid by borrowers is reduced by the amount of FISIM payable by borrowers in each institutional sector (e.g. households, general government, non-financial corporations).
13.23 There are two schools of thought on the measurement of income flows on tradeable securities during times of changing interest rates. The debtor approach records the interest accruing at the contractual rate agreed at the time of issue of the security. The creditor approach records the interest accruing at the current market interest rate. Proponents of the debtor approach argue that it records the legal liability of the debtor to the creditor. Proponents of the creditor approach argue that it is consistent with the market valuation principle. The 2008 SNA recommends the debtor approach be applied for recording interest accruing on debt securities. However, the ABS believes that this approach leads to complications as interest rates may change after the date of issue of variable interest rate instruments. Therefore, the ASNA applies the creditor approach as the best reflection of the market reality in terms of valuing the underlying instrument and the interest that accrues over the life of the instrument.
Property income attributed to insurance policyholders
13.24 Property income flows also include imputed flows relating to life insurance, pension funds and non-life insurance operations. Three distinct categories of such flows are included in the sectoral income accounts:
13.25 Imputed interest from life insurance and pension funds to households is recorded as the current income earned by statutory funds on behalf of policyholders. This income mainly comprises interest (adjusted for FISIM) and dividend income earned by the funds, but it also includes net rental income earned on real property such as office buildings which are owned by the statutory funds (separately constituted long-service leave boards are also included with these funds). In effect, the net increase in policyholders' equity in the funds (excluding capital gains and losses) is regarded as being transferred from the funds to households and is also recorded as an imputed flow in the sectoral financial accounts from households back to the funds (recorded as Net equity of households in reserves under the category Insurance technical reserves).
13.26 Premium supplements are recorded as an imputed property income flow from non-life insurance corporations to policyholders. Premium supplements represent income earned on the technical reserves of non-life insurance corporations, which consist of unearned premiums (most premiums are paid for a full year in advance) and unpaid claims (which arise because of delays in finalising the payment of claims). Premium supplements do not include any income from the investment of insurance corporations' own funds. The interest component of the investment income is net of FISIM.
13.27 Imputed interest from the general government sector to households is recorded on account of the unfunded superannuation schemes operated by the general government sector.
13.28 In Australia, most governments operate, or used to operate, superannuation schemes that are unfunded or only partly funded for their employees. Some general government schemes have one component funded through direct employee contributions, and another (the employer's contributions) which is unfunded. Other general government schemes comprise only an unfunded employer component.
13.29 In the ASNA, the increase in the liabilities of a public sector employer due to the current services provided by employees covered by unfunded superannuation schemes must be imputed. Public sector accounting standards specify how such imputations should be calculated.
13.30 The value of these imputed contributions is estimated as the amount which the employer would be required to pay into a separate superannuation fund if the scheme were to be operated as a fully funded scheme. The general government employer does not transfer the imputed contributions into a separate superannuation fund, but instead effectively borrows this amount and should therefore pay property income on the outstanding liability of the unfunded scheme. Consequently, a further imputation is included in the income accounts of general government and households for imputed interest on the accruing liability to pay unfunded superannuation.
13.31 For the purposes of deriving the imputed flows on account of general government unfunded superannuation, a notional superannuation 'fund' is created which is treated as a financial asset of the household sector and a liability of the general government sector. Consistent with the operation of funded schemes, imputations are derived for both the employers' contributions to the notional fund and property income on the notional use of the assets of the fund in each period by general government. Only the imputed employers' contributions are included in compensation of employees, government final consumption expenditure and GDP. Both components, however, impact on household and general government saving. This approach ensures that government final consumption expenditure and GDP are not affected by whether general government superannuation schemes are funded or unfunded. The outstanding liability in relation to unfunded superannuation schemes is recorded as a liability in the general government balance sheet and as an asset in the household balance sheet.
Dividends
13.32 Corporations raise equity capital through the issue of shares, and shareholders become entitled to dividends as a form of property income for having placed funds at the disposal of the corporations. Dividends include all distributions of profits by corporations, whether or not the distributions are called dividends. Issues of bonus shares in lieu of dividends are not included. In the ASNA, dividends are not recorded on a strict accrual basis, with the time of recording dividends being the point at which the share price starts to be quoted on an ex-dividend basis (rather than at a price that includes the dividend). Super dividends occur when the dividends are disproportionally large relative to the recent level of dividends and earnings. They are treated as a financial transaction, specifically the withdrawal of owners' equity from the corporation.
13.33 Dividends payable to general government by public corporations (or quasi-corporations) record that part of the income of public corporations which is paid to general government, whether described by the corporations (or quasi-corporations) as dividends or transfers of profits. Income tax and other forms of taxation are excluded.
13.34 The sectors and subsectors total dividend payable and receivable estimates are used to derive a dividend matrix of the flows of dividends between the various sectors and subsectors of the economy, including the external sector. Rest of the world, general government and public non-financial corporation dividend flows are allocated to their counterparty sector based on annual ratios. The quarterly sectoral estimates are then aggregated up to determine total dividends received and paid by each of the domestic sectors.
13.35 Dividends paid by financial corporations and private non-financial corporations are benchmarked to the annual estimate using data from APRA and ASX100 financial reports. Dividends paid by private non-financial corporations and financial corporations, and dividends received by private non-financial corporations, households and financial corporations are then calculated as the sum of their lower level counterparty information. This matrix represents a balanced system so that total payments equal total receipts and therefore there is no quarterly imbalance.
Withdrawals from income of quasi-corporations
13.36 Quasi-corporations are unincorporated enterprises that behave as if they were corporations. Quasi-corporations cannot distribute profits by way of dividends because they are not corporations. Nevertheless, the owner of a quasi-corporation may choose to withdraw some or all of the entrepreneurial income of the quasi-corporation. Such withdrawals are the conceptual equivalent of dividends and are distinguished in order to separate the income of the quasi-corporation from the income of the owner.
13.37 Because quasi-corporations must, by definition, keep a full set of accounts, withdrawals of income should be explicitly identified in the accounts. Such withdrawals must be distinguished from withdrawals of funds realised as a result of the disposal of assets, which constitute capital disposal by the quasi-corporation and withdrawal of equity (a financing transaction) by the owner. Withdrawals financed by liquidating large amounts of accumulated retained earnings are treated in the same manner. Conversely, funds provided by the owner so that the quasi-corporation can acquire assets or reduce liabilities are treated as equity injections – there is no concept of negative withdrawals of income.
Reinvested earnings
13.38 Reinvested earnings relate to that component of income that is not distributed to equity and or unit holders in direct foreign investment enterprises, and resident and non-resident investment funds in the form of dividends. In effect, retained earnings are treated as if they are distributed and remitted to investors in proportion to their ownership of the equity in the enterprise or fund and then reinvested by them. They are imputed transactions, with offsetting entries being recorded in property income flows in the income account and the 'shares and other equity' items in the financial account.
Reinvested earnings on direct foreign investment
13.39 A foreign direct investment enterprise is either a branch (including unincorporated joint ventures) of a non-resident enterprise or an enterprise, either corporate or unincorporated, in which at least one foreign investor owns sufficient shares to have an effective voice in the decision making processes of the enterprise. In these cases, an amount of the enterprise's retained earnings, proportional to the ownership of the foreign direct investor, is imputed as a remittance of property income to the foreign direct investor, even though the remittance does not take place in practice. An equal amount (with opposite sign) is shown as reinvestment of retained earnings, a financing transaction. This treatment is adopted because it is considered that direct investors, through their significant influence on the operations of the direct investment enterprise, are able to determine the level of distributed income and therefore the reinvested earnings of the direct investment enterprise.
13.40 Reinvested earnings on direct foreign investment are measured on the basis of the direct investors' equity share in the gross operating surplus, transfer income and other current income of the direct investment enterprise. Gross operating surplus represents income from the normal operations of the enterprise and does not include holding gains or losses. Earnings of direct investment enterprises are measured after deducting a provision for corporate taxes and consumption of fixed capital.
Reinvested earnings on resident and non-resident investment funds
13.41 Investment income attributed to holders of shares or units in investment funds is shown as two separate items. The first of these is the dividends distributed to investment fund shareholders. The second is retained earnings attributed to investment fund shareholders. These earnings are attributed to the investors as an imputed dividend payment and an imputed purchase of additional equity (reinvestment). This treatment adds to the fund's equity and its liabilities to the unit holders and leaves the investment fund with no saving and increases the saving of the investor. This treatment is adopted for investment funds on the grounds that investors are able to withdraw and reinvest their equity in the investment funds.
Rent on natural assets
13.42 Rent is the income receivable by the owner of a natural resource (the lessor or landlord) for putting the natural resource at the disposal of another institutional unit (a lessee or tenant) for use of the natural resource in production. The resource rent is applicable for rents on land, native standing timber and mineral and energy resources. Note there is a distinction between rent and the rentals receivable and payable under an operational lease. The latter are treated as sales or purchases of services whereas the former is property income.
13.43 Rent on land is recorded as accruing continuously to the landowner throughout the period of the contract between the landowner and tenant and is equal to the value of the accumulated rent payable over that period of time. The owners of mineral and energy resources, whether private or government units, grant leases to other institutional units permitting them to extract deposits over a specified period of time in return for the payment of rent. These payments are commonly referred to as royalties.
Sources and methods - Annual
13.44 Property income estimates are derived by constructing matrices of the flows of property income between the various sectors and subsectors of the economy, including the external sector. The matrices represent a balanced system so that total payments of property income equal total receipts of property income. The interest and dividends matrices are by far the largest and include each of the broad types of financial institutions as well as the non-financial sectors of the economy. The matrices relating to land rent and rent on other natural assets are compiled at the institutional sector level only.
13.45 The tables below outline the data sources and methods used in the estimation of annual property income by type of property income in current prices.
Item | Comment |
---|---|
Interest and dividends | |
|
Balance sheet, income and expenditure and interest rate information are used to compile interest and dividend flows by financial instruments (deposits, bills of exchange, one-name paper, bonds, loans and equities) and the counterparty sectoral and subsectoral flows for the following 15 sectors and subsectors: rest of the world; the central bank; banks; other depository corporations; central borrowing authorities; non-life insurance corporations; national general government; state and local general government; national public non-financial corporations; state and local public non-financial corporations; life insurance corporations; pension fund; financial intermediaries not elsewhere classified; private non-financial corporations; and households. The following outlines the data sources used to estimate the various components of interest and dividends: Balance sheets:
Income and expenditure:
Interest rates and dividend yields
Three data sources are required to compile the flows:
The sectors' and subsectors' total interest and dividend payable and receivable estimates are used to derive interest and dividend matrices of the flows of interest and dividends between the various sectors and subsectors. The matrices represent a balanced system so that total payments of interest and dividends equal total receipts of interest and dividends.
Wherever possible, actual interest or dividends flows are used to construct the interest and dividend matrix. Indirect estimation methods are used to complete the full matrix because there is insufficient data on flows by instrument and counterparty. For example, average interest rates (or dividend yields) are applied to sectoral balance sheet information to derive the detailed estimates of flows by instrument and counterparty. These estimates are either used as a direct estimate of a flow or are used as a basis for splitting the total flows to the detail required. Total flows are either estimated directly from source data or are derived by aggregation. The interest flows relating to loans and deposits are adjusted to allow for FISIM. Interest flows from borrowers to financial intermediaries are reduced by FISIM, while interest flows from financial intermediaries to depositors are increased by FISIM. Adjustments are also made to put interest on debt securities onto an accrual basis for all sectors, except the external sector. This is achieved by replacing estimates of nominal interest flows for debt securities for a particular sector by an accrual estimate obtained by applying the current market rate of interest for debt securities to the average balance sheet level of debt securities for that sector. Accrued interest on debt securities for transactions with the external sector are sourced directly from the Balance of Payments and, consequently, do not require any adjustment before they are included in the interest matrix. |
Item | Comment | |
---|---|---|
Life insurance and pension funds | ||
Imputed property income attributable to life insurance and pension fund policyholders is calculated as: Gross operating surplus | ||
Gross operating surplus | ||
From the annual benchmarks and latest year estimates for GOS for life insurance corporations and pension funds. The GOS estimate includes rental income earned on real property such as office buildings which are owned by the life insurance statutory funds and pension funds. | ||
Interest and dividends receivable and payable | ||
Estimates are derived from the interest and dividends matrices. Estimates for interest are adjusted for FISIM. FISIM is added to the total interest received (from deposits) and deducted from interest paid (on loans). Pension funds do not pay dividends. | ||
Taxes payable | ||
Estimates for taxes payable are sourced from Government Finance Statistics. | ||
Consumption of fixed capital | ||
Estimates for consumption of fixed capital are obtained from the Perpetual Inventory Method (PIM). | ||
Income to shareholders | ||
The proportion of shareholders' funds to total assets (from the Life Insurance balance sheet from the ABS publication, Australian National Accounts: Finance and Wealth is applied to total income to derive an estimate of shareholders' income. Pension funds do not have shareholders. | ||
Non-life insurance corporations | ||
Imputed property income attributable to non-life insurance and pension fund policyholders is equal to:
Premium supplements are calculated as the proportion of policyholders funds to total assets of non-life insurance corporations (from the APRA's Quarterly General Insurance Performance Statistics and General Insurance Supplementary Statistical Tables) which is applied to total income to derive premium supplements. Total non-life insurance investment income is derived from the interest and dividend matrices (the interest share of investment income is net of FISIM). | ||
Unfunded superannuation fund | ||
Data up to 1997-98 for imputed employer contributions and imputed property income flows are modelled based on estimates of unfunded employee entitlements from the ABS publication, Government Financial Estimates, Australia, and implicit employer contribution rates provided by the Australian Government Actuary (AGA). Both of these sources provide data which are derived from actuarial calculations. The model is applied to annual data. Quarterly estimates for the imputed employer contributions and imputed property income flows are derived using appropriate indicators. With the introduction of accrual accounting in the Commonwealth and state general government sectors direct estimates of both the imputed employer contributions to unfunded superannuation and the imputed interest on the outstanding liability are now being compiled by the Commonwealth, state and Territory Treasuries. From 1998–99, these direct estimates are generally used, although some adjustments are required to the estimates for some states to ensure that the estimates for all jurisdictions are on as comparable a basis as possible. |
Item |
Comment |
---|---|
Reinvested earnings on direct foreign investment and non-resident investment funds | |
|
Estimates for reinvested earnings for foreign direct investment and non-resident investment funds are sourced from the quarterly Survey of International Investment. The survey provides data on reinvested earnings on direct foreign investment, both payable to non-residents and receivable from non-residents. For investment funds, direct data and some modelled estimates are used to estimate amounts payable to non-residents and receivable from non-residents. |
Reinvested earnings resident investment funds | |
|
Balance sheet and income and expenditure data are used to compile reinvested earnings for the following resident investment funds, non-financial investment funds (Infrastructure funds, listed and unlisted property trusts), money market financial investment funds (cash common funds and cash management trusts) and non-money market financial investment funds (unlisted mortgage trusts, listed invested companies, wholesale trusts, non-cash common funds and other trusts). Reinvested earnings of these funds are allocated to financial corporations, private non-financial corporations and household sectors. The following outlines the data sources used to estimate the various components of reinvested earnings: Balance sheets:
Income and expenditure:
Reported income and expense data from surveys and annual reports are used to derive reinvested earnings for the domestic investment funds as: Total Income The reinvested earnings of the domestic investments funds are allocated to domestic reinvested earnings receivable using quarterly sectoral asset holders of the equity issued by the investment funds from the ABS publication, Australian National Accounts: Finance and Wealth. The compilation process for reinvested earnings described above produces quarterly estimates, and the sum of the four quarters is used as the annual estimate. |
Item |
Comment |
---|---|
Rent on natural resources | |
|
Rent on natural assets is mainly paid by corporations and unincorporated enterprises, and received by general government, public corporations and persons. Major data sources used are the government administrative records used to compile Government Finance Statistics and are used directly where data is available. Some modelled estimates are used to estimate rent on natural assets received by households. Total rent on natural assets is compiled as the sum of rent on land and royalties on natural assets for each sector. Rent on land paid by households is derived as a residual using the following calculation: Rent on land received by general government Royalties on natural assets paid by private non-financial corporations is derived as a residual using the following calculation: Royalties on natural assets paid by non-financial corporations |
Sources and methods - Quarterly
13.46 On a quarterly basis, property income estimates are compiled for each sector, including private and public non-financial corporations. The external account is compiled using Balance of Payments statistics.
13.47 The tables below outline the data sources and methods used in the estimation of quarterly property income by sector by type of property income in current prices.
Item | Comment | |
---|---|---|
Public sector | ||
Quarterly indicators for public sector interest series are sourced from Government Finance Statistics. Data are derived from administrative sources such as the Commonwealth Department of Finance, state government financial statements, and quarterly surveys of local government authorities and public non-financial corporations. Public financial corporations are surveyed on an annual basis only. These quarterly estimates are used as indicators to produce interest series for general government and public non-financial corporations by applying a benchmarking process to the corresponding annual series. | ||
Private sector | ||
Quarterly indicators for private sector interest series are based on quarterly banks, other depository corporations and securitisers data and banks' FISIM. Banks are the biggest contributor to interest flows and FISIM out of all the financial intermediaries in Australia. Using indicators based on bank data is considered to produce a good representative estimate for quarterly household interest. Quarterly balance sheets, income and expenditure and interest rate information are used to compile interest flows for banks, other depository corporations and securitisers by financial instruments (deposits, bills of exchange, one-name paper, bonds and loans) and by all counterparty sectoral and subsectoral flows. The estimates are compiled using bank balance sheets (Australian National Accounts: Finance and Wealth and monthly RBA Statistical Bulletin); detailed loans and deposits data (APRA forms from the monthly bank Statement of Financial Position); income and expenditure (suite of APRA forms from the quarterly Statement of Financial Performance – banks and APRA publications, Quarterly Banks, Building Societies and Credit Unions Performance Statistics) and indicator interest rates (monthly RBA Statistical Bulletin). | ||
Households | ||
Household interest receivable is calculated as: | ||
Bank interest payable on deposits to persons, unincorporated enterprises and NPISHs plus other depository corporations interest payable to households equals interest received by households indicator equals household interest receivable before adjusting for FISIM (the interest receivable by households indicator series is used to derive the quarterly household interest receivable before adjusting for FISIM series by applying a benchmarking process to the annual interest receivable by households) plus FISIM for household final consumption expenditure on deposits (the bank FISIM for household final consumption expenditure on deposits indicator series is used to derive the quarterly series by applying a benchmarking process to the annual series for household final consumption expenditure FISIM on deposits). | ||
Household interest payable on dwellings is calculated as: | ||
Bank interest receivable from housing plus other depository corporations interest receivable on housing plus securitisers interest receivable on housing equals interest payable on dwellings indicator equals interest payable on dwellings before adjusting for FISIM (the interest payable on dwellings indicator series is used to derive the quarterly interest payable on dwellings before adjusting for FISIM series by applying a benchmarking process to the annual interest payable on dwellings series) minus FISIM for intermediate use for dwellings (the bank FISIM for intermediate use for dwellings indicator series is used to derive the quarterly series by applying a benchmarking process to the annual series for dwelling FISIM). | ||
Household interest payable on consumer debt is calculated as: | ||
Bank interest receivable from personal loans (consumer credit) plus other depository corporations interest receivable on personal loans equals interest payable on consumer debt equals interest payable on consumer debt before adjusting for FISIM (the interest payable on consumer debt indicator series is used to derive the quarterly interest payable on consumer debt before adjusting for FISIM series by applying a benchmarking process to the annual interest payable on consumer debt series) minus FISIM for household final consumption expenditure on loans (the bank FISIM for household final consumption expenditure on loans indicator series is used to derive the quarterly series by applying a benchmarking process to the annual series for household final consumption expenditure FISIM on loans). | ||
Unincorporated enterprises interest payable is calculated as: | ||
Bank interest receivable on unincorporated enterprises loans plus other depository corporations interest receivable on unincorporated enterprises loans equals interest payable by unincorporated enterprises indicator equals interest payable by unincorporated enterprises before adjusting for FISIM (the interest payable by unincorporated enterprises indicator series is used to derive the quarterly interest payable by unincorporated enterprises before adjusting for FISIM series by applying a benchmarking process to the annual interest payable by unincorporated enterprises series) minus FISIM for intermediate use for unincorporated enterprises (the bank FISIM for intermediate use for unincorporated enterprises indicator series is used to derive the quarterly series by applying a benchmarking process to the annual series for intermediate use unincorporated enterprises FISIM on loans). | ||
Private non-financial corporations | ||
Private non-financial corporations interest receivable is calculated as: | ||
Bank interest receivable on private non-financial corporations loans and placements minus FISIM for intermediate use for private non-financial corporations plus Bank interest receivable on private non-financial corporations bills of exchange plus interest receivable by Rest of the world (sourced directly from Balance of Payments statistics) equals interest payable by private non-financial corporations indicator (the interest payable by private non-financial corporations indicator series is used to derive the quarterly interest payable by private non-financial corporations series by applying a benchmarking process to the annual interest payable by private non-financial corporations series). | ||
Private non-financial corporations interest payable is calculated as: | ||
Bank interest receivable on private non-financial corporations loans and placements minus FISIM for intermediate use for private non-financial corporations plus Bank interest receivable on private non-financial corporations bills of exchange plus interest receivable by Rest of the world (sourced directly from Balance of Payments statistics) equals interest payable by private non-financial corporations indicator (the interest payable by private non-financial corporations indicator series is used to derive the quarterly interest payable by private non-financial corporations series by applying a benchmarking process to the annual interest payable by private non-financial corporations series). | ||
Financial corporations | ||
Financial corporations interest receivable is calculated as: | ||
Bank interest receivable on resident loans and placements plus FISIM for intermediate use for financial corporations equals interest receivable by financial corporations indicator (the interest receivable by financial corporations indicator series is used to derive the quarterly interest receivable by financial corporations series by applying a benchmarking process to the annual interest receivable by financial corporations series). | ||
Financial corporations interest payable is calculated as: | ||
Bank interest payable on resident currency and deposits minus FISIM for intermediate use for financial corporations equals interest payable by financial corporations indicator (the interest payable by financial corporations indicator series is used to derive the quarterly interest payable by financial corporations series by applying a benchmarking process to the annual interest payable by financial corporations series). | ||
Rest of the world | ||
Quarterly estimates of rest of the world interest series are sourced directly from Balance of Payments Statistics. There exists a small quarterly imbalance between the rest of the world and the domestic sectors interest flows as they are derived with a number of different data sources. This imbalance is balanced off in financial corporations interest receivable as it is the largest interest series, and where the imbalance has the smallest impact. |
Item | Comment |
---|---|
Public sector | |
| Quarterly dividends series are calculated using a matrix-based approach. There is no quarterly imbalance as quarterly dividends are calculated on a "from-whom-to-whom" basis, and then aggregated to determine total dividends received and paid for each sector. Quarterly indicators for public sector dividends received and paid series are sourced from Government Finance Statistics. Data are derived from administrative sources such as the Commonwealth Department of Finance, state government financial statements, and quarterly surveys of local government authorities and public non-financial corporations. Public financial corporations are surveyed on an annual basis only. These quarterly estimates are used as indicators to produce dividend series for general government and public corporations (financial and non-financial) by applying a benchmarking process to the corresponding annual series. They are allocated to their private sector received counterparties based on annual proportions. |
Private sector | |
Quarterly estimates for private sector dividends paid series are based on dividends paid by banks and private non-financial corporations. Quarterly indicators of dividends paid by banks are sourced from the APRA Quarterly Bank Statement of Financial Performance. Quarterly indicators of dividends paid by private non-financial corporations are sourced from the ASX Top 100 financial reports. These quarterly estimates are used as indicators to produce dividends paid series for financial corporations and private non-financial corporations by applying a benchmarking process to the corresponding annual series. They are allocated to their private sector received counterparties based on annual proportions. | |
Rest of the world | |
Quarterly estimates of Rest of the world dividend received and paid series are sourced directly from Balance of Payments Statistics. They are allocated to their domestic sector counterparties based on annual proportions. |
Item | Comment |
---|---|
Property income attributed to insurance policyholders | |
Quarterly estimates of property income attributed to insurance policyholders for life insurance corporations, pension funds and non-life insurance corporations are compiled by applying a linear trend formula to the annual estimates. Quarterly estimates of rest of the world property income attributed to insurance policy holders series are sourced directly from Balance of Payments statistics. There exists a small quarterly imbalance between the rest of the world and the domestic sectors property income attributed to insurance policyholders flows as they are derived separately. This imbalance is balanced off in financial corporations property income attributed to insurance policyholders payable as it is the largest property income attributed to insurance policyholders series, and where the imbalance has the smallest impact. | |
Property income attributed to insurance policyholders – imputed interest on unfunded superannuation | |
Quarterly indicators for imputed interest on unfunded superannuation series are sourced from Government Finance Statistics. Data are derived from administrative sources such as the Commonwealth Department of Finance, state government financial statements, and quarterly surveys of local government authorities. These quarterly estimates are used as indicators to produce imputed interest on unfunded superannuation series for general government and households by applying a benchmarking process to the corresponding annual series. There is no quarterly imbalance as quarterly imputed interest on unfunded superannuation is calculated on a "from-whom-to-whom" basis. The two series above are then summed to produce the quarterly series for property income attributed to insurance policyholders. |
Item | Comment |
---|---|
Reinvested earnings in direct foreign investment and non-resident investment funds | |
|
Estimates for reinvested earnings for foreign direct investment and non-resident investment funds are sourced from the quarterly Survey of International Investment. The survey provides data on reinvested earnings on direct foreign investment, both payable to non-residents and receivable from non-residents. For investment funds, direct data and some modelled estimates are used to estimate amounts payable to non-residents and receivable from non-residents. |
Reinvested earnings in resident investment funds | |
Balance sheet data from Australian National Accounts: Finance and Wealth and income and expenditure data from the quarterly Survey of Financial Information, ASX market capitalisation data, superannuation actuarial and annual reports are used to compile reinvested earnings for the following resident investment funds:
Reported income and expense data are used to derive reinvested earnings for the domestic investment funds as: Total income The reinvested earnings of the domestic investment funds are then allocated to financial corporations, private non-financial corporations and household reinvested earnings receivable using quarterly sectoral asset holders of the equity issued by the investment funds from the ABS publication, Australian National Accounts: Finance and Wealth. There is no quarterly imbalance as quarterly reinvested earnings is calculated on a "from-whom-to-whom" basis. |
Item | Comment |
---|---|
Rent on natural assets | |
Quarterly indicators for public sector rent on natural assets series are sourced from Government Finance Statistics. Data are derived from administrative sources such as the Commonwealth Department of Finance, state government financial statements, and quarterly surveys of local government authorities and public non-financial corporations. These quarterly estimates are used as indicators to produce rent on natural assets series for general government and public non-financial corporations by applying a benchmarking process to the corresponding annual series. Quarterly estimates of rent on natural assets received by households are compiled by applying a linear trend formula to the annual household rent estimates. Rent on natural assets paid by households and private non-financial corporations is derived as a residual using the following calculation: Rent on natural assets received by general government Quarterly rent on natural assets paid by households and private non-financial corporations is then allocated to both sectors based on the annual contribution of rent on natural assets paid by households and private non-financial corporations to the sum of both sectors There is no quarterly imbalance as quarterly rent on natural assets paid by households and private non-financial corporations is derived as a residual. |
Current taxes on income, wealth, etc.
Introduction
13.48 Taxes are compulsory, unrequited payments, in cash or in kind made by institutional units to general government units. They are transfers as the government provides nothing directly in return to the individual unit paying the tax. There are two components to current taxes on income, wealth, etc.: namely:
- income taxes; and
- other current taxes on income, wealth, etc.
13.49 These taxes are part of secondary income receivable by the general government sector and are a component of secondary income payable by other sectors.
Income taxes
13.50 Income tax consists of taxes on the income of households, corporations and non-residents, and taxes on wealth which are levied regularly (wealth taxes which are levied irregularly are classified as capital taxes and are recorded in the sectoral capital accounts).
13.51 Income tax payable by both non-financial corporations and financial corporations is recorded on an accrual basis. Their income tax payable is directly related to the financial year in which the income that gave rise to the tax liability was earned. Income taxes payable by corporations include taxes on profits, the resources rent tax and income tax on the earnings of superannuation funds.
13.52 While it could be argued that income tax payable by the household sector should be recorded on a similar basis, no accrual adjustments are currently made to the estimates for income tax paid by households which are recorded in Government Finance Statistics. This treatment was adopted on the basis that it is the actual payments by households which affect household spending decisions and disposable income in the current period.
13.53 The Medicare levy is treated as an integral part of income tax payable by the household sector.
13.54 Capital gains taxes payable by households or corporations are recorded in the period in which they become payable, irrespective of the periods over which the gains have been accrued. Capital gains taxes are included as part of income taxes in the sectoral income accounts.
13.55 Income taxes payable by non-residents comprise withholding taxes levied on their Australian income (dividends, interest etc.). Inheritance and gift taxes are excluded because they are classified as capital transfers.
Other current taxes on income, wealth, etc.
13.56 Other current taxes on income, wealth, etc. consists of payments by households to obtain licences to own or use vehicles, boats or aircraft, and for licences to hunt, shoot or fish. Other current taxes on income, wealth, etc. also consists of other current taxes including current taxes on land and buildings, current taxes on net wealth, current taxes on other assets and other miscellaneous current taxes, excluding those used in production. From 2015-16, Visa Application Charges (VAC) are included in other current taxes on income, wealth, etc. when paid by a household or non-resident. Prior to 2015-16, VAC is considered to be a sale of non-market output by the government and is not a tax.
13.57 Payments for all other kinds of licences, such as driving or pilot's licences, television or radio licences, firearms licences, and fees paid to government (payments for passports, airport fees, court fees, etc.) are treated as purchases of services rendered by general government to households. Such payments are included in household final consumption expenditure and are deducted from total general government current expenditure when deriving estimates for government final consumption expenditure from government output.
Sources and methods - Annual
13.58 The tables below outline the data sources and methods used in the estimation of annual current taxes on income, wealth, etc. by type of tax and subsequently by institutional sector in current prices.
Item | Comment | |
---|---|---|
Individuals | ||
Description | ||
Income tax for individuals includes income tax, fringe benefits tax and tax payable on superannuation contributions. | ||
Household sector | ||
There are three components to estimating annual current taxes on income, wealth, etc. for the household sector:
These are summed to obtain total income tax for the household sector. | ||
Resident corporations | ||
Description | ||
Income tax for resident corporations includes income tax, petroleum resource rent tax, tax paid on capital gains and tax on income earned by superannuation funds. Mineral resource rent taxes were also payable from 1 July 2012 to 30 Sep 2014. | ||
Total resident corporations | ||
| ||
Financial corporations | ||
Income tax for financial corporations is obtained by using income tax payable by the finance and insurance services industry available from data provided by the ATO for all years except the current year t and year t-1. Estimates for these years are obtained by using movements in income tax payable by total resident corporations as an indicator to move forward this estimate. These amounts are then added to the annual estimate for tax on income and capital gains payable by superannuation funds. This total forms the estimate for financial corporations. | ||
Public non-financial corporations | ||
Income tax for public non-financial corporations is sourced from Government Finance Statistics. Data are derived from administrative sources such as the Commonwealth Department of Finance, state government financial statements and quarterly surveys of public non-financial corporations. | ||
Private non-financial corporations | ||
Income tax for private non-financial corporations is derived by deducting income tax payable by financial corporations and public non-financial corporations from income tax payable for total resident corporations. | ||
Non-resident corporations | ||
Income tax payable by non-resident corporations is obtained using survey and administrative data from Balance of Payments statistics. This series includes withholding taxes on dividends and interest. |
Item | Comment |
---|---|
Description | |
|
Other current taxes on income, wealth, etc. paid to general government includes payments by households to obtain licences to own or use vehicles, boats or aircraft, and for licences to hunt, shoot or fish. Similar taxes paid by business enterprises are treated as taxes on production. Other current taxes on income, wealth, etc. also consists of other current taxes including current taxes on land and buildings, current taxes on net wealth, current taxes on other assets and other miscellaneous current taxes, excluding those used in production |
Household sector | |
|
Estimates for the household sector are obtained from Government Finance Statistics which are based on administrative data provided by the State Treasuries. Relevant taxes need to be allocated to households as consumers and business enterprises. The part payable by business enterprises is treated as taxes on production and the part payable by households as consumers is recorded as other current taxes on income, wealth, etc. |
Sources and methods - Quarterly
13.59 The tables below outline the data sources and methods used in the estimation of quarterly current taxes on income, wealth, etc. by type of tax and subsequently by institutional sector in current prices.
Item | Comment |
---|---|
Current taxes on income, wealth, etc. – Income tax – Individuals | |
Income tax for individuals includes income tax, fringe benefits tax (FBT) and tax payable on superannuation contributions.
These are summed to obtain total quarterly income tax for individuals for the general government and household sectors. |
|
Current taxes on income, wealth, etc. – Income tax – Resident corporations | |
Income tax for resident corporations includes income tax, tax paid on capital gains and tax on income earned by superannuation funds. Mineral resource rent taxes were also payable from 1 July 2012 to 30 Sep 2014. Petroleum resource rent tax has been payable from 1 July 1990. Quarterly indicators for income tax for resident private non-financial corporations are sourced from the Quarterly Business Indicators Survey. Gross operating profits are used as a quarterly indicator to produce income tax paid by resident private non-financial corporations by applying a benchmarking process to the corresponding annual series. Quarterly indicators for income tax for resident financial corporations are sourced from APRA. Profits are used as the quarterly indicator to produce income tax for resident financial corporations by applying a benchmarking process to the corresponding annual series from 1 July 2002 onwards. Prior to this, income tax for resident financial corporations is derived as a residual using the following calculation: Income tax paid by resident corporations Quarterly estimates of income tax paid by public non-financial corporations are obtained from Government Finance Statistics. Data are sourced from a quarterly survey of public non-financial corporations. These quarterly estimates are used as indicators to produce income tax for resident public non-financial corporations by applying a benchmarking process to the corresponding annual series. Income tax received by general government from resident corporations is derived using the following calculation: Income tax paid by public non-financial corporations |
|
Current taxes on income, wealth, etc. – Income tax – Non-resident corporations | |
Income taxes for non-resident corporations are obtained using data from Balance of Payments statistics. This series includes withholding taxes on dividends and interest. | |
Current taxes on income, wealth, etc. – Other | |
Other current taxes on income, wealth, etc. paid to non-residents are sourced directly from Balance of Payments statistics. Other current taxes on income, wealth, etc. paid to general government includes payments by households to obtain licences to own or use vehicles, boats or aircraft, and for licences to hunt, shoot or fish. Data on other current taxes on income, wealth, etc. are obtained from Government Finance Statistics. They are derived from administrative sources such as the Commonwealth Department of Finance and State government financial statements. These quarterly estimates are used as indicators to produce other current taxes on income, wealth, etc. received by general government from households by applying a benchmarking process to the corresponding annual series. There is no quarterly imbalance as quarterly current taxes on income, wealth, etc. are calculated on a "from-whom-to-whom" basis, or have a residual. |
Social contributions and social benefits
Introduction
13.60 Social benefits are current transfers receivable by households to provide for needs that arise from certain events or circumstances such as sickness, unemployment, retirement, housing, education or family circumstances. There are two kinds of social benefits included in ASNA; namely:
- social insurance benefits (in the ASNA, only workers' compensation is recorded here); and
- social assistance benefits.
13.61 The former are provided by social insurance schemes operated by financial institutions or by employers on behalf of their employees. Social insurance schemes pay benefits from accumulated social contributions, which are paid into the schemes by employers on behalf of employees, or directly by the employees. Social assistance benefits are paid by governments from general revenue and are not paid from social contributions. Social insurance benefits and social assistance benefits are part of the gross secondary income of households.
Social insurance benefits - workers' compensation
13.62 The only relevant social insurance scheme in the Australian context relates to workers' compensation. Households make social contributions for workers' compensation and receive social benefits from claiming for workers’ compensation. Households are regarded as receiving workers' compensation premiums as part of the employer social contributions component of compensation of employees, making social contributions for workers' compensation and consequently receiving social benefits from workers' compensation. All of these flows related to workers' compensation are recorded in the household income account. The workers' compensation premiums which are included in employers' social contributions include direct workers' compensation premiums payable and the direct cost of workers' compensation to employers who are permitted to self-insure.
Social assistance benefits
13.63 Social assistance benefits are paid by general government from general revenue and are not financed from social contributions. Social assistance benefits (in cash to residents) include age pensions, family and child benefits, sickness and unemployment benefits, benefits to ex-service persons and their dependants, and government scholarships.
Sources and methods - Annual
13.64 The tables below outline the data sources and methods used in the estimation of annual social contributions and social assistance in current prices.
Item | Comment |
---|---|
Social insurance contributions – workers’ compensation | |
|
Social insurance contributions for workers compensation net premiums is calculated as: Workers' compensation premiums where ISC = premiums +premium supplements - expected claims. It follows that Social contributions for workers' compensation net premiums equals Workers' compensation expected claims. (See Table 13.15 Annual secondary income- Net non-life insurance premiums and non-life insurance claims for methodology and data sources.) |
Social benefits receivable – workers’ compensation | |
|
Social benefits receivable – workers' compensation is equal to actual claims. The compilation methodology for sectoral ISC requires sectoral actual claims estimates. (See Table 13.15 Annual secondary income- Net non-life insurance premiums and non-life insurance claims for methodology and data sources.) |
Social assistance benefits | |
Annual estimates of social assistance benefits are sourced from Government Finance Statistics. Data are derived from administrative sources such as the Commonwealth Department of Finance and State government financial statements. |
Sources and methods - Quarterly
13.65 The table below outlines the data sources and methods used in the estimation of quarterly social contributions and social assistance in current prices.
Item | Comment |
---|---|
Social contributions and social benefits – Workers' compensation | |
Quarterly estimates of social contributions for workers' compensation and social benefits from workers' compensation are compiled by applying a linear trend formula to the annual estimates. | |
Social contributions and social benefits – social assistance benefits | |
Quarterly estimates of social assistance benefits are sourced from Government Finance Statistics. Data are derived from administrative sources such as the Commonwealth Department of Finance and State government financial statements. These quarterly estimates are used as indicators to produce social assistance benefits paid by general government to households by applying a benchmarking process to the corresponding annual series. There is no quarterly imbalance as quarterly social contributions and social benefits are calculated on a "from-whom-to-whom" basis. |
Net non-life insurance premiums and non-life insurance claims
Introduction
13.66 The premiums charged by non-life insurance corporations can be regarded as comprising two components:
- an implicit service charge; and
- a transfer payment to cover the risk of providing insurance cover.
13.67 The non-life insurance service charge is defined as premiums earned plus premium supplements less expected claims. Premium supplements represent income earned on the technical reserves of non-life insurance corporations, which consist of unearned premiums (most premiums are paid for a full year in advance) and unpaid claims (which arise because of delays in finalising the payment of claims). Premium supplements do not include any income from the investment of insurance corporations' own funds. The interest share of investment income is net of FISIM. Expected claims are generally defined as a centred five year moving average of claims incurred. To estimate expected claims it is necessary to forecast claims incurred for year t+1 and year t+2. A moving average is used to avoid irregular movements in the non-life insurance service charge which would otherwise arise because of volatility in the annual data for claims incurred.
13.68 Net non-life insurance premiums are defined as non-life insurance premiums and premium supplements less the non-life insurance service charge. This flow is regarded as a transfer payment from institutional sectors which use the services provided by non-life insurance corporations and is recorded as a use of income in the sectoral income accounts and a receipt of income for non-life insurance corporations in the financial corporations income account. Non-life insurance claims are the claims incurred in the current accounting period and are recorded in the sectoral income accounts as transfers from non-life insurance corporations to other institutional sectors.
13.69 Health insurance funds are treated as part of the non-life insurance subsector, and consequently net health insurance premiums and claims are included, respectively, as part of net non-life insurance premiums and non-life insurance claims. Workers' compensation schemes may be conducted either by specialist financial corporations whose only business is workers' compensation, or by non-life insurance corporations that provide non-life insurance for various classes of business. The operating surplus generated by workers' compensation business is included in the gross operating surplus for the financial corporations sector. However, workers' compensation premiums and claims are excluded from the transfer flows for net non-life insurance premiums and non-life insurance claims because they are shown separately as a component of social benefits and social contributions.
Sources and methods - Annual
13.70 The tables below outline the data sources and methods used in the estimation of annual net non-life insurance premiums and non-life insurance claims in current prices.
Item | Comment |
---|---|
Data sources | |
|
Annual estimates for net premiums and claims for non-life insurance are compiled using data published by:
|
Net non-life insurance premiums | |
|
Net non-life insurance premiums is calculated as Premiums where ISC = premiums + premium supplements - expected claims It follows that Net non-life insurance premiums = Expected claims The derivation of the annual total insurance service charge for non-life insurance (see Table 9.22 ANNUAL GROSS VALUE ADDED BY INDUSTRY- Insurance and superannuation funds (ANZSIC Subdivision 63)), is compiled at the elemental insurance business class level; that is, ISC is calculated for types of insurance products such as workers' compensation. The compilation of total ISC output enables the allocation of ISC by final use (household final consumption expenditure) and intermediate consumption directly. Intermediate consumption of ISC is classified by:
|
Non-life insurance claims | |
|
Non-life insurance claims are equal to actual claims. The compilation methodology for sectoral ISC requires sectoral actual claims estimates. |
Sources and methods - Quarterly
13.71 The tables below outline the data sources and methods used in the estimation of quarterly net non-life insurance premiums and non-life insurance claims in current prices.
Item | Comment |
---|---|
Net non-life insurance premiums | |
|
Quarterly estimates of net non-life insurance premiums and claims are compiled by applying a linear trend formula to the annual estimates. Quarterly non-life insurance claims paid by financial corporations and received by households and private non-financial corporations are then adjusted for the insurance cost of natural disasters, which is sourced from the Insurance Council of Australia. The adjustment is split between non-life insurance claims received by households and private non-financial corporations based on their annual contribution to the total. There exists a small quarterly imbalance between the rest of the world and the domestic sectors non-life insurance flows as they are derived separately. This imbalance is balanced off in financial corporations' non-life insurance claims payable as it is the largest non-life insurance series, and where the imbalance has the smallest impact. |
Miscellaneous current transfers
Introduction
13.72 There are a number of miscellaneous current transfers recorded in the ASNA. The following categories of transfers are identified and recorded separately:
- Current transfers to non-profit institutions serving households (NPISHs);
- Current transfers from the Commonwealth government to State and local government;
- Current international cooperation; and
- Other current transfers.
Current transfers to non-profit institutions serving households
13.73 Current transfers to non-profit institutions serving households consist of transfers received by NPISHs from other resident or non-resident institutional units in the form of grants, membership fees, subscriptions, voluntary donations, etc. whether made on a regular or occasional basis. They are made principally by households, general government and public non-financial corporations to institutions such as hospitals, private schools, charities and religious organisations.
13.74 Transfers from households to NPISHs include membership fees and subscriptions, plus donations, bequests and legacies made by individuals. Household transfers are in scope of this category, but households and NPISHs belong to the same institutional sector in the ASNA, and consolidation means that transfers paid by households and received by NPISHs net to zero. Membership fees and subscriptions paid to market non-profit institutions serving businesses are not current transfers but payments for services rendered, and are not included in this category.
13.75 Grants from general government are a major source of income for NPISHs. They are treated as current transfers whether general purpose grants or funding provided under an agreement for a specific purpose. Volume-based government funding is currently treated in the national accounts as another type of transfer, rather than as government final consumption expenditure. It refers to funding provided under an agreement or contract specifying the volume of services to be delivered, and paid in proportion to the volume of services delivered.
13.76 Current transfers are also made by public non-financial corporations (e.g. Totalisator Agency Boards) to organisations such as racing clubs and charities. Transfers from corporations to NPISHs that cannot be regarded as payments for advertising or other services would also be included in this item.
Current transfers from the commonwealth government to state and local government
13.77 Current transfers from the Commonwealth government to State and local government include the following:
- goods and services tax distributions to the States and Territories;
- financial assistance grants to the States and Territories;
- grants to fund State and Territory health care services, education services, social security and welfare services, and similar specific grants for current purposes;
- special revenue assistance grants provided to certain States and Territories;
- financial assistance grants for local governments which are provided through the State and Northern Territory governments; and
- grants for current purposes made directly to local government bodies.
13.78 These transfers appear only in the subsectoral income accounts for National, and for State and Local general government. They do not include transfers of funds committed to finance gross fixed capital formation because such transfers are treated as capital transfers.
Current international cooperation
13.79 Current international cooperation relates to transfers by the Commonwealth general government sector to non-residents, and includes current transfers to and payments made on behalf of Papua New Guinea, and current transfers under other bilateral aid projects, including food aid and disaster relief. The item includes contributions to the United Nations and other international organisations made by virtue of Australia's membership of these organisations, and contributions towards the cost of peacekeeping and emergency forces.
Other current transfers
13.80 Other current transfers are compiled using a matrix-based approach – the sector paying the transfer to each counterparty sector. The counterparty flows are then aggregated to form other current transfers received and paid by sector. The quarterly transactions between sectors are benchmarked to the annual using BOP and GFS indicator series and are aggregated up for publication. This approach means that there is no quarterly imbalance. However, the lack of data for the private sectors in this matrix approach results in a data gap for current transfers between private non-financial corporations, financial corporations and households.
13.81 The 2008 SNA states that other current transfers between households are current transfers made, or received, by resident households to or from other resident or non-resident households. The ASNA, however, does not record transfers between resident households. Other current transfers between households include all cash transfers, the value of in kind transfers and regular remittances between members of the same family resident in different parts of the same country or in different countries, usually from a member of a family working in a foreign country for a period of a year or longer. Earnings remitted by seasonal workers to their families are not international transfers as the workers remain resident in their country of origin (that is, they are still members of their original households) when they work abroad for periods of less than a year. Their earnings are recorded as compensation of employees from abroad if they have the status of an employee in the non-resident country while they are working there or as the provision of services otherwise.
13.82 Other current transfers to non-residents include social assistance benefits payable to non-residents by the Commonwealth government, personal transfers and payments made overseas by residents in respect of gifts, donations, legacies, sustenance, etc. Other current transfers from non-residents consist of receipts by households of social security benefits paid by foreign governments through the Commonwealth government to residents, and gifts, donations, legacies, other pensions, etc. When households change their economy of residence, there are changes to the status for the assets they own and liabilities they owe. These changes are recorded as reclassifications through the other changes in volume of assets account.
13.83 Fines are included as other current transfers payable to general government from other institutional sectors in the sectoral income accounts. Fines are civil and criminal penalties imposed on law breakers, other than penalties imposed by taxation authorities (which are regarded as taxes). Other current transfers (other than fines) consists of unclaimed bank and superannuation accounts as well as donations to schools, hospitals and universities from the household sector; settlement of damages and grants for research from the private non-financial sector; and private health insurance levies from financial corporations.
13.84 Other current transfers between domestic institutional sectors include amounts transferred as compensation for injury to persons and damage to property arising from the actions of the donor sector or from natural disasters (excluding payments of non-life insurance claims). Both damages awarded by law courts and out of court settlements would be included here, although no such estimates are currently available.
Sources and methods - Annual
13.85 Annual estimates of other current transfers are compiled by the sector paying the transfer to each counterparty sector. The counterparty flows are then aggregated to form other current transfers received by sector.
13.86 The tables below outline the data sources and methods used in the estimation of annual miscellaneous current transfers in current prices.
Item | Comment |
---|---|
Current transfers to NPISH | |
|
Current transfers to NPISHs are sourced from Government Finance Statistics. Data are derived from administrative sources such as the Commonwealth Department of Finance, State government financial statements and supplementary departmental documents. Annual financial statements data are obtained from the Department of Finance for national public non-financial corporations and quasi-corporations, and from State Treasuries for other public non-financial corporations. |
Item | Comment |
---|---|
Current transfers from Commonwealth government to State and Local government | |
|
Current transfers from Commonwealth government to State and Local government are sourced from Government Finance Statistics. Data are derived from administrative sources such as the Commonwealth Department of Finance, State government financial statements and supplementary departmental documents. |
Item | Comment |
---|---|
Current international cooperation | |
Estimates of current international cooperation are sourced from Government Finance Statistics. Data are derived from administrative sources such as the Commonwealth Department of Finance. |
Item | Comment |
---|---|
Other current transfers to and from non-residents | |
|
Other current transfers to and from non-residents are obtained from Balance of Payments data. The following outlines the data that is used for various components:
More detailed information on the sources and methods used to compile these estimates is included in Balance of Payments and International Investment Position, Australia: Concepts, Sources and Methods. |
Other current transfers between resident sectors | |
Estimates of other current transfers between resident sectors are obtained from Government Finance Statistics. Data are derived from administrative sources such as the Commonwealth Department of Finance, State government financial statements and supplementary departmental documents. |
Sources and methods - Quarterly
13.87 The tables below outline the data sources and methods used in the estimation of quarterly miscellaneous current transfers in current prices.
Item | Comment |
---|---|
Current transfers to NPISH | |
Quarterly current transfers to NPISHs are sourced from Government Finance Statistics. Data are derived from administrative sources such as the Commonwealth Department of Finance, State government financial statements, and quarterly surveys of local government authorities and public non-financial corporations. |
Item | Comment |
---|---|
Current transfers from Commonwealth government to State and Local government | |
|
Quarterly current transfers from the Commonwealth to State and local government are sourced from Government Finance Statistics. Data are derived from administrative sources such as the Commonwealth Department of Finance, State government financial statements, and quarterly surveys of local government authorities and public non-financial corporations. |
Item | Comment |
---|---|
Current international cooperation | |
Quarterly estimates of current international cooperation are obtained from the Commonwealth Department of Finance. |
Item | Comment |
---|---|
Other current transfers | |
|
Quarterly other current transfers are calculated using a matrix-based approach whereby other current transfers are calculated on a "from-whom-to-whom" basis, and then aggregated to obtain total other current transfers received and paid for each sector. Other current transfers to and from non-residents are obtained directly from Balance of Payments statistics. Quarterly estimates of other current transfers between public and other resident sectors are sourced from Government Finance Statistics. Data are derived from administrative sources such as the Commonwealth Department of Finance, State government financial statements, and quarterly surveys of local government authorities and public non-financial corporations. These quarterly estimates are used as indicators to produce other current transfers between public and other resident sectors by applying a benchmarking process to the corresponding annual series. There is no quarterly imbalance as quarterly other current transfers are calculated on a "from-whom-to-whom" basis, and then aggregated to obtain total other current transfers received and paid for each sector. |
Social transfers in kind
Introduction
13.88 Social transfers in kind are individual goods and services provided to individual households by general government units and non-profit institutions serving households. The goods and services may be produced by the government units and NPISHs or purchased by them from market providers. They are provided to households for free or at prices that are not economically significant. Also included are reimbursements made to individual households by general government units or NPISHs for purchases by the households under a scheme that authorises purchase of approved goods and services (e.g. reimbursement of the costs of pharmaceuticals purchased under the Pharmaceutical Benefits Scheme and Medicare rebates for medical services).
13.89 In the ASNA, NPISHs are combined with households as part of the household sector so only the transfers between the household and general government are recorded. If NPISHs were classified to a separate institutional sector, estimates of actual individual consumption and actual collective consumption would be required. The actual individual consumption would be recorded as social transfers in kind to households.
13.90 In the core set of national accounts, social transfers in kind are treated as government final consumption expenditure and not household final consumption expenditure, even though it is the households that directly benefit. Therefore, they are not included in household disposable income.
13.91 For some analytical purposes, it is useful to consider a measure of household consumption that includes the goods and services provided as social transfers in kind. Consequently, social transfers in kind are included in adjusted disposable income and actual individual consumption. They are recorded in two supplementary accounts: the general government adjusted disposable income account and the household adjusted disposable income account.
13.92 Estimates of adjusted disposable income are compiled annually only.
Sources and methods - Annual
13.93 The table below outlines the data sources and methods used in the estimation of annual social transfers in kind in current prices.
Item | Comment |
---|---|
Social transfers in kind | |
Estimates of social transfers in kind are obtained as a by-product of Government Finance Statistics. For Commonwealth and State general government, data are extracted from administrative sources such as Commonwealth and State budget papers and Auditors'-General Reports, Commonwealth Department of Finance ledgers and supplementary departmental documents. For local government, a joint ABS/Commonwealth Grants Commission annual return, which is collected from each local government authority, provides the details required. |
Adjusted disposable income account
Actual final consumption
13.94 The concept of actual final consumption is aimed at recording consumption in the sector in which the good or service is actually consumed rather than in the sector than incurs the expenditure.
13.95 Household actual final consumption includes:
- the value of the households expenditures on consumption goods and services including expenditures on non-market goods or services sold at prices that are not economically significant;
- government final consumption expenditures on education, health, social security and welfare, sport and recreation and culture, which are considered to be individual services; and
- all services provided by non-profit institutions serving households as they are treated as individual services.
13.96 Government actual final consumption is equal to government final consumption expenditures on collective services. Whilst collective services benefit the community, or certain sections of the community, rather than government, the actual consumption of these services cannot be distributed among individual households, or groups of households. Therefore, the actual consumption of these collective services is attributed to the government units that incur the corresponding expenditures.
13.97 The final consumption expenditures of NPISHs are automatically included in household actual final consumption, with NPISHs being part of the household sector in the ASNA. However, the value of the actual final consumption of NPISHs is equal to the value of its total final consumption expenditure less its expenditure on individual goods or services provided as social transfers in kind to households. The value of the actual final consumption of NPISHs is thus equal to the value of the expenditures they incur on collective services.
13.98 The following table outlines the method used to calculate adjusted disposable income for both the general government and household sectors.
Item | Comment | |
---|---|---|
General government | ||
|
The general government adjusted disposable income account is compiled using data which is used to compile gross disposable income for general government. The following outlines the calculation of adjusted disposable income: Adjusted disposable income Note that the sum of Social assistance in benefits kind and transfers of individual non-market goods and services is described in the ASNA as Total outlays in kind. The use of adjusted disposable income is equal to actual collective consumption plus net saving, with net saving being the difference (i.e. the balancing item) between adjusted disposable income and the used of adjusted disposable income. |
|
Social assistance benefits in kind | ||
Social assistance benefits in kind relate to benefits paid by general government on behalf of household sector. Data from the following items is used to estimate the most significant amounts to be attributed to households from general government:
|
||
Transfers of individual non-market goods and services | ||
|
Transfers of individual non-market goods and services includes expenditures on health and education services as well as any other individual good or services provided to households free, or at prices that are not economically significant. Transfers of individual non-market goods and services are derived by subtracting the social assistance benefits in kind from the total outlays in kind where total outlays in kind is total government final consumption expenditure less actual collective consumption. |
|
Actual collective consumption | ||
|
Government actual final consumption, also referred to as actual collective consumption, is compiled using government final consumption expenditure data obtained from Government Finance Statistics. The government final consumption expenditure data is classified according to the Australian version of the Classification of the Functions of Government (COGOF-A), and data for COFOG-As relevant to government actual final consumption are summed to form the estimate for actual collective consumption. They are:
|
|
Household (including NPISH) | ||
|
The household adjusted disposable income account is compiled using data which is used to compile gross disposable income for households. The following outlines the calculation of adjusted disposable income: Adjusted disposable income Note that the sum of Social assistance benefits in kind and transfers of individual non-market goods and services from general government is described in the ASNA as Social outlays in kind. The use of adjusted disposable income is equal to actual individual consumption plus consumption of fixed capital, with the difference between adjusted disposable income and these uses being net saving (which is derived as a balancing item) between adjusted disposable income and the use of adjusted disposable income. |
|
Social assistance benefits in kind | ||
|
Social assistance benefits in kind relate to benefits paid by general government to the household sector. Data for the following items is used to estimate the most significant amounts to be attributed to households from general government:
These data are sourced from Government Finance Statistics. |
|
Transfers of individual non-market goods and services from general government | ||
|
Transfers of individual non-market goods and services from general government includes, most significantly, the expenditures on health and education services as well as any other individual good or services provided to households free, or at prices that are not economically significant. Transfers of individual non-market goods and services from general government are derived by subtracting the social assistance benefits in kind from social transfers in kind where social transfers in kind is total government final consumption expenditure less actual individual consumption. |
|
Actual individual consumption | ||
|
Household actual final consumption, also referred to as actual individual consumption, is compiled using government final consumption expenditure data obtained from Government Finance Statistics. The government final consumption expenditure data is classified according to the Australian version of the Classification of the Function of Government (COFOG-A), and data for COFOG-As relevant to household actual final consumption (i.e. individual consumption) are summed with household final consumption expenditure to form the estimate for actual individual consumption. The COFOG-As are:
|
Final consumption expenditure and actual final consumption: summary
13.99 Total final consumption in the economy may be viewed from two perspectives, being:
- the expenditure side, as the total value of all expenditures on individual and collective consumption goods and services incurred by resident households, resident NPISHs and general government units; and
- actual final consumption, as the value of all the individual goods and services acquired by resident households plus the value of the collective services provided by general government to the community., or large sections of the community.
13.100 The coverage of goods and services is the same in both cases. In order to ensure that the values of the two aggregates are the same, the goods and services acquired by resident households through transfers in kind must always be valued at the prices at which they are valued in the expenditure aggregates, and the time of recording the goods and services acquired by transfers in kind must be the same as the time of recording in the expenditure aggregates. It is also assumed that the flows to non-residents are balanced by flows from government (and NPISHs) of other economies.
Agricultural income account
13.101 Historically, there has been user demand to obtain more detailed data relating to the agriculture industry. It was a significant industry in the past, so this level of detail was important for economic analysis. There is still interest in this level of detail even though the significance of the agriculture industry in the Australian economy has declined over the years.
13.102 Agricultural income is the income accruing from agricultural production during an accounting period. It is equal to gross agricultural product at factor cost (i.e. gross value added at basic prices) less consumption of fixed capital, compensation of employees and net rent and interest payments.
13.103 Agricultural income is estimated both annually and quarterly. Quarterly current price and chain volume estimates are benchmarked to annual supply-use tables at the same level of aggregation that appears in Table 50 Agricultural Income (electronic) in the ABS publication, Australian System of National Accounts. That is, agricultural output is benchmarked at the commodity level (or aggregations of 'like' commodities), and total intermediate use is benchmarked at the aggregate level. For output, this ensures that the weights of commodities in the quarterly system (in both current prices and in chain volume terms) are annually 'reset' to align with weights derived from the supply-use system, but the same does not occur for intermediate use owing to lack of detail.
13.104 Multiplicative seasonal adjustment is not appropriate for commodities where there is zero output in any given quarter. Sugar cane, wheat, and fodder and grass are examples of commodities where there is at least one quarter of zero output each year. To deal with this, a pseudo-additive decomposition method is applied to seasonally adjust these series. See paragraph 7.63 for more details.
13.105 The table below outlines the sources and methods used to calculate agricultural income.
Item | Comment |
---|---|
Agricultural income | |
Agricultural income is calculated using the current price values for gross value of production less intermediate inputs, less compensation of employees, consumption of fixed capital and net property income, less net taxes on production. Gross value of production for agriculture is estimated using data collected in the ABS publication, Value of Agricultural Commodities Produced, Australia, and is supplemented by annual data from the ABARES publication, Agricultural Commodities. Intermediate inputs are estimated using data published in the ABS publication, Value of Agricultural Commodities Produced, Australia, and is supplemented by annual data from the ABARES publication, Agricultural Commodities. Compensation of employees is estimated using supply-use benchmarks for wages and salaries and employer social contributions, and extrapolating the latest years using data from the ABARES publication, Agricultural Commodities (Farm Costs and Returns – Labour). Annual data are split across the quarters using weights as allocators. Consumption of fixed capital attributable to agriculture is estimated using a percentage of the total consumption of fixed capital value for Agriculture, Forestry and Fishing. This is based on weights estimated from data in the ABS publication, Australian Industry. Net property income payable is calculated by summing farm interest, farm rent and third-party insurance less FISIM. Data are sourced from the ABARES publication, Agricultural Commodities for interest paid; total overheads paid; farm management deposits; and rates and taxes. Other data are sourced from the Reserve Bank of Australia for small business other overdraft and total credit outstanding by sector. Annual data are split across the four quarters using a fixed proportion each quarter. Taxes less subsidies on production is estimated using S-U benchmarks and extrapolating the latest year using the movement in current price value of total farm production, sourced from the Australian Bureau of Agricultural and Resource Economics and Sciences. Income accruing to unincorporated farms, which contributes to gross mixed income for GDP(I), is estimated as gross value added for agriculture less compensation of employees payable to farm employees, less income accruing to incorporated farms. |
Chapter 14 The capital account
The capital account and additional components to compile the capital account
The capital account
14.1 In the 2008 SNA, the capital account is the first of four accounts dealing with changes in the value of assets held by institutional units. It records transactions in non-financial assets. The financial account records transactions in financial assets and liabilities. The other changes in the volume of assets account records changes in the value of both non-financial and financial assets that result from neither transactions or price changes. The effects of price changes are recorded in the revaluation account. These four accounts enable the change in the net worth of an institutional unit or sector between the beginning and end of the accounting period to be decomposed into its constituent elements by recording all changes in the prices and volumes of assets, whether resulting from transactions or not. The impact of all four accounts is brought together in the balance sheets.
14.2 Assets are a store of value representing a benefit or series of benefits accruing to the economic owner by holding or using the entity over a period of time. The economic benefits that can be derived from the use of an asset consist of primary incomes (for example operating surplus generated by the use of the asset in production, or property income in the form of interest, dividends, rent etc., received by owners of financial assets and land) and the value, including possible holding gains or losses, that could be realised by disposing of assets. Assets consist of non-financial and financial assets. Liabilities are the counterparts of financial claims represented by financial assets; that is, liabilities are the financial assets of the institutional units or non-residents holding a financial claim against the subject unit).
14.3 The purpose of the capital account is to record the values of the non-financial assets that are acquired, or disposed of, by resident institutional units by engaging in transactions and to show the change in net worth due to saving and capital transfers. Non-financial assets consist of produced assets which have come into existence as outputs of the production process, and non-produced assets which have come into existence through processes other than production.
14.4 In the capital account, net saving appears as a source of funds along with net capital transfers and consumption of fixed capital. The inclusion of consumption of fixed capital effectively means that the sources of finance are gross saving and capital transfers. These sources are offset by accumulation entries for gross fixed capital formation (GFCF), changes in inventories, and acquisitions less disposals of non-produced non-financial assets. The balancing item in the account is net lending (if positive) or net borrowing (if negative).
14.5 The relationship of the balancing items of the capital and financial accounts is an important feature of National Accounts. The balancing items in both accounts (net lending/borrowing and change in financial position respectively) are conceptually equal, but due to measurement error result in a discrepancy which is presented as net errors and omissions. Compilation of financial accounts for each institutional sector is therefore impacted by the magnitude of net lending/borrowing as compiled from the capital account perspective. Adjustments are often made to the financial accounts data to minimise net errors and omissions.
14.6 In the ASNA, the National capital account includes both details of the accumulation of assets and the means of financing them (as outlined below). The sectoral accounts are presented in the same way at the level outlined below, but the next level down illustrates the flows between the sectors, and do not include transactions with non-residents. They are a disaggregation of the national capital account, and show the extent to which the sum of savings and capital transfers are used to finance the acquisition of non-financial assets.
Financing of accumulation | Accumulation |
---|---|
Net saving | Gross fixed capital formation |
Consumption of fixed capital | Changes in inventories |
Net capital transfers receivable from non-residents | Acquisitions less disposals of non-produced non-financial assets |
Statistical discrepancy (E) less statistical discrepancy (I) | |
Net lending to non-residents | |
Gross saving and capital transfers | Total capital accumulation and net lending |
14.7 The 2008 SNA's Other changes in volume of assets account and Revaluation account are not presented as separate accounts; rather, the details contained in these accounts are presented as part of ASNA's Balance sheets.
14.8 A net lending (positive) result implies an excess of capital finance over requirements for gross capital formation and net purchases of non-produced non-financial assets. A net borrowing (negative) result implies the existence of a borrowing requirement to finance capital acquisitions. Net lending/borrowing will therefore be reflected in changes in financial assets and liabilities in the financial account and is technically equal to the balancing item in that account. At the national level, the net lending/borrowing outcome in the national capital account indicates whether surplus funds are lent to the rest of the world or whether there is a borrowing requirement from the rest of the world to finance national capital formation. Net lending/borrowing in the national capital account is equivalent to the balance on current account and capital transactions in the balance of payments.
Produced assets
14.9 There are three main types of produced assets: fixed assets, inventories and valuables. Both fixed assets and inventories are assets that are held only by producers for the purposes of production. Valuables may be held by any institutional unit and are primarily held as stores of value. However, valuables are not included within the asset boundary in the ASNA.
14.10 Fixed assets are non-financial assets that are used repeatedly and continuously in production processes for more than one year. They include:
- dwellings, including dwellings under construction and the value of alterations and additions to dwellings including those made by owner-builders;
- other buildings, including non-residential buildings and the fixtures, fittings and equipment that are integral parts of the buildings. Uncompleted buildings and structures are included. Buildings acquired for military purposes are also included;
- other structures, such as highways, railways, bridges, harbours, dams, pipelines, communication and power lines, constructions (other than buildings) for sport or recreation purposes. Structures acquired for military purposes are also included;
- ownership transfer costs;
- transport equipment, including motor vehicles, semi-trailers, ships, locomotives and aircraft. Transport machinery acquired by defence forces is included. Items of transport equipment acquired by households for final consumption are not treated as fixed assets;
- other machinery and equipment, including electrical apparatus, office accounting and computer equipment, furniture, fixtures and fittings not forming an integral part of buildings, durable containers, special tooling etc. Other equipment acquired by defence forces are also included;
- weapons systems;
- cultivated biological resources, consisting of:
- Livestock, including breeding stocks, dairy cattle, sheep or other animals used for wool production and animals used for transportation, racing or entertainment; and
- vineyards, orchards, and other plantations of trees yielding repeat products such as sap, resin, bark and leaf products.
14.11 Intellectual property products are also included as fixed assets. They include:
- research and development;
- mineral and petroleum exploration, comprising the capitalised value of expenditures on exploration for petroleum, natural gas and mineral deposits;
- computer software, including the purchase of software, and software developed in-house if the expenditure is large. Expenditures on the purchase, development or extension of databases are also included. The ASNA does not separately identify databases from computer software, as recommended by the 2008 SNA; and
- entertainment, literary or artistic originals, comprising the originals of films, sound recordings, manuscripts, tapes etc. on which drama performances, radio and television programming, musical performances, sporting events, literary and artistic output etc., are embodied.
14.12 Inventories are produced assets that consist of goods and services which came into existence in the current period or in an earlier period, and that are held for sale, used in production or other uses at a later period. They include materials and supplies intended to be used as inputs to production, work-in-progress, finished goods and goods purchased for resale without further processing. Work-in-progress includes the value of livestock raised for the purpose of slaughtering or eventual sale, and trees or other vegetation yielding once-only products (such as timber plantations).
14.13 Valuables are held as a store of value and include precious metals and stones not held for use as inputs to production, antiques, works of art and other valuables such as collections of jewellery of significant value. Due to data limitations, valuables are not currently included within the boundary of produced assets in the ASNA.
Non-produced non-financial assets
14.14 Non-produced assets are non-financial assets that occur in nature and over which ownership may be enforced or transferred. Environmental assets over which ownership cannot be attributed, such as international waters or air, are excluded. In the ASNA, non-produced non-financial assets consist of natural resources and contracts, leases and licences.
14.15 Natural resources include the following:
- land, including the value of land underlying dwellings, non-residential buildings and structures, land under cultivation, recreational land and associated surface water and private gardens and plots not cultivated for commercial purposes;
- mineral and energy resources, such as proven and exploitable reserves of coal, oil, natural gas, metallic and non-metallic mineral reserves;
- native standing timber available for commercial exploitation; and
- radio spectrum.
14.16 Water resources which are subject to some form of ownership or use rights, market valuation or some measure of economic control are conceptually included. Due to data limitations, however, they are not included in the ASNA.
14.17 Contracts, leases and licences entitle their owners to engage in certain specific activities or to produce certain specific goods or services and to exclude other institutional units from doing so except with the permission of the owner. Included are patents, broadcasting licences, other transferable contracts and spectrum licences.
14.18 Purchased goodwill and marketing assets are classified as non-produced assets. However, due to data limitations these are not included in ASNA.
Additional components to compile the capital account
14.19 The starting point of the capital account is net saving which is the balancing item of the income account. If net saving is positive it represents that part of disposable income that is not spent on consumption goods and services and must, therefore, be used to acquire non-financial or financial assets or to repay liabilities. If net saving is negative, then final consumption exceeds disposable income which must be financed by disposing of assets or incurring liabilities.
14.20 In order to determine the amount available to the unit or sector for the acquisition of non-financial and financial assets it is necessary to also take into account the consumption of fixed capital and capital transfers in addition to net saving. The result of this is gross saving and capital transfers which can then be used to acquire or dispose of non-financial assets. The acquisition and disposal of non-financial assets are accounted for by GFCF, changes in inventories and acquisitions and disposals of non-produced non-financial assets.
14.21 Therefore, the additional components required to compile the capital account are:
- consumption of fixed capital;
- acquisitions less disposals of non-produced non-financial assets; and
- capital transfers.
Consumption of fixed capital
Introduction
14.22 Estimates of the capital stock of the Australian economy, together with the value of capital assets used up in the productive process (called depreciation in commercial accounting or consumption of fixed capital in the national accounts) and the flow of capital services to the productive process, are produced using an application of the Perpetual Inventory Method (PIM). Estimates of capital stock and capital consumption are calculated for all fixed assets that are owned by producers. These measures are expressed in current prices and also as chain volume measures.
14.23 Capital stock estimates provide information about the stock of capital available in an economy at a particular point in time. Three measures of capital stock can be distinguished: gross, net and productive.
- The value of an economy's gross capital stock is obtained by valuing each asset in use at the current price of a new asset of the same type, regardless of the age of the asset. It is calculated as the accumulation of past investment flows less retirements at 30 June each year, before the deduction of any allowances for consumption of fixed capital.
- Net (or economic) capital stock estimates are the written down values of an economy's gross capital stocks. They represent the net present values of the future capital services to be provided by the assets. The difference between the net and gross value of an asset is accumulated depreciation. Net capital stock is essentially a measure of wealth and is shown on an economy's balance sheet.
- Productive capital stock estimates are derived by writing down each asset in accordance with its decline in efficiency due to age. If, for example, an asset is 75 per cent as efficient as a new asset of the same type, then the productive value of that asset is 75 per cent of the value of the new asset. Efficiency tends to decline with age, as older assets require more frequent and extensive maintenance and more replacement parts. Productive capital stock estimates are a measure of productive capacity and they form the basis for the measure of capital services required for productivity analyses.
Relationship between productive capital stock and net capital stock
14.24 Although the concepts of productive and economic capital are quite different they are intimately related: for any particular asset, given the real productive capital stock and a suitable discount rate we can determine the real economic (i.e. net) capital stock and, after reflation, the current price economic capital stock. The age-efficiency function (after being multiplied by a suitable scalar) defines how the flow of real capital services from an asset declines over an asset's life. The real economic value of an asset at any time can be calculated - given a discount rate - as the sum of discounted future real flows of capital services. Once the real economic values of an asset are determined over its lifespan an ageprice function can be derived. The age-price function defines how the net capital stock of an asset declines as it ages in real terms. Unlike net capital stock, productive capital stock is a concept that is really only applicable to the stock of a single type of asset. It is best aggregated over different types of assets by using rental prices as weights. The resulting aggregate is then used to produce a volume index of capital services.
14.25 The scope of capital stock is defined by the coverage of GFCF.
Consumption of fixed capital and capital services
14.26 Two flow concepts are relevant to capital stocks:
- Consumption of fixed capital (COFC) represents the value of a capital asset that is 'used up' in a particular period. The real consumption of fixed capital of an asset in a period is the difference in the real economic value of the asset at the beginning of the period and at the end of the period. Consumption of fixed capital is based on the concept of the expected economic lifetime of an asset and is designed to cover the loss in value due to normal wear and tear, foreseen obsolescence, and the normal amount of accidental damage which is not made good by repair. Unforeseen obsolescence is treated as a capital loss rather than as consumption of fixed capital.
- Capital services reflect the amount of 'service' each asset provides during a period. For each asset, the services provided in a period are directly proportional to the asset's productive capital value in the period. As an asset ages and its efficiency declines so does the productive capital value and the services the asset provides. In equilibrium, the value of capital services is equal to the gross returns (or rentals) to owners of capital; that is, the sum of COFC during the period and a return on the net capital stock of assets. The relationship between the capital services provided by an asset and the asset's productive value is fixed over the asset's life. However, this relationship varies from asset to asset and it depends on an asset's expected life, the discount rate, and the rate of decline in the asset's efficiency.
Relationship between consumption of fixed capital and the flow of capital services
14.27 Consumption of fixed capital is always less than the value of the capital services, since the return to the owner of the asset must also cover the interest (or capital) cost of holding the asset. In other words, the value of the service has to not only cover depreciation but provide a return to the owner of the asset sufficient to cover the interest cost. More explicitly, in any given period, consumption of fixed capital is equal to the value of the capital services provided by the asset, minus the return to the owner of the asset.
Valuation of capital stock and consumption of fixed capital
14.28 Capital stock and consumption of fixed capital are presented in the ASNA in current prices and as chain volume measures. The chain volume measures are referenced to the average values in the reference year.
Capital stock measurement
14.29 There are two broad approaches to the measurement of capital stock:
- direct measurement, as the name implies, involves direct approaches to owners of fixed capital assets to obtain estimates of their capital stock. Such data have not been collected for Australia.
- the Perpetual Inventory Method (PIM) involves the compilation of a 'rolling' inventory of capital stocks; in any particular period, investment in capital assets is added to stocks, and retired assets are deducted. To apply the PIM, the following are generally required:
- gross fixed capital formation (GFCF) for the period for which the capital stock estimate is required and for periods prior to that period up to the maximum life of the asset; and
-
price indexes for the entire timespan of GFCF.
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the mean asset lives; that is, average of the length of time they are used in production;
-
the extent to which assets are retired before, on or after the average asset life for that asset - the retirement distribution. Alternatively, retirements can be expressed as a survival function;
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the age-efficiency functions of assets (when weighted using the retirement distribution are used to derive productive capital stock estimates);
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the age-price function of assets (used to derive net capital stock estimates and estimates of consumption of fixed capital);
Obsolescence and consumption of fixed capital
14.30 Obsolescence occurs when an event causes an otherwise useful asset to become less useful or useless. Examples include immovable assets at a remote mine site when the mine is worked out, a building that fails to meet new health and safety regulations or, very commonly, technical innovation. As time passes technical innovation occurs, leading to the availability of assets that are superior in some way to assets previously available that performed a similar function. An example is a new model of computer that has superior performance to previous models, but is not commensurately more expensive. New, desirable software becomes available which only the new computers can support. Demand for the new, superior computers is strong while the demand for older-style computers declines sharply, and the older-style assets in service are retired before they are worn out.
14.31 Obsolescence is time-dependent, not age-dependent. All vintages of an older style asset suffer obsolescence at the same time. For many types of asset there is a history of regular technical innovation that leads purchasers to expect further innovations in the future. Computer equipment is an asset of this type. Purchasers of computer equipment can expect rapid technical innovation to make an asset bought today obsolete in a few years' time. While computers might be expected to give relatively trouble-free service for many years their economic lives are much shorter. As a consequence, the values of assets such as computer equipment fall rapidly and their rate of COFC is high.
14.32 If obsolescence is foreseen then it is factored in by the owner in determining the asset's expected economic life, and hence its expected value and depreciation in future periods. Therefore, when the event causing the foreseen obsolescence occurs there is not an abrupt fall in the value of the asset. Foreseen obsolescence is included in COFC in the national accounts because it is an expected cost of production. If there is a loss in value of an asset due to obsolescence that is not foreseen, then it should be recorded in the other changes in the volume of assets account and not in COFC. In general, it is assumed in the Australian national accounts that all obsolescence is foreseen.
14.33 If proper account is taken of quality changes in the compilation of price indexes, then they will reflect relative price falls when technical innovation occurs. As a consequence, if such price indexes are used to deflate capital formation of a type of asset that undergoes a technical innovation, the resulting volume estimates of older-style and new-style assets will be comparable because the price indexes used to deflate the current price values of the old- and new-style assets reflect the difference in quality between the two.
14.34 The age-price functions referred to above are in real terms. Therefore, providing they do not change over time (due to the rate of foreseen obsolescence changing or changes in asset reliability, etc.), the same age-price function is applicable to both different vintages of the same asset type at any particular time or to any particular vintage of an asset type over time. For most asset types it is assumed that the age-price function is constant. There are some exceptions for which slowly changing economic lives are prescribed and, as a result, the age-price functions of these asset types change slowly over time. In these cases, it is the same suite of age-price functions that is applicable both to different vintages of the same asset type at any particular time and to any particular vintage of an asset type over time. Thus the same suite of age-price functions can be used to permit the aggregation of different vintages of the same asset type at a particular time to obtain estimates of net capital stock, or they can be used to calculate the change in value of assets over time - COFC - in volume terms.
14.35 It is evident from the foregoing that volume estimation is an essential first step in estimating capital services, net capital stock and COFC.
Age-efficiency, age-price and depreciation rate functions
Age-efficiency functions
14.36 There is a lack of empirical data about the shape of age-efficiency functions and the choice is a matter of judgement. Although capital stock levels are sensitive to the shape of the age-efficiency function, average growth rates are not. (In fact, if real GFCF is held constant over time, the choice would have no impact on the capital stock growth rate, but it would affect the capital stock level.) The ABS has chosen to use hyperbolic functions, the same approach as that used by the US Bureau of Labor Statistics (BLS). In a hyperbolic function, the efficiency of the asset declines by small amounts at first and the rate of decline increases as the asset ages.
14.37 Hyperbolic decline has the form:
\(\large E_t = \frac{M-A_t }{M-bA_t }\)
where \(E_t\) is the efficiency of the asset at time \(t\) (as a ratio of the asset's efficiency when new).
\(M\) is the asset life as per the Winfrey distribution (discussed below)
\(A_t\) is the age of the asset at time \(t\)
\(b\) is the efficiency reduction parameter.
14.38 The efficiency reduction parameter b is set to 0.5 for machinery and equipment, and 0.75 for structures - the same parameter values as used by the US BLS. The higher value for non-dwelling construction redistributes efficiency decline to occur later in the asset's life, relative to machinery and equipment, the efficiency decline of which is distributed more evenly throughout the asset's life. For computer software, b is set to 0.5. For livestock, b is also set to 0.5. Clearly, a more accurate age-efficiency function and age-price function could be assumed by recognising that livestock are immature for a number of years before they begin service as mature animals. However, such improvements compromise model simplicity and the improvements from doing so would be quite small. For mineral exploration b is set to 1, implying that there is no efficiency decline in exploration knowledge. The opposite is the case for artistic originals, where b is set to 0, implying straight-line efficiency decline.
14.39 Graphs below show (i) the main types of age-efficiency functions and (ii) the age-price functions relating to each of the age-efficiency functions. When the hyperbolic functions for each of the possible lives of an asset are weighted together (as per the Winfrey distribution), the resulting average age-efficiency function resembles a logistic function with a point of inflection towards the end of its maximum life.
Graph 14.1 Age-efficiency functions
Graph 14.2 Age-price functions
Age-price functions
14.40 Age-price functions are calculated using average age-efficiency functions and a real discount rate. The age-efficiency function describes the decline in the flow of capital services of an asset as it ages. Using the discount rate, the net present value of future capital services can be readily calculated. For instance, when multiplied by a suitable scalar, the first value of the age-price function represents the present discounted value of the capital services provided by an asset over its entire life. The second value of the age-price function represents the present discounted value of the capital services provided by an asset from the end of its first year until the end of its life. The third value represents the present discounted value of the capital services provided by an asset from the end of its second year until the end of its life, and so on. Age-price functions are normalised and adjusted for mid-year purchase, to allow for some consumption of fixed capital occurring in the first year. The ABS has chosen a real discount rate of 4 per cent, the same as that used by the US BLS and which approximates the average real 10-year Australian bond rate.
14.41 When the net present values of the different assets are aggregated for a particular period, they form the net capital stock for that period.
Depreciation rate functions
14.42 In real terms, depreciation (or COFC) is the difference between the real economic value of the asset at the beginning of the period and at the end of the period. The depreciation rate function is calculated as the decline in the age-price function between assets of consecutive ages. When multiplied by a suitable scalar, it shows the pattern of real economic depreciation or COFC over an asset's life. Consumption of fixed capital for each vintage of each asset type is then aggregated to form the total consumption of fixed capital for that period. It can also be calculated as GFCF less the net increase in the net capital stock; that is, GFCF less the difference between the net capital stock at the end of the period and at the beginning of the period).
Sources and methods - Annual
The Perpetual Inventory Method (PIM)
14.43 The PIM measures capital stock and COFC annually. The steps involved in applying the PIM are summarised in the chart below.
Figure 14.1 The PIM process
- Expressed in the average prices of the reference year
14.44 The PIM is applied to annual volume estimates of GFCF at a detailed level; that is, for a particular asset type for a particular industry in a particular institutional sector), in order to maintain an estimate of capital stock. It requires an initial estimate of capital stock, but this is taken to be zero. Volume estimates of net and productive capital stock and consumption of fixed capital are compiled using vector multiplication. The product of two vectors results in a value for a particular period. The first vector represents the age-efficiency or age-price or COFC pattern from when the fixed asset is new to the end of its life. The second vector is always the GFCF series. Shifting the second vector (GFCF) one year at a time before multiplying with the first vector results in a time series of values of capital stock or consumption of fixed capital, depending on the vector used.
14.45 For instance, gross capital stock at the end of period t is the product of the survival function and GFCF vectors. The first element of the GFCF vector is the value for period t; the second element is the value is for period t-1; the third is for period t-2; and so on. The final element is the value for period t-m, where m is the maximum possible life of the asset. A survival function represents the probability that a fixed asset is still in service and is derived from the asset life distribution. When the asset is new, the survival probability is equal to 1, but as it ages the survival probability declines, until it reaches zero. At the end of its life the asset is assumed to have a zero scrap value (in practice, it is recognised that positive and negative scrap values can occur but no attempt has been made to quantify the net effect of these). The survival function can be constructed by subtracting, for each period, the probability of retirement in that period.
14.46 Productive capital stock is the product of the average age-efficiency function (AAE) and GFCF vectors. The AAE for a particular asset age is calculated as a weighted average of the efficiency functions for each possible length of life, using the probability of retirement as weights.
14.47 Net capital stock is the product of the age-price function and GFCF vectors. Age-price functions are calculated using the AAE and a real discount rate in the following way. The present discounted value of the future stream of capital services from when the asset is new until the end of its life gives the first value of an age-price function, the present discounted value of the future stream of capital services from when the asset is one year old until the end of its life gives the second value, and so on. Age-price functions are normalised and adjusted on the assumption that all of GFCF in a year occurs mid-year.
14.48 COFC is the product of the depreciation rate function and GFCF vectors. The depreciation rate function is calculated as the decline in the age-price function between assets of consecutive ages.
14.49 Current price estimates at the most detailed level of estimation of gross capital stock, net capital stock and consumption of fixed capital are obtained by reflating the volume estimates. The price indexes used to reflate the volume estimates are the same as those initially employed to deflate GFCF except that, for capital stocks, they are adjusted to an end year basis by averaging consecutive values of the price indexes. For reflated consumption of fixed capital, which is a flow concept, the price indexes are not adjusted to an end of year basis. The resulting elemental series at current prices are aggregated to the level published, while elemental volume measures are aggregated to form chain volume measures at the level published. Elemental estimates of capital stock satisfy the following identities:
\(\large GKS_t = GKS_{t-1} + GFCF_t - R_t\)
\(\large NKS_t = NKS_{t-1} + GFCF_t - COFC_t\)
\(\large GKS$_t = (GKS_{t-1} + GFCF_t - Rt) * (PI_t + PI_{t+1}) / 2 \)
\(\large NKS$_t = (NKS_{t-1} + GFCF_t - COFC_t) * (PI_t + PI_{t+1}) / 2 \)
where
\(GKS_t=\) deflated gross capital stock in period \(t\)
\(NKS_t =\) deflated net capital stock in period \(t\)
\(GKS$_t =\) gross capital stock in current prices at end of period \(t\)
\(NKS$_t =\) net capital stock in current prices at end of period \(t\)
\(GFCF_t =\) deflated gross fixed capital formation in period \(t\)
\(R_t =\) deflated retirements in period \(t\)
\(COFC_t =\) deflated capital consumption in period \(t\)
\(PI_t =\) price index in period \(t\)
\($\) denotes the current dollar equivalent of the respective deflated series.
Note \(R_t\) is not included in the net estimates above as it is included in \(COFC\).
14.50 Average age of the gross capital stock at the end of each year is another output of the PIM. Average age is the age at 30 June of past years' GFCF weighted by their proportions of the surviving gross capital stock. These calculations assume an average mid-year purchase.
Current price GFCF
14.51 The GFCF data required as input into the PIM are consistent with those described previously, and are published in Australian System of National Accounts.
14.52 GFCF data by asset type are further classified by institutional sector and industry/purpose: dwellings; non-dwelling construction; machinery and equipment; cultivated biological resources; computer software; mineral and petroleum exploration; entertainment; literary or artistic originals; ownership transfer costs; research & development and weapons systems.
14.53 A number of problems with the generation of detailed capital formation estimates affect the reliability of estimates produced by the PIM. In particular, sector and industry estimates of private GFCF on machinery and equipment should be interpreted cautiously because the data available to adjust estimates in accordance with Australian Accounting Standard AASB16 and AASB117 (Accounting for Leases) are not as detailed as ideally required.
14.54 The first years for which estimates of capital stock and COFC have been published are 1966-67 and 1948-49, respectively. 1948-49 is the first year for which most national accounts data have been compiled by the ABS. Although the national accounts are compiled from 1959-60, in order to estimate capital stock and consumption of fixed capital from 1966-67 and 1959-60, respectively, estimates of GFCF are required for much earlier years. The length of the detailed GFCF series required varies depending on the particular mean asset life and asset life distribution applicable to that series.
14.55 Estimates of GFCF for years prior to 1948-49 are generally less accurate than those since 1948-49. The early data have relatively little impact on the present estimates because of the retirement of older assets, and the rapid growth of the Australian economy since World War II.
14.56 Estimates for years prior to 1948-49 are prepared using various sources including Butlin⁴⁶, and ABS data from issues of Production Bulletins, Primary Industry Bulletins, Secondary Industry Bulletins, Finance Bulletins, Transport and Communication Bulletins, State Statistical Registers and Australian and State Year Books.
14.57 Estimates of general government capital stock and consumption of fixed capital are calculated using the PIM by government purpose category. Estimates by purpose are then transformed into industries to obtain general government capital stock and consumption of fixed capital by industry. As the relationship between the government purpose classification and the ANZSIC is complex, this can only be done on an approximate basis.
Price indexes
14.58 The price indexes used in the PIM are the same as those used in the preparation of chain volume estimates of GFCF. However, the latter, with the exception of non-produced fixed asset estimates, are only compiled as chain volume estimates back to 1985-86. They are then linked to previously compiled constant price estimates at base years generally five years apart.
14.59 In contrast, the volume estimates derived as a means of estimating the capital stock related statistics are compiled all in one piece. The same is true for the reflation to derive current price estimates and chain volume estimates. This process requires the compilation of continuous price indexes going much further back in time than those required for the gross domestic product account.
14.60 For all categories other than construction, the price indexes extend no further back than 1948-49, but for construction they extend much further back. For years prior to 1948-49, the following price indexes are used:
- Dwellings and non-dwelling construction other than roads - a general building price index derived from Haig for the years 1938-39 to 1948-49.⁴⁷ For the years 1866 to 1938-39, a price index derived from Butlin.
- Roads - a roads price index derived from Keating, and Bureau of Transport Economics data (1941-42 to 1947-48).⁴⁸
14.61 As with the GFCF data, the poorer quality of early data should be considered in the light of its small contribution to more recent capital stock levels. Furthermore, unlike GFCF, most price indexes tend to be reasonably highly correlated over time.
14.62 The underlying price indexes from which the GFCF price indexes are compiled relate to a number of different base periods because of the length of the time series required. For example, ABS price indexes with base years of 1953-54, 1959-60, 1966-67, 1974-75, 1979-80, 1984-85 and 1989-90 are used, as well as non-ABS price indexes prior to 1948-49 which have earlier base years. Therefore, it is necessary to splice the price indexes with different base periods on the basis of relationships in overlapping periods.
14.63 Each item is a hybrid of several series, although only one price index series results for individual items. For example, price indexes for the early 1950s are used which reflect the composition of GFCF in 1953-54 when the current price values of machinery and equipment purchased in 1949-50 are calculated. In the mid to late 1950s, indexes which reflect the composition of GFCF in 1959-60 are used, etc.
Mean asset lives
14.64 The mean asset lives are the most important of the parameters used in the PIM. Together with asset life distributions, and the age-efficiency functions, they determine when assets are retired from the gross capital stock, the net capital stock, and the rate of depreciation charged. Six main data sources are used to derive estimates of mean asset lives:
- implicit tax lives;
- weighted prescribed tax lives;
- asset lives used by businesses to calculate depreciation for their own purposes;
- survival rates for vehicles in the motor vehicle fleet derived from data on new vehicle registrations and the motor vehicle census;
- technical information on the operating lives of various types of machinery from manufacturers' specifications; and
- asset life estimates from other OECD countries.
Changes in asset lives over time
14.65 Asset lives are influenced by a large number of variables, which may either increase or decrease asset lives over time. These variables include changes in rates of use, technological advances and quality changes.
14.66 In the case of motor vehicles there is strong evidence that mean lives have increased over the past fifty years, and these increases have been incorporated in the PIM for estimating the capital stock.
14.67 It is possible that the lives of other classes of assets have also changed, but there is no conclusive evidence to demonstrate that this has occurred.
14.68 While the lives of particular classes of assets may change over time, the average life span of all capital equipment also changes as a result of the changes in the composition of capital formation. This effect has been captured to some extent by breaking expenditure on machinery and equipment down into six major classes, as outlined below:
- Computers and peripherals equipment, encompassing laptops, tablets, PCs, printers and mainframes
- Electrical and electronic equipment, encompassing power generating equipment, transformers, batteries, solar panels and security equipment
- Motor vehicles encompassing cars, trucks, utes or any other vehicle where the primary use is to be driven on public roads
- Industrial machinery and equipment encompassing forklifts, conveyers, compressors, processing machinery or any other specialised equipment used for the operations of a business or organisation
- Other transport equipment, encompassing trailers, boats, ships, trains, aircraft or any other vehicle used in the transportation of people or goods
- Other equipment, encompassing equipment not elsewhere classified in the categories above.
14.69 Since the 1960s, there has been a steady increase in the use of computers, which in 1997-98 comprised about 12 per cent of capital formation on machinery and equipment. Computers are a relatively short-lived item of equipment and the increase in their use has had the effect of reducing average equipment lives.
14.70 The increased use of computers and the increased lives of motor vehicles have offsetting effects, with the net impact on equipment lives differing between industries according to the relative weights of computers and motor vehicles in their machinery and equipment expenditure. In industries where motor vehicles form a high proportion of machinery and equipment expenditure, such as agriculture, average lives have increased, while for industries such as finance and insurance, where computers form a relatively high proportion of capital formation, average equipment lives have fallen.
Machinery and equipment
14.71 Asset lives are estimated for the six classes of machinery and equipment. In calculating average asset lives, implicit tax lives (based on the inverse of the depreciation rates published in the 1997 Master Tax Guide) are used as a basic source of information. While implicit tax lives may change over time, they are regarded as being of insufficient accuracy to calculate changes in economic lives over time. They are, however, industry based and comprehensive in coverage. In principle they are based on industry information about the actual service lives of machinery and equipment. Nevertheless, information from other sources suggests that tax lives are, in general, shorter than economic lives, and additional sources have been used to estimate the actual economic lives of the various types of machinery and equipment.
14.72 The additional information sources are less comprehensive in coverage than the tax data, so selected items of machinery and equipment have been used to estimate ratios of tax lives to economic lives. The general approach has been to calculate a weighted average tax life for the various types of machinery and equipment employed in each industry, then supplementary sources, such as technical data and information collected from industry sources have been used to estimate the economic lives of assets employed in those industries. The estimates developed by Walters and Dippelsman have been adopted where no new information on economic lives has been available.⁴⁹ A ratio of economic lives to average tax lives has then been calculated. This ratio has been applied to all machinery and equipment employed in the industry to determine an average economic life.
14.73 The ratio of economic lives to tax lives differs between industries. For example, much of the machinery and equipment used in agriculture is similar to machinery and equipment used in mining and construction, and particular items of machinery and equipment, such as tractors, generally have the same prescribed tax life regardless of the industry in which they are employed. However, work practices differ between industries, with machinery and equipment engaged in agriculture generally being used less intensively than similar equipment in the construction or mining industries. Therefore, agricultural equipment can be expected to last longer than similar equipment engaged in construction or mining, and so the ratio of economic lives to tax lives is higher for agriculture than for construction or mining. In some cases, the lives of particular classes of machinery and equipment differ between industries; this is notably so in the case of electrical equipment. In the electricity, gas and water industry, electrical equipment is estimated to have an average life of 30.9 years, compared with an average life of 16.6 years for electrical equipment in other industries. This difference is due to an allowance being made for the longer life of the heavy electrical equipment used in the electricity, gas and water industry.
14.74 Asset lives for machinery and equipment in 1996-97 are reported in the table below for each industry. Due to a lack of information as to whether asset lives have been lengthening or shortening, the asset lives of all categories other than road vehicles and computers are held constant.
14.75 In the case of road vehicles, which constitute over 30 per cent of GFCF on machinery and equipment, average lives have been estimated using data on new vehicle registrations and the age composition of the vehicle fleet. Data are published in New Motor Vehicle Registrations, Australia: Preliminary and Motor Vehicle Census, Australia. For the census years, the number of vehicles of each vintage surviving in the stock has been related to the number of new registrations in the year of manufacture to calculate the percentage of survivals from the respective vintages. The results show a general decline over time as the older vehicles drop out of the stock. The point at which 50 per cent of vehicles manufactured in a particular year remain in the stock gives the median life of vehicles manufactured in that year. For example, if 50 per cent of the vehicles manufactured in 1960 (or more precisely first registered in 1960) remain in the stock in 1972, then this implies that the median life of vehicles manufactured in 1960 is 12 years. This technique has been used to estimate vehicle lives at the census dates, and lives for the intervening years have been calculated by interpolation. It is not possible to precisely calculate mean lives, as a proportion of vehicles have lives exceeding the range covered by the data available. However, analysis of the age distribution suggests that the median is a close approximation to the mean.
14.76 Vehicle lives are estimated using the above approach from 1950. Motor vehicle lives increased from 13.9 years to 18.7 years over the period, 1950 to 1979. It is not possible to measure the median lives of vehicles manufactured until half of them have actually lived out their lifespan and so for recent years this method is not applicable. For recent years a combination of data for the average age of the vehicle fleet and trends in the age profile of the fleet are used to project trends in vehicle lives. It is estimated that the mean life of motor vehicles manufactured in 1997 is 19.9 years.
14.77 The average life of computer equipment is assumed to have gradually declined from 8.5 years in 1960 to 5.4 years in 1997-98. This change is attributed to the decline in the proportion of mainframe computers relative to PCs and the longer lives of the former.
14.78 The table below outlines the mean asset lives (years) for machinery and equipment (excluding weapons systems) by type of equipment and industry.
Industry | Computers & peripherals | Electrical & electronic equipment | Industrial machinery & equipment | Motor vehicles | Other transport equipment | Other plant & equipment |
---|---|---|---|---|---|---|
Agriculture, forestry & fishing | 5.4 | 16.5 | 21.7 | 19.9 | 16.5 | 17.8 |
Mining | 5.4 | 17.8 | 19.9 | 19.9 | 17.8 | 16.5 |
Manufacturing | 5.4 | 13.9 | 15.6 | 19.9 | 13.9 | 12.6 |
Electricity, gas, water & waste services | 5.4 | 30.9 | 20.6 | 19.9 | 18.7 | 17.8 |
Construction | 5.4 | 13.9 | 15.6 | 19.9 | 13.9 | 12.6 |
Wholesale trade | 5.4 | 18.7 | 20.6 | 19.9 | 18.7 | 17.8 |
Retail trade | 5.4 | 18.7 | 20.6 | 19.9 | 18.7 | 17.8 |
Accommodation, & food services | 5.4 | 18.7 | 20.6 | 19.9 | 18.7 | 17.8 |
Transport, postal & warehousing | 5.4 | 18.7 | 20.6 | 19.9 | 18.7 | 17.8 |
Information media, & telecommunications | 5.4 | 15.6 | 17.8 | 19.9 | 15.6 | 14.9 |
Finance and insurance services | 5.4 | 15.6 | 17.8 | 19.9 | 15.6 | 14.9 |
Rental hiring & real estate services | 5.4 | 15.6 | 17.8 | 19.9 | 15.6 | 14.9 |
Professional, scientific and technical services | 5.4 | 15.6 | 17.8 | 19.9 | 15.6 | 14.9 |
Administration & support services | 5.4 | 15.6 | 17.8 | 19.9 | 15.6 | 14.9 |
Public administration & safety | 5.4 | 15.6 | 17.8 | 19.9 | 15.6 | 14.9 |
Education and training | 5.4 | 17.8 | 19.9 | 19.9 | 17.8 | 16.5 |
Health care and social assistance | 5.4 | 15.6 | 17.8 | 19.9 | 15.6 | 14.9 |
Arts and recreation services | 5.4 | 17.8 | 19.9 | 19.9 | 17.8 | 16.5 |
Other services | 5.4 | 17.8 | 19.9 | 19.9 | 17.8 | 16.5 |
Weapons systems
14.79 The ABS has undertaken research on asset lives and retirement functions for each equipment type (aircraft, ships, ground equipment) using asset life information from the Australian Defence Force (ADF).
14.80 The ADF determines the current service life by subtracting the inception date from the planned withdrawal date for different weapon sub classes and this is seen as a suitable estimate of asset lives.
Mean life (years) | ||
---|---|---|
Weapons systems | 27.8 |
Non-dwelling construction
14.81 The estimated average lifespans of non-dwelling construction (including alterations and additions) are given in the table below. These estimates are based on the findings of Walters and Dippelsman.
14.82 These estimates have been checked against data on the age of buildings demolished in the Sydney and Melbourne central business districts over a ten-year period. The Sydney and Melbourne data broadly support the age estimates used by Walters and Dippelsman (1985), giving an average age at demolition of 62 years.
14.83 The short time span for which data are available and the relatively small number of buildings demolished over that period do not permit any significant conclusions to be drawn as to whether building lives have been increasing or decreasing over time. It can be argued, a priori, that as a result of economic and population growth the use of core infrastructure becomes more intensive (i.e. the flow of services from that infrastructure increases) and that, all things being equal, the life span of those facilities would be reduced. However, in the absence of clear empirical evidence to support that proposition, the asset lives used by Walters and Dippelsman have been retained.
Private corporations
14.84 Taxation lives are considered too short and lacking in discrimination between different industries and types of buildings. Unpublished data used in compiling the ABS publication, Building Activity, Australia were obtained showing separately new work and alterations and additions for different types of buildings. Alterations and additions are assumed to have an average asset life about half that of new work in that they can occur at most stages in the life of the primary building. Information on types of other construction for the private sector is obtained from the ABS publication, Engineering Construction Activity, Australia. Estimates are finalised on a subjective basis, taking into account lives used in other OECD countries, accounting estimates, and estimated proportions of new buildings, alterations and additions and non-building construction.
Public corporations
14.85 For public corporations, separate investigations are undertaken for electricity, gas and water; transport and storage; communication; accommodation, cafes and restaurants, cultural and recreational services; and personal and other services. Mean lives for public corporations are also reported separately in the table below. Together, these industries account for around 90 per cent of public corporations GFCF. For other industries, the estimates of private sector asset lives are used.
General government
14.86 Non-dwelling construction consists mostly of offices, schools, hospitals and roads. The average life of total non-dwelling construction is estimated to be 54 years, with new government buildings assumed to have the same average life as private commercial buildings of 65 years. As with private commercial buildings, the evidence as to whether the average lives of buildings are changing over time is inconclusive, and lives are assumed to remain constant over time. For non-dwelling construction on roads the mean asset lives used by Walters and Dippelsman (1985) have been retained.⁵⁰
Dwellings
14.87 The initial estimates used by Walters and Dippelsman have been retained up until 1985. However, recent analysis of demolitions data suggest that asset lives have declined in recent years due to obsolescence likely resulting from increasing land prices and demand for well-located land. The ABS has gradually reduced the asset lives of private brick dwellings from 88.1 years to 70 years and Alterations and additions from 39.5 years to 25 years to reflect changes in the economy over this time.
Ownership transfer costs
14.88 The treatment for ownership transfer costs in the PIM is unique. The cost of ownership transfer is written off over the period during which the acquirer expects to hold the asset. If the expectation is met, the costs of ownership transfers will be entirely depreciated when the asset is resold.
14.89 The table below outlines the mean asset lives (years) for non-dwelling construction, dwellings and ownership transfer costs by industry and institutional sector.
Financial and non-financial corporations | Public non-financial corporations and general government | |||
---|---|---|---|---|
NON-DWELLING CONSTRUCTION | ||||
Agriculture, forestry & fishing | 41.8 | 41.8 | ||
Mining | 29.5 | 29.5 | ||
Manufacturing | 38.6 | 38.6 | ||
Electricity, gas, water & waste services | 55.3 | n.a. | ||
Electricity and gas | n.a. | 37.9 | ||
Water and waste services | n.a. | 71.6 | ||
Construction | 44.5 | 44.5 | ||
Wholesale trade | 50.6 | 38.6 | ||
Retail trade | 50.6 | 38.6 | ||
Transport, postal & warehousing | 40.6 | n.a. | ||
Urban transport | n.a. | 51.9 | ||
Road and rail transport | n.a. | 67.0 | ||
Sea transport | n.a. | 47.5 | ||
Air transport | n.a. | 30.9 | ||
Other transport, postal & storage services | n.a. | 49.1 | ||
Information, media, & telecommunications | 40.6 | 49.1 | ||
Accommodation & food services | 50.6 | 41.7 | ||
Financial & insurance services | 57.3 | n.a. | ||
Rental hiring & real estate services | 57.3 | 57.3 | ||
Professional, scientific and technical services | 57.3 | 57.3 | ||
Administration & support services | 57.3 | 57.3 | ||
Public administration & safety | n.a. | 54.1 | ||
Education & training | 50.6 | 50.6 | ||
Health care and social assistance services | 50.6 | 50.6 | ||
Arts and recreation services | 50.6 | 50.6 | ||
Other services | 50.6 | 50.6 | ||
General government (all industries except Defence and roads) | n.a. | 54.1 | ||
Defence | n.a. | 38.6 | ||
Roads | n.a. | 33.4 | ||
DWELLINGS | ||||
Private brick homes | 70.0 | n.a. | ||
Private timber, fibro and other houses | 58.9 | n.a. | ||
Private non-house dwellings (units, flats, etc.) | 58.9 | n.a. | ||
Private alterations and additions | 25.0 | n.a. | ||
Public | n.a. | 58.9 | ||
OWNERSHIP TRANSFER COSTS | ||||
Dwellings | 17.0 | n.a. | ||
Non-dwelling construction | 30.9 | n.a. |
Cultivated biological resources
Livestock
14.90 Information about mean asset lives of breeding and dairy cattle, and wool producing sheep, were obtained from several industry bodies; namely, Bureau of Rural Sciences; Woolmark Company; Dairy Farmers Corporation; and Meat and Livestock Association. Asset lives used are: breeding cattle stock – mean seven years; dairy cattle – mean ten years; and sheep for wool – mean six years. The same method is used for thoroughbred horses, standardbred horses, other horses and pigs for breeding, due to the limited information available to calculate the asset lives of these biological resources.
Orchard growth
14.91 There are three components of capital estimates, namely, orchard fruit and nut trees, plantation fruit bearing plants, and grapevines. These have different asset lives due to the types of plants.
14.92 The table below outlines the mean asset lives (years) for cultivated biological resources.
Mean life (years) | |
---|---|
Livestock | |
Sheep (wool) | 6.4 |
Dairy | 10.3 |
Breeding cattle | 7.5 |
Thoroughbred horses | 10.3 |
Standardbred horses | 10.3 |
Other horses | 10.3 |
Pigs for breeding | 8.5 |
Orchards | 29.5 |
Plantations | 7.5 |
Grapevines | 40.6 |
Intellectual property products
Research & development
14.93 The value of R&D capital depreciates over time as new innovations emerge. As this occurs, earlier R&D becomes less effective in the production process and contributes less to profitability. Because of the intangible nature of the asset, the decline in value is difficult to measure and most studies use a range of assumptions based on econometric studies or the observed retirement rates for patents. The Australian Industry Commission report on Research and Development (1995) cites work by Mansfield (1973) and Pakes and Shankerman (1978, 1984), suggesting that industrial knowledge depreciates faster than physical capital with little left after 10 years. More recent studies have suggested that the rate of technological change, and consequently the rate of obsolescence, has increased in recent years (Caballero and Jaffe, 1993). Data on patent expiry rates suggest considerably longer asset lives.
14.94 Data compiled by Intellectual Property Australia show that the mean lifespans of standard patents filed in Australia between 1980 and 2001 were between 10 and 13 years. The data are categorised by 'technology group', whereas R&D expenditure data are categorised by industry (to sub-division level). There is no simple correspondence between the technology group classification and the industry classification; however, there are relatively small differences between the mean patent lives for different technology groups. Given the difficulties in producing estimates for individual industries, and the fact that the estimates (based on the patent data) do not differ greatly, a single asset life distribution is used for all R&D in the ASNA. A mean asset life of 11.3 years has been derived from a weighted average of the patent lives of the different technology groups.
14.95 Patent lives do not necessarily represent the lives of all R&D products and, in principle, an adjustment should be made to account for the fact that not all R&D is patented. Although it seems reasonable to expect that non-patented R&D would on average have shorter lives and depreciate faster than patented R&D, empirical estimates based on econometric studies vary greatly (with some of the evidence suggesting a longer life than that estimated from patents). In the United States in 2007, the Bureau of Economic Analysis (BEA) tested four scenarios, with the first scenario based on a 15 per cent annual depreciation rate. The other scenarios were based on more rapid rates of technological change, and consequently more rapid rates of obsolescence. The assumption of shorter economic lives gives greater weight to more recent innovations in the capital stock estimates.
14.96 A mean asset life of 11.3 years is broadly consistent with international results. A recent draft OECD Handbook states that the different approaches to estimating R&D asset lives 'generally indicate that service lives lie between 10 and 20 years'.⁵¹ However, most countries have not committed to an estimate and/or method to be used in their national accounts (the US figures have been used in the BEA's R&D Satellite Account). None of the OECD countries use an asset life significantly shorter than 10 years. For many countries only a depreciation rate is specified, but under a standard double declining balance assumption (that is double that of a straight-line depreciation) they imply similar (or sometimes longer) lives. Given the lack of evidence to the contrary, the ABS has assumed a mean asset life of 11.3 years based on patents data.
Computer software
14.97 It is important to distinguish between the different types of software because they are known to have different asset lives, partly due to the different lives of mainframe and personal computers. The software 'mix' has also been changing over time, in favour of PC-based software.
- In-house and customised software – information has been obtained from academic papers and Gartner research, although empirical evidence is quite weak. For years up to 1988-89, a mean life of eight years has been chosen. From 1989-90, the greater incidence of outsourcing software development, combined with increased technological change, is believed to result in shorter lives, and so a mean life of 6.5 years has been used.
- Purchased (packaged) software – for years up to 1988-89, a mean life of six years has been chosen. From 1989-90, average and maximum lives fall by about 2 years to reflect the impact of greater technological change; thus, average lives fall from 6 to 4.5 years in 1989-90.
Entertainment, literary or artistic originals
14.98 Music – general information about the life cycle of typical Australian music titles is obtained from the Australian Record Industry Association (ARIA). Indications point to an average life of about 3 years. However, detailed information is not obtained from ARIA's membership to verify the accuracy of these indications.
14.99 Film and TV – it is difficult to attribute an asset life to film as little is known about the percentage of films that continue to generate revenue for periods greater than one year, two years etc. However, information from the Australian Film Commission, and from Martin Dale's book The Movie Game - the film business in Britain, Europe and America, indicated that an average life of 3.5 years would be appropriate.
14.100 Literary – information is obtained from the Australian Publishers Association's (APA) booklet, Introduction to Book Publishing, and from enquiries to large publishers. APA recognises that books have a very short life. An average life of 2.7 years was proposed, and there were no objections to this estimate in discussions with experts from the APA and other large publishers. However, the increasing availability of new print technology such as 'print on demand' could redistribute the author's income, and therefore the life of book titles, over a longer period in the future.
Mineral exploration
14.101 Asset lives for mineral exploration are assumed to coincide with mine and oilfield lives. These are derived indirectly using economic demonstrated resources (EDR) from the balance sheets. First, average annual production for each commodity is divided into its EDR to derive the asset life for each commodity. Using exploration expenditure proportions for each commodity as weights, the average lives for the commodities are aggregated to an average mine life for all commodities. The average mine life used for mineral exploration is 34.5 years.
14.102 Mine lives for some commodities, namely black coal, iron ore and uranium, have extremely long asset lives, and are excluded from the calculation to avoid distorting the average life. These items had a much greater proportion of total exploration expenditure in early years, but their inclusion would lead to an unjustifiably strong decline in the overall average life of mineral exploration over time.
14.103 The table below outlines the mean asset lives (years) for intellectual property products.
Mean life (years) | ||
---|---|---|
Computer software | ||
In-house & customised (a) | 6.5 | |
Purchased (b) | 4.5 | |
Artistic originals | ||
Film & TV | 3.5 | |
Music | 2.7 | |
Literary | 2.7 | |
Exploration | 34.5 | |
Research & Development | 11.3 |
a. Prior to 1989-90, the mean life is 8 years
b. Prior to 1989-90, the mean life is 6 years
Asset life distributions
14.104 The PIM is applied at a relatively high level of disaggregation, with each component of GFCF consisting of a large variety of individual assets, each with its own life span. Even within particular types of assets, variations in lives will occur because of differences in the rate of use, maintenance etc. Because of the lack of recent empirical evidence, asset life distribution curves developed by Winfrey in 1938 are used.⁵² The Winfrey S3 is a bell-shaped symmetric curve, with approximately three quarters of assets retiring within 30 per cent of the mean asset life. It is empirically based, related to variations in lives of particular types of assets, and is consistent with the general presumption that the expected life for a particular asset will follow an approximately normal distribution.
Endnotes
Sources and methods - Quarterly
14.105 The PIM measures COFC annually due to its parameters. Linear interpolation and extrapolation are used to estimate quarterly COFC.
Item | Comment |
---|---|
Consumption of fixed capital | The Perpetual Inventory Method measures consumption of fixed capital annually due to its parameters. Linear interpolation and extrapolation are used to estimate quarterly consumption of fixed capital. |
Acquisitions less disposals of non-produced non-financial assets
Introduction
14.106 Acquisitions less disposals of non-produced non-financial assets cover three distinct types of non-produced non-financial assets: natural resources, contracts; leases and licences; and goodwill and marketing assets. At present, estimates of the value of purchased goodwill and marketing assets are not compiled for the ASNA.
14.107 Natural resources include the purchases less sales of land, mineral and energy resources, non-cultivated biological resources, water resources and radio spectra. Land is defined to include the soil covering and associated surface water over which ownership rights can be enforced and from which economic benefits can be derived by their owners. Mineral and energy resources consist of known deposits of coal, oil, gas or other fuels and metallic ores, and non-metallic minerals, etc., that are located below or on the earth's surface, including deposits under the sea. Non-cultivated biological resources consist of animals, birds, fish and plants that yield both once-only and repeat products over which ownership rights are enforced but for which natural growth or regeneration is not under the direct control, responsibility and management of institutional units. Water resources are not included in the ASNA given the data limitations. 2008 SNA states that radio spectra should also be included in natural resources.
14.108 In principle, where transactions in residential and non-residential buildings occur, the land component should be reported separately from the building component. However, in practice, the total sales value is recorded as GFCF. The value of transfer costs involved in the transaction (such as stamp duties, agents' commissions and lawyers' fees) is included in GFCF.
14.109 Contracts, leases and licences includes marketable operating leases, permits to use natural resources, permits to undertake specific activities and entitlement to future goods and services on an exclusive basis. The ASNA includes permits to use natural resources only and the item included is spectrum licences.
14.110 Due of the lack of data, estimates for the purchase of natural resources, and contracts, leases and licences (net) in the ASNA represent only those transactions identified in the accounts of non-residents, general government and public corporations. The net purchases of natural resources, and contracts, leases and licences by non-residents, general government units and public corporations are assumed to equal the net amount of such sales by private corporations, and no entry is shown for households.
Sources and methods - Annual
14.111 The table below outlines the data sources and methods used in the estimation of annual acquisitions less disposals of non-produced non-financial assets by sector in current prices only. Volume estimates are not calculated for acquisitions less disposals of non-produced non-financial assets.
Item | Comment | |
---|---|---|
Non-residents | ||
Estimates are sourced directly from Balance of Payments statistics. | ||
General government | ||
Estimates for General Government are sourced from the Government Finance Statistics. Data are derived from administrative sources such as the Commonwealth Department of Finance State government treasuries and the financial statements of public universities. For local government, a joint ABS/Commonwealth Grants Commission annual return is collected from each local government authority. |
||
Public corporations | ||
Estimates for public non-financial corporations are sourced from Government Finance Statistics and compiled from annual financial statements and Auditors'-General Reports. Estimates for Public Financial Corporation from 2011 and prior is compiled based on the Economic Activity Survey. Post 2011 estimates have been discontinued due to the level of significance. |
||
Households | ||
Household acquisitions less disposals of non-produced non-financial assets are derived by identifying known transactions between the general government sector and household sector using data from Government Finance Statistics. | ||
Private non-financial corporations | ||
Derived as the difference between the total acquisitions less disposals of non-produced non-financial assets for non-residents, general government, public non-financial corporations and households. | ||
Private financial corporations | ||
Not compiled due to the lack of data available. |
Sources and methods - Quarterly
14.112 Quarterly estimates for the acquisitions less disposals of non-produced non-financial assets are published at the national level and in the external account in the ABS publication, Australian National Accounts: National Income, Expenditure and Product. The sectoral dimension is published in the ABS publication, Australian National Accounts: Finance and Wealth.
14.113 The table below outlines the data sources and methods used in the estimation of quarterly acquisitions less disposals of non-produced non-financial assets by sector in current prices only. Volume estimates are not calculated for acquisitions less disposals of non-produced non-financial assets.
Item | Commnet |
---|---|
Non-residents | |
An estimate of acquisitions less disposals of non-produced non-financial assets by non-residents is sourced directly from Balance of Payments statistics. The data included is for leases and the radio spectrum only. | |
Public sector | |
Quarterly estimates of public sector acquisitions less disposals of non-produced non-financial assets are sourced from Government Finance Statistics. Data are derived from administrative sources such as the Commonwealth Department of Finance State government treasuries, , quarterly surveys of local government authorities, public non-financial corporations, and public universities. | |
Households | |
Household acquisitions less disposals of non-produced non-financial assets are derived by identifying known transactions between the general government sector and household sector using data from Government Finance Statistics. | |
Private non-financial corporations | |
Quarterly estimates of private non-financial corporations acquisitions less disposals of non-produced non-financial assets are derived residually, as the difference between the total acquisitions less disposals of non-produced non-financial assets for non-residents, general government, public non-financial corporations and households. | |
Private financial corporations | |
Not compiled due to the lack of data available. |
Capital Transfers
Introduction
14.114 A transfer is defined as a transaction in which one institutional unit provides a good, service or asset to another unit without receiving in return from the latter any counterpart in the form of a good, service or asset. Transfers may be made in cash or in kind and can be divided into current or capital transfers. A capital transfer is one in which:
- ownership of an asset (other than cash or inventories) is transferred from one institutional unit to another (i.e. a capital transfer in kind);
- cash is transferred to enable the recipient to acquire another asset; or
- the funds realised by the disposal of an asset are transferred.
14.115 The first category of capital transfers includes cancellation of liabilities by mutual agreement between creditor and debtor, sometimes known as 'debt forgiveness'. However, writing off debt is not a transaction between institutional units and therefore does not appear in either the capital or financial accounts of the ASNA. The repudiation of debt by a debtor is also not a transaction and is not recognised in the ASNA. Ideally, a debt write-off should be recorded in the other changes in the volume of assets account of the creditor and debtor.
14.116 The second category of capital transfers includes grants made by governments or international organisations to other governments, including grants by one level of government to another. Such grants are recognised as capital grants because the recipients, under the terms of the grants, are required to spend the money on capital projects (i.e. acquisition of non-financial assets). It also includes taxes that are deemed to be capital taxes, which are taxes, such as inheritance and gift taxes, that are non-recurrent and required to be paid only when a specific event (such as the death of the taxpayer) occurs. Capital taxes do not include taxes on sales of assets (e.g. capital gains taxes) as these are not taxes on transfers.
14.117 In the ASNA, examples of capital transfers from the private sector to the public sector include contributions to local government by real estate developers towards the cost of the construction of roads etc. on their subdivisions; contributions by coal companies towards the cost of construction of railway lines; and contributions by businesses and persons towards the cost of erecting power lines on private property.
14.118 Examples of capital transfers from the general government sector to other sectors (i.e. capital grants) include building and equipment grants made by general government to research laboratories, private schools, and university residential colleges, as well as assistance to first home buyers. Capital grants from the Commonwealth government to State and local governments consist of the following:
- general purpose capital grants (untied payments to assist with State and Territory outlays for capital purposes);
- specific purpose grants, which are payments to the States and Territories to meet capital expenditure, the purpose of which is designated by the Commonwealth, and/or which are conditional on States agreeing to undertake particular actions. Some of these grants are passed on by State and Territory governments to local government authorities. Examples of specific purpose grants for capital purposes include grants to the States and Territories for universities and technical colleges, government and non-government schools, teaching hospitals, public housing and roads; and
- direct capital grants to local government authorities.
14.119 The only capital taxes in Australia are inheritance and gift taxes. In the late 1970s, their value started to decline considerably, and they have been insignificant since the mid-1980s.
14.120 Capital transfers to non-residents comprise Commonwealth general government foreign aid in the form of the provision of capital assets. Other transactions, such as debt forgiveness, could also be classified as capital transfers to/from non-residents, as described in Balance of Payments and International Investment Position, Australia: Concepts, Sources and Methods. To date, no such transactions have been identified. When households change their economy of residence, there are changes to the status for the assets they own and liabilities they owe. These changes are recorded as reclassifications through the other changes in volume of assets account.
14.121 Capital transfers also include major payments in compensation for extensive damages or serious injuries not covered by insurance policies. The payments may be awarded by courts of law or settled out of court. Legacies and large gifts from corporations to non-profit institutions to finance GFCF are also included.
Sources and methods
14.122 Capital transfers are compiled using a counterparty model as Balance of Payments and Government Finance Statistics are the only available data sources. Capital transfers received by non-residents are directly observed and compiled by Balance of Payments. Public sector estimates are sourced directly from Government Finance Statistics. These data are reported by capital transfers received and paid by general government (total, national and state and local), public non-financial corporations and public financial corporations.
14.123 Domestically, capital transfers for the private sectors are not measured in their own right. Estimates are therefore compiled using the counterparty public sectors. These estimates are modelled based on Government Finance Statistics estimates of public sector capital transfers paid and received. The model utilises unpublished Government Finance Statistics expense data by counterparty sector. This disaggregation allows for estimates of public sector transfers to all other domestic sectors and subsectors.
14.124 Counterparty sector disaggregation is currently not available for Government Finance Statistics revenue data and therefore assumptions are incorporated for the private sector splits of what capital transfers are received by the public sector. Private non-financial corporations are assumed to account for the majority of transfers to the public sector and are therefore calculated as a residual, with a small allocation apportioned to the household sector to account for transfers from unincorporated enterprises and non-profit institutions serving households.
Sources and methods - Annual
14.125 The tables below outline the data sources and methods used in the estimation of annual capital transfers in current prices only. Volume estimates are not calculated for capital transfers.
Item | Comment |
---|---|
Capital transfers from general government to other sectors | |
Estimates of capital transfers between general government and the other institutional sectors are sourced from the Government Finance Statistics. Data are derived from administrative sources such as the Commonwealth Department of Finance State government treasuries, quarterly surveys of local government authorities, public non-financial corporations and public universities. | |
Capital transfers from other sectors to general government | |
Estimates of capital transfers between general government and the other institutional sectors are sourced from the Government Finance Statistics. Data are derived from administrative sources such as the Commonwealth Department of Finance, State government treasuries, quarterly surveys of local government authorities and public non-financial corporations. |
Item | Comment |
---|---|
Capital transfers to non-residents | |
Capital transfers to non-residents are sourced directly from Balance of Payments statistics. A more detailed description of the sources and methods used to compile these estimates is provided in the ABS publication, Balance of Payments and International Investment Position, Australia: Concepts, Sources and Methods. |
|
Capital transfers from non-residents | |
This is not applicable for Australia. |
Sources and methods - Quarterly
14.126 The table below outlines the data sources and methods used in the estimation of quarterly capital transfers in current prices only. Volume estimates are not calculated for capital transfers.
Item | Comment |
---|---|
Capital transfers | |
|
Quarterly capital transfers are calculated using a matrix-based approach where total public sector capital transfers are disaggregated to obtain capital transfers received and paid for each sector. Capital transfers to non-residents are sourced directly from Balance of Payments statistics. Australia does not receive any capital transfers from non-residents. Quarterly estimates of capital transfers between public and other resident sectors are sourced from the Government Finance Statistics. Data are derived from administrative sources such as the Commonwealth Department of Finance State government treasuries, quarterly surveys of local government authorities and public non-financial corporations. Government Finance Statistics provide a counterparty breakdown of the expense data using source destination classifications (SDCs). SDCs are not compiled for the revenue data, and assumptions are made regarding the counterparty. There exists a small quarterly imbalance between total public sector capital transfers and the counterparty capital transfer flows as they are derived separately. This imbalance is balanced off in households capital transfers receivable, as it is the largest and least accurate capital transfer flow. |
Chapter 15 The financial accounts
The financial account
15.1 This chapter describes the concepts, sources and methods of the financial accounts, and the financial asset/liability components of the balance sheets. To obtain an understanding of ASNA compilation methodology, it is necessary to present both the financial transactions and balance sheets in a single chapter. The compilation of the financial accounts is mainly based on balance sheet information obtained from administrative data and surveys of financial and other institutions. Some transactions and other flows involving financial assets and liabilities are estimated by 'differencing', which involves subtracting opening balance sheet values from closing balance sheet values, and using other information to distinguish transactions from non-transaction flows, such as write-offs and holding gains and losses.
15.2 The financial accounts record information about transactions in financial assets and liabilities between resident institutional units and between resident institutional units and the rest of the world (RoW). The balance sheets provide information about the values of stocks of financial assets and liabilities at particular points in time. Financial accounts statistics are sometimes referred to as 'flow-of-funds' statistics, and it is the final account in the full sequence of accounts to record transactions between institutional units.
15.3 Financial assets and liabilities positions record the values of stocks of financial assets and liabilities. Changes adjusted for valuation and other flows in financial assets positions are recorded under the heading, net acquisition of financial assets, which refers to acquisitions less disposal of financial assets. Changes adjusted for valuation and other flows to liabilities positions are recorded under the heading, net incurrence of liabilities, which refers to incurrence of liabilities less repayments. Each of these major categories can be broken down according to the financial instruments used and the institutional sector and subsectors of counterparties.
15.4 Net lending/borrowing is the balancing item in the capital account. Net lending is the excess of capital finance for capital acquisition, while net borrowing is the existence of a borrowing requirement to finance capital acquisition. The financial account explains how net lending/borrowing is affected by means of changes in the holding of financial assets and liabilities. The sum of these changes (net change in financial position) is conceptually equal in magnitude to the net lending/ borrowing item of the capital account. However, in the ASNA, the use of differing data sources for the two accounts can give rise to significant differences between the two balancing items. These differences are recorded in an item labelled net errors and omissions for each institutional sector.
15.5 Financial accounts are compiled for each institutional sector and indicate how institutional units engage in financial transactions with each other; the surplus resources of one sector can be made available by the units concerned for use by other sectors. The financial account shows how deficit, or net borrowing, sectors obtain the necessary financial resources by incurring liabilities or reducing assets and how the net lending sectors allocate their surpluses by acquiring financial assets or reducing liabilities. The account also shows the relative contributions of various instruments of financial assets and liabilities to these transactions.
15.6 The ASNA compile financial accounts for each sector and for a wide range of subsectors. In these financial accounts, the transactions relate to financial assets and liabilities with other counterparty sectors and subsectors.
15.7 In the national financial account, transactions in financial assets and liabilities with non-residents are shown. This account is identical to the financial account in the balance of payments but presented from the rest of the world point-of-view.
Financial assets | Liabilities and new worth |
---|---|
Net acquisition of financial assets by the rest of the world | Net incurrence of liabilities by the rest of the world |
Net errors and omissions | |
Net lending | |
Changes in financial assets | Changes in liabilities and net worth |
15.8 The quarterly ABS publication, Australian National Accounts: Finance and Wealth contains the following:
- sectoral and subsectoral financial accounts and balance sheets by financial instruments. From the balance sheet and transaction information, it is possible to derive a total of revaluation and other changes in volume estimates;
- twelve financial instrument market tables by nineteen sectors and subsectors issuing/ accepting/ borrowing by counterparties; the presentation is described as within a from-whom-to-whom framework. For these tables, transactions and positions within sectors and subsectors are presented (e.g. authorised deposit-taking institution (ADI) deposits held by other ADIs);
- presentation of detailed institutional sector capital accounts, and corresponding financial accounts. The capital accounts include estimates of net/lending and borrowing. They also include a sectoral net error and omissions item, reflecting the difference between sectoral net change in financial position and net lending and borrowing in the capital accounts;
- a quarterly household balance sheet; and
- a quarterly self-managed superannuation funds balance sheet.
15.9 The financial instrument market tables are produced in a from-whom-to-whom framework, so ASNA could produce the flow of funds matrix as described in 2008 SNA.⁵³ Similar matrices (financial stocks) are used as the foundation to construct interest and dividend matrices to produce interest and dividend flows in the ASNA.
Endnotes
Financial assets and liabilities
15.10 Financial assets, for the most part, represent a contractual claim on another institutional unit (resident or non-resident) and entitle the holder to receive an agreed sum at an agreed date, with the exception being shares. Shares are treated as financial assets even though the financial claim their holders have on the corporation is not a fixed or predetermined monetary amount. Liabilities are the counterparts of financial assets and there are no non-financial liabilities recognised in the 2008 SNA; thus, the term 'liability' necessarily refers to a liability that is financial in nature.
15.11 The acquisition of a financial asset by an institutional unit involves a counterpart liability on the part of another institutional unit. Monetary gold is treated as a financial asset even though the holders do not have a claim on other designated units.⁵⁴ Because of the symmetry of financial claims and liabilities, the same classification is used to portray both assets and liabilities in the financial accounts and balance sheets. The ASNA adopts the 2008 SNA term "instrument" to relate to the asset or liability aspect of an item in the financial account and balance sheet.
15.12 The ASNA financial instrument classification follows that recommended in 2008 SNA with some adaptation to suit the Australian financial environment and ASNA compilation practices:
- where additional classification points are employed to provide more detail for debt securities to show "domicility" of securities (issued in Australia or issued offshore);
- to discriminate short-term securities between bills of exchange (three name paper) and other securities (one name paper);
- where the 2008 SNA instrument classification embeds counterparty sector information which ABS believes more properly belongs to the sector classification; for example, inter-ADI positions and investment funds shares and units; and
- because of lack of data or workload considerations, for example, there is no discrimination between shares and other equity.
15.13 The ASNA financial assets and liabilities are classified according to financial instruments as follows:
- monetary gold and SDRs;
- currency;
- transferable deposits and other deposits;
- short-term securities;
- long-term securities;
- short-term loans;
- long-term loans;
- derivatives;
- shares and other equity;
- insurance technical reserves; and
- trade credits and advances and other accounts receivable and payable.
15.14 The system also includes a sector and subsector classification of financial assets and liabilities, which categorises financial claims according to the sectors and subsectors of counterparties. Counterparties are the institutional units on which claims are held by creditors, and the institutional units holding claims against debtors.
15.15 Financial assets and liabilities attributable to foreign direct investment are not recorded separately within financial instrument categories.
15.16 Financial claims can be disaggregated into negotiable and non-negotiable instruments. A claim is negotiable if its legal ownership is readily capable of being transferred from one unit to another unit by delivery or endorsement. While any financial instrument can potentially be traded, negotiable instruments are designed to be traded on organised markets (such as the stock exchange) and other informal markets (often referred to as over-the-counter markets). Negotiability is a matter of the legal form of the instrument. Those financial claims that are negotiable are referred to as securities and include shares and debt securities.
Endnotes
Valuation of transactions and stocks of financial assets and liabilities
Transactions
15.17 In the financial accounts, transactions are recorded at the value actually exchanged; that is, market value. Exchange of value implies a change of ownership of an asset, and this is a central principle in classifying a change in value to either a transaction or other economic flow. Examples of changes of ownership include purchase/sale of shares, issue/take up of debt securities, deposit of cash in an ADI, and provision of funds in exchange for a mortgage for a housing loan. In the case of the financial accounts these transactions take place in formally organised financial markets (such as the stock exchange) or in informally organised markets (often referred to as over-the-counter markets), such as the market for ADI deposits.
15.18 The market value may differ from the contractual value of claims arising from the transaction. Examples include the sale value of shares compared to the par value of the shares, or the proceeds value of a debt security issue rather than the nominal value of the debt securities.
15.19 Transaction values are recorded without deducting transaction costs such as brokerage fees or commissions. This ensures that debtors and creditors record the same amount for the financial instrument. Such fees or commissions are treated as sales of services, which are current account transactions rather than financial account transactions. The valuation of financial instruments (excluding commission charges) differs from the valuation of non-financial assets, which includes any cost of ownership transfer.
15.20 The payments required under a contract relating to financial assets and liabilities almost always represent more than one transaction in the sense used in the 2008 SNA. Payments of interest on loans and deposits, as specified by financial institutions, involve both interest and a service fee, which is the service payment to the financial institution for making the loan available, or safeguarding the deposit. For some financial instruments, such as bonds, the increase in value over time is taken to represent interest, not simply a price increase in the value of the asset. Therefore, the value of the transactions in financial instruments recorded in the financial account excludes these service charges and interest payments.
15.21 The exchange of value is recorded on an accrual basis; that is, in the period when ownership changes. This may be different to when cash relating to the transaction is paid or falls due for payment. For example, an enforceable contract for the purchase/sale of shares comes into existence when a deal is struck on the stock exchange. This has to be settled two days later, and the settlement date may be in a different quarter to when the deal was made, giving rise to a further financial claim in the form of an account payable/receivable to bridge the settlement period.
15.22 Exchanges of financial assets are requited in the sense that the provision of a resource (say cash) is exchanged for an obligation or claim (share, deposit account balance, debt security or mortgage documentation). These claims are legally enforceable according to general commercial law or specific agreements between the parties. In some cases, the legal nature of the transaction and the economic effect of the transaction may be different. The 2008 SNA makes a small number of exceptions to the legal change of ownership principle to an economic change of ownership basis. For the financial accounts, the major exception is financial leasing, where the legalities of the transaction are modified such that the leased asset is deemed to have been sold to the lessee in exchange for a loan, or the financial lease. Commercial accounting standards also treat financial leasing in this manner.
15.23 Transactions for any particular class of transactor are recorded on a net basis in the financial accounts. For example, ADI deposit transactions are the net of new deposits less withdrawals, transactions in shares are the net of purchases and sales. For some economic analysis, the components of net transactions are of interest, and there are some limited data on gross transactions available on request, such as new share issues.
Stocks, revaluation and other changes in volumes
15.24 Stocks of financial assets and liabilities are valued using prices that are current on the date to which the balance sheet relates and that refer to specific assets. These prices should be observable prices on markets whenever such prices are available. In practice, there are some cases where the prices of analogous assets are used to estimate prices for assets where there are no observable prices.
15.25 A key principle for 2008 SNA, as outlined above, is to record financial transactions and stock at market valuation. A consequence of this is the role that the Revaluations account has in reconciling price changes in financial assets and liabilities during a period with stock values at the end of each period.
15.26 Revaluations occur when the price of financial assets and/or liabilities changes causing an increase or decrease in the stock value. Revaluations are an economic flow that does not result from a change of ownership. Examples of the causes of revaluation are share price changes and the impact of exchange rate changes on assets denominated in foreign currency. While not transactions, revaluations have a significant impact on stock values from period-to-period and may have a significant impact on economic behaviour. For example, the run-down in valuation of superannuation assets in response to a fall in the price of shares may result in employees deferring retirement.
15.27 Values of stocks of financial assets and liabilities may change over time through causes other than transactions and price changes. These changes in value are classified as Other changes in volumes (OCV). For financial assets and liabilities, the most significant OCV result from phenomena such as bad debt write-offs or corporate failures. In such cases, it is often difficult to distinguish between price changes (debt write down, share price fall) and OCV. In practice, the ASNA combines the known OCV with revaluations to account for non-transaction changes in stock value for financial assets and liabilities.
15.28 OCVs also record statistical artefacts; for example, sectoral classification changes that might occur through privatisation of a public sector corporation. Although the change in classification may be the result of transactions (such as share sales), treating the reclassification of all the assets and liabilities represented by the share value as transactions is not a satisfactory explanation of what has occurred. Another statistical artefact arises in discontinuities in time series that arise because of the workloads involved in maintaining consistency over the full period of long time series. At some point in the time series, the inconsistency in treatment between opening and closing stocks will be allocated to OCV, rather than being allowed to contaminate the transaction series.
15.29 See Chapter 16 for more information on revaluation and other changes in volumes.
Institutional sectors and subsectors in the financial accounts
15.30 The institutional sector classification used in the financial accounts and balance sheets is the same as that used in the rest of the ASNA and the SESCA:
- non-financial corporations;
- financial corporations;
- general government;
- households (including non-profit institutions serving households); and
- rest of the world.
15.31 In the financial accounts and balance sheets, the non-financial corporations, financial corporations and general government sectors are broken down into subsectors, as shown below:
- Non-financial corporations
- Private
- Non-financial investment funds
- Other private non-financial corporations
- Public
- Private
- Financial corporations
- Central bank
- Authorised deposit-taking institutions (ADIs)
- Other broad money institutions
- Pension funds
- Life insurance corporations
- Non-life insurance corporations
- Money market financial investment funds
- Non-money market financial investment funds
- Central borrowing authorities
- Securitisers
- Other financial corporations
- General government
- National
- State and local.
15.32 The institutional sector and subsector classification shown above is also used to classify the counterparty transactions and positions shown for each institutional sector and subsectors. Chapter 4 provides a description of the sectors and subsectors used in the financial accounts.
15.33 As financial transactions and other flows take place between institutional units, and financial positions are held between institutional units, the transactions, flows and positions are classified to the sectoral classification twice, once from the asset holder's point of view and the other from the liability issuer's point of view. For example, household deposits with ADIs are classified to household sector assets and ADI sector liabilities as a party/counterparty pair. The double classification is applied symmetrically for parties and counterparties to flows or positions.
15.34 In the formal sectoral presentation of the financial accounts, all transactions and positions between entities in the same subsector or each successive aggregation of subsectors is eliminated. Consider an ADI that incurs a deposit liability and in turn places the funds on deposit with another, but unrelated, ADI. The question of ''what is the value of ADI sector deposits'' is most properly answered from a sectoral behaviour point of view by consolidation (elimination) of the intra-ADI sector deposits. One consequence of this type of consolidation is that aggregation of subsectors to broad sectors, say all subsectors of the financial corporations sector, will produce a lower aggregate value for a particular transaction category than the simple summation of the components. Consolidation of financial accounts for all domestic sectors to a whole of economy aggregate will result in an exact counterpart to the Rest of World accounts.
15.35 For some types of economic analysis, the formal sectoral consolidation has some drawbacks. For financial market analysis, say, for determining potential for issuing various instruments, it is useful to know the gross rather than net size of the market. The entries eliminated in the example given above are thus retained for the financial accounts presentation of financial instrument markets data. The ADI deposits markets table will disclose the value of ADI deposits with ADIs.
Overview of sources and methods
Introduction
15.36 The compilation of the financial accounts and financial balance sheets are mainly based on administrative data collected by the Australian Prudential Regulation Authority (APRA) under the Financial Sector (Collection of Data) Act 2001, and ABS statistical surveys. Of particular importance are the ABS Survey of Financial Information (SFI) and the Survey of International Investment (SII), both of which are conducted quarterly. Other data sources are used to supplement the ABS and APRA sources, such as market capitalisation for different sector and subsector share issuance from the Australian Securities Exchange; information on Commonwealth Government from ledgers obtained from Government Finance Statistics; and bond price indexes from private financial market analysts.
Data sources for sectors and subsectors
Non-financial investment funds
15.37 Balance sheet information:
- from the ABS Survey of Financial Information – Non-Market Investment Funds; and
- supplementary counterparty and market capitalisation information from the Australian Securities Exchange (ASX), annual company reports and the ABS Survey of International Investment.
Other private non-financial corporations
15.38 Balance sheet information:
- from the ABS Survey of Financial Information – Non-Market Investment Funds; and
- supplementary counterparty and market capitalisation information from the Australian Securities Exchange (ASX), annual company reports and the ABS Survey of International Investment
Public non-financial corporations
15.39 Balance sheet information:
- from the ABS Survey of Financial Information – Government and Other Entities; and
- supplementary counterparty information from Central Borrowing Authorities (CBAs), the ABS Survey of International Investment and annual reports of State and Territory housing authorities.
Central bank
15.40 Balance sheet information:
- from the ABS Survey of Financial Information – Reserve Bank of Australia (RBA); and
- supplementary counterparty information from the ABS Survey of International Investment.
Authorised deposit-taking institutions
15.41 Balance sheet information:
- from the suite of returns submitted by banks, credit unions and building societies under the monthly APRA Economic and Financial Statistics (EFS) collection; and
- supplementary counterparty information from the ABS Survey of International Investment.
Other broad money institutions
15.42 Balance sheet information:
- from the suite of returns submitted by Registered Financial Corporations (RFCs) under the monthly APRA Economic and Financial Statistics (EFS) collection (only units with total assets greater than $50 million are required to submit a return to APRA); and
- supplementary counterparty information from the ABS Survey of International Investment.
Pension funds
15.43 Balance sheet information:
- from returns submitted by registrable superannuation entities under the quarterly APRA Superannuation Reporting Standards (SRF 320.0 Statement of Financial Position) and;
- from annual returns submitted by regulated self-managed superannuation funds to the Australian Taxation Office (ATO), to which the ABS-modelled quarterly estimates are benchmarked.
Life insurance corporations
15.44 Balance sheet information:
- from the ABS Survey of Financial Information – Life Insurance Companies and Friendly Societies; and
- supplementary information for total assets submitted under the quarterly APRA Statement of Financial Position.
Non-life insurance corporations
15.45 Balance sheet information:
- from returns submitted by private general insurers under the quarterly APRA Statement of Financial Position – General Insurance;
- from the ABS Survey of Financial Information – Government and Other Entities for public insurers; and
- from the quarterly APRA private health insurance statistics publication
Money market investment funds
15.46 Balance sheet information from the ABS Survey of Financial Information – Money Market Funds.
Non-money market investment funds
15.47 Balance sheet information from:
- the ABS Survey of Financial Information – Non-Money Market Funds;
- Supplementary counterparty information from market capitalisation information from the Australian Securities Exchange, and the ABS Survey of International Investment; and
- counterparty information from domestic investors (such as pension funds, life insurance corporations and other investment funds) of wholesale trusts with assets of wholesale trusts modelled using the ABS Survey of Financial Information – Investment Managers.
Central borrowing authorities
15.48 Balance sheet information:
- from the ABS Survey of Financial Information – Government and Other Entities;
- quarterly data on semi-government bonds on issue from State government Treasury Corporations; and
- supplementary counterparty information from ADIs and the ABS Survey of International Investment.
Securitisers
15.49 Balance sheet information from:
- the ABS Survey of Financial Information – Securitisers; and
- supplementary counterparty information from the ABS Survey of International Investment.
Other financial corporations
15.50 Balance sheet information:
- for financial auxiliaries, from the ABS Survey of Financial Information – Investment Managers;
- for public sector units, from the ABS Survey of Financial Information – Government and Other Entities; and
- supplementary counterparty and market capitalisation information from the Australian Securities Exchange (ASX); ADIs; securitisers; Sydney Futures Exchange (SFE); and the ABS Survey of International Investment.
National general government
15.51 Balance sheet information from:
- the ABS Survey of Financial Information – Government and Other Entities;
- Commonwealth government ledgers from Government Finance Statistics (GFS);
- Australian Office of Financial Management (AOFM); and
- supplementary counterparty information from the RBA; ADIs; and the ABS Survey of International Investment.
State and local general government
15.52 Balance sheet information from:
- from the ABS Survey of Financial Information – Government and Other Entities;
- State and local general government balance sheet estimates from Government Finance Statistics (GFS); and
- supplementary counterparty information from central borrowing authorities, National general government and ADIs.
Households
15.53 Information from:
- supplementary counterparty information from RBA; ADIs; securitisers; National general government; and the ABS Survey of International Investment;
- residual allocation of transactions and holdings of securities; and
- allocation of insurance technical reserves from compilation models.
Rest of the World
15.54 Balance sheet information from:
- from the ABS Survey of International Investment; and
- supplementary counterparty information from domestic sectors (such as pension funds, life insurance corporations and non-money market investment funds).
Data issues
Undercoverage of some sectoral data
15.55 There is no balance sheet source data from small non-financial corporations; solicitors and similar trust funds; and financial auxiliaries (such as stockbrokers), some of which buy securities on their own account.
''Exposure accounting'' or ''hedge accounting''
15.56 Certain market practices result in commercial accounting data that are difficult to interpret within a 2008 SNA accounting framework. Under 'exposure' or 'hedge' accounting, the emphasis is on the net effect of various contractual obligations on profits and net worth; the practice is extended by bundling together contracts associated with a particular deal or strategy, and recording the net results at that level of detail.
15.57 This accounting practice for contracts involves foreign-exchange risk. An example is the issue of debt security liabilities which are (a) denominated in US dollars; (b) issued to investors in the USA; and (c) bundled with the contracts hedging foreign currency risk, such as a USD-AUD derivative, negotiated with an Australian bank. The outcome of this bundling is that there is no foreign currency exposure resulting from the combination. The problem that bundling poses for recording in the financial accounts is that it is netting two contracts with different contractual parties in different sectors. In this example, they are in different countries where one contract is a liability, and the other is in an asset position potentially. The bundled result cannot be sensibly aggregated with any particular asset class or under any sector classification, and, hence, cannot contribute usefully to economic analysis.
15.58 Another example of bundling of contracts for a net result is the notion of structured finance, where various combinations of debt, equity and derivatives can be bundled to give a tailored outcome, quite often associated with tax effective outcomes. The results can also be represented as ''hybrid'' or ''synthetic'' securities. Another practice with similar aims is ''stapled securities''.
15.59 For the financial accounts, the data in respect of structured products, bundled products and contracts reported under exposure methods is to unbundle and classify the components on the basis of the legalities of the situation, not the economic effect. The overall economic effect of such contracts will be reflected in the aggregate balancing items in the national accounts, reflecting accurately the operating surplus; property income flows; financial transactions; revaluations and net worth that result and also provide the basis for how those outcomes evolved.
Compilation methodology
15.60 Most of the information obtained from the APRA collections and surveys is financial balance sheet information. It is used to estimate sectoral (and subsectoral) transactions and stocks of financial assets and liabilities by financial instrument and counterparty:
- The compilation methodology ensures that the most reliable estimates are used. As the APRA collections and surveys collect information from both parties to a financial transaction, a choice is often possible because the different data sources provide alternative or counterpart measures of the same item. For example, private non-financial corporation loans data collected from ADIs is used and not the estimates collected for private non-financial corporations from the ABS Survey of Financial Information.
- In many cases, financial transactions are derived by taking the difference between closing and opening levels of balance sheet items and, where possible, eliminating the component of the change caused by valuation effects such as exchange rate movements and changes in financial instrument prices. For example, the opening stock of securities denominated in foreign currencies (which is reported in Australian dollars) is first revalued using the exchange rates prevailing at the end of the period. The recalculated opening stock is subtracted from the reported closing stock to obtain an estimate of the value of transactions (in Australian dollars). The estimated value of transactions is then subtracted from the difference between the actual reported opening and closing stocks to obtain an estimate of the valuation effect.
- Some transactions are recorded using directly collected data. Most of the estimates of transactions involving non-residents are based on directly collected data from the Survey of International Investment.
- In some cases, it is possible to undertake validation for some estimates. After the initial estimates of stocks and transactions have been prepared, estimates of valuation changes are calculated as a residual. These estimates are then used to test the plausibility of the initial estimates of stocks and transactions and, if necessary, adjustments may be made to these initial estimates.
- The compilation methodology ensures that the best estimates for rest of the world assets and liabilities are used. A data confrontation process selects the best estimates amongst the ABS Survey of Financial Information (SFI); the APRA administered collections; and the ABS Survey of International Investment. Estimates for some sectors are derived from SFI and APRA data over the ABS’ Survey of International Investment, for example, pension funds and life insurance corporations. A balancing process is undertaken to ensure that the major aggregates (such as Australia's international investment position) and sub-aggregates derived in the ASNA are the same as is published in Balance of Payments and International Investment Position, Australia.
ASNA financial accounts and balance sheets divergence from 2008 SNA
Creditor and debtor principle to valuing debt securities
15.61 The 2008 SNA recommends that interest on debt securities be recorded in accordance with the ''debtor principle''. Under this principle, interest payments are the contractual payments evidenced by the ''coupon'' payable in these contracts. To the extent that coupon interest is not aligned with market yields, the market value of the debt securities will adjust downwards if coupon is less than market yield, and upwards if coupon is greater than market yield. There are some difficulties implementing the debtor principle for securities where the contractual interest is variable through referencing external indicators.
15.62 The alternative to the debtor principle is to use market values and interest yields consistently, which is called the ''creditor principle''. The creditor principle is conceptually coherent, and it also copes with variable interest instruments. If market valuations of debt securities' stocks are undertaken (as recommended by the 2008 SNA) by discounting future cash flows by the prevailing interest rate, then it makes sense to use the same interest rate to value the associated flows, including interest transactions. Using another interest rate (e.g. the rate at the time the debt instrument was issued) to calculate interest transactions would mean that stocks and flows are calculated using different prices. The adjustment in value of debt securities is seen as a financial transaction (new issue if value increases and repayment if value decreases) under this scenario. Sometimes, interpretation of creditor principle data conflicts with an interpretation derived from accounting standards; for example, debt value and interest expenditure can change not through the activity of debt issuers (such as government) but by variations in the market. The ASNA applies the creditor principle in the national accounts, including the financial accounts.
Repurchase agreements
15.63 A repurchase agreement (repo) involves the sale of securities or other assets with a commitment to repurchase equivalent assets at a specified date. The buyer may on-sell these securities to another party. The 2008 SNA treats repos as collateralised loans, or as other deposits if repos involve liabilities classified under national measures of broad money. The collateralised loan treatment is not supported by the ABS. The ABS maintains that the best statistical representation of a repo is that of a sale of securities, with the obligation to sell/buy-back similar securities recorded as a forward contract; that is, a form of derivative. This treatment has the advantage of unduplicated recording of securities assets whereas the collateralised loan approach requires recording of negative security assets to maintain equality between total securities' asset holdings and total securities' liabilities on issue. The ASNA treatment will impact on compositional aspects (e.g. securities versus loans, classification of asset holders) but will have no impact on analytical aggregates (e.g. net assets, net lending/borrowing).
Valuation of loans and placements
15.64 Financial institutions make a general provision for loan losses based on known characteristics of the loan portfolio and its performance over time. Because the provision is general, the specific loan contracts and the counterpart liability incurred are not identifiable, making it conceptually difficult to record such a provision in the 2008 SNA accounting structure. By contrast, specific provisions for impairment arising from poor performance (non-performing) of an individual loan contract are more certain as to likely occurrence and counterparty identification.
15.65 The 2008 SNA recommends valuation of loans in the balance sheet at nominal value, with non-performing loans identified and two memorandum items concerning them included in the balance sheet of the creditor. The first is the nominal value of the loans so designated, including any accrued interest and service charges. The second is the market equivalent value of these loans.
15.66 The ABS considers that market valuation of loans or a close approximate should be recorded in order to maintain consistency regarding the valuation of all financial instruments. The ASNA takes into account specific loan loss provisions in valuing loan portfolios and their counterparts, and, as a result, the closest approximation to market value or fair value is recorded in the ASNA. The ASNA does not take account of general loan loss provisions. Valuation of loans at nominal values is produced in supplementary tables in the ASNA.
Monetary gold
15.67 The 2008 SNA definition of monetary gold is gold to which the monetary authority has title and is held as reserve assets. All monetary gold is included in reserve assets or is held by international financial organisations and is treated as a financial asset even though the holders do not have a claim on other designated units.
15.68 The ASNA treatment of monetary gold departs slightly from the treatment outlined in the 2008 SNA in that a liability of the rest of the world is imputed. The reason for not adopting the 2008 SNA treatment is to preserve consistency with the international investment position (IIP) for Australia within the Financial Accounts. The IIP according to BPM6 permits recording of assets in the form of monetary gold as assets of the domestic economy (i.e. external claims). In re-presenting external claims data in a 2008 SNA framework, the major presentation is to show cross-border positions as assets and liabilities of rest of world. The external assets of BPM6 are thus represented as foreign liabilities, and external liabilities are represented as foreign assets in the financial accounts. The international investment position — external assets less external liabilities — should be derivable from the Rest of World accounts in the ASNA; that is, foreign liabilities less foreign assets. Omitting monetary gold from liability positions of the rest of the world will not produce this result. This treatment in ASNA has been adopted mainly to minimise confusion among the users of the statistics.
Holding companies
15.69 A holding company is a unit which holds the assets of subsidiary corporations but does not undertake any management activities. According to 2008 SNA, such units receive the sectoral classification of captive financial institutions and money lenders. This treatment would result in the creation of additional enterprises in situations where there are currently no financial intermediary enterprises in the group. The ASNA treatment for holding companies in the financial accounts and balance sheets is that they receive a sector classification reflecting the major economic activities of the controlled entities.
Financial instruments
Monetary gold and SDRs
Monetary gold
15.70 The 2008 SNA defines monetary gold as gold to which the monetary authority has title, and that is held as reserve assets by a central bank or another authority.⁵⁵ It comprises bullion held in allocated gold accounts; other bullion; and unallocated gold accounts with non-residents, giving title to claim delivery of that gold. All monetary gold is included in reserve assets or is held by international financial organisations. Only gold that is held as a financial asset (and as a component of foreign reserves) is classified as monetary gold. Gold can be a financial asset only for the central bank or central government, except in limited institutional circumstances. In the 2008 SNA, gold bullion held as a reserve asset is the only financial asset with no corresponding liability.
15.71 The ASNA treatment of monetary gold differs slightly from the treatment outlined in the 2008 SNA, in that a liability of the rest of the world is imputed. All other gold held is treated as a physical commodity and is classified as either valuables (if the sole purpose is a store of wealth), or as final or intermediate consumption; change in inventories; and exports or imports.
Special Drawing Rights (SDRs)
15.72 SDRs are international reserve assets created by the International Monetary Fund (IMF) and allocated to its members to supplement existing reserve assets. The Special Drawing Rights Department of the IMF manages reserve assets by allocating SDRs among member countries of the IMF, and certain international agencies (collectively known as the participants).
15.73 The mechanism by which SDRs are created (referred to as allocations of SDRs) and extinguished (cancellations of SDRs) gives rise to transactions. These transactions are recorded at the gross amount of the allocation. They are recorded in the financial accounts of the monetary authority or government of the individual participant on the one hand, and the rest of the world, representing the participants collectively on the other hand.
15.74 SDRs are held exclusively by official holders, which are central banks and certain other international agencies, and are transferable among participants and other official holders. SDR holdings represent each holder's assured and unconditional right to obtain other reserve assets, especially foreign exchange, from other IMF members. SDRs are assets with matching liabilities but the assets represent claims on the participants collectively and not on the IMF. A participant may sell some or all of its SDR holdings to another participant and receive other reserve assets, particularly foreign exchange, in return.
15.75 In Australia, the SDR allocation is recorded by the central government, and the SDR asset is recorded by the Reserve Bank of Australia. The RBA has a deposit liability to the central government.
Sources and methods - quarterly
15.76 The table below outlines the data sources and methods used in the estimation of quarterly monetary gold and SDRs in current prices. Real estimates are calculated for the national balance sheet.
Item | Comment |
---|---|
Monetary gold | |
In Australia, only the Reserve Bank of Australia (RBA) has dealings in monetary gold with the Rest of the World. Source data for monetary gold are based on RBA estimates reported in the ABS Survey of International Investment. When gold is sold (or purchased) by the RBA:
|
|
SDRs | |
In ASNA, SDRs transactions are carried out by National general government with the International Monetary Fund, and National general government exchanges the SDRs with the RBA for cash. SDR liabilities are recorded against the National general government and rest of the world. SDR assets are recorded for the RBA and the rest of the world. Source data for SDRs are based on RBA estimates reported in the ABS Survey of International Investment. |
Endnotes
Currency
Definition
15.77 Currency consists of notes and coins that are of fixed nominal values and are issued or authorised by the central bank or government. A distinction is drawn between domestic currency — which is the liability of resident units, such as the central bank and central government — and foreign currencies that are liabilities of non-resident units, such as foreign central banks, other banks and governments.
15.78 For Australia, the currency asset refers solely to domestic currency. There is little foreign currency in general circulation, and significant holdings are classified as foreign deposits.
15.79 Notes and coins are treated as liabilities at full face value. The cost of producing the physical notes and coins is recorded as government expenditure, and not netted against the receipts from issuing the currency.
Sources and methods – quarterly
15.80 In the currency market, all sectors and subsectors can hold currency as assets. In the ASNA, the RBA and the national general government sectors issue domestic currency, with the RBA issuing notes and the national general government issuing coins.
15.81 The table below outlines the data sources and methods used in the estimation of quarterly currency by sector in current prices. Real estimates are calculated for the national balance sheet.
Item | Comment |
---|---|
Reserve Bank of Australia | |
Data for total notes accepted by the Reserve Bank of Australia (RBA) are obtained from the balance sheet information from the ABS Survey of Financial Information – Reserve Bank of Australia. The counterparty asset holders for notes (excluding other private non-financial corporations and households are obtained from the suite of balance sheet forms from the ABS Survey of Financial Information and the APRA Economic and Financial Statistics (EFS) collection. A residual asset holding of the notes is calculated as total liabilities less the sum of total assets held (from the ABS and APRA forms). The residual is split equally between other private non-financial corporations and households. |
|
National general government | |
Data for total coins accepted by the National general government is obtained from balance sheet information from Commonwealth government ledgers through the Department of Finance. The total coin assets are held outside the banking system and are split equally between other private non-financial corporations and households. |
|
Rest of the world | |
The main data source for total currencies accepted by the rest of the world and the respective counterparty asset holders are obtained from the ABS Survey of International Investment. |
Deposits
Definition
15.82 The 2008 SNA does not provide a precise definition of a deposit. As a result, the distinction between deposits and loans in the ASNA is made by the convention that deposit liabilities can only be incurred by institutions included in RBA broad money, and therefore their asset counterpart is similarly restricted. Additionally, the conventions are adopted that all account balances (not evidenced by a security) between broad money institutions are classified as deposits or withdrawable share capital of building societies and that all domestic non-security borrowings by broad money institutions are classified as deposits are adopted. There are some classes of financial asset that may be described as deposits as a result of these conventions, such as account balances at State Treasuries, but which are classified as loans in the ASNA.
15.83 It follows from the convention above that deposit liabilities can only be incurred by institutions included in RBA broad money. The following financial institutions should therefore be classified as deposit taking in ASNA: the RBA; banks; credit unions; building societies; cash management trusts; and registered financial corporations. There have been minor changes to the definition of deposit-taking institution with the implementation of 2008 SNA in the ASNA. For example, cash management trusts are no longer included as deposit-takers. The units issued by cash management trusts were previously classified as deposits and are now classified as equity in money market investment funds.
15.84 In the ASNA, deposits are further classified into transferable deposits and other deposits.
Transferable deposits
15.85 Transferable deposits comprise all deposits that are exchangeable for banknotes and coins on demand — at par and without penalty or restriction — and are directly usable for making payments by cheque, draft, direct debit/credit, or another direct payment facility. A transferable deposit cannot have a negative value. For example, a bank current (or checking) account is normally treated as a transferable deposit but, if overdrawn, the withdrawal of funds to zero is treated as the withdrawal of a deposit, and the amount of the overdraft is treated as the granting of a loan.
Other deposits
15.86 Other deposits comprise all claims that are represented by evidence of deposit, other than transferable deposits. Typical forms of deposits that should be included are savings deposits (which are always non-transferable), fixed-term deposits and non-negotiable certificates of deposit. Deposits of limited transferability that are excluded from the category of transferable deposits are included here. Claims on the IMF that are components of international reserves, and not evidenced by loans, are recorded in other deposits. Repayable margin payments in cash related to derivative contracts are included in other deposits only when the counterparty is a broad money institution; otherwise, they are included as loans.
Sources and methods - quarterly
15.87 Deposits data in the ASNA is compiled for both 'Transferable Deposits' and 'Other Deposits'. Data sources defined below have available detailed information on the type of deposit accounts allowing a clear distinction between those of a short-term and long-term nature.
15.88 The ASNA does not make a distinction between deposits and loans for balances and transactions between ADIs. For practical reasons, all balances and transactions related to deposits and loans between such institutions are classified as deposits. Similarly, most liability account balances of ADIs which are not evidenced by a security are treated as deposits. This treatment is not extended to the rest of the world. The ABS Survey of International Investment provides clear direction for institutions to report their loans and deposits in the survey form.
15.89 The table below outlines the data sources and methods used in the estimation of quarterly deposits by sector in current prices. The estimates are derived at face value. Real estimates are calculated for the national balance sheet.
Item | Comment |
---|---|
Reserve Bank of Australia | |
The main source of data for total deposits accepted by the Reserve Bank of Australia (RBA) and the respective counterparty asset holders are obtained from the ABS Survey of Financial Information – Reserve Bank of Australia. | |
Authorised deposit-taking institutions | |
Data for total deposits accepted by ADIs and other broad money institutions are obtained from the balance sheet information from the from the APRA Economic and Financial Statistics (EFS) collection., submitted by banks, building societies, credit unions and registered financial corporations. The counterparty assets holders for deposits excluding other private non-financial corporations are obtained from the suite of balance sheet forms from the ABS Survey of Financial Information; the APRA Economic and Financial Statistics (EFS) collection; the ABS Survey of International Investment; and quarterly returns for self-managed superannuation funds to the ATO. A residual asset holding of deposits is calculated as total liabilities (acceptances) less the sum of total assets held (from the ABS, APRA and ATO forms). The residual is allocated to other private non-financial corporations. |
|
Rest of the world | |
The main data source for total deposits accepted by the rest of the world and the respective counterparty asset holders are obtained from the ABS Survey of International Investment. |
Debt securities
15.90 A debt security is a negotiable instrument that does not entitle the holder to participate in the residual value of the issuer on liquidation. Debt securities are divided into short-term and long-term securities using the original (rather than the remaining) term to maturity of the instruments.
Short-term debt securities
Definition
15.91 Short-term debt securities are those with an original term to maturity of one year or less. For Australia, most short-term debt securities on issue are discount instruments (the issue value is lower than the face value, the difference representing interest payable) with an original term to maturity ranging from 30 to 180 days.
15.92 Issuers of promissory notes and bills of exchange may negotiate rollover facilities which allow them to use these instruments as sources of floating-rate long-term funds. In the ASNA, the existence of rollover facilities is not treated as converting what are legally short-term instruments into long-term instruments. The ASNA classifies the instrument according to the contracted term at the time of the original drawdown, rather than anticipating use of the rollover facility.
15.93 Apart from promissory notes, short-term securities are traded on well-established secondary markets. Treasury Notes are inscribed, but the other instruments in this category are bearer securities.
15.94 There are two types of short-term securities presented in the ASNA:
- bills of exchange; and
- one name paper.
Bills of exchange
15.95 The 2008 SNA uses the term ''bankers' acceptance'' to describe the instrument known in Australia as a bill of exchange. A bill of exchange is an unconditional order drawn (issued) by one party, sent to another party (usually a bank) for acceptance, and made out to, or to the order of, a third party, or to bearer (holder). It is a negotiable instrument with an original term to maturity of 180 days or less. Almost all bills are bank accepted or endorsed because investors expect bills to be the obligation of a first-class credit.
15.96 The bill of exchange represents an unconditional claim on the part of the holder and an unconditional liability on the part of the accepting bank; the bank's counterpart asset is a claim on its customer. As such the ASNA shows two instruments in order to demonstrate each side of this three-way transaction. Bills of exchange are treated as financial assets from the time of acceptance, even though funds may not be exchanged until a later stage.
15.97 Bills of exchange are used in international trade finance, liquidity management by banks, money market dealers and corporate treasuries. The data cover only those bills accepted by Australian residents.
One name paper
15.98 By contrast with bills of exchange, one name paper is the liability of a single issuer and does not rely on the credit enhancement provided by acceptance. The ASNA data are further classified by ''domicility''; that is, the market into which the issue was made, being in Australia or offshore.
15.99 One name paper includes promissory notes, Treasury Notes and negotiable certificates of deposit issued by banks.
15.100 A promissory note — also called commercial paper — is a written promise to pay a specified sum of money to the bearer at an agreed date. It is usually issued for an original term between 30 and 180 days and is sold to an investor at a simple discount, to the value shown on the face of the document. A promissory note is not accepted by a bank and, unlike a bill of exchange, is not endorsed by the parties which sell it in the market.
15.101 Treasury Notes are inscribed instruments issued by the Commonwealth Government, and have an original maturity of five, thirteen or twenty-six weeks.
15.102 Bank certificates of deposit are similar to promissory notes except that the drawer is a bank rather than (say) an industrial company. Bank-issued certificates of deposit with an original term to maturity of one year or less are called negotiable certificates of deposit.
Sources and methods – quarterly
15.103 The tables below outline the data sources and methods used in the estimation of quarterly short-term debt securities in current prices. The estimates are valued at market prices. Real estimates are calculated for the national balance sheet.
Item | Comment |
---|---|
Banks acceptances | |
Data for bank accepted bills of exchange is sourced from APRA's monthly Bank Bills Acceptances and Endorsement form. | |
Holdings of banks acceptances | |
The counterparty assets holders for bills of exchange are obtained from the suite of balance sheet forms from the ABS Survey of Financial Information and the APRA Economic and Financial Statistics (EFS) collection. The total reported holdings of bank-accepted bills, is adjusted to align with the reported acceptances by banks. A residual asset holding of bills of exchange is calculated as total bank bills of exchange acceptances less the sum of total assets held (from the ABS and APRA forms). The residual is allocated to the household and rest of the world sectors, but other sectors may be adjusted due to reporting errors, incorrect classifications, under coverage or conflicting data sources. |
|
Transactions and price change | |
Price change effects for these instruments are small in aggregate due to the short-term nature of the contracts. In practice, transactions are derived from stock levels. |
Item | Comment |
---|---|
One name paper issuance by domestic sector and subsector | |
Data for one name paper are sourced from APRA's EFS authorised deposit-taking institution and Registered Financial Corporations Debt Securities Issued forms, and the suite of balance sheet forms from the ABS Survey of Financial Information. Supplementary data sources from the Reserve Bank of Australia (RBA); the Australian Office of Financial Management and Reuters. |
|
Holdings of one name paper by issuing sector and subsector | |
The counterparty assets holders for one name paper are obtained from the suite of balance sheet forms from the ABS Survey of Financial Information; returns under APRA's Economic and Financial Statistics (EFS) Statement of Financial Position and Debt Securities Held forms; and the ABS Survey of International Investment. The total reported holdings of one name paper are adjusted to align with the reported issuance of one name paper. A residual asset holding of one name paper is calculated as total one name paper issuance less the sum of total assets held (from the ABS and APRA forms). The residual is allocated to the household sector, but other sectors may be adjusted due to reporting errors, incorrect classifications, under-coverage or conflicting data sources. |
|
Transactions and price change | |
Price change effects for these instruments are small in aggregate due to the short-term nature of the contracts. In practice, transactions are derived from stock levels. | |
Rest of the world | |
The main data source for one name paper issued by the rest of the world and the respective counterparty asset holders are obtained from the ABS Survey of International Investment. Price changes are obtained directly and modelled, mainly related to foreign currency. Transactions are derived by applying price changes when not directly available from source data. |
Long-term debt securities
Definition
15.104 Long-term debt securities include those securities that have an original maturity of more than one year. Each consists of a document that represents the issuer's pledge to pay the holder the sum of money shown on the face of the document, on a date which at the time of issue is more than one year in the future. Many bonds on issue in Australia pay interest at a set percentage of face value every six months (known as ''coupon interest'') for the life of the bond. Such bonds are known as fixed interest bonds. There is a significant amount of variable rate bonds, and some deep discount (or zero coupon) bonds on issue.
15.105 Long-term debt securities are frequently borrowed by market makers to cover short positions. Where identified, stock loans of this nature are treated in the ASNA as securities' trades. Repurchase agreements, which are also used to cover short positions, are treated as purchases and sales of debt securities.
15.106 Asset-backed securities are arrangements under which payments of interest and principal are backed by payments on specified assets or income streams. They may be issued by a specific holding unit or vehicle, for the purpose of raising funds in order to pay the originator for the underlying assets. Asset-backed securities are classified as debt securities because the security issuers have a requirement to make payments, while the holders do not have a residual claim on the underlying assets. They are backed by various types of financial assets; for example, mortgages and credit card loans.
15.107 Non-participating preferred stocks or shares are those that pay a fixed income but do not provide for participation in the distribution of the residual value of an incorporated enterprise on dissolution. These shares are classified as debt securities. Bonds that are convertible into equity are classified in this category prior to the time that they are converted.
15.108 Long-term debt securities issued in Australia include:
- Treasury bonds issued by the Commonwealth Government;
- Various series of inscribed stock which are issued by the central borrowing authorities and other government-owned corporations. These are known as semi-government securities;
- Debentures, transferable certificates of deposit, and unsecured notes, which are collectively called corporate securities or medium-term notes;
- Asset-backed bonds including mortgage-backed bonds;
- Covered bonds, issued by authorised deposit taking institutions;
- Kangaroo bonds, which are foreign bonds issued in the Australian market,
- Convertible notes prior to conversion; and
- Renewable energy certificates (RECs) issued by the Commonwealth Government.
15.109 The data are further classified by 'domicility'; that is, the market into which the issue was made, being in Australia (onshore) or offshore.
15.110 The table below outlines the data sources and methods used in the estimation of quarterly long-term debt securities, i.e. bonds in current prices. The estimates are valued at market prices. Real estimates are calculated for the national balance sheet.
Item | Comment |
---|---|
Bonds issued by domestic sector and subsector | |
Data for bonds issued are sourced from APRA's Economic and Financial Statistics (EFS) Debt Securities Issued forms completed by authorised deposit taking institutions, Registered Financial Corporations (RFCs) and general insurers; and the suite of balance sheet forms from the ABS Survey of Financial Information. Supplementary data sources include ABS Government Finance Statistics; the Reserve Bank of Australia (RBA); the Australian Office of Financial Management; and Bloomberg. |
|
Holdings of bonds by issuing sector and subsector | |
The counterparty assets holders for bonds are obtained from the suite of balance sheet forms from the ABS Survey of Financial Information; returns under APRA's Economic and Financial Statistics (EFS) collection; returns under APRA's EFS Repurchase Agreements and Securities Lending and Debt Securities Held forms; the RBA Repurchase Agreement Schedule; and the ABS Survey of International Investment. A repurchase agreement (repo) involves the sale of securities or other assets with a commitment to repurchase equivalent assets at a specified date. The buyer may on-sell these securities to another party. The APRA and SFI repo data is assembled into sectoral supply and demand matrices for both national general government securities and state central borrowing authorities' securities. The basis for making repo adjustments is that the instruction for APRA's EFS Statement of Financial Position explicitly requires the reporting entity to include all securities lent or sold under repo in its investment and trading securities and exclude all securities borrowed or purchased under repo. In order to adjust securities holdings onto a securities trade basis, repo is subtracted from and the reverse repo is added back to the reported securities holding of ADIs and registered financial corporations. The APRA repo schedules are substituted with information on securities under repurchase and securities lending agreements by banks with the RBA, collected on the ABS Survey of Financial Information form. The total reported holdings of bonds are adjusted to align with the reported issuance of bonds. A residual asset holding of bonds is calculated as total bonds issuance less the sum of total assets held (from the ABS and APRA forms). The residual is allocated to the household sector, but other sectors may be adjusted due to reporting errors, incorrect classifications, under-coverage or conflicting data sources. |
|
Transactions and price change | |
For each issuing sector, price changes are derived using specific market bond indexes to enable the derivation of transactions when not directly available from source data. | |
Rest of the world | |
The main data source for bonds issued by the rest of the world and the respective counterparty asset holders are obtained from the ABS Survey of International Investment. For rest of the world issuance and rest of the world asset holdings price changes are derived using specific market bond indexes to enable the derivation of transactions when not directly available from source data. |
Derivatives
Definition
15.111 Derivatives are financial instruments that are linked to a specific financial instrument or commodity, through which specific financial risks can be traded in financial markets in their own right. Examples include swaps; forward contracts; futures contracts; and options. In the ASNA, derivatives are treated as debt securities irrespective of the nature of the underlying asset. The value of a derivative derives from the price of the underlying item: the reference price. This price may relate to a commodity; a financial asset; an interest rate; an exchange rate; another derivative; or a spread between two prices.
15.112 An employee stock option is an agreement made on a given date (the ''grant'' date). An employee may purchase a given number of shares of the employer's stock at a stated price (the ''strike'' price) either at a stated time (the ''vesting'' date) or within a period of time (the ''exercise'' period) immediately following the vesting date. Transactions in these options are recorded in the financial account as the counterpart to the element of compensation of employees represented by the value of the stock option. The ASNA does not record employee stock options separately, due to unavailability of source data.
15.113 Margins are payments of cash or collateral that cover actual or potential obligations under derivatives, especially futures contracts or exchange-traded options. Repayable margins consist of deposits or other collateral deposited to protect a counterparty against default risk, but which remain under the ownership of the unit placing the margins. Although its use may be restricted, a deposit is classified as repayable if the depositor retains the risks and rewards of ownership.
15.114 Repayable margin payments in cash are transactions in deposits, not transactions in a derivative. The depositor has a claim on the exchange or other institution holding the deposit. In the ASNA, margins on derivatives are recorded as loans rather than deposits.
Sources and methods – quarterly
15.115 The table below outlines the data sources and methods used in the estimation of quarterly derivatives in current prices. Real estimates are calculated for the national balance sheet.
Item | Comment |
---|---|
Levels (closing positions) and transactions (settlements during the period) | |
Source data for the derivatives market positions and transactions are obtained from the ABS Survey of International Investment (SII). This survey provides information on derivatives assets and liabilities contracts between each resident sector and the rest of the world. It includes details about opening and closing positions; settlements (receipts and payments); valuation and other changes (market price, exchange rate and other changes); country of non-resident creditor/debtor; and residual maturity. All values relate to derivative contracts independent of their underlying assets and are valued on a mark to market basis. The survey collects derivative information at the aggregate level only and does not collect information by a specific type (options, cross-currency swaps, etc.). Domestic sectoral derivatives market positions are obtained from the suite of balance sheet forms from the ABS Survey of Financial Information (SFI) and the Australian Prudential Regulatory Authority's (APRA's) Statement of Financial Position. The four-yearly Survey of Foreign Currency Exposure (also known as the hedging survey), collects data on foreign exchange related derivatives transacted with both resident and non-resident counterparties. The information from the hedging survey is used to derive domestic sector by counterparty profiles using the notional principal of outstanding foreign exchange related derivatives positions with other resident counterparties for overall foreign exchange and non-foreign exchange related domestic positions. The ABS Survey of Financial Information and APRA's Statement of Financial Position are used to break down counterparty sector 'other financial corporations' into the finer sectoral detail required. Domestic derivatives transactions are estimated using banks’ transactions with the rest of the world from the SII; where:
|
Loans and placements
Definition
15.116 Loans are borrowings which are not evidenced by the issue of debt securities. They are not usually traded, and their value does not decline even in a period of rising interest rates. Examples are an overdraft from a bank; money lent by a building society with a mortgage over a property as collateral; and a financial lease agreement with a finance company. Repurchase agreements between deposit-taking institutions are treated as purchases and sales of debt securities, not collateralised loans. Undrawn lines of credit are not recognised as loans because the liabilities are contingent.
15.117 Placements are customers' account balances with entities not regarded as deposit-taking institutions. Examples are account balances of State and local public non-financial corporations with their central borrowing authorities; balances of public-sector pension funds with their State Treasuries; and 11am money placed with corporate treasuries.
15.118 The values of loans to be recorded in the balance sheets of both creditors and debtors are the amounts of the market value of the principal and interest outstanding. This amount includes any interest that has been earned but not been paid. It should also include any amount of indirectly measured service charge (the difference between bank interest and SNA interest) due on the loan that has accrued and not been paid. Accrued interest is shown under accounts receivable or payable. The value of a loan does not reflect the consequences of any interest payments due after the date of the balance sheet, even if these were specified in the original loan agreement. In practice, loans are valued at nominal value less specific loan loss provisions.
15.119 Loans may be divided, on a supplementary basis, between short- and long-term loans. Short-term loans comprise loans that have an original maturity of one year or less. Loans repayable on the demand of the creditor should be classified as short-term even when these loans are expected to be outstanding for more than one year. In the ASNA, they include credit cards and other forms of revolving credit, as well as some placements between state governments and their respective central borrowing authorities.
15.120 Long-term loans comprise loans that have an original maturity of more than one year. This category includes residential mortgages.
Sources and methods – quarterly
15.121 As recommended by the 2008 SNA, the ASNA splits the loans market between short-term and long-term loans and placements. Broadly speaking, this is defined according to original term to maturity. Unlike those for deposits, short and long-term splits for loans are not available directly from most data sources (except banks, building societies, credit unions and registered financial corporations where the forms on APRA’s EFS Statement of Financial Position provide detailed splits for households between short and long-term loans).
15.122 The ASNA makes the assumption that the majority of loans for the non-household sector are of a long-term nature, and an approximate ratio of 80:20 is implemented to dissect data between long-term and short-term maturities.
15.123 The table below outlines the data sources and methods used in the estimation of quarterly loans and placements by sector in current prices. They are valued at market prices. Volume/real estimates are calculated for the national balance sheet.
Item | Comment |
---|---|
Authorised deposit-taking institutions | |
Data for total loans issued by authorised deposit-taking institutions and other broad money institutions and their respective counterparty liability holders are obtained from the balance sheet information from APRA’s EFS Statement of Financial Position, covering banks, building societies, credit unions and registered financial corporations. | |
Securitisers and CBAs | |
Data for total loans issued by securitisers and central borrowing authorities and their respective counterparty liability holders are obtained from the balance sheet information from the ABS Survey of Financial Information – Securitisers and the Government and Other Entities form. | |
Loans and other placements with all other financial institutions and national general government | |
Data for total loans and placements issued by all financial institutions and the Commonwealth government and their respective counterparty liability holders are obtained from the balance sheet information from the ABS Survey of Financial Information; returns under APRA's EFS Statement of Financial Position forms; and balance sheet information from Commonwealth government ledgers from Department of Finance. | |
Rest of the world | |
The main data source for total loans issued by the rest of the world and the respective counterparty liability holders are obtained from the ABS Survey of International Investment. |
Shares and other equity
Definition
15.124 Equity has the distinguishing feature that the holders of equity own a residual claim on the assets of the institutional unit issuing the equity. It represents the owner's funds in the institutional unit. In contrast to debt, equity does not generally provide the owner with a right to a predetermined amount, or an amount determined according to a fixed formula. Equity is treated as a liability of the issuing institutional unit (e.g. a corporation or other unit). Ownership of equity in legal entities is usually evidenced by shares, stocks or investment fund units.
15.125 Equities are sub-divided into listed shares and unlisted shares; both types of shares are negotiable and are classified as equity securities.
15.126 The 2008 SNA also recommends that equity other than shares be presented separately. The ASNA has not followed this recommendation because of the data requirements and workloads associated with this recommendation. The 2008 SNA 'Other equity' is combined with shares data in the financial accounts. In practice, this means units in investment funds are treated as shares.
Listed shares and other equities
15.127 Listed shares are equity securities listed on an exchange. They are also referred to as quoted shares. The existence of quoted prices of shares listed on an exchange means that current market prices are usually readily available. In the ASNA, statistics for listed shares are restricted to those equities listed on the Australian Securities Exchanges (ASX). Data sources cannot support classification of foreign shares to listed or unlisted categories.
Unlisted shares and other equities
15.128 Unlisted shares are equity securities not listed on an exchange. They can also be called private equity; venture capital usually takes this form. Unlisted shares tend to be issued by direct foreign investment subsidiaries and smaller scale businesses. They typically have different regulatory requirements but neither qualification is necessarily the case.
15.129 For unlisted shares, there may be no observable market prices for positions in equity not listed on a stock exchange. This situation often arises for direct investment enterprises; private equity; equity in unlisted and delisted companies; listed but liquid companies; joint ventures; and unincorporated enterprises. An estimate is required when actual market values are unavailable, such as estimating own funds at net asset value of an enterprise.
Sources and methods – quarterly
15.130 The tables below outline the data sources and methods used in the estimation of quarterly listed and unlisted shares and other equity in current prices. The estimates for listed shares are valued at market prices. Volume/real estimates are calculated for the national balance sheet.
Item | Comment | |
---|---|---|
Stocks | ||
Total liability issuance by sector and subsector | ||
Data for listed shares and other equity is sourced from the Australian Securities Exchange (ASX) market capitalisation files. The ASX market capitalisation data are used to generate outstanding liability totals for each issuing sector of the economy through sectoring under the SISCA classifications and determination of type of equity on issue. | ||
Holding of issuing sector by counterparty | ||
The counterparty assets holders for listed shares are obtained from the suite of balance sheet forms from the ABS Survey of Financial Information; returns under APRA's Superannuation Reporting Standards (SRF 320.0 Statement of Financial Position); APRA’s EFS Statement of Financial Position and Equity Securities Held forms; and the ABS Survey of International Investment. The total reported holdings of listed shares are adjusted to align with the reported issuance of listed shares. A residual asset holding of listed shares is calculated as total listed shares issuance less the sum of total assets held (from the ABS and APRA forms). The residual is allocated to the household sector, but other sectors may be adjusted due to reporting errors, incorrect classifications, under coverage or conflicting data sources. | ||
Transactions | ||
Transactions are sourced through a separate ASX transactions data source. Transactions are allocated to appropriate issuing sectors using sectoral classification identifiers based on SISCA classifications and attributed to individual companies and aggregated to form transactions totals for each issuing sector. The aggregates are distributed to holding sectors based on proportional holdings estimated from stock data (see methodology above). Further, transaction adjustments are made to account for reinvested earnings of investment funds and adjustments made to quality assure estimates of pension fund insurance technical reserves. |
Item | Comment | ||
---|---|---|---|
Stocks | |||
The compilation methodology for the unlisted share market varies for issuing sector and subsector due to data quality and availability of unlisted share issuance estimates. | |||
Authorised deposit-taking institutions, money market funds (MMF), non-money market funds (NMMF), securitisers and rest of the world | |||
Total liability issuance by sector and subsector | |||
Data for unlisted shares and other equity are sourced from the ABS Survey of Financial Information – Money Market and Non-Money Market Financial Investment Funds; Securitisers; APRA's EFS Statement of Financial Position; and the ABS Survey of International Investment. Some of these issuing sectors are known to have some data quality problems. For those subsectors, liability data are adjusted based on economic intelligence and analysis of the asset holdings. |
|||
Holdings of issuing sector by counterparty | |||
The counterparty assets holders for unlisted shares are obtained from the suite of balance sheet forms from the ABS Survey of Financial Information; returns under APRA's Superannuation Reporting Standards (SRF 320.0 Statement of Financial Position); APRA’s EFS Statement of Financial Position and Equity Securities Held forms; and the ABS Survey of International Investment. The total reported holdings of unlisted shares are adjusted to align with the reported issuance of unlisted shares. A residual asset holding of unlisted shares is calculated as total unlisted shares issuance less the sum of total assets held (from the ABS and APRA forms). The residual is allocated to the household sector, but other sectors may be adjusted due to reporting errors, incorrect classifications, under coverage, or conflicting data sources. |
|||
Public non-financial corporations, central borrowing authorities, central bank and other financial corporations | |||
The counterparty asset holders for unlisted shares are obtained from the balance sheet forms from the ABS Survey of Financial Information - Government and Other Entities and supplemented with Government Finance Statistics. The total reported holdings of unlisted shares are summed to generate the total issuance of unlisted shares. As these are public sector units, obtaining a market valuation is the major problem rather than under-coverage of assets holders. The data presented in ASNA for other financial corporations is only for the public sector, the private sector units are not estimated due to the unavailability of data. |
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Private non-financial investment funds, other private non-financial corporations, other broad money institutions, life insurance corporations, non-life insurance corporations and other financial corporations | |||
The counterparty assets holders for unlisted shares are obtained from the balance sheet forms from the ABS Survey of Financial Information – Non-Financial Investment Funds (property trusts) and Life Insurance Companies and Friendly Societies; returns under APRA's Statement of Financial Position – General Insurance, Registered Financial Corporations and Superannuation; ABS Survey of International Investment; and ABS Survey of Income and Housing (SIH). The SIH is used to generate household holdings of other private non-financial corporations. The total reported holdings of unlisted shares are summed to generate the total issuance of unlisted shares. The major problems with the estimates are market valuation and possible under-coverage. Adjustments are made for known under coverage usually identified through market intelligence. |
|||
Transactions | |||
Where available, transactions are recorded for unlisted equity. Transactions are not recorded where the data are of inadequate quality. The majority of transactions are recorded for the non-money market investment funds (NMMF) and rest of the world issuing sectors. Transactions for retail NMMF are derived using new applications less redemptions data from the ABS Survey of Financial Information – Non-Money Market Financial Investment Funds. Transactions for wholesale NMMFs are derived using the estimates of revaluations of assets and liabilities on the balance sheet of the NMMF sector to residually derive transactions in wholesale unit investments. Transactions also include those funds reinvested into the corporation by the holding sectors. Rest of the world transactions are from the ABS Survey of International Investment. Adjustments made to align insurance technical reserves are also applied to the unlisted equity market. |
Net equity in reserves
Definition
15.131 Net equity in reserves represents policy-holders' claims on life insurance businesses and pension funds. These technical reserves are calculated by deducting all repayable liabilities from the value of total assets. It comprises the following:
- Household claims on technical reserves of life insurance corporations and pension funds: this category represents households' net equity in, or claims on, the reserves of life insurance corporations and pension funds. In the case of life insurance corporations, it equates in large measure with the net policy liabilities of life offices to households. In the case of pension funds, it represents the funds' obligations to members including any surpluses and reserves. A claim by householders on insurance technical reserve of non-resident pension funds is also included in the ASNA.
- Pension fund claims on life insurance corporations reserves: This category represents pension funds' net equity in, or claims on, life insurance corporation reserves. A significant number of pension funds invest their members' contributions in the statutory funds of life insurance corporations. These investments are typically held as unit-linked insurance or investment policies.
Sources and methods - quarterly
15.132 The table below outlines the data sources and methods used in the estimation of quarterly net equity in reserves in current prices. Volume/real estimates are calculated for the national balance sheet.
Item | Comment |
---|---|
Net equity in reserves | |
This represents both net equity of pension funds in life offices and net equity of households in pension, life insurance and rest of the world reserves. Pension funds claims on life insurance corporations reserves represents net equity of pension funds in life offices, these data are collected directly the from APRA's quarterly Superannuation Reporting Standards (SRF 320.0 Statement of Financial Position). In the ASNA, estimates are derived residually from the balance sheets of pension funds and life insurance sectors rather than trying to source data on household claims on technical reserves of life insurance corporations and pension funds directly. It follows that if reasonably accurate measurements of stocks/flows of the total assets and the repayable liabilities of pension and life insurance are compiled, an accurate measure of net equity in reserves (the residual) may be derived. Life insurance technical reserves are calculated as the difference between total assets (financial and non-financial) and the liabilities including shareholder equity. Pension funds technical reserves are calculated as the difference between total assets (financial and non-financial) and the repayable liabilities. The data sources to derive household claims on pension funds and life insurance net equity in reserves are dependent on source data and methodology outlined in paragraphs 15.04 to 15.13 for compilation of financial instruments. For life insurance companies, non-financial assets and for shareholders equity are derived from ABS Survey of Financial Information – Life Insurance Companies and Friendly Societies. For pension funds non-financial assets are from the balance sheet information: from the APRA quarterly Statement of Financial Position – Superannuation; quarterly modelled estimates from the annual returns of self-managed superannuation funds to the ATO; and the ABS Survey of Financial Information – Investment Managers. Rest of the world insurance technical reserves are generated from models using direct source data from the ABS Survey of International Investment. |
Unfunded superannuation claims
Definition
15.133 Unfunded superannuation claims represent the liabilities of the general government sector to public sector employees in respect of unfunded retirement benefits. In Australia, most governments operate, or used to operate, superannuation schemes for their employees that are unfunded or only partly funded. Some government unfunded superannuation schemes have one component funded through direct employee contributions, and another (the employers' contributions) which is unfunded. Other government unfunded superannuation schemes comprise only an unfunded employer component.
Sources and methods - quarterly
15.134 Direct data sources are used to compile unfunded public sector superannuation claims. The outstanding liability in relation to unfunded superannuation claims is recorded as a liability in the general government sectors and as an asset in the pension fund and household sector.
15.135 The main data on National General Government by counterparties are obtained from balance sheet information from Commonwealth Government Ledgers from the Department of Finance and APRA Statement of Financial Position - Superannuation. The main data on State and Local General Government by counterparties are obtained from Government Finance Statistics. Unfunded superannuation claims have been recognised in government accounts since jurisdictions moved to accrual accounting. Prior to the change in accounting methods, the ABS developed a set of historical estimates for outstanding liabilities and changes in liabilities for national accounting purposes.
15.136 Transactions are derived as the difference in the balance sheet positions. When annual balance sheet positions are revised due to annual actuarial assessments, an estimate is derived for the actuarial adjustments and recorded as other volume changes and price changes.
Prepayment of premiums and reserves against outstanding claims
Definition
15.137 Prepayments of premiums and reserves against outstanding claims represents policy-holders’ net equity in, or claims on, the reserves of general insurance corporations. They equate to prepayments of premiums and reserves held to cover outstanding claims.
15.138 They consist of premiums paid but not yet earned (called unearned premiums) and claims due but not yet settled, including cases where the amount is in dispute or the event leading to the claim has not yet been reported (called claims outstanding).
Sources and methods – quarterly
15.139 The table below outlines the data sources and methods used in the estimation of quarterly prepayments of premiums and reserves against outstanding claims in current prices. Volume/real estimates are calculated for the national balance sheet.
Item | Comment |
---|---|
Prepayments of premiums and reserves against outstanding claims | |
Prepayments of premiums and reserves against outstanding claims are constructed using unearned premiums and claims outstanding data from the following balance sheet data:
|
Other accounts receivable and payable
Definition
15.140 This category comprises trade credit for goods and services extended to corporations, government, NPISHs, households and the rest of the world, and advances for work that is in progress (if classified as such under inventories), or is to be undertaken. Trade credits and advances do not include loans to finance trade credit, which are classified as loans.
15.141 The ASNA does not separate the two categories of accounts payable/receivable into short-term and long-term.
Sources and methods – quarterly
15.142 The table below outlines the data sources and methods used in the estimation of quarterly accounts receivable and accounts payable by sector in current prices. The estimates are derived at face value. Volume/real estimates are calculated for the national balance sheet.
Sources and methods – annual
15.143 Annual financial accounts and balance sheets are not compiled separately in the ASNA. Annual estimates published in the ASNA for financial accounts are the sum of four quarters, and the annual stock estimates are the quarterly estimates as at 30 June.
Item | Comment |
---|---|
National general government | |
The main data on national general government accounts receivable and payable by counterparties are obtained from balance sheet information from Commonwealth government ledgers from the Department of Finance. | |
All other resident sectors | |
The main data for all other domestic sectors on accounts receivable and payable are obtained from the suite of balance sheet forms from the ABS Survey of Financial Information; returns under APRA's Superannuation Reporting Standards (SRF 320.0 Statement of Financial Position); APRA’s EFS Statement of Financial Position; Government Finance Statistics and quarterly returns for self-managed superannuation funds to the ATO. | |
Rest of the world | |
The main data on rest of the world accounts receivable and payable by counterparties are obtained from the ABS Survey of International Investment. |
Chapter 16 The other changes in the volume of assets account
Revaluations and other changes in the volume of assets account - Introduction
16.1 In the ASNA, accumulation entries for revaluations and other changes in the volume of assets are recorded in the balance sheets, reconciling these entries with the opening balance sheet; transactions during the accounting period; and the closing balance sheet. That is, they are not presented as separate accounts but integrated with the opening and closing balance sheets as well as the capital and financial accounts to obtain net worth.
16.2 These accounts record the changes in the values of assets and liabilities that result from flows that are not transactions. These are referred to as other flows. They record significant changes in the value and composition of items between the opening and closing balance sheets due to factors other than transactions (the 2008 SNA defines a transaction as “an economic flow that is an exchange of value between institutional units by mutual agreement”).
16.3 Other flows (revaluations and other volume changes) are useful for analysing changes in wealth not explained by transactions in assets or liabilities. An example of such analysis from the ASNA is Table 12. Analytical measures of national income, saving and wealth. This table includes changes in wealth due to asset prices and other gains/losses; an example being changes in wealth resulting from discoveries of natural resources, or destruction of property by natural disasters.
Revaluations and other changes in the volume of assets account
Revaluations account
16.4 Revaluations are holding gains or losses arising from changes in the market prices of assets and liabilities during the accounting period. Holding gains and losses (also referred to as nominal holding gains and losses) are assets and liabilities that remain qualitatively and quantitatively unchanged during the accounting period. Therefore, changes in the value of physical assets attributable to some physical or economic transformation, whether improvement or deterioration, are not recorded as holding gains or losses. In particular, the decline in the value of fixed assets arising from physical deterioration, obsolescence or accidental damage is not a holding loss but is recorded in consumption of fixed capital or other changes in the volume of assets. Increases in value from growth of natural assets are recorded with other changes in the volume of assets.
16.5 Nominal holding gains and losses can be decomposed into neutral holding gains and losses, which are in line with the change in the general level of prices, and real holding gains and losses, which are changes that are above or below the change in the general level of prices.
Other changes in the volume of assets account
16.6 Other changes in the volume of assets are changes in the value of assets and liabilities over the accounting period arising from events other than transactions and revaluations. One important function of the other changes in the volume of assets account is to allow certain assets to enter and leave the system other than by transactions. The acts of entering and exiting from the balance sheet are referred to as economic appearances and disappearances. Some examples of entrances and exits are:
- when naturally occurring assets, such as mineral and energy resources, gain economic value or become worthless;
- as a result of interactions between institutional units and nature (as opposed to a transaction which is the interaction between two institutional units); and
- assets created by human activity, such as valuables and purchased goodwill.
16.7 The second function is to record the effects of exceptional, unanticipated events that affect the economic benefits derivable from assets and is referred to as the effect of external events. These events include those that destroy assets such as natural disasters and war as well as when an institutional unit removes an asset from its owner without consent.
16.8 A third function is to record changes in classifications of institutional units and assets and in the structure of institutional units.
Holding gains
Introduction
16.9 Holding gains and losses arise from changes in assets, liabilities and net worth over time in the level and structure of prices. Holding gains accrue purely as a result of holding assets over time without transforming them in any way. Holding gains include not only gains on capital such as fixed assets, land and financial assets but also gains on inventories of all kinds of goods held by producers.
16.10 A holding gain (loss) is realised when an asset that has increased (decreased) in value due to holding gains (losses) since the beginning of the accounting period is sold, redeemed, used or otherwise disposed of, or a liability incorporating a holding gain or loss is repaid. An unrealised holding gain is one accruing on an asset that is still owned or a liability that is still outstanding at the end of the accounting period.
16.11 The nominal holding gain on a non-financial asset is the value of the benefit accruing to the owner of that asset as a result of a change in its price over a period of time. The nominal holding gain on a financial asset is the increase in value of the asset, other than transactions in the assets (including the accrual of interest over a period of time) and other changes in the volume of assets. The nominal holding gain on a liability is the decrease in value of the liability, other than by transactions or by other volume changes. Nominal holding gains (losses) are decomposed into neutral holding gains and real holding gains.
16.12 A neutral holding gain (loss) over a period is the increase (decrease) in the value of an asset that would be required, in the absence of transactions and other changes in the volume of assets, to maintain command over the same amount of goods and services as at the beginning of the period. It is the increase in the value of the asset required to preserve exactly the same volume of goods and services).
16.13 A real holding gain (loss) is the amount by which the value of an asset increases (decreases) over the neutral holding gain for the period, in the absence of transactions and other changes in the volume of assets. It is the difference between the nominal holding gain (loss) and the neutral holding gain (loss) for the same asset over the same time period).
Holding gains on fixed assets
16.14 Nominal holding gains may occur on existing fixed assets either because of general inflation or because the price of the asset itself changes over time. When assets of the same kind are still being produced and sold on the market, an existing asset should be valued in the opening or closing balance sheet at the current purchaser’s price of a newly produced asset less the accumulated consumption of fixed capital up to that time also calculated on the basis of the prices prevailing at the time the balance sheet is drawn up. When new assets of the same type are no longer being produced, the valuation of existing assets may pose difficult conceptual and practical problems. If broadly similar kinds of assets are still being produced, even though their characteristics may differ significantly from those of existing assets (for example, new models of vehicles or aircraft), it may be reasonable to assume that, if the existing assets were still being produced, their prices would have moved in the same way as those of new assets. However, such an assumption becomes questionable when the characteristics of new assets are much improved by technical progress.
Holding gains on inventories
16.15 The estimation of nominal holding gains on inventories is difficult because of lack of data on transactions or other volume changes in inventories. Goods entering inventories can be regarded as being acquired by the owner of an enterprise from itself as producer, while goods leaving inventories can be regarded as being disposed of by the owner to the producer for use in production or for sale. These internal transactions should be valued at the prices prevailing at the times they take place. The value of withdrawals thus includes any holding gains on the inventories when stored and this ensures that the value of the holding gain is not included in output. However, when the storage of goods is essentially an extension of the process of production, the increase in the value of the goods that is due to this production is not to be counted as a nominal holding gain. In the case of goods for resale, the value of the goods when withdrawn from inventory should include the value of any holding gain or loss that has occurred while they were in store but not the value of any margin to be realised by the wholesaler or retailer.
16.16 Other volume changes are likely to consist of inventories of goods destroyed as a result of exceptional events such as natural disasters (floods, earthquakes, etc.) or major fires. Recurrent losses of goods from inventories, such as losses due to regular wastage or pilfering, are treated in the same way as deliberate withdrawals. Nominal holding gains on inventories thus relate only to the level of inventories once both exceptional and recurrent losses on inventories have been taken into account.
Financial assets and liabilities
16.17 It is not always appropriate to describe financial assets and liabilities as having a price. Holding gains and losses appear to be treated differently for different categories, though the same basic principles apply to all categories:
- Monetary gold is subject to nominal and real holding gains and losses because of changes in the exchange rate as well as in the price of gold itself.
- The value of Special Drawing Rights (SDRs) is always subject to nominal and real holding gains and losses since the value of the SDR is based on a basket of four key currencies.
- Domestic currency, deposits and loans, and other accounts receivable and payable are not subject to any nominal holding gains or losses as they are denominated in domestic currency. However, although the nominal holding gains are zero, the neutral holding gains on currency are not. Under inflation, neutral holding gains are positive and so the associated real holding gains are negative and of an equal size.
- Bond price changes that are attributable to changes in market rates of interest constitute price and not volume changes. Therefore, they generate nominal holding gains or losses for both the issuers and the holders of the bonds. An increase in interest rates generates a nominal holding gain for the issuer of the bond and an equal nominal holding loss for the holder of the bond, and vice versa in the case of a fall in interest rates.
- Nominal holding gains or losses may accrue on bills in the same way as for bonds. As bills are short-term securities with much shorter times to maturity, the holding gains generated by interest rate changes are generally much smaller than on bonds with the same face values.
- For listed shares and investment fund shares and units, and derivatives, market prices exist and therefore holding gains and losses exist similar to inventories with no storage component.
- For other forms of equity, holding gains are calculated as the sum of holding gains on assets less the holding gains on liabilities.
Other changes in the volume of assets
Introduction
16.18 The entries in the other changes in assets accounts cover many different kinds of changes in assets, liabilities and net worth. Some of these are particular to the type of asset concerned, while others may apply to all types of assets.
16.19 Other changes in the volume of assets are categorised as follows:
- Economic appearance of non-produced non-financial assets – includes natural resources; contracts, leases and licences; and goodwill and marketing assets.
- Economic appearance of produced non-financial assets – includes valuables and historic monuments which, for various reasons (e.g. not thought previously to be of value), have been excluded from the balance sheets.
- Economic disappearance of non-produced non-financial assets – includes depletion of natural economic assets such as forests and mineral and energy resources as a result of physical removal and use, reassessment of mineral and energy resources as no longer exploitable; negative quality changes arising from changes in use; degradation due to use in economic activity; cancellation of contracts, leases and licences; and write-offs or write-downs of patents and goodwill.
- Catastrophic losses – losses of produced and non-produced assets from (i) earthquakes, volcanic eruptions, tidal waves, hurricanes, drought and other natural disasters; (ii) acts of war, riots, other political events; and (iii) technological accidents such as toxic spills and inadvertent release of radioactive materials.
- Uncompensated seizures – includes seizures of assets by governments or other institutional units; such seizures may be in contravention of national or international law (excludes foreclosures and repossessions by creditors, which are recorded as financial transactions).
- Other volume changes in non-financial assets n.e.c. – includes unforeseen obsolescence, degradation and damage not allowed for in consumption of fixed capital, abandonment of production facilities before they are brought into use, and exceptional losses in inventories (e.g. from fire, robbery or infestation).
- Other volume changes in financial assets and liabilities n.e.c – includes allocation and cancellation of SDRs, write-offs or write-downs of bad debts by creditors, and changes in the actuarially-determined value of defined-benefit pension schemes.
- Changes in classification and structure – includes changes in the sector classification of units, monetisation and demonetisation of gold and other changes in the classification of assets and liabilities.
16.20 In the ASNA it has not been possible to cover all of the types of other volume changes described above and the value of other changes in the volume of assets sometimes is estimated as a residual.
Chapter 17 The balance sheet
The balance sheet
17.1 2008 SNA defines a balance sheet as:
. . . a statement, drawn up in respect of a particular point in time, of the values of assets owned and of the liabilities owed by an institutional unit or group of units. A balance sheet may be drawn up for institutional units, institutional sectors and the total economy.⁵⁶
17.2 The ASNA provides details of the consolidated national and sectoral balance sheets. The balance sheet contains estimates of the value of some of Australia's natural resources as well as data on produced assets, and net financial claims on the rest of the world. The summary aggregate is net worth, which is defined as the difference between total assets and liabilities.
17.3 The balance sheet completes the sequence of accounts, showing the ultimate result of the entries in the production, distribution and use of income, and accumulation accounts.
Classification of assets in the balance sheet
17.4 According to the 2008 SNA, an asset must be an economic asset to be included in the national balance sheets:
- over which ownership rights are enforced by institutional units, individually or collectively; and
- from which economic benefits may be derived by its owner by holding it, or using it, over a period of time.
17.5 The 2008 SNA describes three types of assets that should be included in the national balance sheets:
Produced assets are non-financial assets that have come into existence as outputs from production processes that fall within the production boundary of SNA.⁵⁷
Non-produced assets are non-financial assets that have come into existence in ways other than through processes of production.⁵⁸
Financial assets consist of all financial claims, shares or other equity in corporations plus gold bullion held by monetary authorities as a reserve asset.⁵⁹
17.6 The definitions of the assets in the balance sheet are consistent with the definitions of assets in the capital and financial accounts.
17.7 The balance sheets shown in 2008 SNA as:
ASSETS | LIABILITIES AND NET WORTH | |||
---|---|---|---|---|
Non-financial assets | Liabilities to the rest of the world | |||
Produced assets | Net worth | |||
Fixed assets | ||||
Inventories Valuables (a) | ||||
Non-produced assets | ||||
Natural resources | ||||
Permissions to use natural resources | ||||
Financial assets with the rest of the world | ||||
Total assets | Total liabilities and net worth | |||
Memorandum Items |
- currently not compiled in the ASNA.
17.8 The financial and non-financial resources at the disposal of an institutional unit or sector shown in the balance sheet provide an indicator of economic status. These resources are summarised in the balancing item, net worth. Net worth is defined as the value of all the assets owned by an institutional unit or sector less the value of all its outstanding liabilities (including share capital). It is important to note that net worth is a balancing item and can be negative, for example if loans owed are greater than the value of assets held.
Differences between 2008 SNA and ASNA in the asset boundary
17.9 The balance sheet estimates are generally consistent with 2008 SNA recommendations, although there is one main area where the ABS has not followed the recommendations of 2008 SNA with regard to the asset boundary. This relates to the types of mineral and energy resources valued in the balance sheet. 2008 SNA defines these assets as:
. . . consisting of mineral and energy reserves located on or below the earth's surface that are economically exploitable, given current technology and relative prices.⁶⁰
17.10 The ASNA treatment of mineral and energy resources reflects the treatment adopted by Geoscience Australia for identifying Australia's mineral resources. In the ASNA, the volume of mineral and energy resources available for production is more accurately reflected by the term 'economically demonstrated resources' (EDRs), which equates to proven plus probable resources. EDRs are those resources which have a very high probability of existence, and are economically feasible to extract, given current technology and relative prices.
17.11 Further, while 2008 SNA recommends that some assets such as valuables; water resources; goodwill and marketing assets; and contracts, leases and licences be included in national balance sheets, they are not recorded in the ASNA with the exception of spectrum licences. The ASNA agrees, in principle, that these assets should be included, though at present there is insufficient data to do so.
Endnotes
Valuation issues of the balance sheet
General principles of valuation
17.12 Ideally, assets should be valued based on current, observable market prices as this is the basis on which decisions by producers, consumers, investors, and other economic agents are made. In the ASNA, current prices can be approximated (in the absence of observable market prices) for balance sheet purposes in two ways:
- In some cases, market prices may be approximated by accumulating and revaluing acquisitions less disposals of the asset in question over its lifetime. This method has been used to value estimates of produced fixed assets as well as estimates of the value of consumer durables (the latter appears as a memorandum item in the balance sheet).
- In other cases, market prices may be approximated by the present, or discounted, value of future economic benefits expected from any given asset; this is the method used for mineral and energy resources and native forests in the balance sheets.
Non-financial produced assets
17.13 The principles of valuing produced non-financial assets (excluding plantation standing timber) in the balance sheet are consistent with the valuations in the ASNA capital account. These are mostly consistent with the approaches as recommended by the 2008 SNA.
17.14 The value of non-financial produced fixed assets and intellectual property products are calculated using the Perpetual Inventory Method. The end-year net capital stock for each type of asset is included in the balance sheet. The value of changes in inventories by sector type is obtained from the capital account.
Plantation standing timber
17.15 Standing timber assets include plantation and native forests (see section on non-financial non-produced assets). The 2008 SNA does not specifically identify the types of standing timber to be included in the national balance sheets, other than that the forests must be owned by an institutional unit and must bring economic benefits to their owners. All publicly-owned forests outside conservation reserves and all private forests in Australia are potentially available for timber production, either now or at some time in the future, although a number of constraints reduce the area of forest available for production.
17.16 Standing timber other than that recommended for inclusion in national balance sheets may also have an economic value according to 2008 SNA. For instance, conservation forests with timber values include national parks, wilderness areas, water catchment areas and those inscribed on the World Heritage List, such as the Lord Howe Island Group. Although these forests contain commercially viable timber, logging is prohibited so the ASNA does not include this potential timber value in its balance sheet estimates.
17.17 Forests also have a range of non-timber values, such as maintaining biodiversity, acting as a carbon sink, and preventing soil erosion. However, valuing these attributes is not within the scope of the ASNA balance sheet estimates.
17.18 As with mineral and energy resources, market transactions for forests are not common. For plantations, insurance values by tree age are considered to be an appropriate proxy for market values. However, due to a lack of data, this has been modelled since 2002. Data on plantation forest area and plantings currently comes from the ABARES publications, Australian plantation statistics (published every five years) and Australian plantation statistics update (annual publication). Prior to 1975, annual planting data was not available, and so annual plantings had to be estimated based on annual increases in total plantation area in each year up to 1975.
17.19 The estimates of the value of Australia's plantation timber resources are based on the estimated net area of forest available for production in each State and Territory. The valuation method for the different types of plantation standing timber is in line with the recommendations of 2008 SNA. Harvestings are calculated as the difference between the total plantation area and the sum of the annual plantings, over the insurance schedule. The following provides the valuations used for the two types of plantation standing timber:
- Coniferous plantations – are valued using an insurance schedule provided by the insurance industry. The schedule shows the value of each hectare from 1 to 30 years of age (35 for South Australia, Northern Territory and Australian Capital Territory).
- Broadleaved plantations – are also valued using insurance schedules showing the insured value of each hectare of forest according to tree age (12 years for Western Australia, 14 years for South Australia, Victoria and Queensland, and 30 years for Tasmania and New South Wales).
17.20 This approach does not fully account for net depletions in plantations due to drought, disease, land use change, fire, or other natural causes. No depletion adjustment is required where a forest is harvested sustainably.
Non-financial non-produced assets
17.21 The following section provides details on the valuation of non-financial non-produced assets, which are primarily calculated for the balance sheet.
Land
17.22 Land is defined in the 2008 SNA as:
. . . the ground, including the soil covering and any associated surface waters.⁶¹
17.23 2008 SNA excludes from this definition any buildings or other produced structures situated on it; for example, cultivated crops, trees and livestock; mineral and energy resources; non-cultivated biological resources and water resources. Estimates for the value of land in the balance sheets include freehold and leasehold land in private hands, plus land owned by Commonwealth, State and Territory, and local governments and their business enterprises.
17.24 In principle, the value of land excludes the value of improvements (which include site clearance, preparation for the erection of buildings or planting crops and costs of ownership transfer) and buildings which fall into the scope of fixed assets. Land is valued at its current price paid by a new owner, excluding the costs of ownership transfer which are treated, by convention, as gross fixed capital formation (GFCF) and are subject to consumption of fixed capital (COFC). Because the current market value of land can vary considerably according to its location and the uses for which it is suitable or sanctioned, it is essential to identify the location and use of a specific piece or tract of land in order to value it accordingly.
17.25 When the value of land cannot be separated from the building, structure, or plantation, vineyard, etc. above it, the composite asset should be classified in the category representing the greater part of its value. Similarly, if the value of the land improvements cannot be separated from the value of land in its natural state, the value of the land may be allocated to one category or the other depending on which is assumed to represent the greater part of the value.
17.26 The tenure types of land in the ASNA are residential and non-residential land. Non-residential land includes commercial, rural, and other land. Estimates of commercial and rural land values are derived from data obtained from each of the State and Territory Valuers-General offices. These estimates are on a consistent basis with those supplied to the Commonwealth Grants Commission; that is, they represent the site value of land and are classified according to land purpose. Valuers-General value land at market prices and in practice there are several difficulties in applying observed prices to the whole of the land stock. Estimates for commercial land are allocated to the following sectors – non-financial corporations, financial corporations, and households. Rural land is allocated to the household and non-financial corporations sectors. The remaining stock of non-residential land is considered to be owned by the general government sector, and estimates are sourced directly from Government Finance Statistics (GFS).
17.27 For residential land, the ASNA uses data compiled for the ABS Residential Property Price Index (RPPI) on the value of residential dwelling stock, which includes the value of land.⁶² The estimate for residential land is the RPPI value of the dwelling stock, minus the capital estimates of the value of dwellings derived by the Perpetual Inventory Method (see Chapter 14). State and sectoral splits of residential land values are also derived from the RPPI data. The stock of residential land is allocated to the household, general government and non-financial corporations sectors. Estimates exclude vacant residential land owned by households.
17.28 Land underlying roads meets the two definitions for inclusion in the asset boundary (see paragraph 17.4). As such, land under roads is in scope of the general government balance sheet. The information used by the ASNA to value government non-residential land may include a land under roads value. Indeed, the Australian Accounting Standard (AASB 1051) specifies requirements for financial reporting of land under roads to jurisdictions. Users should be aware of the lack of consistency across jurisdictions in the initial recognition of land under roads, and in how they value it in practice. Hence, the estimates on government land should be viewed with some caution.
Mineral and energy resources
17.29 2008 SNA defines mineral and energy resources as consisting of:
. . . known reserves of coal, oil, gas or other fuels and metallic ores, and non-metallic minerals, etc., that are located below or on the earth's surface, including reserves under the sea that are economically exploitable given current technology and relative prices.⁶³
17.30 Estimates of EDRs and production of mineral resources in Australia are obtained from several sources, including Australia's Identified Mineral Resources (AIMR), published by Geoscience Australia and Australian Petroleum Statistics (APS), published by the Department of Industry, Science, Energy and Resources. Production costs are provided by a private consulting firm and are derived using company-reported financial information from a sample set of mines and industry trends. Prices are derived from several publicly available resources, including the Australian Financial Review (AFR) and the Resources and Energy Quarterly (REQ) publication, produced by the Department of Industry, Science and Resources.
17.31 The ASNA has used the net present value (NPV) approach as there are insufficient transactions in mineral and energy resources in Australia to determine market prices for these assets. Given the data constraints, this approach is considered to provide more reliable estimates than alternative approaches.
17.32 The NPV approach involves calculating the expected future net income flow generated by the asset, and then discounting this value by an appropriate interest rate over the expected life of the asset. This approach involves estimating (a) the value of net income; (b) gross output (price multiplied by production) less (c) costs (including a normal return on produced capital) over a year. This difference is taken to be the equivalent of economic rent. The future income flow has been calculated for each year and is discounted over the expected mine life to obtain a value in today's dollars. The ASNA uses a five-year lagged average to smooth prices, costs, and production.
17.33 Normal returns to produced capital are not included in economic rent as rent represents the returns from the resource only (and not returns on produced capital used to extract the resource). 'Normal' returns on capital should include a reward to cover the cost of risk and uncertainty in exploration and development, and an overall long-term risk premium to cover price volatility and the general level of inflation. Data on normal returns to produced capital are derived by the ASNA using ASNA capital stock estimates, an appropriate discount rate and extraction costs.
17.34 In the derivation of real (inflation adjusted) discount rates, the ASNA has assumed that a company's decision to commit resources (towards exploration and extraction) is significantly influenced by costs of borrowing. Consequently, the discount rate chosen has been aimed at reflecting the cost of capital, or the cost of borrowing, to the mining industry. Moreover, because the future stream of income is expressed in current dollar terms, a real (as opposed to a nominal) rate of discount is appropriate as the future income flow is calculated on the basis of current income and costs.
Native standing timber
17.35 Standing timber assets cover both native and plantation forests (see section on non-financial produced assets). As for plantation standing timber, the scope of native standing timber assets includes forests (excluding conservational) potentially available for timber production, either now or at some time in the future. Other non-timber values (such as biodiversity) are not within the scope of the national balance sheets, as discussed in the section on plantation standing timber.
17.36 Data have been obtained from the ABARES publication, Australian Forest and Wood Products Statistics, for estimating the value and proportion of private timber production and the harvesting of native forests. Forestry departments in each State and Territory provide average rotation cycles, as well as annual data on revenue earned from sales of harvested native timber under public ownership.
17.37 Native standing timber is valued differently from plantation forests as there is no suitable market price data available, proxies or otherwise. Accordingly, the ASNA has used the NPV of the future stream of royalty income to value native standing timber, based on the assumption that royalties approximate economic rent.
17.38 The estimates of the value of Australia's native timber resources are based on the estimated net area of forest available for production in each State and Territory. The valuation method for native standing timber is in line with the recommendations of 2008 SNA. The ASNA has valued native forests using the NPV method – a net value-of-production approach over the estimated rotation cycle of the forests, using an appropriate discount rate.
Radio spectrum and spectrum licences
17.39 Radio spectrum is an asset that is recognised as being of economic value from the time a licence is issued to use it. There is no specific definition for spectrum in 2008 SNA; however, spectrum licences fall under contracts, leases, and licences. More detail can be found in Chapter 17 of the 2008 SNA.
17.40 Data on the value of auctions of spectrum licences comes from the Australian Communications and Media Authority. These data are used to estimate a value for spectrum and the permission to use the natural resource, spectrum licences.
17.41 The value of the spectrum is based on the net present value method; that is, valuation involves estimating the discounted future stream of income which the asset is expected to generate beyond the life of the licence. The value of the spectrum licence is linked to an auction price.
17.42 Note the value of the spectrum is also linked to the licence price but may be higher due to a longer expected asset life. An offset, however, is required in the accounts to limit the total value that is added to net worth. In effect, the sum of the value of the two assets cannot be greater than the value of the spectrum. In practice, this approach requires that the initial value of the spectrum be reduced by the purchase value of the licence. Over time, a transfer of value between the licence and the spectrum will be recorded to ensure that overall net worth is unaffected as the licence declines in value, assuming no change in the overall value of the spectrum. The value of both the spectrum and licence may change to the extent that market conditions and expectations change following the issue of the licence. All these changes are reflected in the other changes in volume of assets account.
Financial assets and liabilities
17.43 The principles of valuing financial assets and liabilities in the balance sheet are consistent with the valuations in the financial account. Values for financial assets and liabilities are obtained from the ABS publication, Australian National Accounts: Finance and Wealth. These are mostly consistent with the approaches as recommended by 2008 SNA. For further discussion on financial accounts and financial balance sheets refer to Chapter 15.
Volume/real measures for national balance sheet
17.44 The national balance sheet is also presented in volume and real terms. Chain volume measures for the balance sheet values for produced non-financial assets are compiled in the Perpetual Inventory Method and published in the capital stock tables in both current prices and as chain volume measures. Volume estimates have also been developed for the non-produced non-financial assets presented in the national balance sheet.
17.45 Financial assets and liabilities cannot be decomposed into price and volume components, so it is impossible to derive volume indexes for them. However, it is possible to deflate income flows, and financial assets and liabilities by a price index in order to measure the purchasing power of the aggregate in question over a designated numeraire set of goods and services. Such measures are called "real" estimates.
17.46 Real net worth is derived by aggregating the chain volume estimates of the non-financial assets with the real estimates of financial assets less liabilities using the standard method of chain aggregation.
Sources and methods
17.47 Chain volume measures for produced assets are derived using the concepts, sources and methods outlined in Chapter 10. Chain volume measures for mineral and energy resources and native standing timber can be obtained as an extension of the process used to compile the current price estimates for these aggregates, as explicit price and volume information underlie the compilation of the current price estimates in the balance sheet. Effectively, unit resource rents and discount rates are kept constant to produce the volume estimates for these assets. For spectrum and spectrum licences, volume estimates are calculated by deflating the current price values using the domestic final demand implicit price deflator.
17.48 Deriving chain volume measures of land raises several important issues. Can the volume of land change over time, or is change in its value wholly due to price change? The land area of a nation does not change very much in the normal course of events. However, as volume change is also defined to include changes in quality, it seems clear that the volume of land can change due to natural processes, soil conservation, land degradation and other human activity. Urban land is more economically valuable than rural land because of the higher utility provided to urban dwellers. As urban boundaries expand and land is rezoned for urban use, it can therefore be argued that the volume of the resource changes because it is now available for higher value uses. Location is critical in determining the quality, and hence, the volume of land. For this reason, land in a central business district can be said to be of a higher quality than land in the suburbs of a city and is subject to more intensive development. The volume estimates for land are therefore compiled by assuming that land volumes do change over time. In practice, it is difficult to distinguish between price and volume changes for land. Consequently, the growth in the volume of land has been estimated by assuming that the volume of commercial land grows at half the rate of growth in the volume of the overlying non-dwelling construction, and residential land grows at one-third of the rate of growth in the volume of overlying dwelling construction. Rural land is estimated to have zero volume growth, assuming that rural land degradation, and rezoning net to zero.
17.49 Real estimates of financial assets and liabilities are derived by deflating their current price values using the domestic final demand implicit price deflator.
Reliability of the estimates of natural resources
17.50 In order to derive estimates of net worth, natural resources have been valued in monetary terms to provide a common basis for aggregation of all assets. However, the valuation of natural resources and permission to use natural resources, and the values should be interpreted with caution and used in conjunction with the physical stock data. When doing so, it must be borne in mind that the physical estimates are also subject to some uncertainty regarding the total resources which will ultimately become available for production.
17.51 The 2008 SNA acknowledges that valuation of expected net returns, resulting from the commercial exploitation of natural resources, is subject to great uncertainty and to possible considerable revision. It points out that, as ownership of these assets does not change frequently on markets, it is difficult to obtain appropriate market prices to use for valuation purposes, so that in practice it may be necessary to use the valuations which the owners of the assets place on them in their own accounts (2008 SNA, para.13.49). As such, data are not available in Australia, it is necessary for the ASNA to calculate the net present value of these resources.
17.52 Given the way that the estimates of non-produced non-financial assets are derived, only a very small proportion of the total resource is accounted for at any one time, and valuation can give a misleading impression of the size of the resource base. Monetary estimates are subject to considerable volatility, and accordingly can give a deceptively optimistic or pessimistic picture; hence, the estimates must be viewed with some caution.
Sectoral estimates
17.53 A sectoral breakdown of the national balance sheet is also provided. The ASNA identifies four domestic institutional sectors within the economy:
- the household sector (including unincorporated enterprises and NPISHs);
- financial corporations;
- general government; and
- non-financial corporations.
Transactor units are assigned to a sector according to their functional role in the economy.
17.54 The sectoral split is based on a variety of sources including published and unpublished ASNA data, taxation statistics, and data from the State and Territory Valuers-General. The sectoral estimates for non-produced assets due to inadequate data sources are derived using fixed ratios or related data as an indicator of sector ownership.
Memorandum items
17.55 Memorandum items are included in the national balance sheets to show items not separately listed as assets but are of particular interest to institutional sectors.
Consumer durables
17.56 2008 SNA defines a consumer durable as:
. . . a good that may be used for purposes of consumption repeatedly or continuously over a period of a year or more.⁶⁴
17.57 Households acquire durable goods, such as cars and electrical goods. These are not considered fixed assets and are not included in the calculation of net worth as they are not used in the production process that gives rise to household services. However, as they are goods consumed over a long period of time, it is useful to have data on these types of goods, and so they are included as a memorandum item in the national balance sheets.
17.58 Consumer durables include motor vehicles; furniture and floor coverings; household appliances; tools and equipment for house and garden; audio and visual equipment; other durable goods for recreation and culture; jewellery, clocks, and watches; and therapeutical medical appliances.
17.59 The current price estimates and price indexes are obtained from the ABS publication, Australian System of National Accounts for household final consumption expenditure. Estimates for asset lives, consumption of fixed capital and retirement patterns have been obtained from Katz and Herman (1997).⁶⁵
17.60 Consumer durables are valued using the Perpetual Inventory Method. Period to period investment is added to the consumer durables stock and retired assets and consumption of fixed capital are deducted.
Direct investment
17.61 It is analytically useful to have data on the stock of investment in Australia by non-residents and the stock of investment abroad by residents. These data come from the ABS publication, Balance of Payments and International Investment Position, Australia.
Uses of the balance sheet
17.62 The monetary estimates of natural resources contained in the balance sheet are underpinned by a dataset of physical estimates detailing levels of particular natural resources. The monetary estimates of natural resources should be considered in conjunction with the physical estimates, especially for mineral and energy resources and permission to use natural resources. The estimates provide information for monitoring the availability and exploitation of these resources and for assisting in the formulation of environmental policies.
17.63 Data on the level and composition of assets and liabilities indicate the economic resources of (and claims on) a nation, and are inputs to assessments of the nation's external debtor or creditor position.
17.64 Sectoral balance sheets provide information necessary for analysing several topics. Examples include determining household spending behaviour and liquidity and the computation of widely used ratios, such as assets to liabilities, net worth to total liabilities, non-financial to financial assets, and debt to income. The level of household saving and the household saving ratio in Australia are important analytical aggregates. Sector balance sheets provide additional information on the relationship between consumption and saving behaviour.
17.65 A quarterly balance sheet for the household sector is published in Australian National Accounts: Finance and Wealth. It permits an analysis of the short-run impact of wealth (acquisitions of assets, real holding gains and losses) on the saving and consumption behaviour of households, in conjunction with an analytical table on household income, consumption, saving and wealth. An example is how fluctuations in property prices or equity values can explain changes in quarterly household wealth, and, in turn, household saving and consumption (see paragraph 20.42 for more information). The 2008 SNA discusses household balance sheets in Chapter 24 The Household Sector (see paras. 24.73 - 24.83).
Endnotes
Chapter 18 External account
18.1 All current transactions between Australian residents and non-residents are recorded in the external income account. The income of non-residents includes Australia's imports of goods and services, compensation payable to non-resident employees, property income receivable from Australia and other current transfers from Australia. The use of income side shows Australia's exports of goods and services, compensation payable by non-residents to Australian employees, property income payable to Australia and other current transfers to Australia. The balance on the external income account represents net lending to non-residents: positive net lending to non-residents corresponds to a surplus on current transactions and negative net lending corresponds to a deficit. Aside from some presentation differences, the external income account shown in the national accounts is the same as the current account in balance of payments statistics. For more detail on the compilation of the external account, refer to the ABS publication, Balance of Payments and International Investment Position, Australia: Concepts, Sources and Methods.
18.2 The external capital account shows, on one side, the balance on external current transactions (from the external income account) and net capital transfers receivable from Australian residents. On the other side, net acquisitions of non-produced non-financial assets by non-residents are shown. The balance is net lending from non-residents to Australia.
18.3 The external financial account records all transactions in financial assets between Australian residents and the rest of the world. The balancing item in the external financial account (that is, net acquisition of financial assets less net incurrence of financial liabilities) is conceptually equal to the balancing item in the external capital account. However, in practice a statistical discrepancy is required to achieve balance.
18.4 The external balance sheet records Australian residents' assets in the rest of the world and non-residents' assets in Australia. The balancing item is Australia's net international investment position, which is a component of Australia's net worth.
Chapter 19 Productivity measures
Introduction
19.1 The ABS produces annual indexes of labour and multifactor productivity (MFP) for the market sector as well as for each industry division within the market sector. The ABS also produces quarterly estimates of labour productivity (i.e. GDP per hour worked) for the market sector and for the whole economy, and quarterly and annual GDP per capita. The annual productivity measures for the market sector are published in Australian System of National Accounts (ASNA), and annual industry level MFP indexes in Estimates of Industry Multifactor Productivity. Quarterly indexes of GDP per hour worked are published in Australian National Accounts: National Income, Expenditure and Product (NIEP).
19.2 Estimates of industry level KLEMS (Capital (K), Labour (L), Energy (E), Materials (M) and Services (S)) multifactor productivity (MFP) for the 16 market sector industries are also published from 1995–96, in Estimates of industry level KLEMS Multifactor Productivity (KLEMS). The KLEMS datacube is supported by the companion Information Paper: Experimental Estimates of Industry Level KLEMS Multifactor Productivity, 2015.
19.3 Productivity is typically measured as output divided by input; that is, as output per unit of input. Partial measures of productivity take into consideration a single input like labour or capital. Labour productivity is frequently used as an indicator of productivity growth, which is simply measured as output per hour worked. When multiple inputs such as labour and capital are taken into consideration, it is called multifactor productivity (MFP), which is measured as output per unit of a combined bundle of labour and capital.
19.4 Of specific interest to economists are the underlying causes of economic growth. Typically, single indexes are not sufficient for this purpose. Labour productivity indexes reflect not only the contribution of labour to changes in production per labour unit, but are also influenced by the contribution of capital and other factors affecting production such as technological change. In comparison, MFP measures offer more comprehensive explanations to the sources of output growth. Specifically, MFP statistics are designed to inform how much economic growth originates from productivity growth (increased outputs from the same quantity of inputs) and how much from increased inputs (increased outputs from more capital goods or additional working hours). MFP, therefore, is most commonly used in rigorous productivity analysis.
19.5 The MFP measures are compiled in the standard growth accounting framework, which originates from the neoclassical theory of economic growth formulated by Solow.⁶⁶ In the original Solow growth accounting framework, the stock of capital was used as a measure of capital input, and labour input was measured as hours worked without accounting for compositional changes in the labour force. Using his traditional growth accounting framework, Solow attributed almost all of the U.S. economic growth to the productivity growth, measured as the well-known Solow residual.
19.6 In comparison, the modern growth accounting framework is characterised by incorporation of quality changes into the measurement of capital and labour input.⁶⁷ The major cornerstone underlying this development was the introduction of constant quality indexes of capital and labour inputs by Griliches and Jorgenson⁶⁸ and Jorgenson, Gollop & Fraumeni.⁶⁹ Within the modern growth accounting framework, a substantial fraction of the Solow residual (technical progress) can be explained by changes in the quality of inputs. The part of technical progress captured in constant quality of input indexes is referred to as embodied technical progress, while disembodied technical progress relates to spill-over effects through diffusion of advances in science and technology, which is beyond the input measurement. In this context, productivity growth (technical progress) within the modern growth accounting framework is interpreted as disembodied technical progress. According to the modern growth accounting analysis, economic growth is largely driven by input growth and (disembodied) technical progress contributes only a small proportion.
19.7 The OECD has produced a number of handbooks and manuals to set out a guide for 'best practice' in productivity measurement by statistical agencies, to assist official statistical agencies to compile MFP statistics employing the growth accounting framework.⁷⁰ The ABS was a major contributor to the development of the OECD Capital Manual, which is an important document for guiding practitioners on how to measure the capital services component of productivity measures.⁷¹
19.8 The methods used by the ABS in compiling productivity statistics align with international best practice as implemented by most OECD countries. The ABS MFP statistics are compiled on the basis of the standard growth accounting framework, which is widely adopted by leading statistical agencies and recommended by the OECD.
19.9 In 1989, ABS first released its experimental MFP estimates in the information paper, Development of Multifactor Productivity Estimates for Australia, 1974-75 to 1987-88.⁷² In 1990, the detailed technical issues in relation to those preliminary MFP estimates were covered in the occasional paper: Estimates of Multifactor Productivity Australia.⁷³ Estimates of MFP were first included in the publication, Australian National Accounts: Multifactor Productivity, released in June 1994. From 1999, the aggregate MFP statistics were incorporated into the ASNA.
19.10 The availability of supply-use tables since 1998 makes it possible to compile industry level MFP statistics and KLEMS growth accounts. The ABS started to compile and release industry level MFP statistics data cube since 2007, and, since 2015, KLEMS growth accounts. Both data cubes provide MFP estimates for individual industries in the Australian economy. They go beneath the aggregate economy in order to measure the productivity of individual industries.
Endnotes
Concepts
Labour productivity
19.11 Labour productivity is defined as a ratio of some measure of output to labour input; that is, output per unit of labour. Labour productivity is usually expressed in terms of growth rate.
19.12 Labour productivity is widely used for making historical, inter-industry and inter-country growth comparisons. Furthermore, labour productivity is often regarded as an indicator of improvements in living standards as growth in labour productivity has a close long-term relationship with growth in labour earnings.
19.13 Labour productivity has a close relationship to multifactor productivity. In the growth accounting framework, growth in labour productivity can be decomposed into growth in capital deepening (the ratio of capital to labour), growth in labour quality and growth in MFP. More detail is provided in Annex 19B.
Capital productivity and capital deepening
19.14 Capital productivity is defined as a ratio of some measure of output to capital input; that is, output per unit of capital. Obviously, changes in this ratio can also reflect technological changes, and changes in other factor inputs (such as labour).
19.15 The measure of capital input used by the ABS in its estimates of capital productivity is the flow of capital services coming from the stock of capital and most assets are estimated using the Perpetual Inventory Method (PIM). They are calculated by weighting chain volume measures of the productive capital stock of different asset types together using their rental prices in the weights. Rental prices can be regarded as the 'wages' of capital.
19.16 Capital deepening (or capital intensity) refers to changes in the capital to labour ratio. Increased capital deepening means that, on average, each unit of labour has more capital to work with to produce output, so is an indicator of ability to augment labour. Labour saving practices, such as automation of production, will result in increased capital deepening, which is often associated with a decline in capital productivity. Thus, growth in capital deepening is an important driver (alongside MFP) of labour productivity growth. It may not be very useful to interpret declines in capital productivity in isolation since declines in capital productivity can be more than offset by labour productivity (resulting in MFP growth).
Multifactor productivity
19.17 MFP is defined as a ratio of some measure of output to a combined input of multiple factors, such as labour and capital. In empirical analyses, it is expressed in terms of growth rate; that is, growth rate of output minus the growth rate of inputs.
19.18 At the aggregate and industry level, MFP is defined as the ratio of real value added to the combined inputs of capital and labour. At an industry level, MFP is also measured as the ratio of gross output to the combined inputs of capital, labour, and intermediate inputs.
19.19 In the productivity measurement literature, gross output based MFP is a preferred measure at a disaggregated level, as it requires less restrictive assumptions (see Jorgenson et al., 2005 and Diewert, 2008).⁷⁴ Ideally, MFP measures disembodied technical change attributable to improved use of factor inputs. In the case of gross output, this efficiency can be attributed to improvements in not only the use of primary inputs, capital and labour, but also in the use of intermediate inputs.
The KLEMS growth accounting framework
19.20 The KLEMS growth accounting framework is a useful tool in addressing the challenge of developing more detailed industry performance indicators for the formulation and evaluation of policies involving long–term growth, efficiency and competitiveness. It provides, through a more detailed statistical decomposition, more information on the inputs contributing to output growth, and production efficiency. This helps policy makers and economists to identify factors associated with economic growth, such as structural changes in industry’s input mix, particularly with regards to the relative contribution from the intermediate inputs. This also facilitates a more disaggregated analysis of the industry origins of aggregate productivity growth, such as changes in the relative importance of input components over time.
19.21 Within intermediate inputs, the classification into energy (E), materials (M) and services (S) is beneficial in that they have distinctively different roles in the production process. This helps in evaluating trends in the way industries interact. One key interaction is that the intermediate input components reflect renting, hiring and out-sourcing between industries. An industry’s reliance on primary inputs relative to intermediate inputs may change due to changes in leasing and hiring arrangements rather than the productive process itself. When capital is rented under an operational lease arrangement from a firm in another industry, the use of the capital is classified as an intermediate input of the lessee. For example, a construction company may lease a crane from the rental and hiring industry, which is recorded as a service component in the intermediate inputs of the lessee and as capital services by the lessor in the rental and hiring industry.
19.22 The intermediate inputs indices for energy, materials and services and their respective shares are sourced from the supply-use tables compiled by the ABS. The main advantage of deriving the indices and shares for energy, materials and services using this method is to control for heterogeneity in both the prices and volumes of the components and to recognise more explicitly that the way in which each of these components contributes to production differs. A key development in the S-U tables has been the wider application of the double deflation method; that is, real output and real intermediate inputs are derived separately for most industries. By sourcing more specific price deflators, the approach enables improved volume estimation, particularly for intermediate inputs.
Measured productivity and technical progress
19.23 It is useful to distinguish between measured productivity and technical progress in productivity analysis. Productivity statistics aim to measure technical progress or the efficiency of production. In practice, productivity changes are measured by the difference between the growth in the volume of output and the growth in the volume of inputs, reflecting more than just technical progress. Year-to-year changes also contain 'noise' that is distinct from the notion of technical progress; it is therefore advisable to examine productivity changes over an extended period to look through some of the short-term volatility.
19.24 Although, from a conceptual standpoint, MFP can be interpreted in various ways, a key interpretation of MFP is as disembodied technological change attributable to improved use of factor inputs. Embodied technological change represents advances in the design and quality of new capital and intermediate inputs. Disembodied technological change is generally interpreted as representing costless improvements or knowledge, for example, network effects or spillovers from diffusion of publicly available R&D, and benefits to factor inputs from organisational change or better management. These spillovers and other benefits to factor inputs are generally not quantifiable within the KLEMS growth accounting framework.
19.25 At the industry level, ABS publishes both gross output-based MFP and value added-based MFP – they are complementary. One advantage of the gross output-based MFP approach is that it is a natural output concept⁷⁵ and consistent with the traditional production theory linking output to primary as well as intermediate inputs. By comparison, the value added-based MFP approach assumes that the components of value added are separable from that of intermediate inputs.⁷⁶ ⁷⁷
19.26 For a given industry, the relationship between changes in gross output-based MFP and value added-based MFP can be approximated by:
\(\large \Delta \ln GO\;MFP_i^{} \approx \frac{{V{A_i}}}{{G{O_i}}}\Delta \ln VA\;MFP_i^{}\)
where \(\small{\frac{{V{A_i}}}{{G{O_i}}} , \Delta \ln GO\;MFP , \Delta \ln VA\;MFP}\) are the two period average of the ratio of nominal industry value added to nominal industry gross output, rate of change in gross output-based MFP, and rate of change in value added-based MFP, respectively.⁷⁸ Since this ratio is always less than unity, gross output-based MFP will always have less amplitude than value added-based MFP, i.e. rise less and fall less. However, the degree to which they differ varies from industry to industry, due to both the variation in each industry’s relative value-added proportion, as well as the degree to which the ratio changes over time. At an aggregate level, the value-added concept is more appropriate as it removes inter–industry transfers.
19.27 In interpreting MFP, it should be noted that measured productivity growth could include factors other than technological change, for example adjustment costs, cyclical effects and measurement errors.⁷⁹ A limitation of MFP theory is that the assumptions of the neoclassical models do not necessarily hold in practice, which can affect the interpretation of the resulting estimates. For example, imperfect competition can result in gains from increasing market dominance being reflected as productivity gains. Additionally, in static models of production, such as the one used in estimating KLEMS MFP, capital is an exogenous input, which ignores dynamic feedback between MFP and capital. For example, if technological change increases output per person, the additional output per person may lead to further savings and investment and thus a rise in the capital–labour ratio. While traditional growth accounting identifies this induced effect as the contribution of capital growth, the effect can be attributed to an initial shift in technology. Therefore, MFP measures may understate the importance of productivity growth in contributing to output growth.
19.28 The methodology used in compiling the estimates implicitly assumes that the proportion of capital stock used in production (capital utilisation) does not change; therefore any real world change in the extent to which capital is utilised in production will be recorded as a change in productivity. Another assumption of the methodology is each hour of labour input is fully utilised in production. Further, improvements in output due to a firm’s ability to produce more output because of their size, that is, economies of scale, will also appear as a measured productivity improvement.
Endnotes
Data sources and methods
The scope of measurement
19.29 The growth accounting framework is initially developed for measuring productivity in the private sector of the economy. As such, MFP statistics relate to selected industries rather than the whole economy. Ideally, MFP measures should cover all market economic activities, but this is only possible if all of the necessary data are available.
19.30 For this reason, official MFP estimates internationally are confined to particular industries in the private sector, with varying degrees of coverage depending on data suitability and availability. Statistics Canada terms their coverage as the business sector, and Statistics New Zealand labels their coverage as the measured sector. In Australia, the ABS labels the relevant group of industries as the market sector. This grouping is used to present economic statistics including MFP estimates in the ASNA.
The market sector
19.31 The market sector comprises sixteen industries under the Australian and New Zealand Standard Industrial Classification, 2006 (ANZSIC06); that is, from ANZSIC06 Divisions A to N, plus Divisions R and S. The detailed industries included in the market sector are as follows:
Division | Industry |
---|---|
A | Agriculture, Forestry and Fishing |
B | Mining |
C | Manufacturing |
D | Electricity, Gas, Water and Waste Services |
E | Construction |
F | Wholesale Trade |
G | Retail Trade |
H | Accommodation and Food Services |
I | Transport, Postal and Warehousing |
J | Information, Media and Telecommunications |
K | Financial and Insurance Services |
L | Rental, Hiring and Real Estate Services |
M | Professional, Scientific and Technical Services |
N | Administrative and Support Services |
R | Arts and Recreation Services |
S | Other Services |
19.32 Under the Australian and New Zealand Standard Industrial Classification 1993 (ANZSIC93), the market sector consisted of twelve industries (Divisions A to K and P). Coinciding with the implementation of ANZSIC 2006, the ABS expanded the scope of the market sector to include four new services industries (Divisions L, M, N and S – see above). The expanded definition improves relevance in two key respects: it reflects the growing influence of services industries in the economy; and improves economic coverage.⁸⁰
19.33 While the new definition of market sector results in much improved coverage of the total Australian economy, the time span available for constructing meaningful productivity indicators is shortened. Productivity measures for the expanded coverage commence in 1994-95, when suitable output measures for the newly added industries become available. Prior to 1994-95, volume estimates of gross value added in Divisions L, M, N and S were derived (in part) using input indicators (such as hours worked).
19.34 Since the 2009-10 issue of ASNA, the ABS MFP statistics have been presented in line with the new definition of the market sector. As such, these productivity measures are based on significant changes in coverage, and do not represent updated estimates to past releases. The current estimates are not directly comparable to those published in past releases due to significant changes in coverage.
Twelve selected industries
19.35 The time span available for constructing meaningful productivity indicators is shortened while the expanded definition of the market sector results in much improved coverage of the total Australian economy. To accommodate user requirements for longer time series of MFP statistics, ABS continues to compile aggregate MFP statistics for the group of twelve selected ANZSIC06 industries (divisions A to K and R). Commencing 1973-74, this aggregate is the nearest approximation to the earlier definition of the market sector grouping under ANZSIC93, and is useful for analysing productivity performance from the perspective of a longer time series.
19.36 Both the market sector and twelve selected industries include all institutional sectors, as well as general government attributable to those industries. Conceptually, there is a strong justification for netting out the general government component of each industry because general-government activity is mainly not marketed. It has not been removed because of the difficulty of excluding general government components from outputs and inputs. In any case, general-government activity only accounts for a very small portion of most market-sector industries.
The non-market sector
19.37 The industries included in the 'non-market sector' are:
- Public Administration and Safety;
- Education and Training;
- Health Care and Social Assistance; and
- Ownership of Dwellings.
19.38 The production of these government-dominated industries largely comprises those goods and services which fall within the production boundary of the national accounts but are not for sale, or not sold at full market prices. Examples are the provision of government services which relate to the community as a whole, or for which no charge (or a purely nominal charge) is made. Ownership of dwellings is excluded from the market sector because no employment is associated with it.
19.39 Aggregate measures of labour productivity (gross value added per hour worked) are published for the total of all industries (including the non-market sector); for the market sector; and for twelve selected industries. Indexes of gross value added per hour worked are also published for each individual industry in the ASNA.
Endnotes
The measurement of output
19.40 By the SNA definition, output consists of those goods and services that are produced within an establishment (or plant) that become available for use outside establishment, plus any goods and services produced for own final use. This definition of output is equivalent to the gross output definition in the productivity measurement.
19.41 The gross output definition is preferred because it is a natural output concept and consistent with the traditional production theory which links output to primary as well as intermediate inputs.⁸¹ Hulten argues that gross output 'is the correct concept for measuring the structure of production'.⁸²
19.42 To facilitate the comparisons of productivity performance across different industries, a value-added concept is developed in the productivity measurement. This definition is based on the assumption that the components of value added are separable from that of intermediate inputs. The assumption of value-added output at the industry level also implies a specific way that productivity growth affects the usages of primary and intermediate inputs.⁸³
19.43 At an aggregate level, the value-added concept is more appropriate as it needs to remove inter-industry transfers in aggregating industry outputs to derive the total output of the component industries. In this context, the aggregate value-added output definition does not contradict the gross output concept at the corresponding disaggregate level.
19.44 The implications of alternative output measures on the interpretation of MFP measures are discussed in paragraphs 19.25-19.26.
19.45 There are three output measures in the ABS productivity statistics:
- industry gross output;
- industry value added; and
- aggregate value added.
Industry gross output
19.46 Gross output refers to the value of goods and services produced in the accounting period, including production that remains incomplete at the end of that accounting period. While this definition is straightforward for goods-producing industries, some clarification of treatment is useful for service industries such as Transport, Postal and Warehousing, Wholesale Trade and Retail Trade:
- The gross output of transport services is measured by the amounts receivable for transporting goods or persons. That is, the transporting from one location to another is a process of production and is referred to as a transport margin that adds to the quality from the same good as it changes location;
- The activity of storage relates to the 're-transporting' of goods from one point in time to another (as opposed to locations in the instance of transport services). So the increase in price due to storage reflects storage costs incurred as a production process;
- The main output of the wholesale and retail trade industries is the value of the service provided in selling goods (i.e. goods purchased and resold are not treated as part of intermediate consumption). The value of the service is equal to the trade margins realised on the goods sold.
19.47 The measurement of these services at basic prices is analogous to that for goods producing industries: output at basic prices is the value of the trade margins, including the value of any subsidies received, and excluding taxes on production of the service.
19.48 Much of the gross output of finance and insurance industry needs to be estimated indirectly. In the ASNA, FISIM is an output of banks, other depository corporations, central borrowing authorities and securitisers. For banks and other depository corporations it is the sum of the imputed service charges for both borrowers and depositors while, for central borrowing authorities and securitisers, it is the sum of the imputed service charge for borrowers. Similarly, the value of the insurance service charge, which forms part of the output of insurance and pension funds, is estimated indirectly from the total receivables and payables of insurance enterprises, including the income accruing from the investment of technical reserves.
Intermediate inputs
19.49 Intermediate inputs are the value of goods and services consumed as inputs into the production process. These goods and services may be transformed or completely used up. Capital leased from other industries is also included in intermediate inputs and recorded in services. The boundary between consumption of intermediate inputs and gross fixed capital formation is not always clear. In general, intermediate inputs are goods and services that are immediately transformed or used up in the process of production within one year while gross fixed capital formation involves the acquisition of capital assets which contribute to production for more than a year. Also included in intermediate consumption is the value of all goods and services used as inputs into ancillary activities.
19.50 The separation of intermediate inputs into the three categories – energy, materials and services can be useful for analysis of the effects of changes in the input mix on output growth. For example, increases in the proportion of services intermediate inputs could reflect growth in out-sourcing. Separate deflators are used to deflate each input to derive a Laspeyres volume index for intermediate inputs.
19.51 The intermediate inputs indices for energy, materials and services and their respective shares are sourced from the supply-use tables compiled by the ABS. The classification of supply–use products into these three categories is provided in Appendix 2 of the KLEMS Information paper. Data for the three non–market industry divisions (i.e. Public administration and safety, Education and training, Health care and social assistance) are excluded.
19.52 The main advantage of deriving the indices and shares for energy, materials and services using this method is to control for heterogeneity in both the prices and volumes of the components and to recognise more explicitly that the way in which each of these components contributes to production differs. A key development in the supply-use tables has been the wider application of the double deflation method; that is, real output and real intermediate inputs are derived separately for most industries. By sourcing more specific price deflators, the approach enables improved volume estimation, particularly for intermediate inputs.
19.53 The supply-use table is a powerful tool to compare and contrast data from various sources and improve the coherence of the economic information system. It reconciles the supply of products within the economy within an accounting period with their use for intermediate consumption, final consumption, capital formation, and exports. They permit an analysis of markets and industries and allow productivity to be studied at this level of disaggregation. The S-U table tracks the production and consumption of 301 groups of products across 67 groups of industries in a time series stretching back to 1994–95. These groupings facilitate the aggregation of product groups into energy, materials and services. Shown in Table 3 is a representation of the intermediate use component of the supply-use table. The tables are calculated on both a current price basis (for estimating the KLEMS cost shares) and volume basis (for deriving the KLEMS indices for energy, materials and services).
Industry value added
19.54 Industry value added is equal to the total value of gross outputs at basic prices less the total intermediate consumption at purchasers' prices.
19.55 A key development in the supply-use tables has been the wider practice of using the double deflation method; that is, real gross value added and real intermediate inputs are derived separately for most industries. By sourcing more specific price deflators, the approach enables improved volume estimation, particularly for intermediate inputs.
Aggregate outputs
19.56 The aggregate output for the market sector (or twelve selected industries) is the sum of gross value added produced by the component industries at basic prices. Basic prices are the prices producers receive and exclude taxes less subsidies on products. This valuation is consistent with the recommendations of the 2001 OECD Manual - Measuring Productivity, which states that:
From the perspective of productivity measurement, the choice of valuation should reflect the price that is most relevant for the producer's decision making, regarding both inputs and outputs. Therefore, it is suggested that output measures are best valued at basic prices.⁸⁴
19.57 The basic price valuation aligns the concept of production with that of factor incomes which include other taxes less subsidies on production and imports. Since industry value added is also at basic prices, the industry shares of aggregate output to sum to unity. Moreover, valuation consistency is necessary for additive growth accounting between industry and aggregate productivity measures.
19.58 The aggregate output measure for calculating the economy wide labour productivity, i.e. GDP per hour worked, is valued at purchasers' prices, inclusive of taxes less subsidies on products.
Productivity growth cycles
19.59 Productivity growth accounts are most useful when presented over productivity growth cycles. MFP growth cycles are defined as periods between selected peak deviations of annual MFP from their corresponding long-term trend estimates. MFP is widely used as an indicator of technological change. In the short to medium term, MFP estimates are subject to data limitations and assumptions, such as variations in capacity utilisation, economies of scale and scope, reallocation effects of capital and labour, and measurement error.
19.60 Variations in the utilisation of inputs would ideally be measured as changes in inputs when MFP is calculated. However, due to current data limitations, reliable information for adjusting capital service flows for variation in utilisation are not available.⁸⁵
19.61 Growth cycle averages, within the growth account not only scale the growth according to its contribution, average growth rates between growth-cycle peaks dampens cyclically related distortions like capacity utilisation rate. To facilitate this, the growth cycle peaks need to be selected. They are chosen with reference to peak deviations which are determined by comparing MFP estimates with their corresponding long-term trend. The peak positive deviation between these two series is the primary indicator of a growth-cycle peak. General economic conditions at the time are also considered. In this way, most of the effects of variations in capacity utilisation and much of the random error is removed. However, average growth rates may still reflect any systematic bias resulting from the methodology and data used.
19.62 The ABS publishes growth cycles in both the ASNA and in Estimates of Industry Multifactor Productivity. They are available for the market sector, 12 selected industries, and each market sector industry.⁸⁶
19.63 In addition, the approach used to identify growth cycle peaks has been strengthened to ensure that growth cycle peaks are resilient to revisions to upstream data sources by adopting a multiple filter approach. In addition to the Henderson 11 filter, the Hodrick and Prescott⁸⁷, and Christiano and Fitzgerald⁸⁸ filters are used. The multiple filter approach copes better with volatility for lower aggregates (like industry) than any single filter.
19.64 For industry growth cycles, a peak is considered robust if deviations equal to, or greater than one percentage point are identified by all three filters. Where identified robust peaks were found less than four years apart (peaks inclusive), additional rules were required to obtain growth cycles of a reasonable length. Additional criteria include:
- Choosing the peak with the relatively largest deviation;
- If the difference in deviation is negligible, choose the peak which produces the longer cycle;
- If the two adjacent peaks have a similar deviation size and suggest a similar cycle length, assess with the prevailing macro-economic conditions;
- Consider the ‘nearly’ robust peaks (i.e., suggested by the three filters but with a deviation of less than one percentage point) next to neighbouring troughs; and
- Test for deterministic trend.⁸⁹
19.65 Growth cycles are also available for industries that have long periods of decline in MFP growth. Peaks in this context still represent a deviation from a (declining) trend, and thus indicate where an industry has halted the decline in productivity for a short period. This phenomenon can be seen in Mining and Electricity, gas, water and waste services, and Rental, hiring and real estate services.
Estimates of state productivity
19.66 The method adopted to estimate experimental State Multifactor productivity (MFP) - output produced per unit of combined inputs of labour and capital - aligns with the concepts and definitions used for MFP industry and market sector aggregates.
19.67 State output and experimental capital stock data is sourced from Australian National Accounts: State Accounts while labour inputs are sourced from Labour Force, Australia. State output is defined as Gross Value Added (GVA) in chain volume terms while labour inputs are defined as hours worked.
19.68 A number of simplifying assumptions have been adopted in addition to those adopted at the national level. Where State level data is unavailable, national industry proportions are applied to impute the missing values:
- National inventories are allocated to States using State current price GVA proportions for the stock of inventories, as a State dimension is not available. The ABS also compared allocations using estimated resident population proportions and found that the State MFP aggregates were not sensitive to either choice.
- To separate State by industry combined gross operating surplus and mixed income (GOSMI) into its components, gross mixed income (GMI) is estimated using the same industry’s GMI proportion in GOSMI at the national level. GMI was then split into income attributable to capital and labour using the same method to impute labour and capital shares of GMI at industry national level.
19.69 Rental prices by State by industry are imputed using the national industry asset rental prices. This method assumes there is no variation in price between the States for any given asset in a given industry for the same year. For example, the rental price of other transport equipment in wholesale trade is assumed to be the same across all States and territories. This simplifying assumption is not expected to distort rental prices significantly because, in estimating state capital stock, the nationally assumed asset lives (and therefore depreciation rates), and GFCF price indexes were applied to the same assets at State level. Importantly, for any given asset, variations in the rental prices between industries are completely captured under this method.
Data sources
19.70 National accounts data constitute the source of output measures required by a variety of productivity measures. Output data for the annual MFP statistics are sourced from the Supply Use tables which are used as the key framework for balancing national accounts at the ABS. The industry gross output is the basic ingredient of output measures. Industry gross output equals value added based output plus intermediate inputs and is used in the KLEMS growth accounting framework.
19.71 Chapter 9 describes the definitions of gross output, intermediate inputs and gross value added in detail, and Tables 9.1 to 9.32 outline the data sources and methods used in the estimation of each of these for each industry. For the years from 1994-95 up to the year previous to the latest year, these estimates have been compiled using Supply Use tables and are in balance with the expenditure estimates. The main data source for non-financial corporations and non-profit institutions serving households (NPISH) in the annual benchmarks is the Annual Industry Survey (AIS), the results of which are published in Australian Industry.
Endnotes
The measurement of capital input
19.72 The measurement of capital input is concerned with estimating the contribution of capital to the production process; that is, the flow of capital services from the capital stock used in the production process. Capital services have both quantity and price dimensions. The quantity of capital services represents hours a machine is used or months a building is occupied. The price dimension, called the rental price, represents an hourly rate for using the machine or a monthly rate for occupying a building.
Productive capital stock and quantity of capital services
19.73 The quantity of capital services is estimated by assuming that capital services produced by an asset are proportional to the value of productive capital stock of the asset; that is:
\(\large K_t = u_t PKS_t\)
where \(K_t \)is the quantity of capital services, and \(PKS_t \)is the productive capital stock and \(u_t\) is the capacity utilization rate.
19.74 The capacity utilization rate is assumed to be constant over time. This assumption has two implications. First, as \(u_t\) is constant and invariant to time, a change in the quantity of capital services delivered from any given capital asset is tantamount to a change in its productive capital stock. Second, variations in the utilization of the capital stock are not accounted for in the estimation of its capital services, and as a consequence changes in the capital services over time may reflect the impact of short-term business cycles, other than movements of capital input.
19.75 The productive capital stock estimates are derived from data on gross fixed capital formation (except inventories and land), using the PIM. The essence of this method is to transform all capital assets of different vintages into equivalent efficiency units and then add them up into an estimate of the productive capital stock. Chapter 14 provides a full description of the procedures used to derive the productive capital stock. Chapter 10 provides a full description of the data sources and procedures used to compile estimates of gross fixed capital formation.
Imputing rental prices
19.76 In estimating the value of labour services, statisticians can directly observe labour rental prices as wage rates paid to workers. In the case of capital however, the rental prices for capital have to be imputed. The rental price reflects the price at which an investor is indifferent between two alternatives:
- earning a nominal rate of return on a different investment; and
- buying a capital asset, renting it out, collecting rent and selling it in the next period.
19.77 A standard specification for the capital rental price in the absence of taxes is the arbitrage equation⁹⁰:
\(\large P_j,_{t-1}(1+i_t) = r_{j,t}+(1-δ_j)P_{j,t}\) - - - - - - - (19.1)
where \(i_t\) is the nominal interest, \(P_{j,t-1}\) is the acquisition price of capital asset \(j\) at the beginning of the period, \(r_{j,t}\) is the rental price, \(P_{j,t}\) is the price of capital asset j at the end of the period and \(δ_{j,t}\) is the rate of economic depreciation.
19.78 This can be rearranged into the expression:
\(\large r_{j,t}=i_tPj_{,t-1}+δ_{j,t}P_{j,t}- \pi _{j,t}\) - - - - - - - (19.2)
where \(\pi_{j,t} = P_{j,t} - P_{j,t-1}\) is the asset-specific capital gains term.
19.79 Equation (19.2) shows that the capital rental price consists of three components: the rate of return to capital, the depreciation rate and the capital gain or loss due to revaluation. The industry dimension is supressed here.
19.80 When tax considerations are given to the measurement of capital rental prices (both capital income taxes and indirect business taxes), the tax-adjusted rental price equation becomes:
\(\large r_{i,j,t}=T_{i,j,t}(i_{i,t}P_{i,j,t-1}+δ_{j,t}P_{i,j,t}-π_{i,j,t})+x_{i,t}P_{i,j,t-1}\) - - - - - - - (19.3)
where \(i\) indexes industries, \(T_{i,j,t}\) is the income tax parameter and \(x_{i,t}\) is the effective net indirect tax rate on production. The description of data sources for constructing the tax parameter is provided in Annex C.
19.81 The rate of return to capital \(i_t\) can be estimated by either endogenously or exogenously. Under the endogenous approach, the total value of capital services in each industry is assumed to be equal to the compensation for all assets in that industry. The resulting internal rate of return exhausts capital income and is consistent with constant returns to scale. The nominal rate of return is the same for all assets in an industry but may vary across industries.
19.82 In the case of the exogenous approach, the nominal rate may equal the Treasury bond rate, or the dividend yield on a stock index. This method allows the value of capital income to deviate from property compensation, assuming imperfect competition and non-constant returns to scale. For a detailed discussion of these two alternative methods and associated sensitivity analysis, see Appendix 2 Sensitivity Analysis of Capital Inputs, in the Information paper, Experimental Estimates of Industry Multifactor Productivity.
19.83 The ABS follows the endogenous method in producing its official productivity estimates. For the corporate sector, iit, is solved for all assets in each industry by assuming that gross operating surplus, \(GOS_{it}\) equals the rental price multiplied by the real productive capital stock in each industry:
\(\large GO{S_{i,t}} = \sum\limits_j {{r_{i,j,t}}{K_{i,j,t}}}\) - - - - - - - (19.4)
and substituting for the rental price in equation (19.4) giving:
\(\large GO{S_{i,t}} = \sum\limits_j {{K_{i,j,t}}\left( {{T_{i,j,t}}\left( {{i_{i,t}}{P_{i,j,t - 1}} + {\delta _j}{P_{i,j,t}} - {\pi _{i,j,t}}} \right) + {x_{i,t}}{P_{i,j,t - 1}}} \right)}\) - - - - - - - (19.5)
so
\(\large {i_{i,t}} = \frac{{GO{S_{i,t}} - \sum\nolimits_j {{K_{i,j,t}}\left( {{T_{i,j,t}}\left( {{\delta _j}{P_{i,j,t}} - {\pi _{i,j,t}}} \right) + {x_{i,t}}{P_{i,j,t - 1}}} \right)} }}{{\sum\nolimits_j {{K_{i,j,t}}{T_{i,j,t}}{P_{i,j,t - 1}}} }}\) - - - - - - - (19.6)
19.84 To prevent negative rental prices, the ABS imposes a floor limit on the internal rate of return of CPI plus 4 per cent; otherwise, the endogenous rate is used.
19.85 The depreciation of a capital asset measures the change in its real economic value during the accounting period. The depreciation rates are derived using asset age-price profiles. The age-price profiles are constructed by using corresponding age-efficiency profiles, multiplied by a suitable discount rate (the ABS chooses a real discount rate at 4 per cent). See Chapter 14 for the detailed description of age-efficiency and age-price profiles and their roles in constructing various capital components.
19.86 The capital gain or loss due to revaluation can be calculated as an asset-specific deflator or a general deflator. As defined in equation (19.3), the asset-specific capital term is used and calculated as the percentage change in the value of the asset in time t-1 relative to its value in time t. Alternatively, \(π_t\) can be replaced by a general price deflator such as the consumer price index. The former is preferred because it is able to account for the large changes in relative prices across heterogeneous asset classes and therefore reduces measurement errors. However, the disadvantage of using asset-specific deflators is that it often introduces volatility into the rental price equation.
19.87 The elemental capital inputs are compiled at a detailed level. There are capital input measures for up to 16 asset types for the corporate and unincorporated entities for each of the 16 ANZSIC industry divisions that comprise the market sector. For each capital input there is a volume indicator of the flow of capital services, and a rental price that is used to weight the service flow with the service flows of other capital inputs.
Capital service flows for fixed assets
19.88 The estimates of fixed assets from the PIM that are used to derive MFP are:
- machinery and equipment: computers and computer peripherals; electronic and electrical machinery and communications equipment; industrial machinery and equipment; road vehicles; other transport equipment; and other equipment;
- non-dwelling construction;
- ownership transfer costs of non-dwelling construction;
- intellectual property products: computer software; research and development; mineral and petroleum exploration; and artistic originals (Film and TV; music; and literary);
- orchards, plantations and vineyards; and
- livestock.
19.89 Ownership transfer costs relating to non-dwelling construction are allocated to industry using industry proportions of chain volume non-dwelling construction by industry. This approach assumes that the proportion of ownership transfer costs to non-dwelling construction at a point in time does not vary between industries.
Inventories
19.90 Volume estimates for the stock of inventory items are obtained for Divisions A to I (see Chapter 10 for more details). They are non-capitalised assets that are used up in the productive process and collected according to three categories:
- inventories of raw materials, including materials and fuels, spare parts designated for use in fixed assets, containers and packaging materials. Inventories of fuels for sale are included in inventories of finished goods;
- inventories of work-in-progress, including partially processed or fabricated goods which will be further processed prior to sale, and general work-in-progress less payments billed. Prepayments are excluded;
- inventories of finished goods, including goods manufactured or processed which are ready for sale, goods purchased from other businesses which are ready for resale without further processing, and fuels for sale. Hired goods, inventories of land, and rented or leased buildings are excluded.
Land
19.91 Land can be further classified as either agricultural (for ANZSIC Division A) or non-agricultural (for the other ANZSIC divisions). Volume estimates of agricultural and non-agricultural land and the corresponding rental prices are constructed separately.
19.92 The volume estimate for agricultural land is derived starting with a nominal estimate obtained from the National Balance Sheet in the ASNA. In particular, the value of 'Rural' land in the reference year is used. As there is no suitable price index for agricultural land, its volume is assumed to be constant over time. The estimates of land values are discussed further in Chapter 17.
19.93 Similarly, a volume estimate of non-agricultural land is derived starting with a nominal estimate of the market sector's non-agricultural land in the reference year. A benchmark estimate is obtained from the National Balance Sheet by multiplying total 'Commercial' and 'Other' land by the proportion of the stock of non-dwelling construction in the market sector. This estimate is then split by industry proportionally using the productive capital stock of non-dwelling construction in the reference year. Then for a given industry, the volume estimate is constructed by assuming that its growth rate is half the growth rate of the industry's real productive capital stock of non-dwelling construction.
19.94 To calculate the rental prices for land, proxy price indicators are used as suitable land price indexes are not available. For agricultural land, the total investment deflator for Agriculture, forestry and fishing is used for the years prior to 1995-96, and the All groups CPI thereafter. For non-agricultural land, the index is based on the weighted aggregation of commercial and industrial rent indexes for Australia's main capital cities, provided by a private sector contractor.
Operating leases and finance leases
19.95 The ABS classifies the use of capital as an intermediate input of the lessee when the capital is rented under an operational lease arrangement from a firm primarily operating in another industry. For example, a construction company may lease a crane from the rental and hiring industry, which is recorded as a service component in the intermediate inputs of the lessee and as capital services held by the lessor. If the proportion of the capital that is leased is changing it can affect value added productivity growth estimates. A reduction in the percentage of capital held within an industry over time, such as when a firm leases rather than purchases capital, would understate growth in the capital service index, which would have the effect of overstating value added MFP growth. For capital held under a long-term finance lease, the capital is treated as capital owned by the lessee and included in the productive capital stock estimates of the lessee industry.
Endnotes
Measurement of labour input
19.96 There are three common methods of measuring labour input:
- number of employed persons;
- hours worked; and
- quality-adjusted hours worked.
19.97 Indexes of hours worked are preferred to employment numbers because hours worked captures changes in overtime, standard weekly hours, leave, and part-time work. Quality adjusted hours worked further captures changes in the education and experience of the workforce. The ABS publishes productivity statistics on both an hours worked basis and quality adjusted hours worked basis.
Hours worked indexes
19.98 The ABS publishes indexes of hours worked for each ANZSIC06 industry, the market sector, and the whole economy in the ASNA.⁹¹ These indexes capture trends in hours worked and are derived from estimates of hours actually worked obtained from the Labour Force Survey (LFS). They measure the hours worked by all workers engaged in the production of goods and services by civilian wage and salary earners, employers, self-employed persons, unpaid family workers, and members of the Australian Defence Force.
19.99 For productivity measurement, the aggregate indexes of hours worked are considered to be of good quality, though they are published as indexes as levels may be subject to reporting bias. That is, there may be a tendency for respondents in the LFS to either overestimate or underestimate their hours worked. Industry levels of hours worked may also be subject to a reporting bias due both to the number of hours reported, as well as self-selecting the industry they work in.⁹² Industry-based hours worked levels are thus considered less reliable than the aggregate levels. The indices are expected to be of good quality since it is reasonable to assume that the bias does not change over time and so does not affect the growth rate.
19.100 The ABS surveys hours worked for one week in each month, so hours worked for the unobserved weeks are imputed. Adjustments are made for non-random events such as public and school holidays. The labour force survey collects hours worked by industry for the four mid-quarter weeks, so industry proportions for the representative week are assumed to hold for the quarter. Similarly, the arithmetic average of the four representative weeks of each quarter is used to estimate the annual industry proportions. Both of these methods assume that the effects of holidays and other seasonal factors are constant across all industries.⁹³ For a more technical description of the estimation method, see Research Paper: Estimating Average Annual Hours Worked.
Quality adjusted hours worked index
19.101 Measuring labour input as hours worked implicitly assumes that the workforce is homogeneous. That is, it does not recognise improvements to human capital due to the varying educational achievements and experience within the workforce. An alternative approach is to use quality adjusted labour inputs (QALI). QALI indexes are published for the market sector; each market-sector industry; and the twelve selected industries aggregates in Estimates of Industry Multifactor Productivity.⁹⁴
19.102 The quality changes in labour input are captured through accounting for heterogeneity across different types of workers. The traditional method of measuring labour input is to simply sum hours of all types of worker with identical weights. The modern growth accounting framework measures labour input as weighted aggregates of different types of workers with weights reflecting differences in productive capacity across different types of workers. In this way, increases in labour input can be divided between total hours worked and compositional changes in the labour force. As the workforce evolves with more educated workers replacing less educated workers, this compositional change can directly affect how much output can be produced from a given quantity of hours worked. The labour compositional change combined with labour share has become a standard method for quantifying the contribution of human capital to economic growth within the modern growth accounting framework.⁹⁵
19.103 The underlying conceptual framework for QALI is discussed in more detail in the Research paper, Quality-adjusted Labour Inputs, Nov 2005. Estimation methods have changed and are described below; in particular, of wage rates for each type of workers.
19.104 The workforce is cross-classified by sex, education and age groups. The details of this classification are provided in Tables 19.1 and 19.2.
Characteristic | Categories |
---|---|
Sex | Male |
Female | |
Education | Unqualified |
Skilled labour | |
Bachelor degree | |
Higher degree | |
Age | 15 to 24 years |
25 to 34 years | |
35 to 44 years | |
45 to 54 years | |
55 to 64 years |
Education category | Description |
---|---|
Unqualified | Workers with at most a high school qualification |
Skilled labour | Workers with a non-university post-secondary qualification (e.g. a TAFE qualification of an apprenticeship) |
Bachelor degree | Workers with a university degree other than a Masters or a Doctorate |
Higher degree | Workers with a Masters or a Doctorate |
19.105 Hours worked indexes for each group are combined as a Törnqvist index using income shares as the weights. So, a QALI index measures both changes in hours worked and changes in quality (that is, changes in educational achievement and experience). In the productivity growth accounts, the changes in quality are also referred to as labour composition.
19.106 The aggregate QALI indexes have grown faster than the corresponding unadjusted hours worked indexes, implying that labour quality has been increasing. Assuming that higher wages reflect a higher marginal product of labour, labour quality will increase when the high wage rate groups of workers increase their hours worked faster than the low wage rate groups.
19.107 MFP on an hours-worked basis has generally exceeded MFP on a quality adjusted hours worked basis. The difference in the MFP growth rates represents the change in labour composition, which is explicitly identified when the growth accounts are expressed on a quality adjusted hours worked basis.
19.108 Aggregate QALI indexes for the market sector and twelve selected industries are compiled using full Australian Census data. Note that since the census data are used, the inter-census periods are interpolated so care should be taken interpreting year on year changes in labour composition.
Endnotes
Capital and labour income shares
19.109 The capital and labour income shares, \( S_K\) and \(S_L\) are derived from the current price factor income accounts. For a given industry or aggregate, total income can be decomposed into:
- gross operating surplus (GOS) of corporations and general government;
- gross mixed income (GMI) of unincorporated firms;
- compensation of employees (COE); and
- taxes less subsidies on production and imports (IBT).
19.110 Note that total income includes the GOS of general government but not the GOS of dwellings owned by persons, as ownership of dwellings is excluded from the market sector.
19.111 Both GMI and IBT include capital and labour components. They can be further decomposed into income attributable to labour and capital, as described in the next two sections. Total income can be written as:
\(Total\:Income = GOS + GMI\left( K \right) + GMI\left( L \right) + COE + IBT\left( K \right) + IBT\left( L \right)\)
where K and L are income attributable to capital and labour, respectively.
19.112 The income share of capital is thus:
\(\large {S_K} = \frac{{GOS + GMI\left( K \right) + IBT\left( K \right)}}{{Total\:Income}}\)
and the income share of labour is:
\(\large {S_L} = \frac{{COE + GMI\left( L \right) + IBT\left( L \right)}}{{Total\:Income}}\)
Capital and labour shares of gross mixed income
19.113 The labour and capital shares of income earned by unincorporated enterprises are subsumed into one national accounts aggregate: gross mixed income. The following procedure is used to impute labour and capital shares of this aggregate for each industry in the market sector.
19.114 An estimate of labour income is imputed by assuming that proprietors and unpaid helpers receive the same average compensation per hour as wage and salary earners. Similarly, an estimate of proprietors' capital income is derived by multiplying the unincorporated productive capital stock of each asset type by the corporate rental prices. These estimates are then scaled so they sum to the observed GMI. The capital and labour shares of GMI are the corresponding scaled estimates.
19.115 That is, the capital share of GMI is:
\(\large {s_i}\sum\limits_j {{r_{c,i,j}}{K_{u,i,j}}}\)
where \(s_i\) is the scaling factor for industry \(i\);
\(r_{c,i,j}\) is the corporate rental price of asset \(j\) in industry \(i\); and
\(K_{u,i,j}\) is the productive capital stock of asset \(j\) in industry \(i\) for unincorporated enterprises.
The labour share of GMI is:
\(\large {s_i}{w_i}{H_{u,i}}\)
where \(s_i\) is (again) the scaling factor for industry \(i\)
\(w_i\) is the average hourly income for wage and salary earners in industry \(i\); and
\(H_{u,i} \)is the hours worked by proprietors and unpaid helpers in industry \(i\).
19.116 The scaling factor \(s_i\) for industry \(i\) is given by:
\(\large {s_i} = \frac{{GMI}}{{{{\widehat {GMI}}_{u,i}}}}\)
and \({\widehat {GMI}_{u,i}}\) for each industry is imputed, based on the labour and capital cost as:
\(\large {\widehat {GMI}_{u,i}} = {w_i}{H_{u,i}} + \sum\limits_j {{r_{c,i,j}}{K_{u,i,j}}}\)
19.117 Some taxes and subsidies on production and imports can be attributed solely to either capital or labour (for example, land tax and payroll tax). Such taxes and subsidies, however, make up only a small proportion of total net taxes. The capital and labour shares of net taxes are thus allocated proportionally, using the other income components attributable to labour and capital
Gross output income shares
19.118 The gross output income shares are derived similarly except that intermediate inputs need to be included:
\(\begin{aligned} Total\:Income &= GOS + GMI\left( K \right) + GMI\left( L \right) + COE + IBT\left( K \right) + IBT\left( L \right)\\&\hspace{0.6cm}+ Intermediate\:inputs \end{aligned}\)
19.119 Thus, the income share of capital is:
\(\large {Z_K} = \frac{{GOS + GMI\left( K \right) + IBT\left( K \right)}}{{Total\:Income}}\)
and the income share of labour is:
\(\large {Z_L} = \frac{{COE + GMI\left( L \right) + IBT\left( L \right)}}{{Total\:Income}}\)
and the income share of intermediate inputs is:
\(\large {Z_M} = \frac{{Intermediate\:inputs}}{{Total\:income}}\)
Estimation formulae
Capital services index
19.120 Capital services index for each industry is estimated (for both corporate and unincorporated entities) by weighting together the real growth in the productive capital stock of different assets, weighted together using the two-period average value share of each type of capital services. The indexes are compiled in the form of a Törnqvist index (i.e. the weighted geometric mean of the component growth rates). The quantity index of capital services in industry i is calculated as:
\(\large \ln \left( {\frac{{{K_{i,t}}}}{{{K_{i,t - 1}}}}} \right) = \sum\limits_j {{s_{K,i,j,t}}\ln \left( {\frac{{{K_{i,j,t}}}}{{{K_{i,j,t - 1}}}}} \right)}\) - - - - - - - (19.7)
and the two-period average value share of each type of capital services is given by:
\(\large {s_{K,i,j,t}} = \frac{{\left( {\frac{{{r_{i,j,t}}{K_{i,j,t}}}}{{\sum\nolimits_j {{r_{i,j,t}}{K_{i,j,t}}} }} + \frac{{{r_{i,j,t - 1}}{K_{i,j,t - 1}}}}{{\sum\nolimits_j {{r_{i,j,t - 1}}{K_{i,j,t - 1}}} }}} \right)}}{2}\)
where
\(\ln \left( {\frac{{{K_{i,t}}}}{{{K_{i,t - 1}}}}} \right)\) is the capital input growth rate for industry \(i\) from period \(t-1\) to period \(t\), and
\(\ln \left( {\frac{{{K_{i,j,t}}}}{{{K_{i,j,t - 1}}}}} \right)\) is the productive capital stock growth rate for capital asset \(j\) in industry \(i\), from period \(t-1\) to period \(t\).
19.121 The capital input growth rate for the market sector \(\ln \left( {\frac{{{K_{m,t}}}}{{{K_{m,t - 1}}}}} \right)\), is given by:
\(\large \ln \left( {\frac{{{K_{m,t}}}}{{{K_{m,t - 1}}}}} \right) = \sum\limits_i {{s_{K,i,t}}\ln \left( {\frac{{{K_{i,t}}}}{{{K_{i,t - 1}}}}} \right)}\) - - - - - - - (19.8)
and the two-period average value share of each type of capital services is given by:
\(\large {s_{K,mjt}} = \frac{{\left( {\frac{{GO{S_{i,t}} + GMI{{\left( K \right)}_{i,t}} + IBT{{\left( K \right)}_{i,t}}}}{{\sum\nolimits_i {GO{S_{i,t}} + GMI{{\left( K \right)}_{i,t}} + IBT{{\left( K \right)}_{i,t}}} }} + \frac{{GO{S_{i,t - 1}} + GMI{{\left( K \right)}_{i,t - 1}} + IBT{{\left( K \right)}_{i,t - 1}}}}{{\sum\nolimits_i {GO{S_{i,t - 1}} + GMI{{\left( K \right)}_{i,t - 1}} + IBT{{\left( K \right)}_{i,t - 1}}} }}} \right)}}{2}\)
19.122 That is, the industry capital income shares are derived as the proportion of \(GOS + GMI\left( K \right) + IBT\left( K \right)\) in each industry to \(GOS + GMI\left( K \right) + IBT\left( K \right)\)for the market sector.⁹⁶
Labour input index
19.123 Labour input index for each industry is calculated as a Törnqvist volume index of hours worked of different types of workers:
\(\large \ln \left( {\frac{{{L_{i,t}}}}{{{L_{i,t - 1}}}}} \right) = \sum\limits_j {{s_{L,ijt}}\ln \left( {\frac{{{H_{i,j,t}}}}{{{H_{i,j,t - 1}}}}} \right)}\) - - - - - - - (19.9)
and the two-period average value share of each type of workers in the industry labour compensation is given by:
\(\large {s_{L,ijt}} = \frac{{\left( {\frac{{{W_{i,j,t}}{H_{i,j,t}}}}{{\sum\nolimits_j {{W_{i,j,t}}{H_{i,j,t}}} }} + \frac{{{W_{i,j,t - 1}}{H_{i,j,t - 1}}}}{{\sum\nolimits_j {{W_{i,j,t - 1}}{H_{i,j,t - 1}}} }}} \right)}}{2}\)
where
\(\ln \left( {\frac{{{L_{i,t}}}}{{{L_{i,t - 1}}}}} \right)\) is the labour input growth rate for industry \(i\), from period \(t-1\) to period \(t\);
\(\ln \left( {\frac{{{H_{i,j,t}}}}{{{H_{i,j,t - 1}}}}} \right)\) is the growth rate of hours worked for \(j\) the type of workers in industry \(i\), from period \(t-1\) to period \(t\); and
\({W_{i,j,t}}\) is the wage rate for \(j\) the type of workers in industry \(i\) at time \(t\).
19.124 Labour input index for the market sector is calculated as a Törnqvist volume index of hours worked of different types of workers:
\(\large \ln \left( {\frac{{{L_{m,t}}}}{{{L_{m,t - 1}}}}} \right) = \sum\limits_j {{s_{L,mjt}}\ln \left( {\frac{{{H_{m,j,t}}}}{{{H_{m,j,t - 1}}}}} \right)}\) - - - - - - - (19.10)
and the two-period average value share of each type of workers in the industry labour compensation is given by:
\(\large {s_{L,mjt}} = \frac{{\left( {\frac{{{W_{m,j,t}}{H_{m,j,t}}}}{{\sum\nolimits_j {{W_{m,j,t}}{H_{m,j,t}}} }} + \frac{{{W_{m,j,t - 1}}{H_{m,j,t - 1}}}}{{\sum\nolimits_j {{W_{m,j,t - 1}}{H_{m,j,t - 1}}} }}} \right)}}{2}\)
where
\(\ln \left( {\frac{{{L_{m,t}}}}{{{L_{m,t - 1}}}}} \right)\) is the labour input growth rate for the market sector, from period \(t-1\) to period \(t\);
\(\ln \left( {\frac{{{H_{m,j,t}}}}{{{H_{m,j,t - 1}}}}} \right)\) is the growth rate of hours worked for \(j\) the type of workers in the market sector, from period \(t-1\) to period \(t\); and
\({W_{m,j,t}}\) is the wage rate for \(j\) the type of workers in the market sector at time \(t\).
Industry combined primary inputs index
19.125 Industry combined primary inputs index is calculated as a Törnqvist index of primary inputs - capital and labour:
\( \ln \left( {\frac{{I_{i,t}^{\left( V \right)}}}{{I_{i,t - 1}^{\left( V \right)}}}} \right) = \frac{1}{2}\left( {{v_{K,i,t}} + {v_{K,i,t - 1}}} \right)\ln \left( {\frac{{{K_{i,t}}}}{{{K_{i,t - 1}}}}} \right) + \frac{1}{2}\left( {{v_{L,i,t}} + {v_{L,i,t - 1}}} \right)\ln \left( {\frac{{{L_{i,t}}}}{{{L_{i,t - 1}}}}} \right)\) - - - - - - - (19.11)
where
\(\ln \left( {\frac{{I_{i,t}^{\left( V \right)}}}{{I_{i,t - 1}^{\left( V \right)}}}} \right)\) is primary input growth rate for industry \(i\) from period \(t-1\) to period \(t\);
\(\ln \left( {\frac{{{K_{i,t}}}}{{{K_{i,t - 1}}}}} \right)\) is the capital input growth rate for industry \(i\);
\(\ln \left( {\frac{{{L_{i,t}}}}{{{L_{i,t - 1}}}}} \right)\) is the labour input growth rate for industry \(i\);
\(v_{K,i}\) is the capital share in value-added based total industry income; and
\({v_{L,i}}\) is the labour share in value-added based total industry income.
Gross output based combined input index
19.126 The gross output based combined input index is constructed as:
\(\begin{aligned}\ln \left( {\frac{{I_{i,t}^{\left( G \right)}}}{{I_{i,t - 1}^{\left( G \right)}}}} \right) &= \frac{1}{2}\left( {{z_{K,i,t}} + {z_{K,i,t - 1}}} \right)\ln \left( {\frac{{{K_{i,t}}}}{{{K_{i,t - 1}}}}} \right) + \frac{1}{2}\left( {{z_{L,i,t}} + {z_{L,i,t - 1}}} \right)\ln \left( {\frac{{{L_{i,t}}}}{{{L_{i,t - 1}}}}} \right) \\&\hspace{0.6cm}+ \frac{1}{2}\left( {{z_{X,i,t}} + {z_{X,i,t - 1}}} \right)\ln \left( {\frac{{{X_{i,t}}}}{{{X_{i,t - 1}}}}} \right)\end{aligned}\) - - - - - - - (19.12)
where
\(\ln \left( {\frac{{I_{i,t}^{\left( G \right)}}}{{I_{i,t - 1}^{\left( G \right)}}}} \right)\) is the gross output based input growth rate for industry \(i\) from period \(t-1\) to period \(t\);
\(\ln \left( {\frac{{{X_{i,t}}}}{{{X_{i,t - 1}}}}} \right)\) is the intermediate input growth rate for industry \(i\), and \(z_{K,i,t}\), \(z_{L,i,t}\); and
\(z_{X,i,t}\) are the capital, labour and intermediate input share of total industry income respectively.
Market sector primary input index
19.127 The combined primary input index for the market sector is calculated as:
\(\ln \left( {\frac{{I_{M,t}^{\left( V \right)}}}{{I_{M,t - 1}^{\left( V \right)}}}} \right) = \frac{1}{2}\left( {{v_{K,t}} + {v_{K,t - 1}}} \right)\ln \left( {\frac{{{K_{M,t}}}}{{{K_{M,t - 1}}}}} \right) + \frac{1}{2}\left( {{v_{L,t}} + {v_{L,t - 1}}} \right)\ln \left( {\frac{{{L_{M,t}}}}{{{L_{M,t - 1}}}}} \right)\) - - - - - - - (19.13)
where
\(\ln \left( {\frac{{{K_{M,t}}}}{{{K_{M,t - 1}}}}} \right)\) is the capital input growth rate for the market sector;
\(\ln \left( {\frac{{{L_{M,t}}}}{{{L_{M,t - 1}}}}} \right)\) is the labour input growth rate for the market sector, and
\({v_{K,t}}\) and \({v_{L,t}}\) is the capital and labour share respectively in total income in the market sector
19.128 The capital and labour income shares, \(v_K\) and \(v_L\) respectively, are defined below:
\(\large {v_{K,t}} = \frac{{\sum\nolimits_{i \in M} {\left( {GO{S_{i,t}} + GMI{{\left( K \right)}_{i,t}} + IBT{{\left( K \right)}_{i,t}}} \right)} }}{{\sum\nolimits_{i \in M} {\left( {CO{E_{i,t}} + GMI{{\left( L \right)}_{i,t}} + IBT{{\left( L \right)}_{i,t}}} \right)} + \sum\nolimits_{i \in M} {\left( {GO{S_{i,t}} + GMI{{\left( K \right)}_{i,t}} + IBT{{\left( K \right)}_{i,t}}} \right)} }}\)
\(\large v_{L,t} = \frac{{\sum\nolimits_{i \in M} {\left( {CO{E_{i,t}} + GMI{{\left( L \right)}_{i,t}} + IBT{{\left( L \right)}_{i,t}}} \right)} }}{{\sum\nolimits_{i \in M} {\left( {CO{E_{i,t}} + GMI{{\left( L \right)}_{i,t}} + IBT{{\left( L \right)}_{i,t}}} \right)} + \sum\nolimits_{i \in M} {\left( {GO{S_{i,t}} + GMI{{\left( K \right)}_{i,t}} + IBT{{\left( K \right)}_{i,t}}} \right)} }}\)
Industry value added based MFP calculations
19.129 The industry value-added based MFP growth is calculated as the industry value added growth rate minus the industry combined primary input growth rate:
\(\large \ln \left( {\frac{{A_{i,t}^{\left( V \right)}}}{{A_{i,t - 1}^{\left( V \right)}}}} \right) = \ln \left( {\frac{{{V_{i,t}}}}{{{V_{i,t - 1}}}}} \right) - \ln \left( {\frac{{I_{i,t}^{\left( V \right)}}}{{I_{i,t - 1}^{\left( V \right)}}}} \right)\) - - - - - - - (19.14)
where
\(\ln \left( {\frac{{A_{i,t}^{\left( V \right)}}}{{A_{i,t - 1}^{\left( V \right)}}}} \right)\) is the industry value added MFP growth rate; and
\(\ln\left( {\frac{{{V_{i,t}}}}{{{V_{i,t - 1}}}}} \right)\) is the industry value-added growth rate.
Industry gross output based MFP calculations
19.130 Gross output-based MFP index is calculated as the industry gross output growth rate minus the industry gross output based combined input growth rate:
\(\large \ln \left( {\frac{{A_{i,t}^{\left( G \right)}}}{{A_{i,t - 1}^{\left( G \right)}}}} \right) = \ln \left( {\frac{{{G_{i,t}}}}{{{G_{i,t - 1}}}}} \right) - \ln \left( {\frac{{I_{i,t}^{\left( G \right)}}}{{I_{i,t - 1}^{\left( G \right)}}}} \right)\) - - - - - - - (19.15)
where
\(\ln \left( {\frac{{A_{i,t}^{\left( G \right)}}}{{A_{i,t - 1}^{\left( G \right)}}}} \right)\) is the industry gross output-based MFP growth rate; and
\(\ln \left( {\frac{{{G_{i,t}}}}{{{G_{i,t - 1}}}}} \right)\) is the industry gross output growth rate.
Multifactor productivity for the market sector
19.131 The market sector MFP is calculated as the market sector output growth rate minus the market sector combined input growth rate:
\(\large \ln \left( {\frac{{A_{M,t}^{\left( V \right)}}}{{A_{M,t - 1}^{\left( V \right)}}}} \right) = \ln \left( {\frac{{{V_{M,t}}}}{{{V_{M,t - 1}}}}} \right) - \ln \left( {\frac{{I_{M,t}^{\left( V \right)}}}{{I_{M,t - 1}^{\left( V \right)}}}} \right)\) - - - - - - - (19.16)
where
\(\ln \left( {\frac{{A_{M,t}^{\left( V \right)}}}{{A_{M,t - 1}^{\left( V \right)}}}} \right)\) is the market sector MFP growth rate; and
\(\ln \left( {\frac{{{V_{M,t}}}}{{{V_{M,t - 1}}}}} \right)\) is the market sector output growth rate.
Endnotes
Links between industry level and the market sector productivity measures
19.132 Aggregate productivity measures, such as the market sector labour productivity and MFP statistics, represent the average set of efficiencies and productivity levels across the individual industries making up the market sector. Aggregate productivity can improve because some industries further raise their productivity, or the more productive industries increase their relative shares in the market sector. In this context, such measures are inherently linked to industry productivity measures.
19.133 The links between the ABS aggregate productivity measures and the industry productivity are implicit. An aggregate production function approach is applied in compiling market sector productivity measures, whereby aggregate outputs, aggregate labour input, aggregate capital and aggregate productivity, are separately defined and measured. This approach treats the market sector as a single big 'industry'. In this case, the ABS aggregate productivity statistics are independent of corresponding industry productivity measures. Some standard methods have been developed to conduct this analysis in order to quantify the industry contributions to the market sector productivity performance.
Decomposition of aggregate labour productivity
19.134 Stiroh⁹⁷ developed a decomposition framework to identify the industry sources of aggregate labour productivity growth, which becomes a standard method for analysing industry contributions to aggregate labour productivity growth⁹⁸ ⁹⁹. An ABS productivity research paper¹⁰⁰ has applied this method to link the market sector labour productivity growth to the industry sources. The decomposition formula is given as:
\(\small {\begin{aligned}\ln \left( {\frac{{AL{P_t}}}{{AL{P_{t - 1}}}}} \right) &= \sum\limits_i {{w_{i,t}}\ln \left( {\frac{{LP_{i,t}^y}}{{LP_{i,t - 1}^y}}} \right)} + \left[ {\sum\limits_i {{w_{i,t}}\ln \left( {\frac{{{H_{i,t}}}}{{{H_{i,t - 1}}}}} \right) - \sum\limits_i {{h_{i,t}}\ln \left( {\frac{{{H_{i,t}}}}{{{H_{i,t - 1}}}}} \right)} } } \right] \\&\hspace{0.6cm}- \left[ {\sum\limits_i {{m_{i,t}}\left( {\ln \left( {\frac{{{X_{i,t}}}}{{{X_{i,t - 1}}}}} \right) - \ln \left( {\frac{{{Y_{i,t}}}}{{{Y_{i,t - 1}}}}} \right)} \right)} } \right] \end{aligned}}\) - - - - - - - (19.17)
19.135 Using the value added concept of labour productivity, equation (19.17) can be simplified to
\(\ln \left( {\frac{{AL{P_t}}}{{AL{P_{t - 1}}}}} \right) = \sum\limits_i {{w_{i,t}}\ln \left( {\frac{{LP_{i,t}^V}}{{LP_{i,t - 1}^V}}} \right)} + \left[ {\sum\limits_i {{w_{i,t}}\ln \left( {\frac{{{H_{i,t}}}}{{{H_{i,t - 1}}}}} \right) - \sum\limits_i {{h_{i,t}}\ln \left( {\frac{{{H_{i,t}}}}{{{H_{i,t - 1}}}}} \right)} } } \right]\) - - - - - - - (19.17a)
where
\(ALPt\) is the aggregate labour productivity (aggregate value added per hour);
\(LP_{i,t}^{y}\) is the gross output labour productivity for industry \(i\);
\(LP_{i,t}^v\) is the value added labour productivity for industry \(i\);
\(w_{i,t}\) is the two-period average of industry \(i\)'s share in aggregate value added;
\(m_{i,t}\) is the two-period average of the ratio of industry \(i\)’s intermediate input in aggregate value added;
\(h_{i,t}\) is the industry \(i\)’s share in aggregate hours in period \(t-1\); and
\(M\), \(Y\) and \(H\) stand for intermediate input, gross output and hours worked respectively.
19.136 The first term in equation 19.17 is a 'direct productivity effect', which is equal to the weighted sum of industry gross output productivity growth rates, with the industry shares in total value added as weights. This term captures the impact of productivity growth in each industry. As industry labour productivity rises, the aggregate labour productivity also improves in proportion to industries’ shares in aggregate output.
19.137 The second term in equation 19.17 is a 'labour reallocation effect' that captures the impact on aggregate output of the shift of labour between low-productivity-level industries and high-productivity-level industries. Aggregate productivity growth depends not only on the rates of productivity within industries but also on changes in the composition of industries. Faster employment growth in high-productivity-level industries contributes to improvements in the aggregate labour productivity growth by increasing the size of aggregate output given the same quantity of hours worked.
19.138 The third term in equation 19.17 is the intermediate input intensity factor. As value added is defined as gross output minus intermediate input, the relative growth of intermediate inputs over gross output must be accounted for in aggregating industry gross output to reach aggregate output, which is a value added concept. For example, if growth of intermediate input usage is faster than that of gross output, the growth of value added is reduced and hence the growth rate of aggregate labour productivity declines. If less intermediate inputs are used for a given level of gross output, then more value added is created and hence aggregate labour productivity improves.
19.139 The 'direct productivity effect' in equation 19.17 can also be expressed in terms of capital services per hour (capital deepening), labour composition, and MFP. Moreover, to facilitate analysis of the productive contribution of information technologies, capital services per hour can be partitioned into IT and non-IT capital services per hour. That is
\(\begin{aligned}\sum\limits_i {{w_{i,t}}} \ln \left( {\frac{{LP_{i,t}^V}}{{LP_{i,t - 1}^V}}} \right) &= \sum\limits_i {{w_{i,t}}} \left[ {\widetilde s_{i,t}^K\widetilde \alpha _{i,t}^{IT}\Delta \ln \left( {\frac{{K_{i,t}^{IT}}}{{{H_{i,t}}}}} \right) + \widetilde s_{i,t}^K\widetilde \alpha _{i,t}^N\Delta \ln \left( {\frac{{K_{i,t}^N}}{{{H_{i,t}}}}} \right) \\+ \widetilde s_{i,t}^L\Delta \ln {Q_{i,t}} + \Delta \ln A_{i,t}^v} \right]\end{aligned}\) - - - - - - - (19.18)
Where \(\widetilde s_{i,t}^K\) is industry’s two period capital income share, \(\widetilde \alpha _{i,t}^{IT}\) is the IT share of industry capital (computers and software), \(\widetilde \alpha _{i,t}^{N}\) is the non-IT share of industry capital \(\widetilde s_{i,t}^L\) is industry’s two period labour income share, and \({Q_{i,t}}\) is labour composition. On the RHS of equation (19.18), capital services per hour are partitioned into the change in IT capital services per hour (that is, IT capital deepening from computers and software, \(\frac{{K_t^{IT}}}{{{H_t}}}\), change in non-IT capital deepening \(\frac{{K_t^N}}{{{H_t}}}\), the change in labour composition \(Q_t\), and the change in GVA based MFP, \(A_t^v\).
Endnotes
Accuracy, quality and reliability of productivity measures
19.141 Economic statistics may be fit for one purpose but may not be fit for others. MFP measures are developed for conducting analysis of long-term productivity growth. It is not ideal for users to employ them for assessing short term productivity fluctuations. Caution needs to be exercised in interpreting productivity measures, which are derived as a 'residual', and are therefore subject to any errors in the output and input measures. Such errors carry a relatively greater importance with respect to productivity estimates, which are calculated as a ratio of outputs to inputs. In the short to medium term, MFP estimates are subject to variations in capacity utilisation or other factors such as the weather. Taking into account these factors, MFP estimates are probably most useful when viewed as average growth rates between growth-cycle peaks, which tends to also remove much of the random error.
19.142 The approach taken for estimating MFP is based on neoclassical economic theory using a translog production function in conjunction with two assumptions: constant returns to scale; and that the marginal products of capital and labour are equal to their respective real market prices. This forms the basis of the growth accounting approach to estimating MFP.
19.143 However, these assumptions are unlikely to hold in practice. If there are scale efficiencies, then this will also be captured as an increase in MFP. This possibility is likely as there would be many firms operating in an environment of increasing returns to scale, especially over short periods. The assumption that the marginal products of capital and labour are equal to their market price is based on the existence of perfect competition in factor markets.
19.144 In practice, growth in MFP may contain the impact of many phenomena in addition to disembodied technological change, such as:
- economies of scale and scope;
- reallocation effects of capital and labour;
- changes in the work force and management practices;
- climate and water availability;
- variations in capacity utilisation; and
- measurement error.
19.145 Also, MFP estimates are subject to the vagaries of the growth in the business cycle (as capacity utilisation varies so does MFP growth). Taking into account all of these factors, MFP estimates are probably most useful when computed as average growth rates between growth-cycle peaks, which are determined as peak deviations of the market sector MFP index from its long-term trend. In this way, most of the effects of variations in capacity utilisation and much of the random error are removed. However, average growth rates still reflect any systematic bias resulting from the methodology and data used.
Annex A Growth accounting framework
19A.1 The growth accounting framework is derived from a model based on a production function. A production function gives the maximum obtainable output for given inputs at a specific point in time.
Value added production function
19A.2 When output is measured as value added and the inputs considered are labour and capital, output is modelled:
\(\large {V_t} = {A_t}F\left( {{K_t},{L_t}} \right)\) - - - - - - - (19A.1)
where
\(V_t\) is real value added at time \(t\):
\(A_t\) is multifactor productivity at time \(t\);
\(F\) is the production function at time \(0\);
\(K_t\) is the real capital input at time \(t\);
\(L_t\) is the real labour input at time \(t\); and
\(t\) is a continuous measure of time.
19A.3 Note that the production function \(F\) s not observable for the actual economy. Thus to measure productivity an expression for \(A_t\) not involving \(F\) must be derived. To do so, two assumptions are made about the production function \(F\). First, that it exhibits constant returns to scale. That is, for any positive \(λ∂\) the production function satisfies
\(\large F\left( {\lambda K,\lambda L} \right) = \lambda F\left( {K,L} \right)\)
19A.4 In words, this means that (say) doubling both inputs will double the output. Second, we assume that the marginal returns to capital and labour equal their respective real market prices. That is, we assume that
\(\large \frac{{\partial V}}{{\partial K}}\left( {{K_t},{L_t}} \right) = {r_t}\)
and
\(\large \frac{{\partial V}}{{\partial L}}\left( {{K_t},{L_t}} \right) = {w_t}\)
where \(r_t\) is the real rental price of a unit of capital (at time \(t\)); and
\(w_t\) is the real wage rate for a unit of labour (at time \(t\))
19A.5 Now, differentiating \(V_t\) with respect to time gives:
\(\large \begin{aligned} {\mathop V\limits^.} _t &= {{\mathop A\limits^. }_t}F\left( {{K_t},{L_t}} \right) + {A_t}\left( {\frac{{\partial F}}{{\partial K}}{{\mathop K\limits^. }_t} + \frac{{\partial F}}{{\partial L}}{{\mathop L\limits^. }_t}} \right) \\ &= \mathop {{{\mathop A\limits^. }_t}F\left( {{K_t},{L_t}} \right) + }\limits^. \frac{{\partial V_t}}{{\partial K}}{\mathop K\limits^.} _t + \frac{{\partial {V_t}}}{{\partial L}}{\mathop L\limits^.} _t \end{aligned}\) - - - - - - - (19A.2)
where for any variable \(X\), \(\mathop{X}\limits^.\) denotes the derivative of a function \(X\) with respect to time.
19A.6 Now dividing equation (19A.2) by \(V_t\) gives:
\(\large \begin{aligned} \frac{{\mathop{V}\limits^.}_t}{V_t}&=\frac{{\mathop{A}\limits^.}_t}{A_t}+\frac{\partial V_t}{\partial K}\frac{{\mathop{K}\limits^.}_t}{V_t}+\frac{\partial V_t}{\partial L}\frac{{\mathop{L}\limits^.}_t}{V_t} \\&=\frac{{\mathop{A}\limits^.}_t}{A_t}+\frac{\partial V_t}{\partial K}\frac{{\mathop{K}}_t}{V_t}\frac{{\mathop{K}\limits^.}_t}{K_t}+\frac{\partial V_t}{\partial L}\frac{L_t}{V_t}\frac{{\mathop{L}\limits^.}_t}{L_t} \end{aligned}\) - - - - - - - (19A.3)
19A.7 Since we have assumed that the marginal products of capital and labour are equal to their respective real market prices, equation (19A.3) becomes
\(\large \frac{{{{\mathop V\limits^. }_t}}}{{{V_t}}} = \frac{{{{\mathop A\limits^. }_t}}}{{{A_t}}} + {S_{K,t}}\frac{{{{\mathop K\limits^. }_t}}}{{{K_t}}} + {S_{L,t}}\frac{{{{\mathop L\limits^. }_t}}}{{{L_t}}}\) - - - - - - - (19A.4)
where
\({S_{K,t}} = {r_t}\frac{{{K_t}}}{{{V_t}}}\)
\({S_{L,t}} = {w_t}\frac{{{L_t}}}{{{V_t}}}\)
19A.8 Note that \(S_{K,t}\) and \(S_{L,t}\) are the (value added) income shares of capital and labour, respectively. As the production function exhibits constant returns to scale, income can be attributed to either capital or labour; that is:
\({S_{K,t}} + {S_{L,t}} = 1\)
19A.9 To translate equation (19.4) into a discrete time equivalent, a Törnqvist index formula is chosen. Using a Törnqvist index follows international best practice. It is preferred to other index formulas due having desirable properties (from a microeconomic perspective) as shown by Diewert.¹⁰¹ In particular, an index of multifactor productivity is calculated using the equation:
\(\large \ln \left( {\frac{{{A_t}}}{{{A_{t - 1}}}}} \right) = \ln \left( {\frac{{{V_t}}}{{{V_{t - 1}}}}} \right) - {\overline S _{K,t}}\ln \left( {\frac{{{K_t}}}{{{K_{t - 1}}}}} \right) - {\overline S _{L,t}}\ln \left( {\frac{{{L_t}}}{{{L_{t - 1}}}}} \right)\) - - - - - - - (19A.5)
where
\({\overline S _{K,t}} = \frac{1}{2}\left( {{S_{K,t}} + {S_{K,t - 1}}} \right)\)
and
\({\overline S _{L,t}} = \frac{1}{2}\left( {{S_{L,t}} + {S_{L,t - 1}}} \right)\)
19A.10 Note that \(\ln(\frac{X_t}{X_{t-1}})\) is an approximation to the growth of \(X_t\) when this growth is small; that is:
\(\large \ln \left( {\frac{{{X_t}}}{{{X_{ - 1}}}}} \right) \approx \frac{{{X_t} - {X_{t - 1}}}}{{{X_{t - 1}}}}\)
19A.11 Equation (19A.5) provides the standard growth accounting framework for growth in real value added. From this equation the contributions of MFP, capital, and labour to growth in value added are quantified:
- the contribution of capital is defined to be the growth rate of capital input times the capital share of value added \({\overline S _{K,t}}\Delta \ln {K_t}\),
- the contribution of labour is defined to be the growth rate of labour input times the labour share of the value added \({\overline S _{L,t}}\Delta \ln {L_t}\), and
-
the contribution of multifactor productivity is defined as the residual
\(\hspace{1.6cm} \large \ln \left( {\frac{{{V_t}}}{{{V_{t - 1}}}}} \right) - {\overline S _{K,t}}\ln \left( {\frac{{{K_t}}}{{{K_{t - 1}}}}} \right) - {\overline S _{L,t}}\ln \left( {\frac{{{L_t}}}{{{L_{t - 1}}}}} \right)\)
that is, as the growth of value added not attributed to capital or labour.
19A.12 Note that when labour is measured as quality adjusted hours worked the contribution of labour can be further decomposed into the contributions of labour quality and hours worked.
Gross output production function
19A.13 The gross output-based measure of MFP is an approach that includes the use of intermediate inputs as a source of output growth. For each industry, a production function postulated is as follows:
\(\large {G_t} = {A^G}H\left( {{K_t}{L_t}{X_t}} \right)\) - - - - - - - (19A.6)
where
\(G_t\)= real output;
\(K_t\) = real capital input;
\(L_t\) = real labour input;
\(X_t\) = real intermediate input;
\(A_t^G\) = the gross output index of MFP, reflecting technological change, etc.;
\(H(K_tL_tX_t)\) = a function of factor inputs [\(K_t\), \(L_t\) and \(X_t\)] defining the expected level of output at time \(t\), given the conditions of technology in the base period; and
\(t\) = a continuous measure of time.
19A.14 For equation (19A.6), we make the assumptions of constant returns to scale and competitive equilibrium. Then differentiating with respect to time and dividing both sides by \(G_t\) it can be shown that
\(\large \frac{{{{\mathop G\limits^. }_t}}}{{{G_t}}} = \frac{{\mathop {{A^G}}\limits^. }}{{{A^G}}} + {S_K}\frac{{{{\mathop K\limits^. }_t}}}{{{K_t}}} + {S_L}\frac{{{{\mathop L\limits^. }_t}}}{{{L_t}}} + {S_X}\frac{{{{\mathop X\limits^. }_t}}}{{{X_t}}}\) - - - - - - - (19A.7)
where \(\mathop{G}\limits^.\), \(\mathop{K}\limits^.\), \(\mathop{L}\limits^.\) and \(\mathop{X}\limits^.\) are derivatives with respect to time:
\(\large \mathop G\limits^. = \frac{{\partial G}}{{\partial t}},etc.\)
the weights \(S_K\), \(S_L\) and \(S_X\) are the output elasticities of the three inputs:
\(\large {Z_K} = \frac{{\partial G}}{{\partial K}}\frac{K}{G},\)
\(\large {Z_L} = \frac{{\partial G}}{{\partial L}}\frac{L}{G},and\)
\(\large {Z_X} = \frac{{\partial G}}{{\partial X}}\frac{X}{G}\)
and weights \(Z_K\), \(Z_L\) and \(Z_X\) are the relative cost shares of capital, labour and intermediate inputs in the total cost:
\(\large {Z_K} = \frac{{K{r_K}}}{{G{p_G}}},\)
\(\large {Z_L} = \frac{{L{w_L}}}{{G{p_G}}},and\)
\(\large {Z_X} = \frac{{X{p_X}}}{{G{p_G}}}\)
where
\(r_K\) = the rental price of capital services;
\(w_L\) = the price of labour;
\(p_X\) = the price of intermediate inputs; and
\(p_G\) = the price of gross output
19A.15 Equation (19A.7) can be rearranged to show that the growth rate of multifactor productivity is equal to the growth rate of the ratio of output to inputs as follows:
\(\large \frac{{\mathop {{A^G}}\limits^. }}{{{A^G}}} = \frac{{\left( {\frac{{\mathop G\limits^. }}{I}} \right)}}{{\frac{G}{I}}}\)
where
\(\large \frac{{\mathop I\limits^. }}{I} = {Z_K}\frac{{\mathop K\limits^. }}{K} + {Z_L}\frac{{\mathop L\limits^. }}{L} + {Z_X}\frac{{\mathop X\limits^. }}{X}\)
19A.16 This implies that productivity can be expressed as the ratio of output to a composite index of inputs:
\(\large A_t^G = \frac{{{G_t}}}{{{I_t}}}\) - - - - - - - (19A.8)
where the index \(I_t\) is computed as a Törnqvist index as follows:
\(\large \frac{{{I_t}}}{{{I_{t - 1}}}} = {\left( {\frac{{{K_t}}}{{{K_{t - 1}}}}} \right)^{\left( {{Z_{Kt}} + {Z_{K\left( {t - 1} \right)}}} \right)/2}}{\left( {\frac{{{L_t}}}{{{L_{t - 1}}}}} \right)^{\left( {{Z_{Lt}} + {Z_{L\left( {t - 1} \right)}}} \right)/2}}{\left( {\frac{{{X_t}}}{{{X_{t - 1}}}}} \right)^{\left( {{Z_{Xt}} + {Z_{X\left( {t - 1} \right)}}} \right)/2}}\)
and \(Z_{Kt}\), \(Z_{Lt}\) and \(Z_{Xt}\) are the respective relative cost shares of capital, labour and intermediate inputs respectively. In the KLEMS growth accounting framework, the growth in intermediate inputs \((X_t/X_{t-1})\) is further partitioned into energy, materials and services. For a more detailed description of the KLEMS growth accounting framework, see Information Paper: Experimental Estimates of Industry Level KLEMS Multifactor Productivity, 2015.
Endnotes
Annex B Compiling quality-adjusted labour input indexes
19B.1 This annex provides a detailed description of how quality adjusted labour inputs (QALI) indexes are compiled for each market sector industry, and the market sector and twelve selected industries aggregates. Recall that QALI indexes can be written as a combination of labour composition and unadjusted hours worked. Census data are used to estimate labour composition for each industry. Then these estimates are combined with hours worked data for each industry, the market sector and twelve selected industries aggregates to obtain the corresponding QALI indexes.
19B.2 The general formula for calculating QALI indices is as follows. The workforce is partitioned into groups \(g_1,....., g_K\) for each year \(t\). This assumes that for each group \(g\) we have an hours worked index \(H_{g,t}\). Note that the sum of hours worked over each group:
\(\large {H_t} = \sum\limits_{g = 1}^K {{H_{{g_j},t}}}\)
is the unadjusted hours worked index. It is further assumed that for each group \(g\) we have the average hourly income \(w_{g,t}\) . Then the QALI index \(\frac{L_t}{L_{t-1}}\) is given by:
\(\large \frac{{{L_t}}}{{{L_{t - 1}}}} = \prod\limits_{g = 1}^K {{{\left( {\frac{{{H_{g,t}}}}{{{H_{g,t - 1}}}}} \right)}^{\left( {{S_{g,t}} + {S_{g,t - 1}}} \right)/2}}}\) - - - - - - - (19B.1)
where
\(\large {S_{g,t}} = \frac{{{w_{g,t}}{H_{g,t}}}}{{\sum\nolimits_{g = 1}^K {{w_{g,t}}{H_{g,t}}} }}\)
is income share of group \(g\) in year \(t\).
19B.3 Now labour composition is defined to be the ratio \(\frac{L_t}{H_t}\). For the equation above, we see that an index for labour composition is given by
\(\large Q_t=\frac{L_t/H_t}{L_{t-1}/H_{t-1}}=\frac{L_t/L_{t-1}}{H_t/H_{t-1}}\) - - - - - - - (19B.2)
The term \(Q_t\) is the compositional change (in year \(t\)).
19B.4 Let \({p_{g,t}} = \frac{{{H_{g,t}}}}{{{H_t}}}\) be the proportion of hours worked by group \(g\) in year \(t\). Then we can write \(Q_t \)as
\(\large {Q_t} = \prod\limits_{g = 1}^K {{{\left( {\frac{{{P_{g,t}}}}{{{P_{g,t - 1}}}}} \right)}^{\left( {{{\widehat S}_{g,t}} + {{\widehat S}_{g,t - 1}}} \right)/2}}}\) - - - - - - - (19B.3)
where
\(\large {\widehat S_{g,t}} = \frac{{{w_{g,t}}{P_{g,t}}}}{{\sum\nolimits_{g - 1}^K {{w_{g,t}}{P_{g,t}}} }}\)
19B.5 To calculate the compositional changes from the census data the workforce is grouped by education, age, and sex (see Table 19.1). For education, there are four categories: Unqualified, Skilled Labour, Bachelor Degree, and Higher Degree; for age there are five categories: 15 to 24 years, 25 to 34 years, 35 to 44 years, 45 to 54 years, and 55 to 64 years; for sex there are two categories: Male and Female. Definitions of the education categories are given in Table 19.2. From the census data, we derive the proportion of hours worked and average hourly wage of workers with a given education level, age group, and sex (for all choices of education level, age group, and sex). Note that to take into account time spent in education, we restrict the age range of workers considered depending on the education category (see Table 19.2).
Education category | Age range of workers |
---|---|
Unqualified | 15 to 64 |
Skilled labour | 20 to 64 |
Bachelor degree | 21 to 64 |
Higher degree | 23 to 64 |
19B.6 Compositional changes for the whole economy are calculated from 1981 until the current year using census data. Census data are only available every five years (in 1981, 1986, etc.), so much data has to be interpolated. The years falling between census years are linearly interpolated for both \(p_{g,t}\) and \(w_{g,t}\). For example, the years 1982 to 1985 are defined as:
\(\large {P_{g,1981 + t}} = {P_{g,1981}} + \frac{t}{5}\left( {{P_{g,1986}} - {P_{g,1981}}} \right)\)
and
\(\large {w_{g,1981 + t}} = {w_{g,1981}} + \frac{t}{5}\left( {{w_{g,1986}} - {w_{g,1981}}} \right)\)
For \(t=1,2,3,4,...,Q_t\) is then calculated or years 1981 to the latest census year for which data is available. Finally, the compositional changes for years past the last census year are extrapolated using the following formula:
\(\large {Q_{2006 + t}} = {Q_{2006}}{\left( {\frac{{{Q_{2006}}}}{{{Q_{2001}}}}} \right)^{t/5}}\)
19B.7 The extrapolation assumes that the yearly changes in compositional change past the last census year are equal to the (average) yearly change during the latest inter-census period.
Annex C Measurement of the income tax parameter
19C.1 The income tax parameter,\(T_{ijt}\) allows for the variation of income tax allowances according to different industries, asset types, and variations in allowances over time. Changes in corporate profit taxes over time are also allowed for. Corporate taxes aside, these provisions increase the after-tax returns on investment and lower the rental price of capital. For each industry \(i\), and asset type \(j\), \(T_{ijt}\) is expressed as:
\(\large {T_{ijt}} = \frac{{1 - {u_t}{z_{ijt}} - {u_t}{a_{ijt}}}}{{1 - {u_t}}}\)
where
\(u_t\) = the corporate profit tax rate;
\(Z_{ijt}\) = the present discounted value of one dollar of depreciation allowances; and
\(a_{ijt}\) = the additional allowance rate.
19C.2 The tax parameter reflects the differing tax circumstances that owners of capital face. The method adopted by ABS follows Jorgenson\(¹⁰²\) and Hall and Jorgenson¹⁰³ ¹⁰⁴ and reflects changes to:
- tax concessions;
- write off periods (i.e. tax lives);
- deductions allowable;
- allowable capital expenditure;
- special allowances; and
- amortisation of capital.
19C.3 For example, allowance is made for the differing depreciation and additional allowances available to specific industries and asset types over time. These allowances tended to be more generous in the Agriculture, forestry and fishing, Mining, and Manufacturing industries, especially for certain types of equipment. In addition, the Australian Taxation Office (ATO) allowed for faster depreciation rates over time through shorter effective tax lives. Since 1985, various research and development (R&D) tax concessions have been introduced to encourage increased investment in R&D by Australian companies. These concessions have had the effect of reducing rental prices on R&D considerably.
19C.4 The Corporate Profit Tax Rates (\(u\)) are obtained from the ATO website.
Depreciation allowances
19C.5 The depreciation allowance (\(z\)) is the present discounted value (PDV) of the stream of deductions multiplied by the marginal tax rate applicable in that year. Asset lives and a nominal discount rate are used to determine the present discounted value of depreciation allowances. Prior to 1980, the average asset lives used to calculate capital stock for each asset type are used. After 1980, the asset life consistent with the shortest life within broad asset life bands specified by the ATO is used. Broad banding reduces the effective life of the asset. The nominal discount rate is based on the business overdraft rate published in the Reserve Bank Bulletin. It assumes that the business overdraft rate applies to all borrowers for investment in equipment or structures and contains a risk premium (over and above government bonds).
19C.6 Specific rulings on eligible depreciation allowances are obtained from the Master Tax Guides (MTG), ATO rulings published online, and Commonwealth Budget Papers. Of the two depreciation schedules permitted, the diminishing value method has been chosen. Prior to 10 May 2006, it allowed software and machinery and equipment assets to be geometrically depreciated at 150 per cent of the straight-line rate (the other schedule permitted). From 10 May 2006, the government introduced a 200 per cent diminishing balance rate for eligible new plant and equipment assets.
19C.7 From 1980, broad banded depreciation rates were introduced, allowing assets with effective lives over a particular band of years to depreciate at a certain rate. In 1996, for example, assets with a life of 0-3 years could be depreciated immediately, and assets with a life of 3 to 5 years could be depreciated at a prime cost rate of 40 per cent of its purchase price.
19C.8 In addition to broad banding, the Commonwealth Government allowed a loading factor of between 18 per cent and 20 per cent from 1990, depreciating some assets more quickly. Most equipment except motor vehicles was permitted to use loading factors.
19C.9 Double depreciation allowances were permitted for most assets for the period in 1974-76. Between 1 July 1974 and 30 June 1976, companies were allowed to depreciate new investment excluding motor vehicles at twice the stated rates. Once purchased, the asset continued to be depreciated at these accelerated rates until completely depreciated. We treat this by doubling the loading factor which has the effect of doubling the depreciation rate.
19C.10 In 1980, the Commonwealth Government permitted a separate allowance for buildings. Depending on the year, a straight-line allowance of 2.5 per cent or 4 per cent was permitted. This allowance is treated in the same way as depreciation allowance in the tax parameter.
19C.11 On 1 July 2001, the government introduced the 'uniform capital allowances regime'. This regime replaced the special capital allowance provisions for the Mining industry. The regime applied to all depreciable assets except where specific provisions apply to R&D activities, investments in Australian films, or cars.
19C.12 In 2002, statutory effective life caps were introduced, allowing an accelerated depreciation for certain types of equipment. Specifically, statutory life caps halved the effective tax lives of aircraft (to 10 years) and buses and trucks (larger than 3.5 tonnes) to 7.5 years.
Computer software
19C.13 Depreciation rates are applied to purchased (packaged) software, customised, and in-house software combined. MTG defines in-house software as: computer software, or a right to use such software, that is acquired, developed or commissioned, and that is mainly for the taxpayer to use in performing the functions for which the software was developed (i.e. not for resale). From May 1998, acquiring, developing or commissioning software is depreciable at 40 per cent per annum, so that the asset life is 2.5 years.
Non-dwelling construction
19C.14 The effective lives of 'industrial' buildings and 'non-industrial' buildings are 25 years and 40 years respectively.
Non-depreciable assets
19C.15 For land and inventories, the effective life does not apply to these capital assets as they are not subjected to depreciation resulting from production.
Additional allowance rate
19C.16 The additional allowance rate (\(a\)) is an immediate write-off which results in tax savings (i.e. discounting is not required). The value of an allowance is the tax savings which is the product of the tax rate and the rate of the allowance. For example, if the allowance rate is 50 per cent and the profit tax rate is 30 per cent, then the company effectively saves 15 per cent of the purchase price of the asset in tax savings (\(30\%×50\% =u×a\)). Most equipment types have attracted an allowance of some kind.
19C.17 There are general allowances across all industries and special allowances. Special allowances vary widely according to asset type and time period. In 1996, for example, purchasers of machinery and equipment (other than motor vehicles) were permitted to deduct an additional ten per cent in the purchase year.
19C.18 Pro rata adjustments are made to align the dates of the tax law with the financial year, assuming that investment occurred evenly over the tax year. This leads to determining pro rata depreciation rates based on the portion of the year covered.
19C.19 Some allowances may have not been taken into consideration because of the assets eligible may be at a finer detail than assets classes to which tax parameters can be assigned (i.e. the asset classification in the Perpetual Inventory Model), or because further research was needed. The ABS welcomes comments which may assist in improving the accuracy and fitness-for-purpose of tax parameters.
Film tax concessions
19C.20 According to the MTG 2011, three types of film concession were available in 2010-11. Since a film's eligibility for tax concessions is limited to one of the concession types, the 'additional allowance rate' for film has been set at 15 per cent, which is the lowest available concession rate.
Research and development
19C.21 Since 1985, tax incentives have been available to encourage increased investment in research and development (R&D) by Australian companies. Up until 2010-11, the 'R&D Tax Concession' program was in place. The most recent elements of the R&D Tax Concession included:
- An enhanced rate of tax deduction at 125 per cent of eligible expenditure incurred on Australian R&D activities of at least $20,000. Eligible R&D expenditures included salaries and wages to company employees associated with the R&D activities, along with expenditure on materials used and an allowance for the decline in value of capital equipment used in R&D.
- A premium 175 per cent rate of tax deduction applied to the amount of R&D expenditure that exceeds a given company's average expenditure over the previous 3 years.
19C.22 This tax concession scheme had been treated as a general allowance for all industries. Between 1985 and 2011, the allowance in (a) ranged from 125 to 150 per cent.
19C.23 From July 1, 2011, the 'R&D Tax Concession' was replaced by the 'R&D Tax Incentive'. The R&D Tax Incentive aims to encourage companies to engage in R&D activities where the knowledge gained is likely to benefit the wider Australian economy. The two key components of the R&D tax incentive are:
- A 45 per cent refundable tax offset (equivalent to a 150 per cent deduction at a 30 per cent company income tax rate) on Australian R&D activities of at least $20,000 for companies with an aggregated turnover of less than $20 million per annum. Companies can receive a cash refund for income years where a tax loss is recorded.
- A non-refundable 40 per cent tax offset (equivalent to a 133 per cent deduction at a 30 per cent company income tax rate) to all other companies, allowing for unused offset amounts to be carried forward for use in future income years.
19C.24 Effectively, the treatment of the tax parameter is the same for both schemes. The ABS estimates that most R&D spending will fall into (d), attracting the 40 per cent tax offset.
Endnotes
Chapter 20 Analytical measures
Introduction
20.1 This chapter outlines some of the analytical measures derived from national accounting aggregates.
20.2 These measures include:
- real income measures
- real unit labour costs
- analytical measures of income, consumption, saving and wealth (national estimates are annual only, household estimates are available quarterly)
- farm and non-farm GDP
- income related measures
- gross entrepreneurial income (annually only)
- analytical expenditure aggregates
- inventories and sales (quarterly only).
Real income measures
20.3 The real income measures are a series of aggregates which measure the purchasing power of various income flows in the national accounts.
20.4 Income flows in the SNA (e.g. cash transfers or saving) are measured in nominal, monetary units and are not directly related to prices or quantities of goods or services. Income can be used to purchase goods or services, however, and is often defined as ‘the maximum amount that a household, or other unit, can consume without reducing its real net worth’¹⁰⁵. Real incomes measure the amount of goods and services that can be purchased with an income flow.
20.5 A numeraire is a set basket of goods and services. To measure the purchasing power of an income flow over a numeraire, the price of the numeraire in a specified reference period is used to deflate the nominal income value. Change in the deflated value of income over time, in comparison to the reference period, therefore measures change in the purchasing power of the nominal income flow over the numeraire. Real incomes are deflated in this way.
20.6 As GDP is a measure of the income generated in the economy by production, if GDP can be deflated, then real GDP is also a measure of real income. In this case, the numeraire is the set of all goods and services produced in the domestic economy. However, to move from domestic product in volume terms to national income in real terms, the power of income to purchase goods and services from the rest of the world also needs to be considered.
20.7 In a closed economy, without exports or imports, GDP is equal to the sum of final consumption and capital formation (otherwise known as domestic final demand). In this case, real GDP is an appropriate measure of the purchasing power of the income generated from domestic production. However, in an economy which is open to imports, and exports domestic production, the total real income that residents derive from domestic production also depends on the rate at which exports may be traded against imports from the rest of the world.
20.8 The terms of trade is the ratio of the price of exports to the price of imports. If the prices of a country’s exports rise faster (or fall more slowly) than the prices of its imports (that is, if its terms of trade improves), fewer exports are needed to pay for a given volume of imports. This means that at a given level of domestic production, goods and services can be reallocated from exports to consumption or capital formation. An improvement in the terms of trade therefore makes it possible for an increased volume of goods and services to be purchased by residents out of the incomes generated by domestic production.
20.9 The usual way to calculate real income figures is to start from real gross domestic income and add iterative adjustments deflated to real terms. The measures calculated are:
- real gross domestic income
- real gross national income
- real net national disposable income
- real net national disposable income per capita.
Real gross domestic income
20.10 Real gross domestic income (real GDI) measures the purchasing power of the total incomes generated by domestic production.
20.11 When the terms of trade changes there may be a significant divergence between the movements of GDP in volume terms and real GDI. This difference is described as the ‘trading gain’ (or loss). Alternatively, the trading gain or loss from changes in the terms of trade is the difference between real GDI and GDP in volume terms. If imports and exports are large relative to GDP, and if the commodity composition of the goods and services that make up imports and exports is very different, the scope for potential trading gains and losses may be large. This may happen, for example, when the exports of a country consist mainly of a small number of primary products, such as cocoa, sugar or oil, while its imports consist mainly of manufactured products. Trading gains or losses, T, are usually measured by the following expression:
\(\large T = \frac{{X - M}}{P} - \left( {\frac{X}{P_x} - \frac{M}{{{P_m}}}} \right)\)
where
\(X\) = exports at current values
\(M\) = imports at current values
\(P_x\) = the price index for exports
\(P_m\) = the price index for imports
\(P\) = a price index based on a numeraire
20.12 \(P_x\), \(P_m\) and \(P\) all equal 1 in the base year. The term in brackets measures the trade balance calculated at the export and import prices of the reference year, whereas the first term measures the current trade balance deflated by the numeraire price index. One may have a different sign from the other.
20.13 The 2008 SNA leaves the choice of the price index used to deflate the current trade balance to individual national statistical agencies. In Australia, the price index, \(P\), reflects import prices. As trade facilitates consumption of a different mix of products than are produced domestically, and exports generate income which finances the acquisition of imports, the price of imports is an appropriate deflator for the trade balance.
20.14 Real GDI is calculated by summing the volume measures of gross national expenditure (GNE), the statistical discrepancy for GDP(E) (SD), and exports and subtracting imports. Exports are first deflated by the imports deflator to account for the terms of trade.
\({Real \ gross \ domestic \ income} = GNE + SD{\rm{ }} + deflated\ {\rm{ }}X - M\)
20.15 The chain volume measure is then benchmarked to the annualised real GDI estimate.
Real gross national income
20.16 Real gross national income (GNI) measures the purchasing power of gross primary incomes for all institutional sectors, including net primary income receivable from non-residents.
20.17 Primary incomes generated by the domestic production of resident units are distributed mostly to other residents; however, part of them may go to non-resident units. Likewise, some primary incomes generated in the rest of the world may be distributed to resident units. Real gross national income (GNI) accounts for these flows. Real GNI is equal to real GDI less deflated primary incomes payable to non-resident units, plus deflated primary incomes receivable from non-resident units. The implicit price deflator for GNE is used to deflate the primary incomes. In contrast to volume GDP, real GNI is not a concept of value added, but a concept of income.
20.18 By removing the volume measure of consumption of fixed capital from real GNI, real net national income is obtained.
Real net national disposable income
20.19 Primary incomes receivable by resident units may be used to make transfers to non-resident units. Likewise, resident units may receive transfers originating out of primary incomes in the rest of the world. Real gross national disposable income is equal to real GNI less deflated current transfers (other than taxes less subsidies on production and imports) payable to non-resident units, plus the corresponding deflated transfers receivable by resident units from the rest of the world. Again, the implicit price deflator for GNE is used. Real gross national disposable income measures the real income available to the total economy for final consumption and gross saving.
20.20 By removing the volume measure of consumption of fixed capital from real gross national disposable income, real net national disposable income (NNDI) is obtained. National disposable income is the sum of the disposable income of all resident institutional units.
Real net national disposable income per capita
20.21 Real NNDI per capita is calculated by dividing real NNDI by the estimated population as published in National, state and territory population and ABS projections.
Endnotes
Unit labour costs
Introduction
20.22 The ABS produces a range of statistics relating to employee remuneration and the price of labour. These statistics have been developed to provide information on the returns to labour from economic production, the level of employee earnings, and labour costs and prices. Relevant series include compensation of employees from the ASNA, average weekly earnings, and the wage price index. Unit labour costs (ULC) are an indicator of the average cost of labour per unit of output produced in the economy. They provide a link between productivity and the cost of labour.
20.23 ULC are a measure of the costs associated with the employment of labour, adjusted for labour productivity. As a result, there will be no change in ULC if there is an increase in average labour costs and a commensurate increase in labour productivity. Unlike ULC, any increase in labour costs associated with increased productivity would be reflected in an increase in the wage price index, average compensation of employees, and average weekly earnings.
20.24 ULC are defined as:
\(\large ULC={Average \ labour \ costs \ (ALC)\over Average \ labour \ productivity \ (ALP)}\hspace{2cm}(1)\)
20.25 Average labour costs (ALC) are calculated as compensation of employees plus payroll tax minus employment subsidies, divided by total hours worked by employees. Training and recruitment costs are excluded due to measurement difficulties.
20.26 Average labour productivity (ALP) is defined here as volume GDP divided by total hours worked. Total hours worked here includes hours worked by employees, employers, and the self-employed, as it is not possible to decompose real GDP into an 'employee only' component. As labour productivity includes employees, employers, and the self-employed, it measures average productivity in both the incorporated and unincorporated sectors.
20.27 Labour productivity growth reflects growth in two areas. The first is from an increasing capital-labour ratio (capital deepening), indicating more capital per unit of labour input. The second is from increasing multifactor productivity, which can occur through the introduction of new disembodied technologies, organisational improvements, economies of scale, or the implementation of research and development. ULC will decrease as capital deepening and multifactor productivity increase (if average labour costs remain constant).
20.28 The ALC and the ALP expressions are:
\(\large ALC={Labour \ costs \ (LC)\over Hours \ worked \ by \ employees}\hspace{2cm}(2)\)
\(\large ALP={Volume \ GDP\over Total \ hours \ worked \ by \ employees \ and \ self \ employed}\hspace{2cm}(3)\)
20.29 An apparent issue in the ULC formula is that the scope of the denominator (average labour productivity), which includes the self-employed, is broader than the scope of the numerator (average labour costs). The implicit assumption is that average labour costs are the same for the self-employed and for employees (shown in equation 4). Total hours worked by employees and the self-employed can be shifted to the numerator in the ULC equation, using equations 1 and 3. As shown in equation 4, this effectively scales up employee labour costs (LC) to the whole economy, and the scope of the numerator and denominator are now the same. Scaling up labour costs in this way depends on the assumption that average hourly labour costs are the same for the self-employed and employees.
\(\large ULC={Labour \ costs(LC) \ \times ({Total \ hours \ worked\over Hours \ worked \ by \ employees })\over Volume \ GDP}\hspace{2cm}(4)\)
20.30 Calculating ULC in this way means that technically, it is an indicator of labour costs for all employed people, not just employees. However, since this involves the assumption that labour costs are the same for employees and the self-employed, ULC have greater explanatory power for the costs of employing employees than employing the self-employed.
20.31 The ASNA publishes the following:
- nominal unit labour costs
- nominal unit labour costs – non-farm
- real unit labour costs
- real unit labour costs – non-farm.
Real unit labour costs
20.32 Nominal ULC are affected by general increases in prices across the economy as the numerator uses nominal labour costs. Real unit labour costs (RULC) eliminate this issue by deflating ALC with the GDP deflator. RULC are an indicator of the direct labour cost pressures associated with the employment of labour, and exclude general price impacts. RULC are calculated as:
\(\large RULC = {(ALC/GDP \ deflator) \over ALP}\hspace{2cm}(5)\)
20.33 Substituting equation 3 into 5, the GDP deflator cancels out and the expression reduces to:
\(\large RULC = {LC\ \times ({Total \ hours \ worked \over Hours \ worked \ by \ employees}) \over {Current \ price \ GDP }} \hspace{2cm}(6)\)
20.34 The labour income share of total factor income (LIS) is defined as labour income (compensation of employees) divided by total factor income. Equation 6 shows that RULC are similar, but not identical to LIS. This is because the denominator for RULC, GDP, is slightly larger than the denominator for LIS, total factor income. If RULC is equated to the LIS, then RULC can be placed within a broader theoretical framework defining the link between wages and productivity.
20.35 The quarterly calculations for RULC are:
Step 1: Derive hours worked by employees (see paragraph 19.79 for more information on calculations of hours worked).
\( { Hours \ worked \ by \ employees }= Total \ hours \ worked \times\left(\frac{{ Employees }}{ { Total \ employed }}\right) \)
Step 2: Calculate GDP per hour
\(GDP \ per \ hour=\frac{Volume \ GDP}{{ Total \ hours \ worked }}\)
Step 3: Calculate labour cost per hour
\( { Labour \ cost \ per \ hour }=\frac{ { Labour \ costs }}{{ Hours \ worked \ by \ employees }} \)
Step 4: Calculate nominal ULC
\(Nominal \ unit \ labour \ cost =\frac{{ Labour \ costs \ per \ hour }}{{ GDP \ per \ hour }}\)
Step 5: Calculate RULC by deflating nominal ULC with the GDP deflator
Step 6: Index the RULC series to the reference year
Step 7: Derive annual RULC from the quarterly series by averaging the level over the four quarters in each year
Real unit labour costs - non-farm
20.36 Due to the highly seasonal and variable nature of the agricultural industry, it can be useful to remove the farm economy from RULC. The quarterly calculations for non-farm RULC are:
Step 1: Derive hours worked by non-farm employees
\({ Hours \ worked \ by \ non \ farm \ employees }={ Total \ non \ farm \ hours \ worked } \times\left(\frac{{ Employees }-{ farm \ employees }}{{ Total\ employed }-{ farm \ employed }}\right)\)
Step 2: Calculate non-farm GDP per hour
\(Non \ farm \ GDP \ per \ hour =\frac{ Non \ farm \ volume \ GDP}{{ Total \ non \ farm \ hours \ worked }} \)
Step 3: Calculate non-farm labour cost per hour
\({ Non \ farm \ labour \ cost \ per \ hour }=\frac{{ Non \ farm \ labour \ costs }}{{ Hours \ worked \ by \ non \ farm \ employees }} \)
Step 4: Calculate nominal non-farm ULC
\({ Nominal \ non \ farm \ ULC }=\frac{{ Non \ farm \ labour \ cost \ per \ hour }}{{ Non \ farm \ GDP \ per \ hour }} \)
Step 5: Calculate non-farm RULC by deflating nominal non-farm ULC with the non- farm GDP deflator
Step 6: Index the non-farm RULC series to the reference year
Step 7: Derive annual non-farm RULC from the quarterly series by averaging the level over the four quarters in each year
ULC measurement issues
Price deflator
20.37 The GDP deflator is used to calculate RULC because its scope covers the production of goods and services in the domestic economy. Alternative measures such as the domestic final demand (DFD) deflator and the household final consumption expenditure (HFCE) deflator provide a demand side view of price change, which is less relevant here. The GDP deflator is affected by trade prices, however, and this is discussed further below. Choosing an appropriate deflator does not need to be considered when calculating nominal ULC, as labour costs are not deflated.
Terms of trade effect
20.38 The GDP deflator will be affected by changes in the terms of trade and for example all else equal will increase as the terms of trade increases. Use of the GDP deflator will therefore capture trading gain / loss as well as changes in productivity and domestic labour prices in RULC.
20.39 At an aggregate level, a sustained shift in the terms of trade will impact the capacity of the economy to pay higher wages. However, if the interest is in the link between labour productivity and labour costs, then including the terms of trade effect would be inappropriate.
Treatment of self-employed
20.40 ULC include an estimate for the cost of self-employed labour by assuming that the self-employed earn, on average, the same amount per hour as employees. Ideally, a return to labour from gross mixed income, which measures returns to unincorporated businesses (including the self-employed), would be used. Calculating this, however, requires too many assumptions for ULC compilation purposes.
20.41 More critically, if the purpose of ULC is to examine the costs of employees – that is, an employers' willingness to employ – then the self-employed should be excluded. However, while labour costs are already measured for employees only (and scaled up to include the self-employed), it is not possible to define volume GVA excluding the self-employed.
Analytical measures of income, consumption, saving and wealth
20.42 Saving, investment, borrowing and lending, change in net worth, and net worth for the nation and the institutional sectors are all linked by a series of accounting identities in the SNA. The ASNA presents these estimates in a way that highlights the links between the traditional income flows and the change in net worth as reflected in the balance sheet. The calculation and presentation of these estimates provide additional insights into changes in income, saving, and wealth in Australia.
20.43 The concept of disposable income used in the ASNA is directly linked to production. Disposable income can be generated either directly, by participating in production, or indirectly, through the redistributive process (taxation, transfers such as social assistance benefits, and income flows with the rest of the world, for example). Holding gains and losses are excluded from income in the national accounts, as they result from price change, not from production. For some purposes it may be preferable to use a broader definition of income. The broader definition of income which has gained importance in economics is that of J. R. Hicks, expressed in the 2008 SNA:
income is often defined as the maximum amount that a household, or other unit, can consume without reducing its real net worth.¹⁰⁶
20.44 This wider definition brings the balance sheet into the measurement of income and saving, to take account of changes in the volume and value of capital during the accounting period. These include the depletion and discovery of natural resources, unforeseen losses due to natural disasters, and asset revaluations due to price changes.
20.45 However, there is an important debate in the international national accounts community over the validity of treating real holding gains in the same manner as gross disposable income. The impact of real holding gains on economic activity may not be equivalent to income received in cash or in kind. If a real holding gain accrues due to an increase in the price of a particular asset, many agents may wish to realise this gain. If they attempt to cash out at the same time, the price of the asset may fall and the size of the realised gain may be smaller than the imputed real holding gain. In addition, the realisation of a holding gain may lead to the payment of tax, which would reduce the amount of funds available to the asset holder. Thus, the measures introduced here should not be seen as replacing or correcting the traditional income and saving measures in the national accounts; rather they are provided to give users an alternative view of the available information.
20.46 The following analytical measures for income, saving, and wealth are presented at a national and household sector level in the ASNA.
Gross disposable income (GDI) plus other changes in real net wealth
20.47 This item is compiled using data from the income, capital, financial, other changes in assets, and revaluation accounts:
\(\small {GDI \ plus \ changes \ in \ real \ net \ wealth=Gross \ disposable \ income\\ + Real \ holding \ gains \ and \ losses \\ + Net \ capital \ transfers \\ + Other \ changes \ in \ volume}\)
where
\(\small {Real \ holding \ gains \ and \ losses=Real \ holding \ gains \ and \ losses \ on\ non-financial \ produced \ assets \\ + Real \ holding \ gains \ and \ losses \ on \ non-financial \ produced \ asset \ (land)\\+ Real \ holding \ gains \ and \ losses \ on \ non-financial \ produced \ assets\ (other) \\ + Real \ holding \ gains \ and \ losses \ on \ financial \ assets \\ - Real \ holding \ gains \ and \ losses \ on \ liabilities }\)
Net saving plus other changes in real net wealth
20.48 This item can be derived using flow data as follows:
\(\small {Net \ saving \ plus \ changes \ in \ real \ net \ wealth = GDI \ plus \ changes \ in \ real \ net\ wealth\\ - Final \ consumption \ expenditure\\ - Consumption \ of \ fixed \ capital}\)
20.49 This item can be equivalently derived from a balance sheet perspective as follows:
\(\small {Net \ saving \ plus \ changes \ in \ real \ net \ wealth= Closing \ net \ worth\\ - Opening \ net \ worth \\ - Neutral \ holding \ gains \\ - Net \ errors \ and \ omissions \\ + Statistical \ discrepancy \\ - Other \ differences}\)
20.50 Other differences arise due to a different treatment of stock and flow concepts between the balance sheet and capital account estimates. Net capital formation in the balance sheet includes plantation standing timber inventories. These are included in the change in net worth in the balance sheet but are excluded from the capital account.
Alternate measure of household final consumption expenditure
20.51 The analytical measures table for the household sector contains memorandum items for final consumption expenditure on consumer durables, and the value of the services provided by the current stock of durables. Unlike other final goods and services, which are used up in the same accounting period in which they are purchased, consumer durables (such as cars, refrigerators and computers) provide a flow of services to their owners over several accounting periods. For some purposes, it may be useful to consider the flow of services provided by consumer durables during the accounting period as final consumption expenditure, rather than purchases of consumer durables.
20.52 For more information on the treatment of consumer durables and the services that flow from them, refer to chapter 17.
Farm and non-farm GDP
20.53 The farm economy is one of the more volatile components of the Australian economy. One of the key reasons is that the farm economy is more exposed to fluctuations in weather conditions compared with other industries. Derivation of non-farm GDP removes farm-related volatility from output growth.
20.54 The farm economy is defined in the ASNA as ANZSIC Division A, Subdivision 01 Agriculture. It follows that non-farm production arises from all other industries.
20.55 Measures calculated include:
- farm and non-farm GDP – current prices
- farm and non-farm GDP – chain volumes
- farm and non-farm GDP – implicit price deflators.
Farm and non-farm GDP - current prices
20.56 Farm GDP in current prices is defined as:
\(\small {Farm \ GDP \ = gross \ value \ of \ farm \ output\\- intermediate \ input \ costs \\ + taxes \ on \ products \ allocated \ to \ farm \\- subsidies \ on \ products \ allocated \ to farm}\)
20.57 For details on the calculation of gross value of farm output and intermediate input costs in current prices, see tables 9.1 and 9.34.
20.58 Using the value added approach, GDP by industry cannot be calculated as it is not possible to allocate taxes and subsidies on products to individual industries. To derive farm GDP, however, an allocation of taxes less subsidies on products is made by assuming all products primary to the Agriculture industry, which attract taxes and subsidies, are allocated to the farm economy.
20.59 Both annual and quarterly non-farm GDP are calculated by subtracting farm GDP in current prices from total GDP in current prices.
Farm and non-farm GDP - chain volumes
20.60 As described in chapter 9, volume estimates of farm gross value added are calculated by aggregating components which have predominantly been quantity revalued in the prices of the previous year. To calculate farm GDP in chain volume measures, this estimate of gross value added is added to taxes less subsidies on products for the Agriculture industry, which has been similarly revalued, and the series is chained.
20.61 Non-farm GDP in chain volume terms is calculated by chaining the difference between total GDP and farm GDP.
20.62 It is important to recognise that the derivation of farm GDP (and non-farm GDP) depends on an industry allocation of net taxes on products which is not conceptually valid according to the 2008 SNA. Users should be aware of this when using these aggregates for analytical purposes.
Farm and non-farm GDP - implicit price deflators
20.63 Both annual and quarterly IPDs for farm and non-farm GDP are calculated by dividing the current price estimate by the corresponding chain volume measure.
Endnotes
Income related measures
20.64 The various measures calculated include:
- wages share of total factor income
- profits share of total factor income
- average compensation per employee
- non-farm compensation of employees
- average non-farm compensation per employee.
Wages share of total factor income
20.65 Total factor income (TFI) is the sum of compensation of employees, gross operating surplus and gross mixed income. Wages share of TFI is the percentage of TFI that is made up by compensation of employees (COE).
20.66 Wages share of TFI is calculated as:
\(\large Wages \ share \ of \ total \ factor \ income = \frac{{COE}}{{TFI}} \times 100\)
Profits share of total factor income
20.67 Profits share of TFI is the percentage of TFI that is made up by gross operating surplus (GOS) of financial and non-financial corporations.
20.68 Profits share of TFI is calculated as:
\(\large Profits \ share \ of \ total \ factor \ income = \frac{{GOS}}{{TFI}} \times 100\)
Average compensation per employee
20.69 Average COE is a key analytical indicator of the returns to labour from production. It is calculated as:
\(\large Average \ COE = \frac{{Total \ COE}}{{Total \ employees}}\)
20.70 For national accounting purposes, COE excludes unpaid and self-employed workers. Therefore, the national accounts employment measure also excludes self-employed, volunteer, and family workers and is the average of three months’ estimates. It may differ from other employment estimates published by the ABS.
20.71 An employee is defined as someone who works for cash or payment in kind and has a formal agreement with their employer.
20.72 Total employees include:
- Civilian – an average of three months’ employee estimates; sourced from the Labour Force Survey as a special dataset
- Defence – permanent forces split by Navy, Air Force and Army; sourced from the Department of Defence
- Farm – employee estimates from ANZSIC Division A, Subdivision 01 Agriculture; sourced from the Labour Force Survey.
Non-farm compensation of employees
20.73 Due to the highly seasonal and variable nature of the agricultural industry, it can be useful to remove farm COE from total COE. Non-farm COE is calculated as:
\(\large Non \ farm \ COE \ = \ total \ COE \ - farm \ COE\)
where farm COE is equal to the COE for ANZSIC Subdivision 01 and is sourced from estimates of income by industry.
Average non-farm compensation per employee
20.74 Average non-farm COE is calculated as:
\(\large Average \ non \ farm \ COE = \frac{{Non \ farm \ COE}}{{Non \ farm \ employees}}\)
where non-farm employees equals civilian employees plus Defence employees
Gross entrepreneurial income
20.75 Gross entrepreneurial income (GEI) is the national accounting equivalent of the concept of profit and loss as understood in commercial accounting. It is calculated as a balancing item and is a close approximation of before tax profits.
20.76 GEI for a corporation, quasi-corporation, or an institutional unit owning an unincorporated enterprise engaged in market production, is defined as its gross operating surplus (or gross mixed income), plus property income receivable on the assets owned by the enterprise, less interest payable on the liabilities of the enterprise and rent payable on land or other tangible non-produced assets rented by the enterprise.
20.77 GEI for non-financial corporations is calculated by summing gross operating surplus and total property income receivable, then subtracting interest payable and rent on natural assets payable.
20.78 GEI for financial corporations is calculated by summing gross operating surplus and total property income receivable, then subtracting interest payable, rent on natural assets payable, and property income attributable to insurance policyholders.
20.79 GEI for households is derived by summing gross operating surplus from dwellings, gross mixed income and total property income receivable, then subtracting interest payable and rent on natural assets payable.
Analytical expenditure aggregates
Analytical aggregates of household consumption
20.80 The following analytical splits of household final consumption expenditure (HFCE) are produced:
- Goods and services consumption
- Essential and discretionary consumption
20.81 Table 20.1 shows how the components of HFCE are allocated to each of the above categories. This classification aligns with the broad outlays defined by the Classification of Individual Consumption by Purpose (see chapter 10), and with the concepts of essential and discretionary consumption used by the Reserve Bank of Australia.
HFCE component | Goods or services | Essential or discretionary | Durable or non-durable goods | |
---|---|---|---|---|
Food | Goods | Essential | Non-durable | |
Cigarettes and tobacco | Goods | Discretionary | Non-durable | |
Alcoholic beverages | Goods | Discretionary | Non-durable | |
Clothing & footwear | Goods | Discretionary | Durable | |
Rent & other dwelling services | Services | Essential | ||
Electricity, gas & other fuel | Goods | Essential | Non-durable | |
Furnishings & household equipment | Goods | Discretionary | Durable | |
Health | ||||
Chemist goods | Goods | Essential | Non-durable | |
Doctors & other medical services | Services | Essential | ||
Dentists | Services | Essential | ||
Hospital services | Services | Essential | ||
Purchase of vehicles | Goods | Discretionary | Durable | |
Operation of vehicles | ||||
Fuel | Goods | Essential | Non-durable | |
Goods excluding fuel | Goods | Essential | Non-durable | |
Repairs & servicing | Services | Essential | ||
Transport services | ||||
Rail | Services | Essential | ||
Bus | Services | Essential | ||
Taxis | Services | Essential | ||
Air | Services | Discretionary | ||
Water | Services | Discretionary | ||
Communications | Services | Essential | ||
Recreation & culture | ||||
Goods for recreation & culture | Goods | Discretionary | Durable | |
Recreational & cultural services | Services | Discretionary | ||
Education services | Services | Essential | ||
Hotels, cafes & restaurants | Services | Discretionary | ||
Insurance & other financial services | Services | Essential | ||
Other goods & services | ||||
Personal care | Services | Discretionary | ||
Personal effects | Goods | Discretionary | Durable | |
Other services | Services | Discretionary |
20.82 The analytical aggregates of HFCE are published quarterly in current prices and chain volume measures.
New private business investment
20.83 New private business investment is the sum of gross fixed capital formation (GFCF) of new non-dwelling construction, new machinery and equipment, cultivated biological resources, and intellectual property products. It does not include second-hand asset sales between the public sector and private corporations, which are included in private business investment.
20.84 New private business investment is published in current prices and chain volumes in the ASNA.
Mining and non-mining private business investment
20.85 Mining private business investment measures GFCF by the Mining industry (ANZSIC Division B). It is made up of three subcomponents: GFCF of non-dwelling construction, machinery and equipment, and intellectual property products. On a quarterly basis, estimates for mining investment are compiled by interpolating and extrapolating annual estimates using the following indicators:
- Non-dwelling construction: detailed ‘type of construction’ estimates from the Engineering Construction Survey
- Machinery and equipment: estimates of capital expenditure by the Mining industry on equipment, plant and machinery, from Private New Capital Expenditure and Expected Expenditure
- Intellectual property products: a combination of estimates of total private exploration from Mineral and Petroleum Exploration and linear interpolation of annual estimates from the annual national accounts.
20.86 Quarterly non-mining investment is calculated as the residual of total private business investment, less mining investment. In addition to the 3 subcomponents above, it also includes investment in cultivated biological resources. Quarterly and annual estimates of mining and non-mining investment are published in current prices and chain volumes in the ASNA.
Public and private final demand
20.87 Final demand is equal to total final expenditures and, with changes in inventories and exports less imports of goods and services, makes up GDP. Private final demand is then the sum of HFCE and private GFCF, while public final demand is the sum of government final consumption expenditure and GFCF by general government and public corporations.
20.88 Quarterly and annual estimates of public and private final demand are published in current prices and chain volumes in the ASNA.
Net trade contribution to growth in GDP
20.89 Net trade is the impact of imports and exports on GDP as calculated under the expenditure approach. It is the value of exports of goods and services less the value of imports of goods and services.
20.90 The contribution of net trade to growth in volume GDP is published quarterly in the ASNA and is calculated using the method outlined in Chapter 6.
Inventories and sales
Private non-farm inventory levels
20.91 The level of private non-farm inventories includes Mining, Manufacturing, Wholesale Trade, Retail Trade, and other non-farm and non-public sector inventories. Closing book values are compiled in current prices and chain volume measures.
20.92 The current price estimate is the cumulative sum of the change in book values captured by the Quarterly Business Indicators Survey (QBIS), augmented by some modelled estimates to cover industries out of scope of QBIS. The closing book value inventory levels produced by QBIS are further adjusted to remain consistent with benchmarks produced by supply-use balancing.
20.93 These series are published on a quarterly basis only.
Sales
20.94 Domestic sales are the sum of:
- HFCE on goods
- private GFCF of dwellings, non-dwelling construction, and machinery and equipment
- public GFCF of dwellings, non-dwelling construction, and machinery and equipment.
20.95 Total sales include exports of goods (total non-rural, total rural, and gold) and are the sum of:
- HFCE on goods
- private GFCF of dwellings, non-dwelling construction, and machinery and equipment
- public GFCF of dwellings, non-dwelling construction, and machinery and equipment
- exports of goods.
20.96 These series are compiled in current prices on a quarterly basis only.
Private non-farm inventories to total sales
20.97 Private non-farm inventories to sales is the ratio of private non-farm inventory closing book values to total sales. It is compiled on a quarterly basis only, and is calculated as:
\(\large Private \ non \ farm \ inventories \ to \ total \ sales = \frac{{Private \ non \ farm \ inventories}}{{Total \ sales}}\)
Imports to domestic sales
20.98 Imports to domestic sales is the ratio of imports of merchandise goods to domestic sales. It is compiled on a quarterly basis only, and is calculated as:
\(\large Imports \ to \ domestic \ sales = \frac{{Imports \ of \ merchandise \ goods}}{{Domestic \ sales}}\)
where imports of merchandise goods is the sum of consumption goods, capital goods, and intermediate and other merchandise goods.
Chapter 21 State accounts
Introduction
21.1 The state accounts are a geographic disaggregation into states and territories of the national accounts data presented in the ABS publications, Australian System of National Accounts, and Australian National Accounts: National Income, Expenditure and Product. Experimental accounts¹⁰⁷ were published in 1984, followed by the first official estimates three years later.¹⁰⁸ Those estimates are now published annually in Australian National Accounts: State Accounts.
21.2 The state accounts provide a picture of state and territory economies comparable to the three measures of Gross Domestic Product (GDP), and other key national accounts concepts, such as household income and household consumption.
21.3 The key output of the state accounts is annual Gross State Product (GSP) which is directly comparable in concept to the national measure of Gross Domestic Product. The ABS does not produce quarterly GSP, but quarterly state final demand (SFD) is calculated. SFD is directly comparable to domestic final demand at the national level. It is a partial measure of GSP measured by the expenditure approach, in that this measure excludes both international and interstate trade, as well as changes in inventories. As such, the two measures should not be directly compared.
21.4 Throughout this chapter, the term 'state' refers to all states and territories of Australia.
Endnotes
History and purpose of gross state product
Introduction
21.5 Gross state product (or regional product) is the equivalent of gross domestic product for a region of a national economy. This measure can be produced for a region of any size whether a state, territory, or district. In the Australian context, it is compiled for the six states and two territories and is termed Gross State Product.
21.6 The history of state or regional product is much shorter than that for the national accounts: official sub-national estimates have been produced for the last thirty years.
21.7 No country currently compiles a complete set of SNA accounts for regions of a national economy, with most countries focussing on allocating productive activities to regions. This is largely due to conceptual difficulties with the allocation of economic activity of multi-region institutional units.
21.8 Some productive activities which operate across regions, such as finance, transport and communications, can be problematic to allocate to states and territories. Work is continuing internationally on improving the scope, quality and relevance of the state/regional accounts; Australian efforts are described throughout this chapter.
21.9 State accounts are used for the twin purposes of policy formulation and government planning. The main use is to assist in the formation of policies for industrial development and infrastructure provision, and to plan public finances. GSP is also used to explain GDP results in a regional context, as well as comparing growth across regions.
History in Australia
21.10 In 1987, the ABS released experimental state estimates in the publication, Australian National Accounts: State Accounts. Since that time, there has been ongoing work to improve estimates of Gross State Product, and to expand the amount of information contained within the state accounts. Key milestones include:
1984 | Publication of occasional paper, State Accounts Australia: Issues and Experimental Estimates. |
1987 | First release of annual publication, Australian National Accounts: State Accounts, 1985-86 (cat. no. 5220.0). |
1993 | First release of quarterly publication, Australian National Accounts: State Accounts, December quarter 1992 (cat. no. 5242.0) – ceased. |
1993-94 | Constant price estimates introduced using average 1989-90 prices for cat. nos. 5220.0 and 5242.0. |
1997-98 | Implementation of 1993 SNA and introduction of chain volume estimates, to replace constant price estimates. |
2006-07 | Introduction of GSP(P) estimates, with estimates no longer being treated as experimental. |
2008-09 | Implementation of ANZSIC06 and 2008 SNA. |
2016-17 | Introduction of state capital stock and productivity estimates. |
Overview of the state accounts methodology
21.11 The state accounts are a geographic disaggregation into states and territories of national accounts data. State estimates are compiled by allocating the national economic flows and other transactions to the state in which they occur. These estimates are then aggregated to produce the state accounts. The state accounts are consistent with the 2008 SNA, given the relationship to national accounts. It is worth noting that there are currently no international standards regarding the compilation of regional accounts.
21.12 The state accounts are compiled for the production accounts, as well as the household income account.
Top-down approach – indicator allocation to states
21.13 The state accounts generally use a top-down approach, which allocates national estimates to the state level using state indicators. This approach ensures the state estimates are consistent and additive to national aggregates. It is represented below using the formula:
\(\text{State estimate} = \frac{\Large\text{State indicator}}{\Large\text{Australian indicator}} \times \text{Australian benchmark} \)
21.14 State indicators are derived from a range of ABS and other data sources. State indicators are designed to allocate economic activity in line with the predominant economic interest of the institutional XE units involved. For productive activity, state allocation is matched to the state location of the factors of production (i.e. labour and capital). Transactions XE "Transactions" involving the household sector, such as household consumption and income flows, are allocated based upon state of residence of household units involved.
21.15 Some indicators match exactly or closely to national benchmarks for which they are used to allocate to states. This occurs for a small number of data sources such as Government Finance Statistics (GFS), which are built up from state components.
21.16 There are some cases where a national total is disaggregated into two variables of interest, such as 'state' and 'industry'. In such cases, the national total and the state disaggregation are fixed, but an independent derivation of industry (split using the top-down approach) may yield a different set of state totals. In these cases, a residual allocation algorithm is applied to ensure the industry disaggregation is consistent with the state dissection; the state by industry disaggregation; and the national total for that aggregate.
21.17 By contrast, the bottom-up approach is used where national estimates in the national accounts are created as the sum of states or more detailed location information. In those cases, state allocation is built into national estimates, which eliminates the need for indicator allocation of national estimates. Ideally, all state-based estimates in both the national and state accounts would be produced using the bottom-up approach; however, difficulties around allocating productive activity and institutions limit the bottom-up approach to a small number of cases.
Overview of Gross State Product
Introduction
21.18 Gross State Product is the aggregate which details the total economic production of a state economy and is the state equivalent to GDP. In the ASNA XE , GSP for the eight state and territories add to GDP in current prices, in line with the top-down approach.
21.19 As with GDP, there are three approaches to measuring GSP. The major difference between compilation of GDP and GSP is that the income and expenditure approaches are combined to overcome measurement issues for Gross State Product:
- Income approach (GSP(I));
- expenditure approach (GSP(E));
- combined income/expenditure measure (GSP(I/E)); and
- production approach (GSP(P)).
GSP(I)
21.20 GSP(I) is derived by summing the income flows accruing to factors of production, plus taxes less subsidies on production and imports:
GSP(I) = Compensation of employees | |
+ Gross operating surplus | |
+ Gross mixed income | |
+ Taxes on production and imports | |
– Subsidies on production and imports |
21.21 In the state accounts, GSP(I) is published in current price terms only as its components cannot be divided into price and quantity elements. GSP(I) is the basis for measurement of GSP as it is the only complete measure of current price GSP in the state accounts. As such it is a starting point for producing volume estimates of GSP(I/E) and GSP(P).
GSP(E)
21.22 GSP(E) is derived as the sum of all final expenditures on goods and services:
GSP(E) = Final consumption expenditure | |
+ Gross fixed capital formation | |
+ Changes in inventories | |
+ Exports | |
– Imports |
21.23 At the state level the expenditure measure must include both international trade and trade between states, as well as changes in inventories. Currently there is no data source available to produce interstate trade or change in inventories on a state basis.
21.24 The inability to measure interstate trade and state level changes in inventories is overcome by assuming that GSP(E) is equal to GSP(I), forming what is known as the GSP(I/E) measure. This is discussed in more detail below. Items of GSP(E) which can be measured are defined as the known components of GSP(E).
Combined GSP(I/E) measure
21.25 GSP(I/E) is a single measure of GSP produced by assuming GSP(E) is equal to the GSP(I) measure. It is used to overcome the inability to derive all components of the GSP(E) measure. The process is to first produce a current price GSP(I/E) using the GSP(I) measure to allocate to states the average of the GSP(I) and GSP(E) measures.
21.26 A chain volume GSP(I/E) is then produced by deflating current price GSP(I/E) with a deflator produced with known components of GSP(E), which are state final demand and international trade.
21.27 Known components of GSP(I/E) are published. The difference between the known components of expenditure and the total GSP(I/E) is published as the balancing item. The balancing item, in theory, consists of interstate trade and changes in inventories.
GSP(P)
21.28 GSP(P) is the sum of value added for all industries. Conceptually, GSP(P) is as follows:
GSP(P) | = Gross value added + Taxes on products – Subsidies on products |
= Output – Intermediate consumption + Taxes on products – Subsidies on products |
21.29 Gross value added (GVA) is the difference between output and intermediate consumption at basic prices for each institutional unit and thereby measures the value created by production. Value added represents the contribution of labour and capital to the production process. In the state accounts, estimates for intermediate consumption are not available, meaning calculation of current price and volume GVA requires alternative estimation methods.
21.30 Current price GVA is calculated using income components, using the assumption that GSP(I) = GSP(P).
21.31 The output indicator method is used to produce chain volume (CVM) estimates of GVA. This involves extrapolating reference year estimates of current price GVA using movements of indicators of output volumes.
Published GSP
21.32 In the state accounts, the published GSP is the average of the GSP(I/E) and GSP(P) measures. This is represented algebraically as:
\(\text {GSP}=\frac{\large\text(GSP(P)+GSP(I⁄E))}{\large2}\)
21.33 This measure maximises the use of information about state economic activity and is more stable over time than either the GSP(P) or the GSP(I/E) measure. Individual measures of GSP(P) and GSP(I/E) are not separately published in the state accounts.
Statistical discrepancy
21.34 To reconcile the sum of the components of the various measures of GSP with the published GSP a statistical discrepancy is derived. This ensures additivity for current price estimates as well as chain volume estimates in the reference year and beyond.
21.35 The statistical discrepancy is calculated as:
\(Statistical \space discrepancy(P)=GSP-\sum components \space of \space GSP(P) \)
\(Statistical \space discrepancy(I/E)=GSP-\sum components \space of \space GSP(I/E) \)
\(Statistical \space discrepancy(I)=GSP-\sum components \space of \space GSP(I) \)
21.36 Ideally the statistical discrepancy should equal zero as all measures of GSP should be equal in concept. This is not the case in the state accounts due the lower quality of data sources at state level as well as other measurement issues.
21.37 It should be noted that the statistical discrepancy is conceptually different to the balancing item. The balancing item is representative of economic transactions such as interstate trade and inventories. As such changes in the value of the balancing items are representative of economic events and are not a reflection on the quality of the state accounts.
GSP compilation
21.38 The process of compiling GSP in the state accounts is sequential with GSP measures for current prices and volumes interrelated. The process for compiling GSP includes the following steps:
- Create current price GSP(I);
- Create known components of GSP(E);
- Combine GSP(I) and known components of GSP(E) to produce current price and volume measures of GSP(I/E);
- Create current price GSP(P) using components of GSP(I);
- Create volume GSP(P) using the output indicator approach;
- Create volume GSP as an average of GSP(P) and GSP(I/E).
21.39 Current price income GSP(I) is the starting point for volume GSP(P) and GSP(I/E) measures as it is the only measure which is independently produced for current price estimates. Compilation of GSP(P) and GSP(I/E) therefore use the assumption that:
- GSP(I) = GSP(E) for current price GSP(I/E); and
- GSP(I) = GSP(P) for current price GSP(P).
21.40 Volume estimates of GSP(I/E) and GSP(P) can then be calculated, as it is not possible to produce volume estimates without a current price base. More detail on the individual steps of GSP compilation are included in following sections.
Income from Gross State Product – GSP(I)
21.41 GSP(I) is derived by summing the income flows from the factors of production (labour and capital). That is the sum of the factor incomes and taxes less subsidies on production and imports:
GSP(I) = compensation of employees | |
+ gross operating surplus | |
+ gross mixed income | |
+ taxes on production and imports | |
- subsidies on production and imports |
Compensation of employees
21.43 Compensation of employees (COE) is allocated to the location where employment occurs. COE is estimated at an industry division and sector level. State estimates of COE are compiled from a range of ABS survey data.
Gross operating surplus and gross mixed income
21.44 Gross operating surplus and gross mixed income (GOS/GMI) are allocated to the location where production activity occurs (rather than based upon any ownership or head office structure).
21.45 National estimates of GOS by sector are apportioned across states and territories by industry, predominantly using ABS survey data.
21.46 Estimates of GMI are apportioned across states and territories by industry using ABS survey data.
Taxes less subsidies on production and imports
21.47 Taxes less subsidies on production and imports relating to the state and local government sector are allocated directly to the state in which they are collected or paid. It is assumed that all production taxes collected by a particular state government are paid by entities resident in that state. Similarly, it is assumed that any subsidies paid by a state government are paid to resident entities of that state.
21.48 Commonwealth taxes and subsidies are allocated to state using a range of activity indicators such as household final consumption expenditure.
Compensation of employees
21.49 State by sector estimates of COE are produced annually for the state accounts, and quarterly for Australian National Accounts: National Income, Expenditure and Product. State by industry splits of COE are produced annually for the state accounts.
Annual sector compensation of employees
21.50 Annual state totals for COE are compiled by aggregating sector-based subcomponents which include private and public sector estimates of cash wages and salaries, payments in kind, and employer social contributions (ESC). All components are estimated using a top-down approach; that is, national benchmarks are apportioned across states and territories using source data indicators based on the location of the employer.
21.51 The following table outlines the data sources used to estimate annual compensation of employees.
Item | Comment | ||
---|---|---|---|
Method | |||
National estimates of sectoral COE are apportioned across states and territories using relevant output indicators: \(\large{ \text {state sectoral COE} = \text{national sectoral COE} \times \left(\frac{\text{state employee expenses indicator}}{\text{national employee expenses indicator}}\right)}\) |
|||
Wages and salaries indicators | |||
Private sector | |||
Non-farm | |||
|
For the current year, wages and salaries data from the Quarterly Business Indicators Survey (QBIS) is used to extrapolate forward wages and salaries data from EAS. Those extrapolated values are used to apportion national private non-farm wages and salaries across states and territories. From 2006-07 to the reference year, wages and salaries data from the Economic Activity Survey (EAS) (excluding the Agriculture subdivision) is used to apportion national private non-farm wages and salaries across states and territories. For values prior to 2006-07, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those output indicators are used to backcast EAS data from 2006-07. The backcasted values are used to apportion national private non-farm wages and salaries across states and territories. |
||
Farm | |||
|
For the current year, total hours worked estimates from the Labour Force Survey are used to extrapolate EAS wages and salaries data forward. Those extrapolated values are used to apportion national private farm wages and salaries across states and territories. From 2006-07 to the reference year, Agriculture subdivision wages and salaries data from the Economic Activity Survey (EAS) is used to apportion national private farm wages and salaries across states and territories. For values prior to 2006-07, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those output indicators are used to backcast EAS data from 2006-07. Those backcasted values are used to apportion national private farm wages and salaries across states and territories. |
||
Public sector | |||
Defence | |||
|
Wages and salaries for defence employees are collected at a national level in Government Finance Statistics (GFS). The national estimates are apportioned across states and territories using the proportion of permanent military personnel in each state and territory. |
||
Non-defence | |||
|
Wages and salaries for non-defence public sector (across all jurisdictions) employees are collected in GFS. Wages and salaries of domestic Commonwealth public sector employees are apportioned across states and territories based on the share of earnings of employees in each jurisdiction. Estimates from the Survey of Employment and Earnings (SEE) are used to determine the state shares. Payments to staff of Australian embassies and consulates overseas, are allocated to the Australian Capital Territory. |
||
Non-cash wages – payments in kind | |||
Data for state and territory estimates of the value of fringe benefits payable to public sector employees are collected in the survey of Major Labour Costs (MLC). This survey is run intermittently. Estimates for the latest years, and for years between surveys, are interpolated in line with underlying wage growth for each jurisdiction by sector. |
|||
Employer social contributions | |||
Private sector | |||
|
Data for state and territory estimates of employer social contributions are sourced from the intermittent MLC survey. Estimates for the latest years, and for years between surveys, are interpolated in line with underlying wage growth for each jurisdiction by sector. |
||
Public sector | |||
|
Superannuation paid to public sector employees is collected in GFS. All other components of employer social contributions are sourced from the intermittent MLC survey. Estimates for the latest years, and for years between surveys, are interpolated in line with underlying wage growth for each jurisdiction by sector. |
State by industry compensation of employees
21.52 Annual state by industry splits of COE are produced using a top-down approach. National industry estimates of COE are apportioned across states and territories using state by industry indicators of wages and salaries.
21.53 The state by industry division indicators of wages and salaries are created by summing data from the Economic Activity Survey (EAS) (for corporations) with data from the Survey of Employment and Earnings (for the general government sector).
21.54 In the current year, where EAS data is not available, wages and salaries data from the Quarterly Business Indicators Survey and estimates of hours worked from the Labour Force Survey are used as indicators
21.55 The state by industry COE estimates are constrained to two sets of benchmarks:
- state by sector estimates of COE
- national industry division estimates of COE.
21.56 Any residual imbalance is allocated across the state by industry estimates to ensure additivity to both benchmarks.
21.57 The following tables provide additional detail on the method and data sources used to estimate state COE by industry:
Item | Comment | |
---|---|---|
Method | ||
|
For the ANZSIC divisions above, estimates of state industry COE are allocated using relevant wages and salaries indicators: \(\large{ \text {state COE} = \text{national COE} \times \left(\frac{\text{state wages and salaries indicator}}{\text{national wages and and salaries indicator}}\right)} \) |
|
Wages and salaries indicator | ||
Current year | ||
Wages and salaries data from the Quarterly Business Indicators Survey is used to extrapolate forward EAS wages and salaries data. Those extrapolated values are added to SEE estimates and then are used to apportion national COE across states and territories. | ||
2006-07 to reference year | ||
Wages and salaries data from the Economic Activity Survey (EAS) and the Survey of Employment and Earnings (SEE) are used to apportion national COE across states and territories. | ||
Prior to 2006-07 | ||
For values prior to 2006-07, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those output indicators are used to backcast EAS data from 2006-07. Those backcasted values are added to SEE estimates and then used to apportion national COE across states and territories. |
Item | Comment | |
---|---|---|
Method | ||
|
Estimates of state industry COE are apportioned across states and territories using relevant output indicators: \(\large{ \text {state COE} = \text{national COE} \times \left(\frac{\text{state wages and salaries indicator}}{\text{national wages and and salaries indicator}}\right)} \) |
|
Wages and salaries indicator | ||
Current year | ||
Total hours worked from the Labour Force Survey are used to extrapolate forward EAS wages and salaries. Those extrapolated values are added to SEE estimates to derive a state indicator which is used to apportion national COE across states and territories. | ||
2006-07 to reference year | ||
Wages and salaries data from the Economic Activity Survey (EAS) and the Survey of Employment and Earnings (SEE) are used to apportion national COE across states and territories. | ||
Prior to 2006-07 | ||
|
For values prior to 2006-07, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those output indicators are used to backcast EAS data from 2006-07. Those values are added to SEE estimates and then used to apportion national COE across states and territories. |
Item | Comment | |
---|---|---|
Method | ||
|
Estimates of state industry COE are apportioned across states and territories using relevant output indicators: \(\large{ \text {state COE} = \text{national COE} \times \left(\frac{\text{state wages and salaries indicator}}{\text{national wages and and salaries indicator}}\right)} \) |
|
Wages and salaries indicator | ||
2006-07 to current year | ||
Wages and salaries data from the Quarterly Business Indicators Survey (QBIS) and the Survey of Employment and Earnings (SEE) are used to apportion national COE across states and territories. | ||
Prior to 2006-07 | ||
For values prior to 2006-07, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those output indicators are used to backcast QBIS data from 2006-07. Those backcasted values are added to SEE estimates and then used to apportion national COE across states and territories. |
Item | Comment | |
---|---|---|
Method | ||
|
Estimates of state industry COE for are apportioned across states and territories using relevant output indicators: \(\large{ \text {state COE} = \text{national COE} \times \left(\frac{\text{state wages and salaries indicator}}{\text{national wages and and salaries indicator}}\right)} \) |
|
Wages and salaries indicator | ||
Current year | ||
Total state private sector COE is used to extrapolate forward EAS wages and salaries data. Those extrapolated values are added to SEE estimates to derive a state indicator which used to apportion national COE across states and territories. | ||
2006-07 to reference year | ||
Wages and salaries data from the Economic Activity Survey (EAS) and the Survey of Employment and Earnings (SEE) are used to apportion national COE across states and territories. | ||
Prior to 2006-07 | ||
For values prior to 2006-07, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those output indicators are used to backcast EAS data backwards from 2006-07. Those backcasted values are added to SEE estimates and then used to apportion national COE across states and territories. |
Quarterly compensation of employees
21.58 Quarterly state totals for COE are compiled in a manner similar to the annual state by sector COE estimates. Quarterly state COE estimates are aggregated from values of sector-based subcomponents that are calculated by apportioning national estimates across states and territories. Quarterly estimates are benchmarked to annual state totals to ensure consistency between quarterly and annual estimates.
21.59 The following table outlines the method and data sources used to estimate quarterly state compensation of employees.
Item | Comment | ||
---|---|---|---|
Wages and salaries | |||
Private sector | |||
Non-farm | |||
|
Wages and salaries for private sector non-farm employees are based on estimates from the Quarterly Business Indicators Survey (QBIS). | ||
|
Quarterly farm wages and salaries are apportioned across states and territories using estimates of employment from the Labour Force Survey (LFS). | ||
Public Sector | |||
Defence | |||
|
Wages and salaries for defence employees are collected at a national level in Government Finance Statistics (GFS). The national estimates are apportioned across states and territories using the proportion of permanent military personnel in each state and territory. | ||
Non-defence | |||
|
Wages and salaries for non-defence public sector employees are collected in GFS. Wages and salaries of domestic Commonwealth public sector employees are apportioned across states and territories based on the earnings of employees in each jurisdiction (collected in the Survey of Employment and Earnings). Payments to staff of Australian embassies and consulates overseas, are allocated to the Australian Capital Territory. |
||
Non-cash wages – payments in kind | |||
Estimates for quarterly payments in kind are moved in line with underlying wage growth for states. | |||
Employer social contributions | |||
Estimates for quarterly employer social contributions are moved in line with underlying wage growth for states. |
Gross operating surplus and gross mixed income
21.60 Gross operating surplus (GOS) is the surplus accruing from the production of enterprises, and from the ownership of dwellings. For the general government sector, GOS is equal to the consumption of fixed capital.
21.61 Gross mixed income (GMI) is the surplus accruing from the production of unincorporated enterprises. State level GOS and GMI estimates are then published by industry in an aggregated form as gross operating surplus and mixed income (GOSMI).
21.62 State by industry estimates of GOS and GMI are only calculated annually. There are no quarterly estimates for GOS or GMI by state
Gross operating surplus
21.63 Annual state by industry splits of GOS are produced using a top-down approach. National industry estimates of GOS by sector are apportioned across states and territories using relevant indicators. The state by industry indicators used to split the national benchmarks differ by industry and are determined by sector.
21.64 State by sector splits of GOS are calculated for each industry division and then aggregated to produce total state GOS by industry.
Annual state by industry private non-financial corporations GOS
21.65 Indicators of private sector GOS are predominantly based on state by industry division sales data from the Economic Activity Survey (EAS). Other data are used as indicators where they are more relevant or where EAS is not available.
21.66 The following tables provide additional detail on the method and data sources used to estimate private sector state GOS by industry:
Item | Comment | |
---|---|---|
Method | ||
|
National private non-financial corporation GOS is apportioned across states and territories by industry using relevant output indicators: \(\large{ \text {state GOS} = \text{national GOS} \times \left(\frac{\text{state output indicator}}{\text{national output indicator}}\right)} \) |
|
Output indicator | ||
Current year | ||
Sales data from the Quarterly Business Indicators Survey (QBIS) is used to extrapolate forward EAS sales estimates. Those extrapolated values are used to apportion national GOS across states and territories by industry. |
||
2006-07 to reference year | ||
|
Sales data from the Economic Activity Survey (EAS) is used to apportion national GOS across states and territories by industry. |
|
Prior to 2006-07 | ||
|
For values prior to 2006-07, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those output indicators are used to backcast EAS data from 2006-07. Those backcasted values are then used to apportion national GOS across states and territories. |
Item | Comment | |
---|---|---|
Method | ||
|
National Agriculture, Forestry and Fishing GOS is apportioned across states and territories using relevant output indicators: \(\large{ \text {state GOS} = \text{national GOS} \times \left(\frac{\text{state output indicator}}{\text{national output indicator}}\right)} \) |
|
Output indicator | ||
Current year | ||
Industry output data (see calculation of Agriculture, Forestry and Fishing gross value added by state) is used to extrapolate forward EAS sales data and derive state output indicators which are used to apportion national GOS across states and territories. | ||
2006-07 to previous year | ||
|
Sales data from the Economic Activity Survey (EAS) is used to apportion national GOS across states and territories. |
|
Prior to 2006-07 | ||
|
For values prior to 2006-07, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those output indicators are used to backcast EAS data from 2006-07. Those backcasted values are used to apportion national GOS across states and territories. |
Item | Comment | |
---|---|---|
Method | ||
|
National Mining GOS is apportioned across states and territories using relevant output indicators: \(\large{ \text {state GOS} = \text{national GOS} \times \left(\frac{\text{state output indicator}}{\text{national output indicator}}\right)} \) |
|
Output indicator | ||
All years | ||
Industry output data (see the calculation of Mining gross value added by state) is used to apportion national GOS across states and territories. |
Item | Comment | |
---|---|---|
Method | ||
|
National Construction GOS is apportioned across states and territories using relevant output indicators: \(\large{ \text {state GOS} = \text{national GOS} \times \left(\frac{\text{state output indicator}}{\text{national output indicator}}\right)} \) |
|
Output indicator | ||
2006-07 to current year | ||
Estimates of the value of work done (see the calculation of construction related gross fixed capital formation) are used to apportion national GOS across states and territories. | ||
Prior to 2006-07 | ||
|
For values prior to 2006-07, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those output indicators are used to backcast value of construction work done from 2006-07. Those backcasted values are then used to apportion national GOS across states and territories. |
Item | Comment | |
---|---|---|
Method | ||
|
Retail Trade estimates of private non-financial corporations GOS are apportioned across states and territories using relevant output indicators: \(\large{ \text {state GOS} = \text{national GOS} \times \left(\frac{\text{state output indicator}}{\text{national output indicator}}\right)} \) |
|
Output indicator | ||
All years | ||
Turnover data from the Retail Trade Survey is used to apportion national GOS across states and territories |
Item | Comment | |
---|---|---|
Method | ||
|
National GOS by industry are apportioned across states and territories using relevant output indicators: \(\large{ \text {state GOS} = \text{national GOS} \times \left(\frac{\text{state output indicator}}{\text{national output indicator}}\right)} \) |
|
Output indicator | ||
Current year | ||
Population estimates are used to extrapolate forward EAS sales data. Those extrapolated values are used to apportion national GOS across states and territories. | ||
2006-07 to previous year | ||
Sales data from the Economic Activity Survey (EAS) is used to apportion national GOS across states and territories. | ||
Prior to 2006-07 | ||
For values prior to 2006-07, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those output indicators are used to backcast EAS data backwards from 2006-07. Those backcasted values are then used to apportion national GOS across states and territories. |
Annual state by industry public non-financial corporation GOS
21.67 Public non-financial corporations (PNFC) GOS is estimated based on GOS data collected in Government Finance Statistics.
21.68 The following table provides additional detail on the method and data sources used to estimate public non-financial corporations GOS by state:
Item | Comment | |
---|---|---|
Method | ||
|
Public non-financial corporations GOS estimates by industry division are apportioned across states and territories using GOS indicators: \(\large{ \text {state GOS} = \text{national GOS} \times \left(\frac{\text{state GOS indicator}}{\text{national GOS indicator}}\right)} \) |
|
GOS indicator | ||
State and local PNFC | ||
|
State and local public non-financial corporations GOS data is sourced from Government Finance Statistics (GFS). |
|
Commonwealth PNFC | ||
Commonwealth public non-financial corporations GOS data is apportioned across states and territories using estimates of resident population. | ||
Total PNFC | ||
The PNFC GOS indicators for each level of government are aggregated to produce a total PNFC GOS indicator by industry. |
Annual state by industry general government GOS
21.69 General government GOS is equal to consumption of fixed capital (COFC) of general government assets. General government GOS is estimated by industry division and is apportioned across states and territories using COFC estimates derived from the state capital stock model. For the current year, population estimates are used to extrapolate forward estimates of COFC
21.70 The following table provides additional detail on the method and data sources used to estimate general government GOS by state:
Item | Comment | |
---|---|---|
Method | ||
|
General government GOS estimates by industry division are apportioned across states and territories using consumption of fixed capital (COFC) indicators: \(\large{ \text {state GOS} = \text{national GOS} \times \left(\frac{\text{state COFC indicator}}{\text{national COFC indicator}}\right)} \) |
|
COFC indicator | ||
Current year | ||
Population estimates are used to extrapolate forward estimates of consumption of fixed capital. The resulting values are then used to apportion national general government GOS across states and territories. | ||
Prior to the current year | ||
For values prior to the current year, estimates of consumption of fixed capital from the state capital stock model are used to apportion national GOS across states and territories. |
Annual state financial and insurance services GOS
21.71 Financial and Insurance Services GOS is estimated using a top-down approach. National GOS for each subdivision is apportioned across states and territories using estimates of hours worked from the Labour force Survey. GOS by subdivision estimates are then aggregated to produce Financial and Insurance Services GOS by state.
21.72 The following table provides additional detail on the method and data sources used to estimate subdivision GOS by state:
Item | Comment | |
---|---|---|
Method | ||
|
Financial and Insurance Services GOS for each state and territory is calculated by summing estimates of GOS by industry subdivision. National industry subdivision estimates are apportioned across states and territories according to number of hours worked: \(\large state \space GOS_{Div. K}= \sum \limits _{n=Subdiv} \Big( national \space GOS_n × (\frac{state \space hours \space worked_n}{national \space hours \space worked_n})\big)\) |
|
Hours worked indicator | ||
All years | ||
|
Estimates of the number of hours worked, collected in the Labour Force Survey, are used to apportion national subdivision GOS across states and territories. |
Annual ownership of dwellings GOS by state
21.73 Ownership of dwellings GOS for the household sector is estimated using a bottom-up approach but is derived residually from ownership of dwellings output.
21.74 For the other sectors, ownership of dwellings GOS is estimated using a top-down approach. National estimates of GOS are apportioned across states and territories using estimates of consumption of fixed capital derived from the state capital stock model. For the current year, population estimates are used to extrapolate forward estimates of COFC.
21.75 The following tables provide additional detail on the method and data sources used to estimate ownership of dwellings GOS by state and territory:
Item | Comment | |
---|---|---|
Method | ||
|
Ownership of dwellings GOS is derived as follows: GOS=output |
|
Output | ||
|
Ownership of dwellings output is equivalent to the estimate of household final consumption expenditure on imputed and actual dwelling rent which is compiled for each state and territory. The data sources and methods used to compile state estimates of |
|
Intermediate use | ||
|
Intermediate use related to ownership of dwellings includes:
Most of these expenses are apportioned across states and territories from national totals using a combination of data sources, including:
|
|
Other taxes less subsidies on production and imports | ||
|
Other taxes less subsidies are derived largely from GFS data, relating mainly to rates and land taxes and public housing subsidies. Other taxes less subsidies on production and imports relating to state and local governments are allocated directly to the state in which they are collected or paid. |
Item | Comment | |
---|---|---|
Method | ||
|
Ownership of dwellings GOS estimates are apportioned across states and territories using consumption of fixed capital (COFC) indicators by sector: \(\large{ \text {state GOS} = \text{national GOS} \times \left(\frac{\text{state COFC indicator}}{\text{national COFC indicator}}\right)} \) |
|
COFC indicator | ||
Current year | ||
Population estimates are used to extrapolate forward estimates of consumption of fixed capital to derive a state indicator which is used to national GOS across states and territories. | ||
Prior to the current year | ||
For values prior to the current year, estimates of consumption of fixed capital from the state capital stock model are used to apportion national GOS across states and territories. |
Gross mixed income
21.76 Annual state by industry splits of GMI are produced using a top-down approach. National industry estimates of GMI are apportioned across states and territories using relevant indicators.
21.77 The following tables detail the method and data sources used to estimate state by industry division GMI.
Item | Comment |
---|---|
Method | |
|
Estimates of farm GMI are apportioned across states and territories using an output indicator calculated residually from Agriculture, Forestry and Fishing (AFF) gross value added: \(\large{ \text {state GMI} = \text{national GMI} \times \left(\frac{\text{state output indicator}}{\text{national output indicator}}\right)} \) |
Output indicator | |
|
The farm GMI output indicator is derived as follows: Indicator = AFF gross value added - AFF wages and salaries - AFF gross operating surplus - AFF other taxes less subsidies on production |
Item | Comment | |
---|---|---|
Method | ||
|
Estimates of non-farm GMI in the Agriculture, Forestry and Fishing industry division are apportioned across states and territories using relevant output indicators: \(\large{ \text {state GMI} = \text{national GMI} \times \left(\frac{\text{state output indicator}}{\text{national output indicator}}\right)} \) |
|
Output indicator | ||
All years | ||
|
Forestry and Fishing output data, derived in the calculation of gross value added, is used to apportion national GMI across states and territories. |
Item | Comment | |
---|---|---|
Method | ||
|
For the industry divisions listed above, estimates of GMI are apportioned across states and territories using relevant output indicators: \(\large{ \text {state GMI} = \text{national GMI} \times \left(\frac{\text{state output indicator}}{\text{national output indicator}}\right)} \) |
|
Output indicator | ||
Current year | ||
|
Sales data from the Quarterly Business Indicators Survey (QBIS) is used to extrapolate forward EAS sales data. Those extrapolated values are used to apportion national GMI across states and territories. |
|
2006-07 to reference year | ||
|
Sales data from the Economic Activity Survey (EAS) is used to apportion national GMI across states and territories. |
|
Prior to 2006-07 | ||
|
For values prior to 2006-07, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those output indicators are used to backcast EAS data from 2006-07. Those backcasted values are then used to apportion national GMI across states and territories. |
Item | Comment | |
---|---|---|
Method | ||
|
Estimates of Construction GMI are apportioned across states and territories using relevant output indicators: \(\large{ \text {state GMI} = \text{national GMI} \times \left(\frac{\text{state output indicator}}{\text{national output indicator}}\right)} \) |
|
Output indicator | ||
Current year | ||
|
Values of work done from the Building Activity Survey are used to extrapolate forward EAS sales data. Those extrapolated values are used to apportion national GMI across states and territories. |
|
2006-07 to reference year | ||
|
Sales data from the Economic Activity Survey (EAS) is used to apportion national GMI across states and territories. |
|
Prior to 2006-07 | ||
|
For values prior to 2006-07, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those output indicators are used to backcast EAS data from 2006-07. Those backcasted values are then used to apportion national GMI across states and territories. |
Item | Comment | |
---|---|---|
Method | ||
|
Estimates of Retail Trade GMI are apportioned across states and territories using relevant output indicators: \(\large{ \text {state GMI} = \text{national GMI} \times \left(\frac{\text{state output indicator}}{\text{national output indicator}}\right)} \) |
|
Output indicator | ||
Current year to 2006-07 | ||
|
Turnover data from the Retail Trade Survey is used to apportion national GMI across states and territories. |
|
Prior to 2006-07 | ||
|
For values prior to 2006-07, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those output indicators are used to backcast Retail Trade Survey turnover data from 2006-07. Those backcasted values are then used to apportion national GMI across states and territories. |
Item | Comment | |
---|---|---|
Method | ||
|
Estimates of Accommodation and Food Services GMI are apportioned across states and territories using relevant output indicators: \(\large{ \text {state GMI} = \text{national GMI} \times \left(\frac{\text{state output indicator}}{\text{national output indicator}}\right)} \) |
|
Output indicator | ||
Current year to 2006-07 | ||
|
Estimates of household final consumption expenditure (HFCE) on hotels, cafes and restaurants are used to apportion national GMI across states and territories. |
|
Prior to 2006-07 | ||
For values prior to 2006-07, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those output indicators are used to backcast HFCE on hotels, cafes and restaurants from 2006-07. Those backcasted values are then used to apportion national GMI across states and territories. |
Item | Comment | |
---|---|---|
Method | ||
|
For the industry divisions listed above, estimates of GMI are apportioned across states and territories using relevant output indicators: \(\large{ \text {state GMI} = \text{national GMI} \times \left(\frac{\text{state output indicator}}{\text{national output indicator}}\right)} \) |
|
Output indicator | ||
Current year | ||
|
Estimates of household final consumption expenditure (HFCE) by relevant spending categories are used to extrapolate forward sales data from the Economic Activity Survey. Those extrapolated values are used to apportion national GMI across states and territories. |
|
2006-07 to previous year | ||
|
Sales data from the Economic Activity Survey (EAS) is used to apportion national GMI across states and territories. |
|
Prior to 2006-07 | ||
|
For values prior to 2006-07, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those output indicators are used to backcast EAS data from 2006-07. Those backcasted values are then used to apportion national GMI across states and territories. |
Taxes less subsidies on production and imports
21.78 Taxes (and subsidies) on production and imports are disaggregated into two components:
- Taxes (and subsidies) on products, which include:
- taxes that are payable on goods and services when they are produced, delivered, sold, transferred or otherwise disposed of by their producers;
- taxes and duties on imports payable when goods enter the economic territory or when services are delivered to residents by non-residents; and
- subsidies are usually payable when the goods or services are produced, sold or imported, transferred, leased, delivered or used for own consumption or own capital formation.
- Other taxes (and subsidies) on production, which include:
- taxes related to the payroll or workforce numbers excluding compulsory social security contributions paid by employers and any taxes paid by the employees themselves out of their wages or salaries; recurrent taxes on land, buildings or other structures; some business and professional licences where no service is provided by the Government in return; taxes on the use of fixed assets or other activities; stamp duties; taxes on pollution; and taxes on international financial transactions; and
- subsidies other than those on products, including subsidies on the payroll or workforce, and may relate to the total salary bill or the employment of particular types of persons, such as handicapped persons and the long-term unemployed.
21.79 Taxes and subsidies on production and imports are classified as follows:
- Commonwealth taxes and subsidies; and
- State and local taxes and subsidies.
Commonwealth taxes and subsidies on production and imports
21.80 Location details for individual Commonwealth taxes and subsidies on production and imports are not recorded; they are therefore allocated to states using available state indicators.
21.81 Individual Commonwealth taxes on products are allocated to state using indicator data. Commonwealth other taxes on production other than renewable energy certificates (RECs) are allocated to the states based on the allocation of total Commonwealth taxes on products.
21.82 Commonwealth subsidies are produced as total subsidies on production and imports. A global split of subsidies on products and other subsidies on production is derived by assuming the ratio of Commonwealth subsidies on products to subsidies on production and imports is the same across states.
21.83 The following tables outline how the Commonwealth taxes and subsidies on production and imports are classified on an annual basis and the indicator that is used to allocate them to the states. This allocation is not performed on quarterly data. While taxes on production and imports are disaggregated into taxes on products and other taxes on production, no attempt is made to derive a similar split for subsidies.
Tax | Type | Indicator |
---|---|---|
Sales tax (pre-2000) | Tax on products | Total HFCE |
GST (post-2000) | Tax on products | HFCE incurring GST |
Crude oil & petroleum products | Tax on products | HFCE Motor Vehicle Operations |
Excises on beer and potable spirits | Tax on products | HFCE Alcohol & Tobacco |
Excises on tobacco products | Tax on products | HFCE Alcohol & Tobacco |
Excises n.e.c. | Tax on products | Total state GVA |
Export, gambling & insurance taxes | Tax on products | Total state GVA |
Customs duties on imports | Tax on products | Imports of goods by state |
Agriculture taxes | Tax on products | GVA of the Agriculture, forestry & fishing industry |
Renewable energy certificates | Other tax on production | Data compiled by the Clean Energy Regulator |
Other miscellaneous | Other tax on production | Residual allocated to states in the state proportion of Commonwealth taxes on products (sum of above) |
Subsidy | Indicator |
---|---|
Fuel affairs and services n.e.c. | Historic splits of fuel subsidies relating to energy grants scheme from the ABS publication, Mining Operations, Australia– ceased |
Manufacturing | State total factor income for manufacturing |
Non-urban water transport services | Tasmanian Freight Equalisation Scheme (TFES) sourced from Centrelink |
Non-urban rail transport freight services | HFCE rail services consumed |
Non-urban rail transport passenger services | HFCE rail services consumed |
Vocational training | Unemployed Persons - Labour Force Survey |
Other labour and employment affairs | Unemployed Persons - Labour Force Survey |
Other economic affairs | Wholesale and retail industry total factor income |
Renewable energy certificates | Data compiled by the Clean Energy Regulator |
Residual | Allocated to states based on the state shares of the sum of the subsidies above |
State and local taxes and subsidies on production and imports
21.84 State and local taxes and subsidies are assumed to be levied or paid within state of jurisdiction and as such are directly allocated to that state. These are available on a quarterly basis from GFS data, but compilation for the state accounts only occurs annually.
21.85 The following table outlines how the State and local taxes are classified (i.e. a tax on products or other tax on production). No attempt is made to split subsidies into subsidies on products and other subsidies on production.
Tax | Type |
---|---|
Employers payroll taxes | Other tax on production |
Motor vehicle taxes | Other tax on production |
Land taxes | Other tax on production |
Municipal & metropolitan improvement rates | Other tax on production |
Other taxes | Other tax on production |
Taxes on financial & capital transactions | Tax on products |
Taxes on gambling | Tax on products |
Taxes on insurance | Tax on products |
Franchise taxes - gas products | Tax on products |
Franchise taxes - petroleum products | Tax on products |
Franchise taxes - tobacco products | Tax on products |
Franchise taxes - liquor products | Tax on products |
Franchise taxes - total franchise taxes | Tax on products |
Known components of expenditure - GSP(E)
Overview
21.86 Known components of GSP(E) are derived as the sum of final consumption expenditure, gross fixed capital formation and international exports of goods and services less international imports of goods and services (net international trade).
21.87 Known components of GSP(E) does not provide a complete measure of GSP as components such as interstate trade and change in inventories are missing. Despite this the known components of GSP(E) are used extensively to produce and analyse GSP. The process can be summarised as:
- produce the GSP(I/E) deflator;
- decompose and analyse the GSP(I/E) measure; and
- calculate the balancing item.
21.88 Calculation of GSP(I/E) and the balancing item are described in more detail in following sections.
21.89 Known components of GSP(E) are defined as:
Household final consumption expenditure (HFCE) | |
+ Government final consumption expenditure (GFCE) | |
+ Gross fixed capital formation (GFCF) | |
= State final demand | |
+ International exports of goods and services (X) | |
– International imports of goods and services (M) |
21.90 The known components of GSP(E) can be summarised as State final demand and net international trade.
State final demand
21.91 State final demand is the aggregate level of final consumption expenditure and gross fixed capital formation within a state over a specified period of time. SFD is defined as the final use of goods and services within a given period by households, government and businesses; that is:
Household final consumption expenditure (HFCE) | |
+ Government final consumption expenditure (GFCE) | |
+ Gross fixed capital formation (GFCF) |
21.92 In simple terms, SFD is the sum of private and public consumption and investment within a state.
21.93 SFD is a measure of demand in a state economy. Measures of state final demand make no distinction between demand that is met by goods and services produced within the state in question, or by supplies sourced from another state, or from overseas. State final demand is therefore not a measure of the value of production activity occurring within a state, and, as such, should not be used as proxy for Gross State Product.
21.94 Components of state final demand are compiled quarterly, and published in Australian National Accounts: National Income, Expenditure and Product.
21.95 Annual estimates are published in Australian National Accounts: State Accounts and are consistent with the sum of the four quarters, with slight differences due to timing. A brief summary of how each of these components are allocated to state are listed below.
21.96 Components that make up SFD are included below. The conceptual basis for allocation to state as well as data sources used for this purpose varies across components.
Household final consumption expenditure
21.97 HFCE is allocated by state using the primary residence of the purchaser using indicators from the publications, Retail and Wholesale Industries, Australia: Commodities, 2005-06 and the Household Expenditure Survey, Australia: Summary of Results.
21.98 On a quarterly basis, state components are sourced from the publications, Retail Trade, Australia and Business Indicators, Australia. A range of other administrative data are also used.
Government final consumption expenditure
21.99 GFCE is allocated to the state where the related activity and expenditure occurs. It is split between Commonwealth government and State and local (combined) government.
21.100 Commonwealth government operates across states. Where data is available, consumption items are allocated directly to the location in which consumption takes place, such as university expenditure, or expenditure through the Pharmaceutical Benefits Scheme (PBS). The remainder is allocated based on indicators, including estimated resident population, as well as defence and non-defence Commonwealth government employment.
21.101 It is assumed that state governments only undertake activity in their state. Similarly, local government activity is assumed to be only undertaken within the state to which the local government areas belong.
Gross fixed capital formation
Dwelling and non-dwelling construction
21.102 This includes dwelling and non-dwelling construction, both for the public and private sectors. Fixed physical capital is allocated directly to the state in which it resides.
21.103 Private sector estimates are sourced from the Building Activity Survey (BACS); Engineering Construction Survey (ECS); and the publication. Private New Capital Expenditure and Expected Expenditure, Australia. Public sector capital formation is sourced from Government Finance Statistics.
Machinery and equipment
21.104 Machinery and equipment is allocated to the state in which the equipment is based. This is sourced from the ABS publication, Private New Capital Expenditure and Expected Expenditure, Australia, as well as GFS data.
21.105 Very large items such as weapons systems and commercial aircraft are not allocated to a single state. These are for the protection of all Australian citizens and are allocated to states based on ERP shares. A similar treatment is used for civil aircraft.
Cultivated biological resources
21.106 Cultivated biological resources are allocated to state based on location of livestock and orchards. This is sourced from ABS' agricultural surveys and Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) data.
Intellectual property products
21.107 Intellectual property products include computer software, research and development, and mineral exploration as well as entertainment, literary and artistic originals. These are allocated to the states as follows:
- mineral exploration – is allocated to the state in which the exploration occurs and is sourced from the ABS publication, Mineral and Petroleum Exploration, Australia;
- research and development – is allocated to the location of the primary research institution using data from the publication, Research and Experimental Development, Businesses, Australia;
- computer software – is allocated based on primary location of purchase or production, largely based upon historic weights; and
- entertainment, literary and artistic originals – are allocated to state using estimated resident population.
International trade
21.108 International trade relates to imports and exports of goods and services of a state with a destination or source outside Australia. This is divided into merchandise goods trade, and services trade. In the state accounts, merchandise goods trade is produced annually and quarterly, and services trade is produced annually.
Trade in merchandise goods
21.109 Trade in merchandise goods measures goods that cross the Australian customs barrier. These are allocated to state based on the location of where the customs barrier is crossed. If the goods are transported to another state this is treated as an interstate re-export, which is included in the balancing item. In the national accounts, trade in goods is produced on a Balance of payments (BOP) basis which adjusts for goods which are not captured sufficiently in customs data.
International trade in services
21.110 International trade in services is collected as part of the ABS publication, International Trade in Services by Country, by State and by Detailed Services Category. State allocation is based on the state location of units sampled as part of this survey.
Household final consumption expenditure – sources and methods
21.111 Quarterly household final consumption is largely allocated to states using the top-down approach by using indicators and price deflators. It is compiled according to the COICOP classification. Dwelling rent is the main exception to this and is compiled using the bottom-up approach using data from Census of Population and Housing every five years. Adjustments for interstate and international household consumption are also made.
21.112 Annual estimates for all COICOP categories are produced as the sum of four quarters, with differences in annual and quarterly estimates due mostly to timing differences.
Dwelling rent
21.113 Imputed and actual rent of owner-occupiers are obtained by multiplying the stock of dwellings by the average rent paid by state. Splits between owner-occupied and imputed rent are estimated using data from the Census of Population and Housing. The stocks of dwellings and the rents paid for dwellings by state are obtained from the Population Census. Imputed rent paid for owner-occupied dwellings is calculated by matching average rents reported in the Population Census for detailed level of region and housing type and multiplying this by numbers of owner-occupied dwellings.
21.114 For inter-censal and post-Census periods, the dwelling stock is moved forward using the number of dwelling unit completions by state from Building Activity, Australia. This is then modified by a factor to take account of other changes to the stock of dwellings. Values for average rent paid is updated using data from the Consumer Price Index (CPI) for privately-owned dwelling rents modified by a factor for undercoverage. This methodology is undertaken quarterly with annual estimates produced by summing quarterly estimates.
Changes made to average rent paid
From 04/03/2024 values for average rent paid is updated using the Consumer Price Index (CPI) only. Previously this was updated using data from Housing Occupancy and Costs: industry reports from Australian Property Monitors, the Real Estate Institute of Australia and the CPI. Paragraph 21.114.
Paragraph 21.114 prior to 04/03/2024 update
Adjustments for interstate and international household consumption
21.115 Household consumption undertaken overseas or interstate by state residents is added to total HFCE. Consumption by non-state residents (international and interstate) are removed from total state HFCE. This is to ensure that HFCE is representative of state resident household consumption. This is estimated in two parts, using net visitor numbers for interstate as well as international trade in services estimates:
- International net expenditure is split to states using data from the ABS publication, International Trade in Goods and Services, Australia; and
- Interstate net expenditure is based on net interstate visitor day and night estimates which are produced by Tourism Research Australia (TRA). This is combined with average day and night rates of expenditure to produce a value.
21.116 Both these adjustments are undertaken quarterly with annual estimates produced by summing quarterly estimates.
Quarterly Indicator series, intermittent benchmarks, and volume deflators.
21.117 The table below lists the three elements required to produce state indicators for HFCE.
COICOP category | Quarterly indicator series | Intermittent benchmark | Deflator | |
---|---|---|---|---|
Food and non-alcoholic beverages | ||||
Retail Trade, Australia | Retail and Wholesale Industries, Australia: Commodities, 2005-06 | Weighted average of components from the CPI Food and non-alcoholic Beverages group. | ||
Alcoholic beverages | ||||
Liquor retailers | ||||
Retail Trade, Australia | Retail and Wholesale Industries, Australia: Commodities, 2005-06 | Weighted average of components from the CPI Alcoholic beverages sub-group. | ||
Other liquor | ||||
Business Indicators, Australia | Retail and Wholesale Industries, Australia: Commodities, 2005-06 | Weighted average of components from the CPI Alcoholic beverages sub-group. | ||
Cigarettes and Tobacco | ||||
Business Indicators, Australia and imports from International Trade in Goods and Services, Australia | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | CPI for Tobacco. | ||
Clothing and footwear | ||||
Retail Trade, Australia | Retail and Wholesale Industries, Australia: Commodities, 2005-06 (cat. no. 8624.0) | Weighted average of components from the CPI Clothing and footwear group. | ||
Electricity, gas and other fuels | ||||
Electricity and gas from revenue information from major retail suppliers in each state. | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | Electricity, gas and other fuels revalued using relevant components of the CPI Utilities sub-group. | ||
Furnishings and household equipment | ||||
Retail Trade, Australia | Retail and Wholesale Industries, Australia: Commodities, 2005-06 | Weighted CPI for Furniture and household equipment | ||
Health | ||||
Medicines, medical aids and therapeutic appliances | ||||
Retail Trade, Australia - Medical aids and therapeutic appliances GFS for Pharmaceutical Benefits Scheme | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | CPI for Pharmaceutical products. | ||
Hospital, ambulance services and nursing home care | ||||
Department of Health (DoH) and Private Health Insurance Administration Council (PHIAC) | n.a. | CPI Health group | ||
Housing, water, electricity, gas and other fuels | ||||
Imputed and actual rentals for housing | ||||
See paragraph 21.93 | See details above | Quantity revaluation | ||
Other services related to the dwelling | ||||
Estimated resident population | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | CPI for Water and sewerage | ||
Purchase of vehicles | ||||
Federal Chamber of Automotive Industries' VFACTS | n.a. | CPI for Motor vehicles. | ||
Operation of Vehicles | ||||
Fuel | ||||
Australian Petroleum Statistics, published by the Bureau of Resource and Energy Economics (BREE) | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | CPI on Automotive fuel. | ||
All other motoring goods | ||||
Australian Petroleum Statistics, published by the Bureau of Resource and Energy Economics (BREE) | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | CPI Private motoring sub-group. | ||
Transport | ||||
Public road and rail and water transport | ||||
GFS data from public transport authorities | n.a. | Weighted CPI for Rail, water and road transport | ||
Air transport | ||||
Revenue data provided by the major airlines. | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | CPI for Air transport | ||
Communication | ||||
Postal Services | ||||
Data from Australia Post | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | Quantity revalued using Australia Post data | ||
Telecommunication services | ||||
Revenue data obtained from the major service providers | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | CPI for Telecommunication equipment and services. | ||
Recreation and Culture | ||||
Audio visual, photographic and data processing equipment and accessories | ||||
Retail Trade, Australia | Retail and Wholesale Industries, Australia: Commodities, 2005-06 | CPI Audio, visual and computing equipment and services sub-group | ||
Recreational items and equipment | ||||
Retail Trade, Australia | Retail and Wholesale Industries, Australia: Commodities, 2005-06 | Weighted components for CPI | ||
Sporting and recreational services | ||||
Estimated resident population | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | CPI for Sports participation | ||
Cultural and entertainment services | ||||
Retail Trade, Australia | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | CPI Recreation and culture group | ||
Gambling | ||||
GFS taxes on gambling | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | All groups CPI (excluding medical and hospital services) | ||
Education | ||||
Tertiary education | ||||
Receipts from the Higher Education Contribution Scheme (HECS) | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | CPI for Education | ||
Post-secondary education | ||||
Estimated resident population | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | CPI for Education< | ||
Primary, secondary education and preschool | ||||
Estimated resident population | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | CPI for Education | ||
Hotels, catering and restaurants | ||||
Catering | ||||
Retail Trade, Australia and Business Indicators, Australia | Retail and Wholesale Industries, Australia: Commodities, 2005-06 | Components from the CPI | ||
Accommodation | ||||
Tourist Accommodation, Australia | n.a. | CPI for Domestic holiday travel and accommodation. | ||
Miscellaneous goods and services | ||||
Personal care | ||||
Retail Trade, Australia and Business Indicators, Australia | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | CPI Furnishings, household equipment and services group | ||
Personal effects | ||||
Retail Trade, Australia | Retail and Wholesale Industries, Australia: Commodities, 2005-06 | Relevant components from the CPI | ||
Finance and Insurance | ||||
Insurance | ||||
Estimated resident population | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | Motor vehicle insurance CPI, Wage Price Index (LPI) for workers compensation and CPI all groups for all other. | ||
Finance | ||||
Estimated resident population | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | All groups CPI | ||
Other Services | ||||
Personal outlays on miscellaneous services | ||||
Estimated resident population | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | Relevant components of the CPI and Wage Price Index (LPI) | ||
NPISH | ||||
Estimated resident population | Household Expenditure Survey, Australia: Summary of Results, 2009-10 | Relevant components of the CPI and Wage Price Index (LPI) |
Government final consumption expenditure– sources and methods
21.118 Estimates of GFCE are disaggregated into Commonwealth government and State and local government.
21.119 National government final consumption includes government agencies and jointly administrated universities. National GFCE is disaggregated into defence and non-defence.
21.120 Jurisdictional reporting matches regional boundaries for State and local governments. Therefore, State and local GFCE estimates are compiled using the bottom-up approach. Estimates in the quarterly and annual state accounts are consistent with data published in the GFS, with the exception of timing and some conceptual differences.
21.121 The table below outlines the data sources and methods used in the estimation of quarterly GFCE by level of government. They include both the current price estimates and volume estimates.
21.122 Annual estimates are produced as the sum of quarters with differences due to timing. For GFS estimates this can be significant due to inclusion of audited GFS data from Government Finance Statistics, Australia. This occurs for the state accounts, and also for Australian National Accounts: National Income, Expenditure and Product.
Item | Comment | ||
---|---|---|---|
National defence | |||
Current price estimates | |||
Government Finance Statistics is the primary data source, which in turn is based on data from the Department of Finance. The data obtained are for the expenditures on defence employees (i.e. wages and salaries and employer social contributions) and on other defence inputs (i.e. operating expenses such as rent, electricity, stationery, etc.) plus details of the value of sales of goods and services. The estimate for government expenditure on Financial Intermediation Services Indirectly Measured (FISIM) is included as part of the costs (i.e. intermediate consumption) of general government. Consumption of fixed capital is used in place of the depreciation recorded in government accounts. Consumption of fixed capital is the preferred conceptual measure as it is compiled on a current replacement cost basis rather than the historical cost basis used to compute depreciation allowances. It is obtained from the Perpetual Inventory Method (PIM). There are no state splits of data from GFS, with data split to states using posting location of defence employees. This is sourced from the Department of Defence. | |||
Volume estimates | |||
Defence employee costs are deflated using the Wage Price Index and defence materials are deflated using the Producer Price Indexes. | |||
National non-defence | |||
Universities | |||
Current price estimates | |||
Data for universities are collected from a sample of approximately 22 public universities or just over 50 per cent of the population. This provides enough detail to allow state estimates to be produced. | |||
Volume estimates | |||
Estimates for universities are derived by quantity revaluation using the estimated growth in the number of students in each state. For quarterly estimates this is based on trend as there is no quarterly data. | |||
Pharmaceuticals | |||
Current price estimates | |||
Pharmaceutical benefit scheme expenditure by state is produced by the Commonwealth Department of Health and Aged Care. This is based upon pharmacy location of subsidised medicines. | |||
Volume estimates | |||
Volume estimates for pharmaceuticals are price deflated using the CPI data for expenditure on pharmaceuticals. | |||
Medicare | |||
Current price estimates | |||
Medicare data is allocated to state using Commonwealth employment detail from Employment and Earnings, Public Sector. | |||
Volume estimates | |||
Medicare estimates are quantity revalued at state level using the estimated growth in medical services (from Medicare and hospital services data). | |||
Other | |||
Current price estimates | |||
Government Finance Statistics is the primary data source, which in turn is based on data from the Department of Finance. The data obtained are for the expenditures by Commonwealth agencies other than those in the Defence portfolio and by public universities on employees (i.e. wages and salaries and employer social contributions) and on other inputs (i.e. operating expenses such as rent, electricity, stationery, etc.) plus details of the value of sales of goods and services. The estimate for government expenditure on Financial Intermediation Services Indirectly Measured (FISIM) is included as part of the costs (i.e. intermediate consumption) of general government. Consumption of fixed capital is used in place of the depreciation recorded in government accounts. Consumption of fixed capital is the preferred conceptual measure as it is compiled on a current replacement cost basis rather than the historical cost basis used to compute depreciation allowances. It is obtained from the Perpetual Inventory Method (PIM). | |||
Volume estimates | |||
All other national non-defence estimates are price deflated using an index compiled using components of the Consumer Price Index, Wage Price Index and Producer Price Indexes. | |||
State and local | |||
Current price estimates | |||
Current price estimates are sourced from GFS data. Data are provided according to the following components:
| |||
Volume estimates | |||
Health | |||
Health estimates are quantity revalued using the estimated growth in medical services. Quarterly estimates are trended as data is only available annually. | |||
Education | |||
Education estimates are quantity revalued using the estimated growth in the number of students by state. | |||
Redundancies | |||
Redundancy payments for health are quantity revalued using the estimated growth in medical services. Quarterly estimates are trended as data is only available annually. Redundancy payments for education are quantity revalued using the estimated growth in the number of students by state. The remainder is price deflated as below using components of the Consumer Price Index, Wage Price Index and Producer Price Indexes. | |||
Superannuation | |||
Superannuation estimates are price deflated using indexes compiled from the Wage Price Index. | |||
All other | |||
All other State and local government estimates are price deflated using an index compiled using components of the Consumer Price Index, Wage Price Index and Producer Price Indexes. |
Gross fixed capital formation – Sources and methods
Dwellings
21.123 Gross fixed capital formation (GFCF) for dwellings consists of the value of acquisitions of new and existing (used) dwellings less the value of disposals of existing dwellings. State estimates are derived using the top-down approach.
21.124 The following table outlines the quarterly data sources used to estimate gross fixed capital formation for dwelling construction. Annual estimates are compiled as the sum of quarterly estimates, with differences between quarterly and annual estimates due to timing.
Item | Comment | ||
---|---|---|---|
New and used dwellings | |||
Current price estimates | |||
Private | |||
|
State splits for new and used dwellings are constructed using new residential building data from the Building Activity Survey. |
||
Public | |||
|
State level estimates are constructed by allocating GFS data for each state to the relevant state. Estimates for the Commonwealth jurisdiction are allocated using a proportion based on public employment from the Survey of Employment and Earnings (SEE). |
||
Volume estimates | |||
|
Total public and private sector new and used dwellings are deflated using Residential Property Price Indexes, Eight Capital Cities. State indexes are derived as a weighted average of a price index for contract-built houses and non-contract-built houses. |
||
Alterations and Additions | |||
Current price estimates | |||
|
Alterations and additions to existing dwellings are estimated using data from the regular Building Activity Survey and from the periodic Household Expenditure Survey (HES). State estimates are constructed using Alterations and additions to residential buildings from BACS, this excludes estimates under $10,000. These are modelled based on data from the HES. Between HES years the under $10,000 component is assumed to move in the same proportion as items from the BACS survey. |
||
Volume estimates | |||
|
Current price estimates are deflated by applying a two quarter ending moving average of the project home price index from Residential Property Price Indexes, Eight Capital Cities. |
Private non-dwelling construction
21.125 Non-dwelling construction at the state level comprises of three components: new building, new engineering construction and net purchases of second-hand assets. State estimates are derived using the top-down approach using data from BACS, ECS and GFS for second-hand assets.
21.126 The following table outlines the quarterly data sources used to estimate gross fixed capital formation for private non-dwelling construction. Annual estimates are compiled as the sum of quarterly estimates, with differences between quarterly and annual estimates due to timing.
Item | Comment | |
---|---|---|
New non-dwelling buildings | ||
Current price estimates | ||
|
The main source is the quarterly Building Activity Survey. This survey covers work done on private sector owned non-residential building valued at $50,000 or more. The following adjustments are made at the state level:
|
|
Volume estimates | ||
|
State-specific price indexes are derived as a three-quarter ending moving average of new building price indexes. |
|
New engineering construction | ||
Current price estimates | ||
|
The main source is the Engineering Construction Survey. As farm non-dwelling construction is not included in the ECS, adjustments are made to capital formation to estimate expenditure of farm non-dwelling construction. |
|
Volume estimates | ||
|
Current price estimates are deflated using a composite of price indexes for roads, dams, sewerage, electricity infrastructure and telecommunications infrastructure. For all but road construction, these price indexes are derived for Australia only. The price indexes used are from the Producer Price Indexes, Australia, Wage Price Index, Australia and the Consumer Price Index, Australia. |
|
Net purchases of second-hand assets | ||
Current price estimates | ||
|
The estimates from both the BACS and the ECS are adjusted to reflect net purchases of second-hand assets from the public sector by using Government Finance Statistics data. |
|
Volume estimates | ||
|
Current price estimates are deflated for each state using the state-specific implicit price deflator for the aggregate of private new non-dwelling building and new engineering construction. |
Machinery and equipment
21.127 Gross fixed capital formation (GFCF) in machinery and equipment is recorded as the value of the acquisitions of new and existing machinery and equipment, less the value of the disposals of existing machinery and equipment.
21.128 At state level private gross fixed capital formation of machinery and equipment is published with two sub-components: new machinery and equipment and net purchases of second-hand assets.
21.129 The following table outlines the quarterly data sources used to estimate gross fixed capital formation for machinery and equipment. Annual estimates are produced as the sum of four quarters, with differences in annual and quarterly estimates due mostly to timing differences.
Item | Comment | |
---|---|---|
New machinery and equipment | ||
Current price estimates | ||
|
State splits are sourced from Survey of New Capital Expenditure (Private New Capital Expenditure and Expected Expenditure, Australia). This survey excludes a number of industries for which adjustment are made including:
|
|
Volume estimates | ||
|
Current price estimates of GFCF for new machinery and equipment are deflated using state-specific chain price indexes derived from the Consumer Price Index, Australia; Producer Price Indexes, Australia; International Trade Price Indexes, Australia; and several price indexes from overseas, including the US Bureau of Economic Analysis (BEA) hedonic computer price index. |
|
Net purchases of second-hand equipment | ||
Current price estimates | ||
|
Net purchase of second-hand assets includes:
|
|
Volume estimates | ||
|
Current price estimates of GFCF for net purchases of second-hand machinery and equipment are deflated using state-specific chain price indexes derived from the Consumer Price Index, Australia; Producer Price Indexes, Australia; International Trade Price Indexes, Australia; and several price indexes from overseas, including the BEA hedonic computer price index. |
Intellectual property products
21.130 Gross fixed capital formation (GFCF) of research and development (R&D) is allocated to the state in which the research work occurs.
21.131 Mineral and petroleum exploration is the value of expenditure on exploration for mineral and petroleum undertaken in each state. Exploration expenditure covers all exploration activity undertaken on land and in state territorial waters, with offshore exploration in Commonwealth waters allocated to closest state of proximity.
21.132 The following table outlines the quarterly data sources used to estimate gross fixed capital formation for intellectual property products. All items with the exception of mineral and petroleum exploration are compiled annually with interpolation used to create quarterly estimates.
Item | Comment | |
---|---|---|
Research and development | ||
Current price estimates | ||
|
Interpolation of annual estimates. |
|
Volume estimates | ||
|
The volume of capital expenditure on R&D is calculated by deflating the cost-based expenditure values. These current price estimates are deflated using price indexes for labour inputs and other current expenditure used as inputs into the R&D products. This is undertaken at state level. Quarterly estimates for state, like national, are calculated using trend. |
|
Mineral and petroleum exploration | ||
Current price estimates | ||
|
Quarterly estimates are obtained from Mineral and Petroleum Exploration, Australia. |
|
Volume estimates | ||
|
Current price estimates are deflated using a composite index of the Wage Price Index for ANZSIC Division B Mining Division and a producer price index for equipment and material categories associated with exploration—steel pipes and tubes, non-ferrous pipe fittings, iron and steel casting and forging, and other industrial machinery. |
|
Computer software | ||
Current price estimates | ||
|
Interpolation of annual estimates. |
|
Volume estimates | ||
|
Volume estimates are produced by deflating current prices estimates with the Manufacturing Industry (APMI) price index. |
|
Entertainment, literary and artistic originals | ||
Current price estimates | ||
|
Interpolation of annual estimates. |
|
Volume estimates | ||
|
Volume estimates are produced by deflating current prices estimates using a combination of data from Producer Price Indexes, Australia; Consumer Price Index, Australia and the historic publication, Price Indexes of Articles Produced by Manufacturing Industry, Australia (this publication has been ceased but data from it still underpins estimates). |
21.133 The following table outlines the annual data sources used to estimate gross fixed capital formation for intellectual property products.
Item | Comment | |
---|---|---|
Research and Development | ||
Current price estimates | ||
|
State estimates for both own account R&D expenditure and R&D undertaken on contract by other institutions are derived from the Survey of Research and Experimental Development published in Research and Experimental Development, Businesses, Australia; Research and Experimental Development, Government and Private Non-Profit Organisations, Australia; and Research and Experimental Development, Higher Education Organisations, Australia. |
|
Volume estimates | ||
|
The volume of capital expenditure on R&D is calculated by deflating the cost based expenditure values. These current price estimates are deflated using price indexes for labour inputs and other current expenditure used as inputs into the R&D products. This is undertaken at state level. Quarterly estimates for state, like national, are calculated using trend. |
|
Mineral and petroleum exploration | ||
Current price estimates | ||
|
The sum of quarterly estimates are obtained from Mineral and Petroleum Exploration, Australia. |
|
Volume estimates | ||
|
Current price estimates are deflated using a composite index of the Wage Price Index for ANZSIC Division B Mining and a producer price index for equipment and material categories associated with exploration—steel pipes and tubes, non-ferrous pipe fittings, iron and steel casting and forging, and other industrial machinery. |
|
Computer software | ||
Current price estimates | ||
|
State estimates are derived by allocating national estimates using fixed weight splits produced largely from historic surveys for in house software, as well as packaged software imports for the off-the-shelf component. |
|
Volume estimates | ||
|
Volume estimates are produced by deflating current prices estimates with the Manufacturing Industry (APMI) price index. |
|
Entertainment, literary and artistic originals | ||
Current price estimates | ||
|
State estimates of GFCF of entertainment, library and artistic originals are allocated from the national estimates using Estimated Resident Population. |
|
Volume estimates | ||
|
Volume estimates are produced by deflating current prices estimates using a combination of data from the publications, Producer Price Indexes, Australia; Consumer Price Index, Australia; and the historic publication, Price Indexes of Articles Produced by Manufacturing Industry, Australia (this publication has been ceased but data from it still underpins estimates). |
Ownership transfer costs
21.134 Ownership transfer costs at state level consist of the following components:
- fees paid to lawyers associated with the transfer of ownership;
- fees and commissions paid to real estate agents, auctioneers, architects, surveyors, engineers and valuers;
- stamp duty;
- titles Office charges; and
- local government charges.
21.135 The following table outlines the quarterly data sources used to estimate gross fixed capital formation for ownership transfer costs. Annual estimates are produced as the sum of four quarters, with differences in annual and quarterly estimates due mostly to timing differences.
Item | Comment | |
---|---|---|
Ownership transfer costs | ||
Current price estimates | ||
|
Stamp duty estimates are based on quarterly data from each State Titles Offices. These estimates are based on the number of Land Title Transfer transactions occurring in each state for the quarter, and local government charges are estimated from the number of transactions occurring in each quarter. Real estate agents' commissions and lawyers' fees are derived from movements in a composite indicator based on state data for the number and value of real estate transactions. Data on the number of transactions and average sale prices are obtained from State Titles Offices (land title transfers) and Valuers-General departments (average sale prices). |
|
Volume estimates | ||
|
Volume estimates for ownership transfer costs are derived by quantity revaluation at the state level, by multiplying the number of transactions by the average price in the previous year. |
Cultivated biological resources
21.136 Cultivated biological resources data are compiled by state for animal resources (livestock), as well as crop and plant resources yielding repeat products (orchard growth).
21.137 The following table outlines the quarterly data sources used to estimate gross fixed capital formation for cultivated biological resources. Annual estimates are produced as the sum of four quarters, with differences in annual and quarterly estimates due mostly to timing differences.
Item | Comment | |
---|---|---|
Livestock | ||
Current price estimates | ||
|
Livestock uses sheep and cattle numbers adjusted slaughtering and exports from Livestock Products, Australia at state level. Data on acquisition and disposal prices of other animals are calculated using the ABARES publication, Agriculture Commodities. Values for sheep and cattle are estimated by multiplying the number of animals by an average price per head. |
|
Volume estimates | ||
|
Quantity revalued using ABARES data on herd size. |
|
Orchard growth | ||
Current price estimates | ||
|
Orchard growth is estimated using number of trees and hectares of vines. These data are available annually from the ABS publication, Agricultural Commodities, Australia. The current price value is derived by applying average costs incurred in the planting and growing of orchards to this data. |
|
Volume estimates | ||
|
Quantity revalued using number of trees and hectares of vines data outlined above. |
Public corporations
21.138 Public corporations capital formation is split into Commonwealth, and State and local.
21.139 The following table outlines the quarterly data sources used to estimate gross fixed capital formation for public corporations. Annual estimates are produced as the sum of quarters with differences due to timing. For GFS estimates these timing differences can be significant due to inclusion of audited GFS data from Government Finance Statistics, Australia. These timing differences arise in the state accounts, and also in Australian National Accounts: National Income, Expenditure and Product.
Item | Comment | |
---|---|---|
Commonwealth | ||
Current price estimates | ||
|
Government Finance Statistics is the main source for Commonwealth Public Corporations GFCF. Intellectual property products estimates are constructed using external and internal data sources including Research and Experimental Development, Businesses, Australia. Commonwealth Public Corporations GFCF is allocated to states using estimated resident population data. Allowances are made to allocate significant identifiable projects to the states where they occur. |
|
Volume estimates | ||
|
Volume estimates are compiled from current price estimates using price deflation. Deflation is performed using composite deflators of various price indexes constructed using annual current price asset composition as weights. |
|
State and local | ||
Current price estimates | ||
|
Government Finance Statistics is the main source for State and local Public Corporations GFCF. Intellectual property products estimates are constructed using external and internal data sources including Research and Experimental Development, Businesses, Australia. |
|
Volume estimates | ||
|
The volume estimates are compiled from current price estimates using price deflation. Deflation is performed using composite deflators of various price indexes constructed using annual current price asset composition as weights |
General government
21.140 General government capital formation is allocated to Commonwealth and State and local government using data from GFS. Commonwealth is further separated into defence and non-defence.
21.141 The following table outlines the quarterly data sources used to estimate gross fixed capital formation for general government. Annual estimates are produced as the sum of quarters with differences due to timing. For GFS estimates these timing differences can be significant due to inclusion of audited GFS data from Government Finance Statistics, Australia. These timing differences arise in the state accounts, and also in Australian National Accounts: National Income, Expenditure and Product.
Item | Comment | |
---|---|---|
National defence | ||
Current price estimates | ||
|
Government Finance Statistics is the main source for Commonwealth Defence GFCF. Intellectual property products estimates are constructed using external and internal data sources including Research and Experimental Development, Government and Private Non-Profit Organisations. Commonwealth Defence GFCF for fixed assets and computer software are allocated to states using Commonwealth employment from the ABS publication, Employment and Earnings, Public Sector, Australia. Allowances are made to allocate significant identifiable projects to the states where they occur. Defence weapons systems, and Research and development are allocated using estimated resident population data. |
|
Volume estimates | ||
|
The volume estimates are compiled from current price estimates using price deflation. Deflation is performed using composite deflators of various price indexes constructed using annual current price asset composition as weights. |
|
National non-defence | ||
Current price estimates | ||
|
Government Finance Statistics is the main source for National Non-defence GFCF. Intellectual property products estimates are constructed using external and internal data sources including Research and Experimental Development, Government and Private Non-Profit Organisations. National non-defence GFCF is allocated to states using Commonwealth employment from the ABS publication, Employment and Earnings, Public Sector, Australia. Allowances are made to allocate significant identifiable projects to the states where they occur. |
|
Volume estimates | ||
|
The volume estimates are compiled from current price estimates using price deflation. Deflation is performed using composite deflators of various price indexes constructed using annual current price asset composition as the weights. |
|
State and local | ||
Current price estimates | ||
|
Government Finance Statistics is the main source for State and local GFCF. Intellectual property products estimates are constructed using external and internal data sources including Research and Experimental Development, Government and Private Non-Profit Organisations. |
|
Volume estimates | ||
|
The volume estimates are compiled from current price estimates using price deflation. Deflation is performed using composite deflators of various price indexes constructed using annual current price asset composition as weights. |
International trade in goods and services – sources and methods
21.142 International trade in merchandise goods are allocated to state based on the location at which the customs barrier is crossed.
21.143 Published state level merchandise goods trade is not consistent with trade estimates for the national accounts which is produced on a balance of payments (BOP) basis. The difference for each state is reconciled on a BOP basis, with the difference between state merchandise trade and state allocations on a BOP basis included as part of the balancing item.
Merchandise goods basis splits
21.144 The following tables outline the data sources and methods used to estimate international trade in goods and services:
Item | Comment |
---|---|
Annual current price estimates | |
Merchandise goods is consistent with ABS publication, International Trade, with BOP basis reconciliation values consistent with ABS publication Balance of Payments and International Investment Position, Australia. | |
Annual volume estimates | |
Annual state merchandise goods exports and imports for volume are consistent with ABS publication, International Trade, with related BOP basis reconciliation values consistent with ABS publication Balance of Payments and International Investment Position, Australia. |
Item | Comment |
---|---|
Current price estimates | |
Current price international trade in services data is allocated to state using data from International Trade in Services by Country, by State and by Detailed Services Category. These estimates are benchmarked to national estimates of international trade in services. | |
Volume estimates | |
|
Volume measures are obtained by deflation of the current price values, using relevant ABS price indexes underlying those published in: |
GSP(I/E) Measure
21.145 The GSP(I/E) is a derived income and expenditure measure used to overcome the inability to derive all components of the GSP(E) measure. This approach relies on the assumption that GSP(E) is equal to GSP(I).
21.146 The compilation of the GSP(I/E) measure involves a number of steps:
- Derive current price GSP(I);
- Assume GSP(I) equals GSP(E), and obtain current price GSP(I/E);
- Aggregate known components of GSP(E) (i.e. state final demand and international trade), for current price and volume estimates;
- Calculate adjustments to known components of GSP(I/E) for current price and volume estimates. These are largely modelled estimates which are added to ensure price deflators more accurately reflect state economies;
- Calculate volume and current price aggregates for adjusted known components of GSP(E). This involves adding adjustment calculated as part of step 4 to aggregate known components of GSP(E) in Step 3;
- Produce an implicit price deflator (IPD) using adjusted known components of GSP(E) created as part of Step 5;
- Apply the IPD (from Step 6) to the current price GSP(I/E) to derive GSP(I/E) in volume terms; and
- Create balancing item as a residual of GSP(I/E) and known components of GSP(E) for current price and volume components.
GSP(I/E) Current price
21.147 Current price GSP(I/E) is produced by assuming GSP(I) is equal to GSP(E) (which cannot currently be measured entirely using available data sources). This relies on the national accounts where for balanced supply-use years GDP(I) is equal to GDP(E). GSP(I) is then used to allocate GDP to states to produce current price GSP(I/E).
21.148 GSP(I/E) is benchmarked to the average of current price GDP(I) and GDP(E) for the current year and pre-supply-use years, wherein GDP(I) is not equal to GDP(E); that is:
- create Australia-level GDP(I/E):
\(\large GDP(I⁄E)= \frac{GDP(E)+GDP(I)}{2}\)
- benchmark the state income measure to the above GDP(I/E) measure:
\(\large GSP(I⁄E)= \frac{GSP(I)}{GDP(I)} ×GDP(I⁄E)\)
Known components of GSP(E)
21.149 Current price and volume known components of GSP(E) are aggregated as the sum of state final demand, net international merchandise trade in goods and net trade in services.
= state final demand | |
+ net international trade in merchandise goods (exports – imports) | |
+ net international trade in services (exports – imports) |
21.150 Four adjustments are made to known components of GSP(E) to produce adjusted known components of GSP(E):
- Net HFCE interstate;
- net BOP basis reconciliation to international merchandise goods trade (exports – imports);
- modelled net interstate trade in goods; and
- modelled interstate re-exports/imports.
21.151 Adjusted known components of GSP(E) is calculated as:
known components of GSP(E) | |
– net HFCE interstate | |
+ net BOP basis reconciliation to international merchandise goods trade | |
+ modelled net interstate trade in goods | |
+ modelled interstate re-exports/imports |
21.152 Sources and methods for calculating these components are described below. None of these items are published directly due to quality and confidentiality concerns with the data. Despite these concerns, removing these adjustments would adversely affect the quality of the GSP(I/E) price deflator. Calculation of the GSP(I/E) deflator is the main reason why these adjustments to known components of GSP(E) are applied.
Net interstate expenditure adjustment
21.153 A net interstate expenditure adjustment is made to HFCE to ensure that HFCE is representative of state resident household consumption. This adjustment is offset as part adjustments to known GSP(E) item as net interstate expenditure is representative of interstate trade, and hence should be reflected in the GSP(I/E) price deflator.
21.154 This treatment is similar to that in the national accounts, where consumption by international visitors is not included as part of HFCE. The value of this is then added to GSP as part of exports of services.
Balance of payments adjustments to international merchandise goods trade
21.155 Known components of GSP(E) include trade in goods on a merchandise trade basis rather than the more conceptually correct balance of payments basis. However, reconciliation to a BOP basis is made for each state. This reconciliation is made to known components of GSP(E) to ensure the balance of payments reconciliation is represented in the GSP(I/E) deflator.
Modelled net interstate trade in goods
21.156 Interstate trade in goods relate to interstate imports and exports of domestically produced goods. The value of interstate imports and exports of goods are sourced for Queensland from the ABS publication, Interstate Trade, Queensland (cat. no. 8502.3). For the remaining states, indicators of interstate exports and imports are derived using activity indicators to extrapolate historic estimates produced by the Monash University Centre of Policy Studies in 1987. This assumes that state relativities have not changed in this time.
Modelled interstate re-exports/imports
21.157 Interstate re-exports/imports occur when the state of final destination of international trade is different to the state in which goods cross the customs barrier. Similarly to interstate trade in goods, this estimate is produced by extrapolating historic estimates produced by the Monash University Centre of Policy Studies in 1987 using volume indicators of international trade.
Volume GSP(I/E)
21.158 A volume measure of GSP(I/E) is created by deflating current price GSP(I/E) with the GSP(I/E) deflator.
\(\large Volume \space GSP(I⁄E)= \frac{current \space price \space GSP(I/E)}{GSP(I/E)Deflator}\)
GSP(I/E) Deflator
21.159 A price deflator for GSP(I/E) is created using current price and volume estimates of adjusted known components GSP(E).
21.160 The GSP(I/E) implicit price deflator is calculated as:
\(\large GSP(I⁄E) IPD= \frac{current \space price \space Adjusted \space known \space components \space GSP(E)}{chain \space volume \space Adjusted \space known \space components \space GSP(E)}\)
The balancing item
21.161 The balancing item in state accounts has a slightly different meaning than the corresponding items in the national accounts. Balancing items in the ASNA are key macroeconomic indicators (see paragraph 3.32), whereas the same item is the difference between known components of GSP(E) and GSP(I/E) in the state accounts. It implicitly comprises total net interstate trade in goods and services; changes in inventories; and other miscellaneous components.
21.162 Other miscellaneous components of the balancing item are generally items that are not covered in GSP(E) known components, due to measurement or other issues. An example is BOP basis reconciliation values to merchandise trade which are included as part of the balancing item. There are other measurement issues at state level which cannot be identified.
21.163 The balancing item is calculated as follows for both current price and volume components:
\(\large Balancing\space item = GSP(I/E) – known \space components \space of \space GSP(E)\)
21.164 The balancing item is broken up further into identified and unidentified components. The identified components are estimated but are not published due to confidentiality or quality concerns.
Identified component
21.165 The identified component of the balancing item includes some items for which estimates are produced but are not of sufficient reliability to publish. The following are calculated as part of the adjustment to known components of GSP(E):
- net HFCE interstate;
- net BOP basis reconciliation to international merchandise goods trade;
- modelled net interstate goods trade; and
- modelled interstate re-exports/imports.
21.166 Additionally estimated are:
- changes in inventories; and
- balancing item discrepancy.
Changes in inventories
21.167 Changes in inventories are split using the top-down approach at an industry level to states based on state GVA for these industries. State splits of changes in inventories are only produced for analytical purposes and are not published.
Balancing item discrepancy
21.168 The balancing item discrepancy is the allocation of the national statistical discrepancy across the states. This ensures consistency between the sum of the states and Australia. It is allocated to states based upon state shares of GSP(I) for both current price and volume estimates.
Unidentified component
21.169 The unidentified component of the balancing item is calculated residually as follows:
Unidentified component | = Total balancing item |
– Identified components |
21.170 The unidentified component conceptually represents interstate trade in services, but it also embodies any remaining discrepancies that occur across state measures of expenditure and income due to underlying measurement issues.
Production approach of gross state product – GSP(P)
Overview
21.171 Production of gross state product (GSP(P)) is calculated in both current price values and chain volume measures as the sum of gross value added (GVA) and taxes less subsidies on products:
\(\large GSP(P)= gross \space value \space added+taxes \space on \space products-subsidies \space on \space products\)
21.172 Gross value added is defined as the output of goods and services produced less total intermediate use of the goods and services used in the creation of that output
\(\large Gross \space Value \space Added=Output-Total \space Intermediate \space Use\)
21.173 Estimates of GVA by state are compiled by industry at the ANZSIC division level.
21.174 Taxes and subsidies on products relate to those taxes and subsidies which are payable per unit of a good or service.
21.175 Taxes and subsidies on products relating to state and local governments are allocated directly to the state in which they are collected or paid.
21.176 Commonwealth taxes and subsidies are allocated to states and territories using a range of activity indicators, such as household final consumption expenditure.
Gross value added
21.177 Annual state by industry splits of GVA are produced using a top-down output indicator approach. National industry estimates of GVA are apportioned across states and territories using indicators of output. For each industry division, except Agriculture, Forestry and Fishing, the national ratio of output to intermediate use is assumed to be equal across states and territories.
Annual state by industry gross value added
21.178 Indicators of output are predominantly based on state by industry subdivision sales data from the Economic Activity Survey (EAS). Other data are used as indicators where they are more relevant or where EAS is not available.
21.179 The following tables provide additional detail on the method and data sources used to estimate GVA, in current price values and volumes.
Item | Comment | |
---|---|---|
Method | ||
|
State estimates of GVA by SUIC industry are calculated by apportioning national current price value (CPV) estimates of output across states and territories using relevant indicators. Total intermediate use (TIU) is calculated by holding the national ratio of output to TIU fixed across states and territories. GVA is derived as the difference between output and TIU. Industry division estimates are calculated as the sum of relevant SUIC industry estimates. \(\Large state \space output_{SUIC}= national \space output_{SUIC} \times \Big ( \frac{state \space output \space indicator_{SUIC}}{national \space output \space indicator_{SUIC} }\Big)\) \(\Large state \space TIU_{SUIC}=state \space output_{SUIC} ×\Big(\frac{ national \space TIU_{SUIC}}{national \space output_{SUIC} } \Big)\) \(\Large state\space GVA_{SUIC}=state \space output_{SUIC}-state \space TIU_{SUIC}\) \(\Large state \space GVA_{industry \space division}=\sum \limits_{SUIC}(state \space GVA_{SUIC} ) \) Estimates in current prices are deflated using national level price indices, and chained, to produce chain volume measures of output, TIU and GVA. |
|
Output indicator | ||
Current year | ||
|
Sales data from the Quarterly Business Indicators Survey (QBIS) is used to extrapolate forward EAS sales data. Those extrapolated values are then used to apportion national output across states and territories. |
|
2006-07 to reference year | ||
|
Sales data from the Economic Activity Survey (EAS) is used to apportion national output across states and territories. |
|
Prior to 2006-07 | ||
|
QBIS sales data is used to backcast EAS sales data from 2006-07. Those backcasted values are then used to apportion national output across states and territories. |
|
Deflation | ||
2001-02 to current year | ||
|
National price indices by SUIC industry are used to deflate estimates of output by industry and state. The price indices used are the same as those used to derive volume estimates in QBIS. |
|
Prior to 2001-02 | ||
Current price values and volume estimates | ||
|
For values prior to 2001-02, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those estimates are used to backcast the output indicators from 2001-02 (for both current price values and chain volume measures). Those backcasted values are then used to apportion national output across states and territories. |
Item | Comment | |
---|---|---|
Method | ||
|
State estimates of output and intermediate use by SUIC industry are calculated by apportioning national current price value (CPV) estimates of output across states and territories using product level indicators. GVA is derived as the difference between output and TIU. Industry division estimates are calculated as the sum of relevant SUIC industry estimates. \(\Large state \space output_{SUIC}= national \space output_{SUIC} × \sum \limits _{Product} \frac{\space state \space output \space indicator_{product}}{national \space output \space indicator_{product} }\) \(\Large state \space TIU_{SUIC}= national \space TIU_{SUIC} × \sum \limits _{Product} \frac{\space state \space output \space indicator_{product}}{national \space output \space indicator_{product} }\) \(\Large state \space GVA_{SUIC}=state \space output_{SUIC}-state \space TIU_{SUIC}\) \(\Large state \space GVA_{subdivision01}=\sum \limits_{SUIC}(state \space GVA_{SUIC} ) \) Agricultural output at state level is compiled for the following products:
Volume estimates of output are calculated by quantity revaluing CPV estimates using the quantity of output. Selected products of intermediate use are calculated by quantity revaluing CPV estimates. Other selected products are price deflated using mainly producer price indexes. State estimates of quantity by product are calculated using the same top-down approach as for the CPV estimates. The resulting volume series are chained, to produce chain volume measures of output, TIU and GVA. |
|
Output indicator - Current price value and volume estimates | ||
Current year | ||
|
Latest year estimates are produced using output indicators derived from the Agricultural Commodities report published by Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES). |
|
2001-02 to reference year | ||
|
Detailed commodity data is available from Value of Agricultural Commodities Produced, Australia |
|
Intermediate use indicator – Current price value and volume estimates | ||
Current year | ||
|
Latest year estimates are produced using output indicators derived from the Agricultural Commodities report published by Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES). |
|
Prior to current year | ||
|
Marketing costs are derived from Value of Agricultural Commodities Produced, Australia. Costs are compiled at a product level. To derive volume estimates, marketing costs are quantity revalued using output quantity indicators. Seed costs indicator is derived from ABARES data on agricultural commodity sowing areas as the indicator. Fodder costs are derived using livestock output as the indicator. To derive volume indicators, manufactured fodder is deflated using relevant national prices indexes from the Producer price Indexes. Hay is quantity revalued using data from Value of Agricultural Commodities Produced. Other input costs such as chemicals, electricity, fuel and maintenance are apportioned across states using ABARES data. Volume estimates for fertiliser is derived using a national deflator which is derived by revaluing national fertiliser costs. For other input costs, current price value estimates are deflated using the relevant national level component price indices published in the Agricultural Commodities report by ABARES. |
Item | Comment | |
---|---|---|
Method | ||
|
State estimates of output and intermediate use by SUIC industry are calculated by apportioning national current price value (CPV) estimates of output across states and territories using product level indicators. GVA is derived as the difference between output and TIU. Industry division estimates are calculated as the sum of relevant SUIC industry estimates. \(\Large state \space output_{SUIC}= national \space output_{SUIC} × \sum \limits_{Product} \frac{\space state \space output \space indicator_{product}}{national \space output \space indicator_{product} }\) \(\Large state \space TIU_{SUIC}= national \space TIU_{SUIC} × \sum \limits _{Product} \frac{\space state \space output \space indicator_{product}}{national \space output \space indicator_{product} }\) \(\Large state \space GVA_{SUIC}=state \space output_{SUIC}-state \space TIU_{SUIC}\) \(\Large state \space GVA_{subdivision02-05}=\sum \limits _{SUIC}(state \space GVA_{SUIC} ) \) Volume estimates of output are calculated by quantity revaluing CPV estimates using the quantity of output. Volume estimates of intermediate use is apportioned across states using proportions of intermediate use volumes derived by deflating current price values using output prices. State estimates of quantity by product are calculated using the same top-down approach as for the CPV estimates. The resulting volume series are chained, to produce chain volume measures of output, TIU and GVA. |
|
Output indicator - Current price value and volume estimates | ||
Series span | ||
Forestry and logging | ||
Current price values of output are estimated based on the production values of softwood and hardwood sourced from ABARES. Volume estimates are derived by quantity revaluing the current price value of output, using production quantities of softwood and hardwood sourced from ABARES | ||
Fishing and aquaculture | ||
The value of commodities including prawns, lobster, abalone, scallops, oyster, tuna, other fish by state are sourced from ABARES data. Volume estimates are derived by quantity revaluing the current price value of output, using quantity date from ABARES, including aquaculture output. | ||
Intermediate use indicator – Current price value and volume estimates | ||
Series span | Agricultural, Forestry and Fishing Support Services output is the indicator for intermediate use in current price and volume estimates. |
Item | Comment | |
---|---|---|
Method | ||
|
Subdivisions 06, 07, 08 and 09: State estimates of GVA by SUIC industry are calculated by apportioning national current price value (CPV) estimates of output across states and territories using commodity level indicators. Total intermediate use (TIU) is calculated by holding the national ratio of output to TIU fixed across states and territories. GVA is derived as the difference between output and TIU. ANZSIC division estimates are calculated as the sum of relevant SUIC industry estimates. \(\Large state \space output_{SUIC}= national \space output_{SUIC} × \sum \limits _{commodity} \frac{ state \space output \space indicator_{Commodity}}{national \space output \space indicator_{Commodity}}\) \(\Large state \space TIU_{SUIC}=state \space output_{SUIC} × \Big( \frac{national \space TIU_{SUIC}}{national \space output_{SUIC} } \Big)\) \(\Large state \space GVA_{SUIC}=state \space output_{SUIC}-state \space TIU_{SUIC}\) \(\Large state \space GVA_{DivB}=\sum \limits _{SUIC}(state \space GVA_{SUIC} ) \) Volume estimates of output are calculated by quantity revaluing CPV estimates using the quantity of output by commodity. State estimates of quantity by commodity are calculated using the same top-down approach as for the CPV estimates. The resulting volume series are chained, to produce chain volume measures of output, TIU and GVA. Subdivision 10: Compiled using the same method as the majority of industry divisions (as listed in an earlier table). |
|
Output indicator | ||
Subdivisions 06-09 | ||
2001-02 to current year | ||
|
Mining commodities data collected from state and territory government is used to apportion national value and quantity estimates across states and territories. |
|
Subdivision 10 | ||
Current year | ||
|
Sales data from the Quarterly Business Indicators Survey (QBIS) is used to extrapolate forward EAS sales data. Those extrapolated values are then used to apportion national output across states and territories. |
|
2006-07 to reference year | ||
|
Sales data from the Economic Activity Survey (EAS) is used to apportion national output across states and territories. |
|
Prior to 2006-07 | ||
|
QBIS sales data is used to backcast EAS data from 2006-07. Those backcasted values are then used to apportion national output across states and territories. |
|
Deflation (subdivision 10) | ||
2001-02 to current year | ||
|
National price indices for subdivision 10 are used to deflate CPV estimates of state output. |
|
Prior to 2001-02 | ||
Current price value and volume estimates | ||
|
For values prior to 2001-02, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those estimates are used to backcast the output indicators from 2001-02 (for both current price values and chain volume measures). The backcasted values are then used to apportion national output across states and territories. |
Item | Comment | |
---|---|---|
Method | ||
|
State estimates of GVA by SUIC industry are calculated by apportioning national current price value (CPV) estimates of output across states and territories using relevant indicators. Total intermediate use (TIU) is calculated by holding the national ratio of output to TIU fixed across states and territories. GVA is derived as the difference between output and TIU. ANZSIC division estimates are calculated as the sum of relevant SUIC industry estimates. \(\Large state \space output_{SUIC}= national \space output_{SUIC} × \Big( \frac{ state \space output \space indicator_{SUIC}}{national \space output \space indicator_{SUIC}} \Big)\) \(\Large state \space TIU_{SUIC}=state \space output_{SUIC} × \Big( \frac{national \space TIU_{SUIC}}{national \space output_{SUIC} } \Big)\) \(\Large state \space GVA_{SUIC}=state \space output_{SUIC}-state \space TIU_{SUIC}\) \(\Large state \space GVA_{DivD}=\sum \limits _{SUIC}(state \space GVA_{SUIC} ) \) CPV estimates are deflated using national level price indices, and chained, to produce chain volume measures of output, TIU and GVA. |
|
Output indicator | ||
Current year | ||
|
Sales data from the Quarterly Business Indicators Survey (QBIS), in conjunction with sales data for the public non-financial corporation sector sourced from Government Finance Statistics (GFS), is used to extrapolate forward EAS sales data. Those extrapolated values are then used to apportion national output across states and territories. |
|
2006-07 to reference year | ||
|
Sales data from the Economic Activity Survey (EAS) in conjunction with sales data for the general government sector sourced from GFS (for subdivisions 28 and 29), is used to apportion national output across states and territories. |
|
Prior to 2006-07 | ||
|
QBIS and GFS sales data is used to backcast EAS data from 2006-07. Those backcasted values are then used to apportion national output across states and territories. |
|
Deflation | ||
2001-02 to current year | ||
|
National price indices by SUIC industry are used to deflate CPV estimates of state output. The price indices used are the same as those used to derive volume estimates in QBIS. |
|
Prior to 2001-02 | ||
Current price values and volume estimates | ||
|
For values prior to 2001-02, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those estimates are used to backcast the output indicators from 2001-02 (for both current price values and chain volume measures). Those backcasted values are then used to apportion national output across states and territories. |
Item | Comment | |
---|---|---|
Method | ||
|
State estimates of GVA by SUIC industry are calculated by apportioning national current price value (CPV) estimates of output across states and territories using relevant indicators. Total intermediate use (TIU) is calculated by holding the national ratio of output to TIU fixed across states and territories. GVA is derived as the difference between output and TIU. ANZSIC division estimates are calculated as the sum of relevant SUIC industry estimates. \(\Large state \space output_{SUIC}= national \space output_{SUIC} × \Big( \frac{ state \space output \space indicator_{SUIC}}{national \space output \space indicator_{SUIC}} \Big)\) \(\Large state \space TIU_{SUIC}=state \space output_{SUIC} × \Big( \frac{national \space TIU_{SUIC}}{national \space output_{SUIC} } \Big)\) \(\Large state \space GVA_{SUIC}=state \space output_{SUIC}-state \space TIU_{SUIC}\) \(\Large state \space GVA_{DivE}=\sum \limits_{SUIC}(state \space GVA_{SUIC} ) \) CPV estimates are deflated using state and national level price indices, and chained, to produce chain volume measures of output, TIU and GVA. |
|
Output indicator | ||
Subdivisions 30 and 31 | ||
Series span | ||
|
Quarterly estimates of gross fixed capital formation, that are conceptually aligned to the subdivisions, are annualised, and aggregated, then used to apportion national output across states and territories. |
|
Subdivision 32 | ||
Current year | ||
|
Sales data from the Quarterly Business Indicators Survey (QBIS) is used to extrapolate forward EAS sales data. Those extrapolated values are then used to apportion national output across states and territories. |
|
2006-07 to reference year | ||
|
Sales data from the Economic Activity Survey (EAS) is used to apportion national output across states and territories. |
|
2001-02 to 2005-06 | ||
|
QBIS sales data is used to backcast EAS data from 2006-07. Those backcasted values are then used to apportion national output across states and territories. |
|
Prior to 2001-02 | ||
|
For values prior to 2001-02, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those estimates are used to backcast the output indicators from 2001-02 (for both current price values and chain volume measures). Those backcasted values are then used to apportion national output across states and territories. |
|
Deflation | ||
Subdivisions 30 and 31 | ||
|
State and territory construction price information is used to deflate CPV estimates of state output through the entire time series. |
|
Subdivision 32 | ||
|
National price indices by SUIC industry are used to deflate CPV estimates of state output from 2001-02 to current year. In the back series, historical volume estimates are used to backcast CPV estimates of state and territory output. |
Item | Comment | |
---|---|---|
Method | ||
|
State estimates of GVA for the industry division are calculated by apportioning national current price value (CPV) estimates of output across states and territories using relevant indicators. Total intermediate use (TIU) is calculated by holding the national ratio of output to TIU fixed across states and territories. GVA is derived as the difference between output and TIU. \(\Large state \space output_{DivG}= national \space output_{DivG} × \Big( \frac{ state \space output \space indicator_{DivG}}{national \space output \space indicator_{DivG}} \Big)\) \(\Large state \space TIU_{DivG}=state \space output_{DivG} × \Big( \frac{national \space TIU_{DivG}}{national \space output_{DivG} } \Big)\) \(\Large state \space GVA_{DivG}=state \space output_{DivG}-state \space TIU_{DivG}\) CPV estimates are deflated using state level price indices, and chained, to produce chain volume measures of output, TIU and GVA. |
|
Output indicator | ||
Current year | ||
|
Sales data from the Retail Trade Survey is combined with HFCE data on motor vehicle purchases and motor vehicle operations expenses, and is used to extrapolate forward EAS sales data. Those extrapolated values are then used to apportion national output across states and territories. |
|
2006-07 to reference year | ||
|
Sales data from the Economic Activity Survey (EAS) is used to apportion national output across states and territories. |
|
Prior to 2006-07 | ||
|
The combined Retail Trade and HFCE data is used to backcast EAS data from 2006-07. Those backcasted values are then used to apportion national output across states and territories. |
|
Deflation | ||
Series span | ||
|
State price indices for the division are used to deflate CPV estimates of state output. The price indices used are the same as those used to derive volume estimates for the Retail Trade survey. |
Item | Comment | |
---|---|---|
Method | ||
|
State estimates of GVA by SUIC industry are calculated by apportioning national current price value (CPV) estimates of output across states and territories using relevant indicators. Total intermediate use (TIU) is calculated by holding the national ratio of output to TIU fixed across states and territories. GVA is derived as the difference between output and TIU. Industry division estimates are calculated as the sum of relevant SUIC industry estimates. \(\Large state \space output_{SUIC}= national \space output_{SUIC} × \Big( \frac{ state \space output \space indicator_{SUIC}}{national \space output \space indicator_{SUIC}} \Big)\) \(\Large state \space TIU_{SUIC}=state \space output_{SUIC} × \Big( \frac{national \space TIU_{SUIC}}{national \space output_{SUIC} } \Big)\) \(\Large state \space GVA_{SUIC}=state \space output_{SUIC}-state \space TIU_{SUIC}\) \(\Large state \space GVA_{DivI}=\sum \limits_{SUIC}(state \space GVA_{SUIC} ) \) CPV estimates are deflated or quantity revalued using national level price indices or quantity data, and chained, to produce chain volume measures of output, TIU and GVA. |
|
Output indicator | ||
Current year | ||
|
Sales data from the Quarterly Business Indicators Survey (QBIS) is used to extrapolate forward EAS sales data. Those extrapolated values are then used to apportion national output across states and territories. |
|
2006-07 to reference year | ||
|
Sales data from the Economic Activity Survey (EAS) is used to apportion national output across states and territories. |
|
Prior to 2006-07 | ||
|
QBIS sales data is used to backcast EAS data from 2006-07. Those backcasted values are then used to apportion national output across states and territories. |
|
Deflation and quantity revaluation | ||
Subdivisions 48 and 49 | ||
|
State quantity information, for water and air transport, published by the Bureau of Infrastructure and Transport Research Economics (BITRE) is used to quantity revalue CPV estimates of state output. |
|
Other subdivisions | ||
|
National price indices by SUIC industry are used to deflate CPV estimates of state output. |
|
Prior to 2001-02 | ||
Current price values and volume estimates | ||
|
For values prior to 2001-02, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those estimates are used to backcast the output indicators from 2001-02. This applies to all subdivisions for current price values, and for chain volume measures except in the case of subdivisions 48 and 49 where the availability of BITRE quantity information removes the need to backcast volume data. Those backcasted values are then used to apportion national output across states and territories. |
Item | Comment |
---|---|
Method | |
|
State estimates of GVA by SUIC industry are calculated by apportioning national current price value (CPV) and volume estimates of output across states and territories using relevant indicators. Total intermediate use (TIU) is calculated by holding the national ratio of output to TIU fixed across states and territories. GVA is derived as the difference between output and TIU. Industry division estimates are calculated as the sum of relevant SUIC industry estimates. \(\Large state \space output_{SUIC}= national \space output_{SUIC} × \Big( \frac{ state \space output \space indicator_{SUIC}}{national \space output \space indicator_{SUIC}} \Big)\) \(\Large state \space TIU_{SUIC}=state \space output_{SUIC} × \Big( \frac{national \space TIU_{SUIC}}{national \space output_{SUIC} } \Big)\) \(\Large state \space GVA_{SUIC}=state \space output_{SUIC}-state \space TIU_{SUIC}\) \(\Large state \space GVA_{DivK}=\sum \limits _{SUIC}(state \space GVA_{SUIC} ) \) The volume estimates are chained to produce chain volume measures of output, TIU and GVA. |
Output indicator | |
Series span | |
|
Estimates of hours worked from the Labour Force Survey are used to apportion national output across states and territories. |
Item | Comment | |
---|---|---|
Method | ||
|
State estimates of GVA by SUIC industry are calculated by apportioning national current price value (CPV) estimates of output across states and territories using relevant indicators. Total intermediate use (TIU) is calculated by holding the national ratio of output to TIU fixed across states and territories. GVA is derived as the difference between output and TIU. Industry division estimates are calculated as the sum of relevant SUIC industry estimates. \(\Large state \space output_{SUIC}= national \space output_{SUIC} × \Big( \frac{ state \space output \space indicator_{SUIC}}{national \space output \space indicator_{SUIC}} \Big)\) \(\Large state \space TIU_{SUIC}=state \space output_{SUIC} × \Big( \frac{national \space TIU_{SUIC}}{national \space output_{SUIC} } \Big)\) \(\Large state \space GVA_{SUIC}=state \space output_{SUIC}-state \space TIU_{SUIC}\) \(\Large state \space GVA_{DivO}=\sum \limits_{SUIC}(state \space GVA_{SUIC} ) \) CPV estimates are deflated using national level price indices, and chained, to produce chain volume measures of output, TIU and GVA. |
|
Output indicator | ||
1997-98 to Current year | ||
|
General government production by state is estimated on a cost basis. Industry estimates of government final consumption expenditure (GFCE) from Government Finance Statistics (GFS) are used to apportion national output across states and territories. |
|
Prior to 1997-98 (secondary data source) | ||
|
For values prior to 1997-98, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those estimates are used to backcast the output indicators from 1997-98. Those backcasted values are then used to apportion national output across states and territories. |
|
Deflation | ||
Series span | ||
|
National price indices by division or SUIC industry are used to deflate CPV estimates of state output. |
Item | Comment | |
---|---|---|
Method | ||
State estimates of GVA by SUIC industry are calculated by apportioning national current price value (CPV) estimates of output across states and territories using relevant indicators. Total intermediate use (TIU) is calculated by holding the national ratio of output to TIU fixed across states and territories. GVA is derived as the difference between output and TIU. Industry division estimates are calculated as the sum of relevant SUIC industry estimates. \(\Large state \space output_{SUIC}= national \space output_{SUIC} × \Big( \frac{ state \space output \space indicator_{SUIC}}{national \space output \space indicator_{SUIC}} \Big)\) \(\Large state \space TIU_{SUIC}=state \space output_{SUIC} × \Big( \frac{national \space TIU_{SUIC}}{national \space output_{SUIC} } \Big)\) \(\Large state \space GVA_{SUIC}=state \space output_{SUIC}-state \space TIU_{SUIC}\) \(\Large state \space GVA_{DivP}=\sum \limits _{SUIC}(state \space GVA_{SUIC} ) \) CPV estimates for subdivision 80 and 81 are quantity revalued using state-based quantity information, and for subdivision 82 are deflated using national level price indices. The resulting volume estimates are chained to produce chain volume measures of output, TIU and GVA. | ||
Output indicator | ||
Subdivisions 80 and 81 | ||
Series span | ||
General government production by state is estimated on a cost basis. Industry estimates of government final consumption expenditure (GFCE) from the Government Finance Statistics (GFS) collection are used to apportion national output across states and territories. | ||
Subdivision 82 | ||
Current year | ||
Expenditure data from GFS is used to extrapolate forward EAS sales data. Those extrapolated values are then used to apportion national output across states and territories. | ||
2006-07 to reference year | ||
Sales data from the Economic Activity Survey (EAS) is used to apportion national output across states and territories | ||
Prior to 2006-07 | ||
For values prior to 2006-07, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those estimates are used to backcast the output indicators from 2006-07. Those backcasted values are then used to apportion national output across states and territories. | ||
Deflation and quantity revaluation | ||
Subdivisions 80 and 81 | ||
State quantity information, for primary, secondary and tertiary student enrolments, is used to quantity revalue CPV estimates of state output. The student numbers are sourced from the ABS Schools publication, the National Centre for Vocational Education Research (NCVER), and the Commonwealth Department of Education. | ||
Subdivision 82 | ||
A national price index for subdivision 82 is used to deflate CPV estimates of state output. |
Item | Comment | |
---|---|---|
Method | ||
State estimates of GVA by SUIC industry are calculated by apportioning national current price value (CPV) estimates of output across states and territories using relevant indicators. Total intermediate use (TIU) is calculated by holding the national ratio of output to TIU fixed across states and territories. GVA is derived as the difference between output and TIU. Industry division estimates are calculated as the sum of relevant SUIC industry estimates. \(\Large state \space output_{SUIC}= national \space output_{SUIC} × \Big( \frac{ state \space output \space indicator_{SUIC}}{national \space output \space indicator_{SUIC}} \Big)\) \(\Large state \space TIU_{SUIC}=state \space output_{SUIC} × \Big( \frac{national \space TIU_{SUIC}}{national \space output_{SUIC} } \Big)\) \(\Large state \space GVA_{SUIC}=state \space output_{SUIC}-state \space TIU_{SUIC}\) \(\Large state \space GVA_{DivQ}=\sum \limits _{SUIC}(state \space GVA_{SUIC} ) \) CPV estimates are deflated using state level price indices, and chained, to produce chain volume measures of output, TIU and GVA. | ||
Output indicator | ||
Subdivision 84 | ||
Current year | ||
Medicare data from the Commonwealth Department of Health and Aged Care is used to extrapolate forward the output indicators. Those extrapolated values are then used to apportion national output across states and territories. | ||
Prior to current year | ||
| Industry estimates of government final consumption expenditure (GFCE) from the Government Finance Statistics (GFS) collection are used to apportion national public sector output across states and territories. Data from the Australian Prudential Regulation Authority (APRA) is used to apportion national private sector output across states and territories. The sector data is combined to form aggregate output indicators. | |
Subdivision 85 | ||
Series span | ||
Medicare data from the Commonwealth Department of Health and Aged Care is used to apportion national output across states and territories. | ||
Subdivisions 86 and 87 | ||
Current year | ||
Population data from the ABS National, State and Territory Population publication is used to extrapolate forward GFS expenditure data. Those extrapolated values are then used to apportion national output across states and territories. | ||
Prior to current year | ||
Industry estimates of government final consumption expenditure (GFCE) from the Government Finance Statistics (GFS) collection are used to apportion national output across states and territories. | ||
Deflation | ||
Series span | ||
State price indices by SUIC industry are used to deflate CPV estimates of state output. |
Changes made to Tables 21.51 and 21.52
From 28/10/2024,
Table 21.51 Gross value added by industry for Education and training (Division P)
Deflation and quantity revaluation: Subdivisions 80 and 81
References to the Commonwealth Department of Education, Skills and Employment have been changed to Commonwealth Department of Education. This reflects current administrative arrangements.
Table 21.52 Gross value added by industry for Health care and social assistance (Division Q)
Subdivisions 84: Current year and 84: Series span
References to the Commonwealth Department of Health have been changed to Commonwealth Department of Health and Aged Care. This reflects current administrative arrangements.
Item | Comment | |
---|---|---|
Method | ||
|
State estimates of GVA by SUIC industry are calculated by apportioning national current price value (CPV) estimates of output across states and territories using relevant indicators. Total intermediate use (TIU) is calculated by holding the national ratio of output to TIU fixed across states and territories. GVA is derived as the difference between output and TIU. Industry division estimates are calculated as the sum of relevant SUIC industry estimates. \(\Large state \space output_{SUIC}= national \space output_{SUIC} × \Big( \frac{ state \space output \space indicator_{SUIC}}{national \space output \space indicator_{SUIC}} \Big)\) \(\Large state \space TIU_{SUIC}=state \space output_{SUIC} × \Big( \frac{national \space TIU_{SUIC}}{national \space output_{SUIC} } \Big)\) \(\Large state \space GVA_{SUIC}=state \space output_{SUIC}-state \space TIU_{SUIC}\) \(\Large state \space GVA_{DivR}=\sum \limits _{SUIC}(state \space GVA_{SUIC} ) \) CPV estimates are deflated using state level price indices, and chained, to produce chain volume measures of output, TIU and GVA. |
|
Output indicator | ||
Current year | ||
|
Sales data from the Quarterly Business Indicators Survey is used to extrapolate forward EAS sales data. Expenditure data for the general government sector, sourced from Government Finance Statistics (GFS), is added to derive output indicators which are used to apportion national output across states and territories. |
|
2006-07 to reference year | ||
|
Sales data from the Economic Activity Survey (EAS), in conjunction with expenditure data for the general government sector, sourced from GFS, is used to apportion national output across states and territories. |
|
Prior to 2005-06 | ||
|
QBIS sales data is used to backcast EAS data from 2006-07. Expenditure data for the general government sector, sourced from GFS, is added to derive output indicators which are used to apportion national output across states and territories. |
|
Deflation | ||
2001-02 to current year | ||
|
National price indices by SUIC industry are used to deflate CPV estimates of state output. The price indices used are the same as those used to derive volume estimates in QBIS. |
|
Prior to 2001-02 | ||
Current price values and volume estimates | ||
|
For values prior to 2001-02, output indicators were estimated consistent with the source data and methods outlined in the 2015 version of this Concepts, Source and Methods publication. Those estimates are used to backcast the output indicators from 2001-02 (for both current price values and chain volume measures). Those backcasted values are used to apportion national output across states and territories. |
Item | Comment | |
---|---|---|
Method | ||
|
State estimates of GVA for ownership of dwellings are calculated by apportioning national current price value (CPV) and volume estimates of output across states and territories using relevant indicators. Total intermediate use (TIU) is calculated by holding the national ratio of output to TIU fixed across states and territories. GVA is derived as the difference between output and TIU. \(\Large state \space output= national \space output × \frac{state \space output \space indicator}{national \space output \space indicator}\) \(\Large state \space TIU=state \space output × \frac{national \space TIU}{national \space output}\) \(\Large state \space GVA=state \space output - state \space TIU\) The volume estimates are chained, to produce chain volume measures of output, TIU and GVA. |
|
Output indicator | ||
Series span | ||
|
Volumes and current price values of imputed and actual rent are sourced from household final consumption expenditure (HFCE) estimates. These estimates are used to apportion national output across states and territories. |
Taxes less subsidies on products
21.180 Taxes and subsidies on products by state and territory are calculated as described in the taxes less subsidies on production and imports section of the Income from Gross State Product: GSP(I) subchapter.
Household income account
21.181 State household income accounts are estimated using the top-down approach. A range of indicators are used to allocate national totals to state.
21.182 In concept, the household sector of a state consists of household units which have permanent residence within the state. This is independent of where household units work or undertake business activities. It follows that workers who work in a state other than their state of residence should be reallocated to their place of residence rather than their place of work. Data sources do not permit this reallocation. Therefore, an assumption is made that all workers work in their state of residence.
21.183 Household net saving is not produced at the state level because of the unavailability of state consumption of fixed capital for households. Consequently, gross household saving is calculated, rather than net saving as in the national accounts.
21.184 The following table outlines the components of the household income and data sources used to allocate the national total across the states:
Item | Comment | |
---|---|---|
Primary income receivable | ||
Compensation of employees | ||
|
State household COE estimates are split using the top-down approach using state estimates of COE from the gross state product account. The Australia-level household COE is COE adjusted for labour income to and from overseas. There is no adjustment for interstate workers with assumption being that employees work in their state of residence. |
|
Gross mixed income | ||
|
Estimates of GMI by state are compiled from agriculture and non-agriculture components. State estimates of agricultural unincorporated enterprises are split using the top-down approach using agricultural production by state. The assumption is made that the high concentration of unincorporated enterprises in agriculture observed at the national level is consistent across all states. GMI of non-agricultural unincorporated enterprises is split to state using the proportions of business income of unincorporated enterprises (i.e. individuals, partnerships and trusts) from Taxation Statistics, as well as business income data from Household Income and Wealth, Australia. |
|
Dwelling owned by household - Gross operating surplus | ||
|
State estimates are split using the top-down approach using GOS dwellings by state produced for the production account. The Australia-level dwelling owned by household GOS is total dwellings GOS adjusted for dwellings owned by other sectors of the economy. The assumption is made that ownership of dwellings for sectors other than households occurs in the same proportion in all states. |
|
Property income | ||
|
Property income is sourced from state interest and dividends data from the ATO taxation statistics publications. |
|
Secondary income receivable | ||
Social assistance benefits | ||
|
Social assistance benefits include benefits received from government, and is sourced from Government Finance Statistics. Commonwealth data is allocated to states using estimates from the ABS publication, Household Income and Wealth, Australia for total government pensions and allowances. |
|
Workers' compensation claims | ||
|
State estimates are split using the top-down approach using state workers' compensation premiums data used to compile state COE estimates. This assumes that claims are paid in the same proportion as premiums across states. |
|
Non-life insurance claims | ||
|
State estimates are split using the top-down approach using estimated resident population. Some adjustment is undertaken for large natural events such as cyclones and floods. |
|
Current transfers to non-profit institutions (NPIs) | ||
|
Consistent with the national accounts, the NPISH sector is included as part of the household sector. Data for current transfers is sourced from Government Finance Statistics, and allocated to states using estimated resident population. |
|
Other transfers receivable | ||
|
This is split between transfers made by immigrants to Australia and remaining miscellaneous transfers. Immigrant transfers are split using the top-down approach to states using state overseas arrivals data from the ABS publication, National, state and territory population. Remaining transfers receivable are split using the top-down approach using ERP data. |
|
Total gross income | ||
|
Total gross income = primary income receivable + secondary income receivable. |
|
Primary income payable | ||
Dwellings interest payable | ||
|
Dwellings interest is split using the top-down approach to states using a cumulative aggregation of new loan commitments over a fifteen-year period from Housing Finance, Australia. A cumulative aggregation is compiled due to the long life span of dwelling loans. |
|
Consumer debt interest payable | ||
|
State consumer debt interest is split using the top-down approach using fixed loans and revolving credit data directly from the ABS publication, Lending Finance, Australia. |
|
Unincorporated enterprises payable | ||
|
State unincorporated interest payable is split using the top-down approach using business interest paid components from ATO taxation statistics. |
|
Secondary income payable | ||
Income tax payable | ||
|
Income tax payable is split to states based on the top-down approach, using income tax by state data. This is received with a two-year lag. A combination of state COE and state GMI estimates are used to estimate state splits for the latest two years. |
|
Other current taxes on income, wealth, etc. | ||
|
Other current taxes on income, wealth, etc. are split to states using the top-down approach using income tax by state data from ATO taxation statistics and GFS data. |
|
Workers' compensation premiums | ||
|
State estimates are split using the top-down approach using state premiums data used to compile state COE estimates. |
|
Net non-life insurance premium payments | ||
|
State estimates are split using the top-down approach using ERP estimates. Some adjustment is undertaken for large natural events such as cyclones and floods. |
|
Other current transfers payable | ||
|
This comprises transfers to migrants leaving Australia as well as current transfers to other sectors i.e. miscellaneous current transfers such as fines and pensions paid to non-residents. Migrant transfers are split using departures data from National, state and territory population. Miscellaneous current transfers are allocated to states using ERP estimates. |
|
Total income payable | ||
|
Total income payable = primary income payable + secondary income payable |
|
Gross disposable income | ||
|
Gross disposable income = total income receivable – total income payable |
|
Household gross saving | ||
|
Household gross saving = gross disposable income – household final consumption expenditure This is equivalent to net saving plus consumption of fixed capital as published in the national accounts, since consumption of fixed capital is not separately allocated by state. |
Agricultural income account
21.185 The agricultural income account details the primary income flows for the agriculture industry, corresponding to ANZSIC Subdivision 01 Agriculture. It combines estimates for agricultural GVA, GOS/GMI and COE with other expenses to produce agricultural income.
21.186 The key aggregates of agricultural income are:
- agriculture GVA at basic prices;
- agriculture GVA at producer prices; and
- agricultural income.
21.187 Agricultural income is calculated as follows:
= agricultural GOS/GMI | |
– property income payable | |
– consumption of fixed capital |
where agricultural GOS/GMI is calculated as:
= agricultural gross value added | |
– agricultural compensation of employees | |
– agricultural other taxes on production | |
+ agricultural other subsidies on production |
21.188 The following calculation shows how gross value added for both basic prices and producer prices is derived from agricultural income:
Gross value of agricultural production | |
less | Intermediate input costs |
equals | Gross agricultural value added at basic prices |
plus | Taxes less subsidies on products |
equals | Gross agricultural value added at producers' prices |
21.189 The following table outlines the components of the agricultural income account and data sources used to allocate the national total across the states:
Item | Comment |
---|---|
Agricultural output | |
Agricultural output data is collected from the Australian Bureau of Agricultural and Resource Economics (ABARE) and Value of Agricultural Commodities Produced, Australia. See Table 21.26 for more details. | |
Agricultural input costs | |
Agricultural input costs are calculated as the sum of marketing costs, fodder costs, seed costs and other costs. See Table 21.26 for more details. | |
Agricultural gross value added at basic prices | |
|
Agricultural gross value added at basic prices = Agricultural output – Agricultural input costs. |
Agricultural compensation of employees (COE) | |
|
The national ratio of the ANZSIC Subdivision 01 Agriculture COE to the ANZSIC Division A Agriculture, forestry and fishing COE is applied to all states. The assumption is made that the same proportions apply across all states. |
Consumption of fixed capital (COFC) | |
National benchmarks are allocated to states using fixed weights based on the ABS Agricultural Finance Survey (AFS), which ceased in 2001. | |
Net property income payable | |
National benchmarks are allocated to states using fixed weights based on the ABS Agricultural Finance Survey (AFS) which ceased in 2001. | |
Agricultural expenses | |
|
Agricultural expenses = Agricultural COE + COFC + Net property income payable |
Other taxes less subsidies on production | |
|
The national ratio of the ANZSIC Subdivision 01 Agriculture Other taxes less subsidies on production to ANZSIC Division A Agriculture, forestry and fishing Other taxes less subsidies on production is applied to all states. This assumes the same proportion exists for all states. |
Agricultural income | |
|
Agricultural income = Agricultural gross value added – Other taxes less subsidies on production – Agricultural expenses |
Taxes less subsidies on products | |
The national benchmark is allocated to states using the proportions of state agricultural output. | |
Agricultural gross value added (GVA) at producers' prices | |
|
Agricultural GVA at producers' prices = GVA at basic prices + Taxes less subsidies on products |
Chapter 22 Input-Output Tables
Introduction
22.1 The input-output tables form an integral part of the ASNA. They present a comprehensive picture of the supply and use of all products in the economy, and the incomes generated from production. They also provide a much more detailed disaggregation of gross domestic product than is available in the national income, expenditure and production (GDP) accounts. This chapter provides a detailed description of the I-O tables, their importance within the overall ASNA, the compilation process, and how they relate to the rest of the accounts. Two kinds of I-O tables are referred to in national accounting and economic analysis:
- supply-use tables (see Chapter 7 for a full description of how S-U tables are used to benchmark the ASNA); and
- input-output tables, including symmetric I-O tables (product by product or industry by industry matrices which combine supply and use into the one table, with identical classifications of products or industries applied to both rows and columns).
22.2 The integration of 'input-output' in the overall system of national accounts is an important feature of the ASNA. Its role in the ASNA is primarily related to the goods and services accounts and to the shortened sequence of accounts for industries. The I-O tables serve to provide a more detailed basis for analysing industries and products through a breakdown of the production account, leading to the symmetric input-output table. 'Symmetric' means that the same classifications or units (e.g. the same groups of products) are used in both rows and columns. When the number of rows of products and columns of industries happens to be equal, they are referred to as square (not symmetric) I-O tables. However, I-O tables are most often rectangular (having more products than industries).
22.3 The I-O and S-U tables serve two purposes: statistical and analytical. They provide a framework for checking the consistency of statistics on flows of goods and services obtained from quite different kinds of statistical sources - industrial surveys, household expenditure surveys, investment surveys, foreign trade statistics, etc. The ASNA, and the I-O tables in particular, serves as a coordinating framework for economic statistics, both conceptually for ensuring the consistency of the definitions and classifications used and as an accounting framework for ensuring the numerical consistency of data drawn from different sources. The I-O framework is also appropriate for data estimation purposes, and for detecting weaknesses in data quality and estimation. By providing information on the structure of, and the nature of product flows through the economy, the I-O tables assist in the decomposition of transactions into prices and volumes for the calculation of an integrated set of price and volume measures. As an analytical tool, input-output data are conveniently integrated into macroeconomic models in order to analyse the link between final demand and industrial output levels. Input-output analysis also serves a number of other analytical purposes or uses, which are discussed further in the sections below.
22.4 I-O tables are not revised once they have been finalised. They are not compiled as a time series but rather are a point in time reflection of the economy. The rest of the national accounts (e.g. the S-U tables and the GDP accounts) may be revised for all periods whenever an historical revision is undertaken, and therefore are a consistent time series. Therefore, an I-O table can only be considered current with the published national accounts within a year of their publication.
22.5 Various tables are included under the broad heading of I-O tables. Each of these tables provides detail that underlies the aggregates recorded in the gross domestic product account. These summary accounts are focused on the end result of economic activity, whereas the I-O tables provide detailed dissections of that activity, industry to industry flows and by showing intermediate transactions they enhance the description of productive activity within the economy.
The structure of the I-O tables
22.6 The I-O tables are sourced from the S-U tables, and the concepts and definitions used are the same as elsewhere in the ASNA. Issues of particular importance to the I-O tables include statistical units and the distinction between primary and secondary activities.
22.7 The ABS uses an economic statistics model to describe the characteristics of units, and the structural relationships between businesses. Businesses with a simple structure are classified by their Australian Business Number (ABN) on the Australian Business Register (ABR), maintained by the Australian Taxation Office. Businesses with a more complex structure (i.e. where the ABN is not suitable for ABS statistical requirements) are maintained on the ABS Maintained Population register (ABSMP), through direct contact with the business. These units comprise the Enterprise Group, the Enterprise and the Type of Activity Unit (TAU). The TAU represents a grouping of one or more business entities for which a basic set of financial production or employment data can be reported.
22.8 When a unit engages in more than one type of production, the primary production is the activity for which gross value added is the greatest for that unit. The production reported by a unit may include both primary and secondary production. The output of an industry may be a number of products that are jointly produced (e.g. natural gas linked to crude oil). In this case primary products may be distinguished by the principal product with the smaller output treated as secondary production.
22.9 I-O tables can be compiled for industries or products but they are both similar in theory. The distinguishing characteristics of analytical I-O tables are that they are square and symmetric, and they differ from the S-U tables in that the transactions are valued at basic prices rather than purchasers’ prices. The I-O tables provide detailed information about the supply and use of products in the Australian economy and about the structure and inter-relationship between Australian industries.
22.10 Table 22.1 provides a summary of the different dimensions and values shown in the published I-O tables. Detailed information on the content of each published table is provided below the summary table.
Table No. | Type of table | Row | Column | Value | |
---|---|---|---|---|---|
1 - 4 | Basic tables | Product | Industry | Current Price | |
5 | Derived table | Industry | Industry | Current Price | |
6 - 7 | Derived tables | Industry | Industry | Coefficient | |
8 | Derived table | Industry | Industry | Current Price | |
9 - 10 | Derived tables | Industry | Industry | Coefficient | |
17 | Derived table | Industry | Primary Input | Percentage | |
19 | Derived table | Industry | Ratios | Coefficient | |
20 | Derived table | Industry | Employment | No. of persons | |
21 | Basic table | Product | Margin/Non-margin | Current Price | |
23 -39 | Basic tables | Product | Industry | Current Price | |
40 | Correspondence tables |
Basic tables of I-O
22.11 The basic tables of I-O are aggregations of the various components of GDP. The most significant feature of these tables is that they are not symmetrical in that the dimension of the columns differs from dimension of the rows.
22.12 There are four main basic tables used to compile the I-O tables:
- Supply table – shows the output of domestic industries and imports classified across columns, and products classified across rows. The largest values are found on the leading diagonal as industries specialise in their primary products. The columns in the supply table show the products each industry produces, and the extent to which industry specialises in the production of its primary products, as well as the product composition of imports.
- Use table – shows the product groups and primary inputs in the rows, and industries and final use categories in the columns. The rows show the total supply of products, whether locally produced or imported, and show how these products are used by industries as intermediate inputs to production or consumed as final demand by category. At the bottom of the table, the rows show the primary inputs purchased by industries, and by final demand. Reading down the columns shows that you can read the inputs (intermediate and primary) into each industry, and the composition of each final demand category. Therefore, all flows of goods and services in the economy are covered.
- Imports table – shows in the columns the industries to which imported products would have been primary if they had been produced in Australia, and in rows the usage of these products by industry and final demand category. This breakdown is only shown for competing imports, or those products which are produced domestically and imported, so that substitution between domestically produced products and imports is possible. The disposition is not shown for complementary imports, which by definition are products that are not domestically produced. Since the 2001-02 I-O tables, ABS has not measured complementary imports, and assigns all imports as competing.
- Margins table – shows the difference between the basic price and the purchaser’s price of all flows in the use table. Table 4 shows the decomposition of flows at purchaser prices into basic prices, net taxes on products and the sum of all trade and transport margins. Tables 23 to 39 show the detailed disposition of each type of margin, product taxes by type, and product subsidies, to intermediate use and final use categories.
22.13 These four main basic tables make up a record of the estimated flows which occur in the production process. However, the use table is not symmetric which makes it unsuitable for some forms of analysis. This problem is solved by converting the use table to an industry-by-industry flow table by adjusting the rows to show industry use of industry output, rather than products. The ABS does not produce product-by-product flow tables.
22.14 Table 22.2 provides a summary of the basic I-O tables published by the ABS.
Table No. | Description | |
---|---|---|
1 | Australian production by product group by industry
| |
2 | Input by industry and final use category and Australian production and imports by product group
| |
3 | Imports - supply by product group and inputs by industry and final use category
| |
4 | Reconciliation of flows at basic prices and at purchasers' prices by product group
| |
21 | Composition of supply of products containing margins
| |
23 | Wholesale margin on supply by product group by using industry and final use category
| |
24 | Retail margin on supply by product group by using industry and final use category
| |
25 | Restaurants, hotels and clubs margin on supply by product group by using industry and final use category
| |
26 | Road transport margin on supply by product group by using industry and final use category
| |
27 | Rail transport margin on supply by product group by using industry and final use category
| |
28 | Pipeline transport margin on supply by product group by using industry and final use category
| |
29 | Water transport margin on supply by product group by using industry and final use category
| |
30 | Air transport margin on supply by product group by using industry and final use category
| |
31 | Port handling margin on supply by product group by using industry and final use category
| |
32 | Marine insurance margin on supply by product group by using industry and final use category
| |
33 | Gas margin on supply by product group by using industry and final use category
| |
34 | Electricity margin on supply by product group by using industry and final use category
| |
35 | Net taxes on products by product group by using industry and final use category
| |
36 | Goods and services tax on products by product group by using industry and final use category
| |
37 | Duty on products by product group by using industry and final use category
| |
38 | Taxes on products nei by product group by using industry and final use category
| |
39 | Subsidies on products by product group by using industry and final use category
|
Derived tables of I-O
Changes made to Table 22.2 Basic tables published by the ABS
From 28/10/2024,
The title of Table 1 has been changed to reflect the latest issue of Australian National Accounts: Input-Output Tables.
22.15 Derived tables differ from the basic tables in I-O in that they are symmetric so that the dimensions of the columns and rows are the same. The dimension is either product by product or industry by industry. In Australia the derived I-O tables are industry by industry.
22.16 Another feature of the derived table is that they are not simply aggregations of the components. Some further calculations are applied in order to produce the tables namely the derivation of coefficients.
22.17 Table 22.3 depicts the industry-by-industry table. A row in the table shows the disposition of the output of an industry group and a column shows the origin of inputs into an industry and final use category. The output of an industry equals the sum of its inputs including its primary inputs so the column total must equal the row total.
Table 22.3 Industry by industry flow matrix
22.18 Table 22.3 shows the basic structure of an industry-by-industry table with direct allocation of imports (as is published in Table 5 of the I-O tables) where imports are allocated to the using industries. The flows between the domestic industries are:
- Quadrant 1 – this is referred to as the inter-industry quadrant where each column shows the intermediate inputs into an industry in the form of products produced by other industries and itself. Each row shows how the output of an industry has been used by itself and other industries as part of their production process;
- Quadrant 2 – shows the disposition of output to final use categories by industry group;
- Quadrant 3 – shows the primary inputs to production (compensation of employees, gross operating surplus and gross mixed income, imports and net taxes on production); and
- Quadrant 4 – shows the disposition of primary inputs to final demand categories.
22.19 The sum of quadrants 1 and 2 shows the total usage of goods and services produced by each industry. Total usage equals total supply, with final demand including change in inventories, which may be positive or negative.
22.20 The sum of quadrants 1 and 3 shows the total inputs required to produce the outputs of each industry group. Total inputs equals total supply or outputs, with primary inputs including gross operating surplus and gross mixed income, which can conceptually be positive or negative.
22.21 Table 8 of the I-O tables is an industry-by-industry flow table with indirect allocation of imports. This table shows:
- supply by industry group, including Australian production and products which are imported; and
- the inputs into an industry’s production, reflecting the technological relationships between all inputs into the industry, whether domestically produced or imported.
22.22 In order to balance the table, the row for competing imports is shown below the Australian production; that is, showing total supply (row total) for each industry as being equal to the corresponding total uses (column total). For each column, this row shows the value of imports competing with the output of each industry. This presentation results in the double entry for imports in the table to reconcile total supply and total uses. In a table with direct allocation of imports, the competing imports row is shown above the Australian production row, and shows, for each industry, the total intermediate use of imports by the industry.
22.23 The difference between the direct and indirect allocation of imports is discussed in the allocation of imports section (paras.22.55-22.61).
22.24 The following table provides a summary of the derived I-O tables published by the ABS:
Table No. | Description |
---|---|
5 | Industry by industry flow table (direct allocation of imports)
|
6 | Direct requirement coefficients (direct allocation of imports)
|
7 | Total requirement coefficients (direct allocation of imports)
|
8 | Industry by industry flow table (indirect allocation of imports)
|
9 | Direct requirement coefficients (indirect allocation of imports)
|
10 | Total requirement coefficients (indirect allocation of imports)
|
Additional published tables
There are four additional tables that are published which are not basic or derived I-O tables. The following table provides a summary of them:
Table No. | Description |
---|---|
17 | Primary input content (total requirements) per $100 of final use by industry
|
19 | Specialisation and coverage ratios by industry
|
20 | Employment by industry
|
40 | Industry and product concordances
|
Homogeneity assumption
22.26 In Quadrant 1, a row or column is said to refer to an industry; however, a row or column can refer to a product (or group of products) rather than an industry. The structure of products or industries is important in the use of the I-O tables. It is desirable that each product or industry changes as little as possible over time, and that each industry produces a single output, with a single input structure. This approach implies that all products produced by an industry are perfect substitutes for each other or are produced in fixed proportions. It also implies that the input structure does not vary in response to changes in the product mix, and that there is no substitution between the products of different groups of products or industries. This is known as the homogeneity assumption; however, it is not fully supported in the ABS I-O tables.
22.27 The stability of coefficients is affected by the interaction of two factors: (a) the aggregation of products with different input structures; and (b) changes in the product group mix over time. This becomes important when the data sources for the I-O coefficients are infrequent, such that it is necessary to assume that observed coefficients apply in the following years, at least as a starting point. This problem arises in industries producing a range of products that have different input structures.
22.28 There is significant aggregation even in large I-O tables, leading to a departure from these objectives, and affecting the homogeneity of products or industries. There are two ways the aggregation can be made: (a) grouping by industries to create an industry-by-industry table (the ABS approach); or (b) grouping by products to create a product-by-product table. The two methods result in differing impacts on homogeneity, with different implications for the analytical use of the tables. There is no complete solution for the aggregation problem, but appropriate grouping can keep errors to acceptable limits. The groups used are partly dependent on industry classifications, and the practical process of compiling the I-O tables.
22.29 At first sight, the solution to the grouping problem is to narrowly define product groupings. However, this could result in the tables becoming too complicated for users, and would take too long to compile, particularly as the ABS is now producing I-O tables every year. Even with narrower product groupings, there would be instances where a TAU produced products classified to different groups of products, and it would not be practical to split details to different groups. Confidentiality would also become a problem in some industries, as the products covered in a group became more specific.
22.30 For industries, the homogeneity assumption will not be fully met as some industry groups produce a wide range of products at the industry-group level. Similar to above, the classification of industries as establishments or TAUs would make the tables too complicated; the tables would take too long to compile; and there would be confidentiality issues. Grouping industries will still result in secondary production, where the products have different input structures. For example, if the basic iron and steel industry also produces non-ferrous castings, the input structure for this column will show the use of non-ferrous metals, and the corresponding row will show sales of products to industries using non-ferrous castings. These results may not be suitable for users interested only in iron and steel products. The requirements calculated from this table could be misleading, unless the production of secondary products forms a fixed proportion of the industry's output. The proportion of product mix should remain constant where secondary products are jointly produced, or the secondary product is a by-product of the primary production; there is often no correlation between primary and secondary products.
22.31 The extent of secondary production by an industry depends on the range of products produced by individual establishments, and whether the industries are grouped into large numbers of narrowly defined industries, or a small number of broadly defined industries. Where industries are narrowly defined, a large proportion of the products will be produced by industries to which the products are not primary. This conflicts with both the homogeneity requirement and the non-substitution requirement. Where significant proportions of a product can be substituted by products produced by a different industry, there is a weak link between the demand for a product and the output of a single industry. Combining some of these industries could improve homogeneity in one respect, at the expense of creating a more heterogeneous product mix.
Grouping of products and industries
22.32 The availability of source data will ultimately affect the grouping of products or industries. Detailed information of sales or output of products is normally available, but information on costs may not be available. In some cases, only input structure detail may be available. A rolling program of case studies is used to gather detailed data on companies’ input and output structures, by direct interview with companies, in order to assist with this problem. In the past, economic activity by some industries was redefined to more appropriate industries to limit the impact of secondary production on the tables, but this is no longer done in order to reflect how production occurs in the economy.
22.33 Regardless of whether products or industries are used in quadrant 1, the same processes are followed to assemble the data. It is necessary to record the product flows in a way that is suitable to compile I-O tables. The same information is required for each product or product group:
- the origin or source of supply, domestic supply by industry, and imports;
- the use of the product, intermediate usage by industry and final demand by category; and
- the difference (margins, taxes and subsidies on products) between the basic price and purchaser's price for each product.
22.34 The supply of imports must be classified in the same way as Australian production. Imports data is sourced from Customs data. These data are initially classified according to the Harmonised Tariff Item Statistical Code (HTISC) which is then concorded to the Input-Output Product Classification. The data enters the I-O tables as a vector and is allocated to the industry to which the imported product is primary.
Deviations from International Standards
22.35 The I-O tables are an analytical tool which is compiled using the balanced S-U tables as a starting point. They can deviate to an extent from ASNA and 2008 SNA treatments in order to serve particular analytical purposes. The two main deviations are described below in more detail. They are:
- the 1968 SNA transport margin adjustment; and
- the c.i.f./f.o.b. adjustment.
22.36 The following is the list of aggregates where consistency is ensured between the I-O tables and the rest of the national accounts:
- household final consumption expenditure;
- government final consumption expenditure (total only);
- private gross fixed capital formation (total only);
- public corporations gross fixed capital formation (total only);
- general government gross fixed capital formation (total only);
- changes in inventories (total only);
- exports (total only including re-exports);
- imports (total only);
- compensation of employees (total only);
- gross operating surplus and gross mixed income (total only);
- taxes less subsidies on products;
- other taxes less subsidies on production and imports;
- income from dwelling rent - total gross rent;
- income from dwelling rent - consumption of financial services; and
- industry value added (industry level).
The 1968 SNA transport margin adjustment
22.37 The 1968 SNA Transport Margin Adjustment (SNA68 TMA) aims to capture the transport charges for goods delivered by a third party, arranged by the producer without a separate invoice. I-O tables depart from the 2008 SNA in the definition of output at basic prices due to user requirements. SNA68 TMA ensures the same product is not being valued differently depending regardless of whether the producer charged separately for the delivery of the product or not.
22.38 The transport charges are removed from Australian production and added to the transport margins and thus reducing supply at basic prices. The amount of the adjustment is sourced from the Economic Activity Survey (EAS) at the ANZSIC06 class level and aggregated to IOIG and disaggregated to product. The adjustment is applied to the products in four divisions; Agriculture, Forestry and Fishing; Mining; Manufacturing; and Arts and Recreation Services (applied to only one product of artistic originals).
22.39 SNA68 TMA is only applied to primary production of Australian goods; wholly imported goods have zero SNA68 TMA. The adjustment is only applied to five transport margin types; Road, Rail, Water, Air and Stevedoring. For row balancing purposes, the margin allocated to that product is increased respectively as the output is decreased. The increase in the margin columns is offset by a decrease in Australian production at basic price. To balance the margin products in the output matrix, the margin product is increased and the transport non-margin product is decreased to balance the column. To complete the process, the imbalance in the output matrix of the non-margin product is offset with a respective decrease in the Intermediate Use of that product.
22.40 Overall, the supply at basic prices is reduced and the margins increased with the same amount, and supply at purchaser prices remains the same, except for transport non-margin products. There are four quality checks that ensure the adjustment is applied properly:
- no negative supply at BP;
- no negative margins (except in margin products);
- no change in supply at PP except for transport non-margin products; and
- the sum of margins equals zero.
The c.i.f./f.o.b. adjustment
22.41 Each imported good in the input-output tables is valued cost insurance and freight (c.i.f.) since it is the equivalent to the basic price of the same domestic product. However, total imports has to be valued free-on-board (f.o.b.) in accordance with BOP and National Accounts methodology. Transport and insurance services on imported goods may be performed by residents and non-residents. If the latter is a genuine import of services, the former is a domestic output and should not be treated as imports. Two operations are therefore necessary: firstly, to reconcile detailed c.i.f. values with total imports f.o.b., and secondly, to avoid the double counting of resident services:
The c.i.f./f.o.b. adjustment
22.42 The total adjustment corresponding to the transport and insurance services rendered by residents is, by construction, negative:
– transport and insurance services rendered by residents |
= (imports f.o.b. - imports c.i.f.) + (transport and insurance rendered by non-residents) |
22.43 The UN Handbook of Input-Output Table Compilation and Analysis recommends the presentation of the c.i.f./f.o.b. adjustment as a separate item in the I-O tables. This presentation has not been adopted in the ABS I-O tables, where the adjustment is added to the transport and insurance services rendered by non-residents as explained above. These two items are allocated to non-margin water transport and non-margin air freight products. The sum of these two components is, by construction, negative.
22.44 A negative value in imports is conceptually correct and complies with the UN handbook. Because negative values are incompatible with some analytical models, the ABS also compiles a different view of the tables by re-allocating this negative adjustment on imports to a positive adjustment on exports. The consequence is an increase by the same amount of both imports and exports.
22.45 An alternative view of the I-O tables is also published to support the needs of users who apply the data in large and sophisticated models. The tables mirror the main I-O tables except for the different treatment of the c.i.f./f.o.b. adjustment.
Special treatments adopted in compiling I‑O tables
22.46 The symmetric I-O tables are sourced from the S-U tables, and the concepts and definitions used are the same as elsewhere in the ASNA. Issues of particular importance to the I-O tables include statistical units and the distinction between primary and secondary production.
22.47 The content and meaning of the I-O tables produced depend on some particular aspects of compilation including:
- the treatment of intra-industry transactions; and
- the allocation of imports.
Intra-industry transactions
22.48 Depending on the treatment of intra-industry transactions, the output of an industry can be defined in three different ways according to whether, and to what extent, these transactions are counted as part of the output.
22.49 Firstly, the output of an industry can be defined as the total value of all flows of products produced by the units classified to the industry. All intra-industry flows are included as output when it is defined in this way. Under this definition, for example, the output of the Motor vehicles and parts; Other transport equipment industry consists not only of fully assembled vehicles but also of motor bodies, engines and other components despatched from (or added to inventories by) any unit recognised as a unit for statistical purposes. This definition of output disregards the fact that many of these components will have been incorporated in finished motor vehicles and will have therefore been counted twice. Output calculated according to this definition could be as much as two or three times the value of finished products of the industry.
22.50 A second definition of the output of an industry confines output to products produced by units within the industry and sold outside the enterprise. This definition also results in some duplication because the components manufactured and sold by one enterprise are all counted separately, although they may have been used in a finished product of another enterprise in the same industry and counted again in the value of this product. Moreover, the components despatched from one unit could be omitted entirely or counted either partly or wholly depending on whether they were used by another unit of the same enterprise or by a different enterprise.
22.51 Thirdly, the output of an industry can be defined as net of all intra-industry transactions; that is, excluding not only the transfers between the unit in industry belonging to the same enterprise, but also all flows between units in industry belonging to different enterprises.
22.52 If the third definition of output is used, the I-O table is said to be net and the main diagonal of an industry-by-industry table is empty. If either the first or second definition of output is used the I-O table is said to be gross and there are entries on the main diagonal.
22.53 For 1974–75 and subsequent years, the ABS I-O tables generally include intra-industry flows and can be described as 'gross', as outlined above. This means that the estimates of output can be directly compared with other information about an industry.
22.54 A further consequence of recording intra-industry transactions is that the level of output is unaffected by the number of industries used (i.e. by different levels of industry aggregation). An important exception is the construction industry, in which output was measured on a net basis prior to the 2001-02 tables.
Allocation of imports
22.55 Information regarding the use of imports in the economy is not generally available because it is impractical to collect data on how imported products are used. For analytical purposes, the ABS models the use of imports in the intermediate and final use categories using a number of assumptions. In an indirect allocation of imports approach, imports are not distinguished from domestically produced products and their use is therefore based on their contribution to the total supply. Specific rules also determine the disposition of imports which, by definition cannot be allocated to domestic exports but must be allocated to re-exports.
22.56 Various ways are available to record imports in the I-O tables. The main ones are:
- direct allocation of imports – involves allocating all imports directly to the industries which use them. In this case, all flows recorded in quadrants 1 and 2 refer only to the use of domestic products, and consequently quadrant 1 does not reflect the technological input structure of the industry;
- indirect allocation of imports – involves first recording all imports as adding to the supply of the industry to which they are primary and then allocating this supply along the corresponding row of the table to using industries. The result is that flows in quadrants 1 and 2 contain imported and domestically produced products without distinction. Quadrant 1 then better reflects the technological input structure of the industry and quadrant 2 better reflects the product composition of final demand; and
- direct allocation of complementary imports and indirect allocation of competing imports – this method involves first distinguishing between complementary and competing imports and then allocating the first group directly and the latter indirectly. Complementary imports are defined as those for which no suitable substitute is produced domestically, but determining what is a suitable substitute is largely a matter of judgement. As complementary imports ceased to be separately distinguished from the 2001-02 tables onwards this method is not available in the published ABS I-O tables.
22.57 Each of these methods has advantages from an analytical point-of-view but each also can lead to conceptual and compilation problems.
22.58 Direct allocation of imports is appropriate for many analytical purposes. However, it would be necessary to adjust the imports table and to recalculate the industry-by-industry tables if substitution between imports and domestic production is known to occur, in order to allow for the probable effects of specified import replacement or substitution. In addition, the application of this method requires identification of the destination of each imported product. Although the proportion of imports in total supply (and therefore in total usage) for each product can be established, it may not be known for individual using industries. Of course, it is possible to proceed if one assumes that each using industry draws on imports and domestic production in the average proportions established for the total supply of each product. In the I-O publication, tables with direct allocation of competing imports have been prepared using this assumption. The assumption was applied to detailed working tables which were subsequently aggregated for publication.
22.59 Indirect allocation of imports is appropriate, in the sense that it will result in stable input-output coefficients, where the inputs to the domestic industry to which each imported product is primary are representative of the inputs required to produce the import domestically. Where this is not so, the method will give misleading results. For instance, if coffee (which could be treated as a complementary import) were distributed with the 'other agriculture' product group, an increase in the demand for coffee would necessitate an increase in the output of the 'other agriculture' industry. This, in turn, would require an increase in the inputs to that industry as specified in the published tables unless a specific adjustment is made to the tables. It is easy to compile tables using the indirect allocation method. The initial problem which has to be overcome is matching each imported product with the domestic industry to which the product is primary or would have been primary if it were produced domestically.
Coverage of transactions
22.60 The input-output tables record only those flows of goods and services that have been domestically produced, imported or drawn from domestic inventories during the reference period. Therefore, some transactions are outside the scope of the I-O tables, and are not recorded in them. The most important exclusions are financial transactions, such as loans, interest and the purchases of securities, which are not products in an SNA sense.
22.61 Other transactions have to be modified before they can be included in the tables. For instance, flows of products are commonly reported as sales and purchases, but the I-O tables should record output and usage. Output will differ from sales, and input (or usage) will differ from purchases, by the amount of inventory change (positive or negative) in both cases. Output is calculated as sales plus changes in inventories of finished goods plus changes in inventories of work-in-progress, and input is calculated as purchases less changes in inventories of materials. Changes in inventories are recorded in a separate final demand column in the row of the industry of origin. Entries in this column refer to changes in inventories of both domestically produced and imported products, regardless of whether they are held by producers, dealers or intermediate users.
22.62 Input-output tables include some elements which are not market transactions, such as the imputed rentals of owner-occupied dwellings and some home-produced food, as output for own-final consumption.
22.63 For analytical purposes, they also include own intermediate use of some energy products such as gas or electricity.
22.64 Estimates for own-account computer software and research and development are also included to estimate output, as output for own final use as fixed capital formation.
Valuation of transactions
22.65 The flows in Input-Output tables can be valued in several ways. The choice depends partly on the intended use of the tables and partly on availability of data (including the assumptions that can reasonably be made where data are lacking). The valuation conventions most commonly used are basic prices, producers' prices and purchasers’ prices. They are defined as follows:
- Basic prices – the amount receivable by the producer from the purchaser for a unit of a good or service produced as output, minus any tax payable, and plus any subsidy receivable, on that unit as a consequence of its production or sale. It excludes any transport charges invoiced separately by the producer, and an adjustment is made to exclude delivery charges that are not separately invoiced, organised by the producer and delivered by a third party.
- Producers’ prices – the amount receivable by the producer from the purchaser for a unit of a good or service produced as output, including any tax that is incorporated within the sales price, and excluding any subsidy that reduces the sales price, on that unit as a consequence of its production or sale. It excludes any transport charges invoiced separately by the producer, and an adjustment would be made to exclude delivery charges that are not separately invoiced, however, producer's price is not used in the Australian I-O tables.
- Purchasers’ prices – the amount paid by the purchaser in order to take delivery of a unit of a good or service at the time and place required by the purchaser. It includes any transport charges paid separately by the purchaser to take delivery at the required time and place. GST paid by producers for which input credits are granted is excluded from purchasers' prices.
22.66 The difference between the cost of a product to the purchaser and the basic price receivable by the producer is composed of taxes less subsidies on products and margins such as transport and storage services, marine insurance, and wholesale and retail margins. Regardless of whether the producer or the purchaser initially pays for the margins, the concept of producer's price excludes the margins and the concept of purchaser's price includes them.
Special valuation issues
Basic margins
22.67 If the transactions are valued at basic prices, the margins are recorded as inputs from the appropriate industry (e.g. transport, wholesale trade) to the intermediate users or final buyers. If transactions are valued at purchasers' prices, the value of the margins is added, along with taxes less subsidies on products, to the basic price of the good to which the margins relate. The input into the intermediate or final use category of the transport or wholesale trade industry is reduced by a corresponding amount.
22.68 Whichever method is used, a complicated estimation process will be necessary before the transactions can be valued in one of these ways. First, input and output statistics from economic statistics collections are not available on the same valuation basis. Most output statistics are on an ex-plant or similar basis, but input statistics are normally available at the price paid by the user. Second, margins apply only to those flows of products which have actually passed through the 'margin' industries. Any products delivered directly from producer to user, without intervention of 'margin' industries, are obviously unaffected by margins.
22.69 The incidence of margins can vary considerably between users, depending on the channels through which they obtain their supplies. For instance, most producers would not buy supplies to meet their requirements through retailers, while practically all households do so.
22.70 The supply of product groups containing margin products consists of two parts: that which involves the movement of goods and that which represents other (non-margin) products. Only the first of these parts (e.g. freight of goods by rail or road) is treated as margin, and this part is allocated differently depending on whether the flows are at basic prices or at purchasers' prices. The second part (e.g. railway fares) is treated as non-margin and is always shown as paid by purchasers.
Taxes and subsidies on products
22.71 The treatment of taxes on products in input-output tables creates special problems which can only be solved by conventions.
22.72 The concept of producers' price includes taxes on products. If transactions are valued at producers' prices, taxes on products are recorded as being paid by producers. However, taxes on products do not accrue to producers, are not levied on all products, and can vary significantly between different uses and over time, for reasons which have nothing to do with production. For instance, GST may not be payable on exports or on government purchases of some products, but it may be quite high on the same products bought for personal consumption. Therefore, if taxes on products were included in the value of products on which they are levied, the flows would not be valued uniformly, and the subsequent manipulation of the tables could give quite erroneous results.
22.73 This problem can be avoided by recording the product flows at the value at which they leave the producers before product taxes are charged and showing these taxes separately from the product flows where they arise. When this method is adopted, the flows are valued at basic prices and this is the basis of valuation adopted in most tables in the I-O publication. In these tables, all flows of products exclude taxes on products. These taxes are shown in separate rows. Taxes on products are shown as being paid by the users of the products on which the taxes are levied, except for GST paid by producers and for which input credits are granted. Other non-deductible GST is allocated to final consumers.
22.74 Other taxes on production are shown as being paid by the industry that incurred them. In tables at purchasers' prices, taxes on products are shown as paid by the producer of products subject to tax. As with margin elements, this treatment of taxes on products can result in lack of uniform valuation of product flows and in the distortion of input-output relationships.
22.75 Product specific subsidies are treated as negative taxes on products, and the amounts shown in a separate row representing the difference between the two.
22.76 In tables at basic prices, taxes on products are recorded as paid by purchasers. If the purchasers also bought some products which attract a subsidy, the amount of subsidy is deducted from taxes on products paid by them.
Classifications
22.77 The industrial classification introduced in the 2006-07 I-O tables is the Input-Output Industry Group (IOIG), which is based on the Australian and New Zealand Standard Industrial Classification, 2006 (see Appendix 1). ANZSIC06 is applied to the TAU that forms the starting point for the I-O industries.
22.78 Some I-O industries correspond to a single ANZSIC class, but it is not possible to have an industry for every class. The aim is to provide a balanced view of the structure of the economy, and to be able to compare the latest I-O tables with earlier versions.
22.79 In I-O tables produced prior to the 2001-02 tables, where practical, the process of 'redefinition of industries' was applied where units defined to an industry had significant production of products primary to another industry which had a different pattern of inputs. This secondary output was treated as output of the industry to which production was primary. This resulted in lower levels of secondary production than in tables compiled from the 2001-02 tables onwards when the redefinitions were ceased. The redefinitions affected mainly the trading activity of miners and manufacturers, which was redefined to retail and wholesale trade, and any significant manufacturing activity of wholesalers which was redefined to the appropriate manufacturing industry.
22.80 The product classification used in the I-O tables is the IOPC, which is based on the Central Product Classification (see Chapter 5 for more details). The IOPC is an industry-of-origin product classification that has been specifically developed for the compilation and application of Australian I-O tables. It is also consistent with ANZSIC06. As the I-O system describes the production and subsequent use of all goods and services, an I-O product classification needs to be defined in terms of characteristic products of industry sectors. The overall principles for the preparation of such an industry-of-origin product classification include:
- homogeneity of inputs – each product or product group should consist of items that have similar input structures or technology of production. This principle is generally applied through the definition of each IOPC item in terms of the ANZSIC industry in which it is mainly produced; and
- homogeneity of disposition – each product or product group, having satisfied the first criterion, should consist of items that have similar patterns of disposition or usage. This principle is applied by reference to the description of source data items and information about the transport, distribution and product taxation margins applying to specific products.
22.81 Details for the latest version of the product classification are available on the ABS website, including concordances to other classifications.
22.82 Much of the data that is used to populate the I-O tables is initially classified to other classifications. Therefore, concordances are required to map this data to the I-O classifications.
22.83 Concordances available on the website include IOPC to the CPI 17th series classification; IOIG to ANZSIC06; and IOIG to HEC.
The I-O approach to compiling the National Accounts
22.84 The 2008 SNA recommends use of the I-O framework for compiling basic data; integration of the I-O tables within the national accounts; and compilation of the tables at both current and constant prices. Currently, the I-O tables are compiled only in current prices, whereas the S-U tables are compiled in both sets of prices.
22.85 The 2008 SNA also recommends that commodity flows data (by-products of the goods and services account) should be compiled at least annually, and that these data should be fully consistent with other parts of the national accounts.
22.86 Chapter 14 of the 2008 SNA provides a description of the full I-O framework for compiling a set of national accounts. A distinction is drawn between S-U tables and analytical, or symmetric, I-O tables. The process of benchmarking the GDP account to balanced S-U tables is referred to as the I-O approach, and, since 1998, the Australian GDP account has been compiled using this approach. The S-U tables are compiled from 1994-95 onwards.
22.87 The GDP account provides three approaches to measuring gross domestic product: (a) summing the incomes generated by production; (b) summing final expenditures on commodities produced; and (c) summing the value added at each stage of production. I-O tables are a further disaggregation of the same three approaches and are compiled as the second stage of this process, when the S-U tables for a particular year are deemed to be final. Intermediate consumption is netted out from the GDP account; however, I-O tables bring these inter-industry flows of commodities back into focus, providing a more developed articulation of the process of economic production, structure and interrelationships of industries. An important feature of the I-O tables is that they are fully balanced matrices, which allow for data confrontation and the resolution of differences at a detailed level.
22.88 The S-U tables for each year are compiled three times: first preliminary tables; second preliminary tables; and final tables. The GDP account is benchmarked at each of these three stages. The benchmarked GDP account is published first in the September quarter issues of the ASNA. This strategy means that the quarterly accounts will never be projected more than eight quarters from a balanced set of annual accounts.
22.89 Up to and including the 2009-10 table, the Input-Output tables were based upon the second preliminary S-U tables, and released about 40 months after the reference period. Starting with the 2012-13 release the tables are based on the first preliminary tables S-U and released about 24 months after the reference year. This approach ensures the measures of current price annual GDP and its components are consistent between the S-U tables, the I-O tables and the GDP accounts published in Australian System of National Accounts at the time that the I-O tables are compiled.
22.90 As previously stated, I-O tables are not revised once they have been finalised, whereas the S-U tables and the GDP accounts may be revised for all periods whenever an historical revision is undertaken, and are therefore a consistent time series. This difference allows more flexibility to incorporate changes in the I-O tables which are not produced as time series while structural changes in S-U tables can only be incorporated during historical revisions.
22.91 Changes made in the I-O tables resulting from the balancing process are incorporated in the rest of the national accounts via the S-U framework. The S-U tables incorporate changes resulting from the I-O balancing process either during the compilation phase prior to the finalisation of the S-U tables or during a historical revision.
Sources and methods
Data sources
22.92 S-U tables are the starting point for compiling the Australian I-O tables. They are used to balance the three measures of GDP, and provide the annual benchmarks from which quarterly estimates are compiled. See chapters 9 to 11 for details on how the those benchmarks are compiled.
22.93 The Economic Activity Survey is the primary data source used to compile gross value added in the supply-use tables; however, it does not support the level of product detail required to compile the input-output tables. Therefore, the EAS data is supplemented by a program of targeted industry case studies, whereby companies are interviewed for detailed information that is used to improve product-level data on supply and intermediate use.
22.94 This section details how the supply-use tables are initially disaggregated from the SUPC and SUIC levels to IOPC and IOIG levels. It is useful to summarise some of the issues faced by compilers in the table below, including sources used in compiling the supply-use tables.
Item | Comment |
---|---|
Output | |
Output is the production of goods and services for use as inputs into the production process of an industry, or as final demand. Own production and use of some energy products and transportation not separately invoiced are not shown separately and are included as part of an industry’s output. The main data sources used to compile output in the supply-use tables are the Economic Activity Survey, Government Finance Statistics and the Australian Prudential Regulatory Authority. Industry-specific data sources may also be used. Chapter 9 outlines, in detail, the data sources and methods used to compile output by industry. A number of adjustments are made to the source EAS data in the supply-use tables, namely:
| |
Intermediate consumption | |
Intermediate consumption consists of the value of goods and services consumed as inputs to the production process. The main data sources used to compile intermediate consumption in the supply-use tables are the Economic Activity Survey and Government Finance Statistics. A number of adjustments are made to the source EAS data in the supply-use tables, namely:
| |
Household final consumption expenditure | |
Household final consumption expenditure consists of the expenditure incurred by households on individual consumption goods and services. The HFCE benchmark data is sourced from the periodic Retail and Wholesale Industry Surveys and the Household Expenditure Survey. The annual estimate is the sum of the four quarters for years when the RISWIS and HES data are not available. Between survey years, the Retail Trade survey is used as an indicator for merchandise items, and a range of relevant indicators are used for services (see Chapter 10 for more detail). | |
Government final consumption expenditure | |
Government final consumption expenditure consists of the expenditure incurred by general government on both individual consumption goods and services and collective consumption services. The main data source used to compile GFCE in the supply-use tables is the Government Finance Statistics. GFS data are classified according to the Classification of the Functions of Government - Australia. | |
Gross fixed capital formation | |
Gross fixed capital formation is equal to the total value of a producer’s acquisitions, less disposals, of fixed assets plus capital work done on own account plus certain additions to the value of non-produced assets realised by the productive activity of institutional units (i.e. land improvements). Estimates of GFCF are primarily disaggregated between the private and public sectors. There are a range of data sources used to compile private GFCF in the supply-use tables, including:
The main data source used to compile public GFCF in the Supply-Use tables is the Government Finance Statistics. GFCF is classified by type of asset. | |
Changes in inventories | |
Changes in inventories are defined to include changes in holdings of goods for sale (whether of own production or purchased for resale), work-in-progress and raw materials to be used as intermediate inputs into production. The main data sources used to compile total changes in inventories in the supply-use tables are the Economic Activity Survey and Government Finance Statistics. | |
Exports of goods and services | |
Exports of goods and services are defined as being domestically produced output acquired by non-residents. The primary source used to compile exports of goods is the ABS International Merchandise Trade Statistics. Balance of Payments adjustments to coverage, timing and valuation are applied, using data from the Survey of International Transport Enterprises, the Reserve bank of Australia and the Survey of International Trade in Services. The principal sources used to compile exports of services are the ABS International Merchandise Trade Statistics, the cost, insurance and freight/free on board (c.i.f./f.o.b.) model and the Survey of International Trade in Services. | |
Imports of goods and services | |
Imports of goods and services are defined as being the outputs produced by non-residents but acquired by residents. The principal source used to compile imports of goods is the ABS International Trade Statistics. Balance of Payments adjustments to coverage, timing and valuation are applied, using data from the Survey of International Transport Enterprises; Reserve Bank of Australia; and the Survey of International Trade in Services. The principal sources used to compile imports of services are the ABS International Merchandise Trade Statistics; the c.i.f./f.o.b. model; and the Survey of International Trade in Services. | |
Compensation of employees | |
Compensation of employees is defined as being the total remuneration, in cash or in kind, payable to an employee in return for work done. It comprises wages and salaries and employers' social contributions. The main data sources used to compile compensation of employees in the supply-use tables are the Economic Activity Survey; Survey of Employment and Earnings; Survey of Major Labour Costs; and the Australian Prudential Regulatory Authority. | |
Gross operating surplus/gross mixed income | |
Gross operating surplus is defined as being the income from production of corporate enterprises, while gross mixed income is the income from production of unincorporated enterprises. GOS is calculated as gross value added less compensation of employees less net taxes on production and imports for all industries/institutional sectors except:
GMI is derived as the residual once all of the other institutional sectors GOS is estimated (i.e. private non-financial corporations, public non-financial corporations, general government and financial corporations GOS). | |
Taxes less subsidies on production and imports | |
Taxes on production and imports consist of taxes on products (i.e. taxes on goods and services when they are produced, delivered or sold and duties on imports) and other taxes on production (i.e. taxes related to the payroll, land taxes, taxes on pollution, stamp duties (not including those on real estate or road vehicles), etc.). Subsidies on production consist of subsides on products (i.e. subsidies on goods and services when they are produced, delivered or sold) and other subsidies on production (i.e. subsidies related to the payroll or workforce). The main data source used to compile taxes less subsidies on production and imports in the supply-use tables is the Government Finance Statistics. |
Changes made to classifications
From 03/04/2024 GFS data are classified according to the Classification of the Functions of Government- Australia (COFOG-A). Previously this publication stated that GFS data was classified according to the General Purpose Classification (GPC) and the Local Government Purpose Classification (LGPC).
Table 22.6 prior to 04/03/2024 update
The I-O compilation process
22.95 The I-O compilation begins with the finalisation of the S-U tables, when the balanced S-U levels are disaggregated to I-O levels. This results in unbalanced I-O tables which are then balanced using the product flow method. The product flow method involves a number of steps followed by a quality assessment process at strategic points to check data quality and consistency.
22.96 The figure below shows the steps undertaken in the I-O compilation process. The steps are then described in more detail.
Figure 22.1 the I-O compilation process
Step | Data | I-O Process | |||||||
---|---|---|---|---|---|---|---|---|---|
1 | Balanced S-U tables | Previous I-O tables | Collect data | ||||||
↓ | ↓ | ||||||||
2 | Reconcilation and Disaggregation | Disaggregate data to IPOC level | |||||||
↓ | |||||||||
3 | Initial tables at IOPC level | Implement adjustments identified in initial analysis of raw data - Run Quality Gate checks. | |||||||
↓ | |||||||||
4 | Industry level analysis of data | Implement adjustments resulting from industry analysis - Run Quality Gate checks. | |||||||
↓ | |||||||||
5 | Row balancing at Purchaser's Prices | Implement adjustments as a result of row balancing - Run Quality Gate checks. | |||||||
↓ | |||||||||
6 | Run compilation process to allocate taxes, margins and subsidies to Use categories, rebalance rows at Basic prices using a proportional iterative fitting process to modify Intermediate use of data. | Implement adjustments to resolve balancing issues at Basis prices - Run Quality Gate checks. | |||||||
↓ | |||||||||
7 | Produce basic and derived I-O tables | Run quality gate checks on released tables | |||||||
↓ | |||||||||
8 | Disseminate I-O release, Alternative view tables and Product details release. | Release tables via website |
Step 1: Collect source data
22.97 Obtain the S-U tables and previous I-O tables.
Step 2: Reconciliation and disaggregation
22.98 Balanced S-U tables are disaggregated in order to populate the I-O tables, ensuring consistency with the rest of national accounts published aggregates.
22.99 Much of the initial data used to populate the S-U tables is classified at the IOPC and IOIG levels, and then aggregated to the SUPC and SUIC levels. It is at this level that the balancing process of the S-U table is undertaken in order to produce balanced GDP estimates for the national accounts. It is necessary to then disaggregate the S-U products and industries to the I-O level in order to begin production of the I-O tables.
22.100 The disaggregation of the S-U level to the I-O level does not necessarily result in the same I-O distribution, compared with the initial I-O level data. This is due to the balancing being undertaken at the S-U level, and any adjustments made at that level may result in a different S-U level total than the initial total. This difference has to be distributed back to the I-O level and is done in several ways, depending on the component.
22.101 The following table outlines how the S-U level components are disaggregated to the I-O level.
Industry | Supply | Intermediate consumption | |
---|---|---|---|
Agriculture, forestry and fishing | |||
Agriculture | |||
Economic Activity Survey ANZSIC class-level data are mapped to Input-Output Product Classifications using weights derived from Value of Agricultural Commodities Produced, Australia product data and previously published I-O weights. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Forestry, aquaculture, fishing, hunting, trapping and services to agriculture, forestry and fishing | |||
EAS ANZSIC class-level data are mapped directly to the primary Input-Output Product Groups. IOPG data are then mapped to IOPC using weights derived from previously published I-O data. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Agriculture, forestry and fishing support services | |||
EAS ANZSIC class-level data are mapped to primary Input-Output Product Groups. IOPG data are then mapped to IOPC using weights derived from previously published I-O data except for data supplied directly from source data at the IOPC level (e.g. ABARES ginned cotton). Any adjustments made during the SU balancing process are split back to IOPC based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Mining | |||
All except exploration and mining support services | |||
State Mines product detail is mapped directly to IOPC. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Exploration and mining support services | |||
IOPC detail is a combination of EAS, Mineral Exploration and Petroleum Exploration data. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Manufacturing | |||
EAS ANZSIC class-level data are mapped to IOIGs and then split into primary IOPCs according to historical weights and the EAS data items. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Electricity, gas, water and water services | |||
EAS ANZSIC class-level data are mapped to IOIGs and then split into primary IOPCs according to historical weights and the EAS data items. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Construction | |||
EAS ANZSIC class-level data are mapped to IOIGs and then split into primary IOPCs according to historical weights adjusted for the movement in the Building Activity and Engineering Construction surveys. As the SUPC and IOPC are a one-to-one match, any adjustments made during the S-U balancing process are applied directly back to the IOPCs. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Wholesale trade | |||
EAS ANZSIC class-level data are used to derive output which is mapped to IOPC based on historical proportions from previous retail and wholesale industry surveys and weights derived from previously balanced I-O tables. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Retail trade | |||
EAS ANZSIC class-level data are used to derive output which is mapped to IOPC based on historical proportions from previous retail and wholesale industry surveys and weights derived from previously balanced I-O tables. Any adjustments made during the S-U balancing are split back to the IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Accommodation and food services | |||
EAS ANZSIC class-level data are mapped to primary IOPCs. Proportions are derived from ABS publications: Accommodation Services, Australia, Clubs, Pubs, Taverns and Bars, Australia and Cafes, Restaurants and Catering Services, Australia. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Transport, postal and warehousing | |||
EAS ANZSIC class-level data are mapped to IOIGs and then split into primary IOPCs according to historical weights. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Information media and telecommunications | |||
EAS ANZSIC class-level data are mapped to IOIGs and then split into primary IOPCs using previously balanced I-O tables weights. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Financial and insurance services | |||
Finance and Insurance and superannuation funds | |||
Data are compiled at the IOPC level. For details on the sources and methods used to compile finance and insurance and superannuation funds output data see Table 9.21 ANNUAL GROSS VALUE ADDED BY INDUSTRY—Finance services, subdivision 62 and Table 9.22 ANNUAL GROSS VALUE ADDED BY INDUSTRY—Insurance and superannuation funds, subdivision 63. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Finance and insurance services | |||
EAS ANZSIC class-level data are mapped to IOIGs and then split into primary IOPCs using weights from previously balanced I-O tables. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Rental, hiring and real estate services, except ownership of dwellings | |||
EAS ANZSIC class-level data are mapped to primary IOPCs according to historical weights. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Professional, scientific and technical services | |||
EAS ANZSIC class-level data are mapped to IOIGs and then split into primary IOPCs according to previous balanced I-O table weights. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Administrative and supportive services | |||
EAS ANZSIC class-level data are mapped to IOIGs and then split into primary IOPCs according to previous balanced I-O table weights. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Public administration and safety | |||
Government Finance Statistics gross expenditure data is classified according to the Classification of the Functions of Government - Australia. COFOG-A is mapped to the IOPC based on historical I-O weights and aggregated to the SUPC level. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Education and training | |||
Government Finance Statistics gross expenditure data is classified according to the Classification of the Functions of Government - Australia. COFOG-A is mapped to the IOPC based on historical I-O weights and aggregated to the SUPC level. ACARA and EAS ANZSIC class-level data are mapped to IOIGs and then split directly into primary IOPCs except for ANZSIC Class 8023 Combined primary and secondary education, which is split evenly between primary and secondary education services. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Health care and social assistance | |||
Supply is derived using the demand-side approach which sums the intermediate consumption of health and social assistance related products and final demand (i.e. final consumption expenditure, and exports less imports). These data are compiled at the IOPC level. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Arts and recreation services | |||
Arts and recreations services, except gambling | |||
EAS data by ANZSIC Class level and institutional sector are mapped to primary IOPCs according to historical weights. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Gambling | |||
Supply is derived using the demand-side approach which sums the intermediate consumption of gambling products and final demand (i.e. final consumption expenditure, and exports less imports). These data are compiled at the IOPC level. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Other services | |||
Repairs and maintenance | |||
EAS ANZSIC class-level data are mapped to IOIGs and then split into primary IOPCs according to historical weights and the EAS data items. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Personal and other services | |||
Supply is derived using the demand-side approach which sums the intermediate consumption of personal and other services products and final demand (i.e. final consumption expenditure, and exports less imports). These data are compiled at the IOPC level. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Ownership of dwellings | |||
Estimates for actual and imputed rental, consumption of fixed capital and trade data are all compiled at the IOPC level. The output of residential caravan parks is derived using the movement in service income from the EAS data for this ANZSIC class and applied to the estimate of the previous year. Any adjustments made during the S-U balancing process are split back to IOPCs based on the original IOPC proportions. | Intermediate consumption is disaggregated to the IOIG and IOPC level based on the final total intermediate use matrix from the previous year's I-O tables. | ||
Taxes less subsidies on products | |||
Government Finance Statistics data classified by purpose and tax type are mapped to the I-O level using historical weights and other observed taxation statistics data. Data are compiled at the IOPC level and aggregated to SUPC for SU tables. Taxes are not adjusted during the S-U balancing process. | |||
Trade and transport Margins | |||
The most recent I-O Table’s distribution of margin by IOPC for each margin type is used to allocate each margin to a product. |
Changes made to classifications
From 03/04/2024 for Public administration and safety and Education and training, GFS gross expenditure data is classified according to the Classification of the Functions of Government- Australia (COFOG-A). Previously this publication stated that GFS data was classified according to the Government Purpose Classification (GPC).
For supply of Education and training, ACARA and EAS ANZSIC class-level data are mapped to IOIGs and then split directly into primary IOPCs. Previously only EAS ANZSIC class-level data was mapped to IOIGs.
Table 22.7 prior to 04/03/2024 update
Item | Disaggregation method |
---|---|
Household final consumption expenditure | |
HFCE data are compiled according to the Classification of Individual Consumption by Purpose and is disaggregated to IOPC level based on balanced S-U table and previous year’s I-O table. Any adjustments made through the S-U balancing process are applied to the appropriate IOPC based on the intelligence for the decision. If detailed information is not known, it is allocated based on previously balanced I-O tables. | |
Government final consumption expenditure | |
GFCE data are compiled according to the Classification of the Functions of Government - Australia , which is mapped to IOPC using historical input-output weights and aggregated for the S-U tables. Any adjustments made during the S-U balancing process are applied to the appropriate IOPC based on the intelligence for the decision. If detailed information is not known, it is allocated based on previous I-O tables. | |
Gross fixed capital formation | |
GFCF data are compiled according to asset type by sector. With the exception of machinery and equipment, all asset types align with the IOPC. Machinery and equipment is disaggregated to the IOPC level based on previous years’ I-O tables, and converted into current-year prices using price indexes. Any adjustments applied during the balancing process are based on an informed assessment of how and why the imbalance has occurred. In cases where the required level of detail cannot be sourced, the allocation is based on previously-balanced I-O tables or the original proportions of the correspondence. | |
Changes in inventories | |
Changes in inventories is distributed across IOPCs based on how changes in inventories is distributed across IOPCs in the latest set of balanced I-O tables. | |
Exports of goods and services | |
International trade data is mapped to the IOPC using the Australian Harmonised Export Commodity Classification (AHECC to IOPC correspondence). Further adjustments based on Balance of Payments data are made to the relevant IOPCs where appropriate. Further adjustments at the IOPC level may be required for product and industry balancing purposes. All such adjustments are offset to ensure that total exports remain unchanged. | |
Imports of goods and services | |
International Trade data is mapped to the IOPC using the Harmonised Tariff Item Statistical Classification (HTISC to IOPC correspondence). Further adjustments based on Balance of Payments data are made to the relevant IOPCs where appropriate. Further adjustments at the IOPC level may be required for product and industry balancing purposes. All such adjustments are offset to ensure that total imports remain unchanged. |
Changes made to classifications
From 03/04/2024 for Government final consumption expenditure, GFS gross expenditure data is classified according to the Classification of the Functions of Government- Australia (COFOG-A). Previously this publication stated that GFS data was classified according to the Government Purpose Classification (GPC).
Table 22.8 prior to 04/03/2024 update
Industry/Item | Compensation of employees | Gross operating surplus/Gross mixed income | Other taxes less subsidies on production |
---|---|---|---|
Agriculture, forestry and fishing | |||
Data from the EAS are received at ANZSIC class level and then aggregated to IOIG. Data received at the ANZSIC division level (e.g. government data, payment in kind and fringe benefits tax) are disaggregated to IOIG level using proportions based on either general government output or EAS wages data as appropriate. Data are combined at the IOIG level initially and subsequently aggregated to SUIC. Any adjustments made during the S-U balancing process are disaggregated to the relevant IOIG level based on industry evidence. | Gross operating surplus/Gross mixed income (GOS/GMI) is derived differently depending on the sector. For the private non-financial corporations sector and unincorporated enterprises GOS/GMI is derived from the EAS data as a residual. GOS for NPISH units and general government units is equivalent to consumption of fixed capital. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. Any adjustments made to GOS/GMI for the private non-financial corporations sector during S-U Table balancing process are allocated to IOIGs using IOIG proportions when originally compiled. | Data are compiled at the IOIG level and aggregated to the SUIC level for the S-U tables. Government Finance Statistics data is classified by purpose and tax type, which are then mapped to the IOPC level using historical weights and other observed taxation statistics data. | |
Mining | |||
Data from the EAS are received at ANZSIC class level and then aggregated to IOIG. Data received at the ANZSIC division level (e.g. government data, payment in kind and fringe benefits tax) are disaggregated to IOIG level using proportions based on either general government output or EAS wages data as appropriate. Data are combined at the IOIG level initially and subsequently aggregated to SUIC. Any adjustments made during the S-U balancing process are disaggregated to the relevant IOIG based on industry evidence. | Gross operating surplus/Gross mixed income (GOS/GMI) is derived differently depending on the sector. For the private non-financial corporations sector and unincorporated enterprises GOS/GMI is derived from the EAS data as a residual. GOS for NPISH units and general government units is equivalent to consumption of fixed capital. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. Any adjustments made to GOS/GMI for the private non-financial corporations sector during S-U Table balancing process are allocated to IOIGs using the output proportions. | Data are compiled at the IOIG level and aggregated to the SUIC level for the S-U tables. Government Finance Statistics data is classified by purpose and tax type which are then mapped to the IOPC level using historical weights and other observed taxation statistics data. | |
Manufacturing | |||
Data from the EAS are received at ANZSIC class level and then aggregated to IOIG. Data received at the ANZSIC division level (e.g. government data, payment in kind and fringe benefits tax) are disaggregated to IOIG level using proportions based on either general government output or EAS wages data as appropriate. Data are combined at the IOIG level initially and subsequently aggregated to SUIC. Any adjustments made during the S-U balancing process are disaggregated to the relevant IOIG based on industry evidence. | Gross operating surplus/Gross mixed income (GOS/GMI) is derived differently depending on the sector. For the private non-financial corporations sector and unincorporated enterprises GOS/GMI is derived from the EAS data as a residual. GOS for NPISH units and general government units is equivalent to consumption of fixed capital. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. Any adjustments made to GOS/GMI for the private non-financial corporations sector during the S-U Table balancing process are allocated to IOIGs using IOIG proportions from when originally compiled. | Data are compiled at the IOIG level and aggregated to the SUIC level for the S-U tables. Government Finance Statistics data is classified by purpose and tax type which are then mapped to the IOPC level using historical weights and other observed taxation statistics data. | |
Electricity, gas, water and water services | |||
Data from the EAS are received at ANZSIC class level and then aggregated to IOIG. Data received at the ANZSIC division level (e.g. government data, payment in kind and fringe benefits tax) are disaggregated to IOIG level using proportions based on either general government output or EAS wages data as appropriate. Data are combined at the IOIG level initially and subsequently aggregated to SUIC. Any adjustments made during the S-U balancing process are disaggregated to the relevant IOIG based on industry evidence. | Gross operating surplus/Gross mixed income (GOS/GMI) is derived differently depending on the sector. For the private non-financial corporations sector and unincorporated enterprises GOS/GMI is derived from the EAS data as a residual. GOS for NPISH units and general government units is equivalent to consumption of fixed capital. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. Any adjustments made to GOS/GMI for the private non-financial corporations sector during the S-U Table balancing process are allocated to IOIGs using IOIG proportions from when originally compiled. | Data are compiled at the IOIG level and aggregated to the SUIC level for the S-U tables. Government Finance Statistics data is classified by purpose and tax type which are then mapped to the IOPC level using historical weights and other observed taxation statistics data. | |
Construction | |||
Data from the EAS are received at ANZSIC class level and then aggregated to IOIG. Data received at the ANZSIC division level (e.g. government data, payment in kind and fringe benefits tax) are disaggregated to IOIG level using proportions based on either general government output or EAS wages data as appropriate. Data are combined at the IOIG level initially and subsequently aggregated to SUIC. Any adjustments made during the S-U balancing process are disaggregated to the relevant IOIG based on industry evidence. | Gross operating surplus/Gross mixed income (GOS/GMI) is derived differently depending on the sector. For the private non-financial corporations sector and unincorporated enterprises GOS/GMI is derived from the EAS data as a residual. GOS for NPISH units and general government units is equivalent to consumption of fixed capital. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. Any adjustments made to GOS/GMI for the private non-financial corporations sector during the S-U Table balancing process are allocated to IOIGs using IOIG proportions from when originally compiled. | Data are compiled at the IOIG level and aggregated to the SUIC level for the S-U tables. Government Finance Statistics data is classified by purpose and tax type which are then mapped to the IOPC level using historical weights and other observed taxation statistics data. | |
Wholesale trade | |||
Data from the EAS are received at ANZSIC class level and then aggregated to IOIG. Data received at the ANZSIC division level (e.g. government data, payment in kind and fringe benefits tax) are disaggregated to IOIG level using proportions based on either general government output or EAS wages data as appropriate. Data are combined at the IOIG level initially and subsequently aggregated to SUIC. Any adjustments made during the S-U balancing process are disaggregated to the relevant IOIG based on industry evidence. | Gross operating surplus/Gross mixed income (GOS/GMI) is derived differently depending on the sector. For the private non-financial corporations sector and unincorporated enterprises GOS/GMI is derived from the EAS data as a residual. GOS for NPISH units and general government units is equivalent to consumption of fixed capital. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. Any adjustments made to GOS/GMI for the private non-financial corporations sector during S-U Table balancing process are allocated to IOIGs directly as SUICs and IOIGs have a one-to-one relationship. | Data are compiled at the IOIG level and aggregated to the SUIC level for the S-U tables. Government Finance Statistics data is classified by purpose and tax type which are then mapped to the IOPC level using historical weights and other observed taxation statistics data. | |
Retail trade | |||
Data from the EAS are received at ANZSIC class level and then aggregated to IOIG. Data received at the ANZSIC division level (e.g. government data, payment in kind and fringe benefits tax) are disaggregated to IOIG level using proportions based on either general government output or EAS wages data as appropriate. Data are combined at the IOIG level initially and subsequently aggregated to SUIC. Any adjustments made during the S-U balancing process are disaggregated to the relevant IOIG based on industry evidence. | Gross operating surplus/Gross mixed income (GOS/GMI) is derived differently depending on the sector. For the private non-financial corporations sector and unincorporated enterprises GOS/GMI is derived from the EAS data as a residual. GOS for NPISH units and general government units is equivalent to consumption of fixed capital. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. Any adjustments made to GOS/GMI for the private non-financial corporations sector during S-U Table balancing process are allocated to IOIGs directly as SUICs and IOIGs have a one-to-one relationship. | Data are compiled at the IOIG level and aggregated to the SUIC level for the S-U tables. Government Finance Statistics data is classified by purpose and tax type which are then mapped to the IOPC level using historical weights and other observed taxation statistics data. | |
Accommodation and food services | |||
Data from the EAS are received at ANZSIC class level and then aggregated to IOIG. Data received at the ANZSIC division level (e.g. government data, payment in kind and fringe benefits tax) are disaggregated to IOIG level using proportions based on either general government output or EAS wages data as appropriate. Data are combined at the IOIG level initially and subsequently aggregated to SUIC. Any adjustments made during the S-U balancing process are disaggregated to the relevant IOIG based on industry evidence. | Gross operating surplus/Gross mixed income (GOS/GMI) is derived differently depending on the sector. For the private non-financial corporations sector and unincorporated enterprises GOS/GMI is derived from the EAS data as a residual. GOS for NPISH units and general government units is equivalent to consumption of fixed capital. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. Any adjustments made to GOS/GMI for the private non-financial corporations sector during S-U Table balancing process are allocated to IOIGs directly as SUICs and IOIGs have a one-to-one relationship. | Data are compiled at the IOIG level and aggregated to the SUIC level for the S-U tables. Government Finance Statistics data is classified by purpose and tax type which are then mapped to the IOPC level using historical weights and other observed taxation statistics data. | |
Transport, postal and warehousing | |||
Data from the EAS are received at ANZSIC class level and then aggregated to IOIG. Data received at the ANZSIC division level (e.g. government data, payment in kind and fringe benefits tax) are disaggregated to IOIG level using proportions based on either general government output or EAS wages data as appropriate. Data are combined at the IOIG level initially and subsequently aggregated to SUIC. Any adjustments made during the S-U balancing process are disaggregated to the relevant IOIG based on industry evidence. | Gross operating surplus/Gross mixed income (GOS/GMI) is derived differently depending on the sector. For the private non-financial corporations sector and unincorporated enterprises GOS/GMI is derived from the EAS data as a residual. GOS for NPISH units and general government units is equivalent to consumption of fixed capital. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. Any adjustments made to GOS/GMI for the private non-financial corporations sector during the S-U Table balancing process are allocated to IOIGs using IOIG proportions from when originally compiled. | Data are compiled at the IOIG level and aggregated to the SUIC level for the S-U tables. Government Finance Statistics data is classified by purpose and tax type which are then mapped to the IOPC level using historical weights and other observed taxation statistics data. | |
Information media and telecommunications | |||
Data from the EAS are received at ANZSIC class level and then aggregated to IOIG. Data received at the ANZSIC division level (e.g. government data, payment in kind and fringe benefits tax) are disaggregated to IOIG level using proportions based on either general government output or EAS wages data as appropriate. Data are combined at the IOIG level initially and subsequently aggregated to SUIC. Any adjustments made during the S-U balancing process are disaggregated to the relevant IOIG based on industry evidence. | Gross operating surplus/Gross mixed income (GOS/GMI) is derived differently depending on the sector. For the private non-financial corporations sector and unincorporated enterprises GOS/GMI is derived from the EAS data as a residual. GOS for NPISH units and general government units is equivalent to consumption of fixed capital. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. Any adjustments made to GOS/GMI for the private non-financial corporations sector during S-U Table balancing process are allocated to IOIGs directly as SUICs and IOIGs have a one-to-one relationship. | Data are compiled at the IOIG level and aggregated to the SUIC level for the S-U tables. Government Finance Statistics data is classified by purpose and tax type which are then mapped to the IOPC level using historical weights and other observed taxation statistics data. | |
Financial and insurance services | |||
There is a one-to-one mapping between the IOIG and SUIC for this industry. This means that movements at the IOIG level are consistent with those in the S-U table benchmarks. Tables 11.1 and 11.2 provide details on the sources and methods used to compile COE for financial corporations. | For SUIC 620 Finance and SUIC 630 Insurance and Superannuation Funds, GOS is compiled from source data at IOIG level. For SUIC 640 Auxiliary Finance and Insurance Services, GOS is derived as a residual item from EAS data, also at the IOIG level. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. | Data are compiled at the IOIG level and aggregated to the SUIC level for the S-U tables. Government Finance Statistics data is classified by purpose and tax type which are then mapped to the IOPC level using historical weights and other observed taxation statistics data. | |
Rental, hiring and real estate services, except ownership of dwellings | |||
Data from the EAS are received at ANZSIC class level and then aggregated to IOIG. Data received at the ANZSIC division level (e.g. government data, payment in kind and fringe benefits tax) are disaggregated to IOIG level using proportions based on either general government output or EAS wages data as appropriate. Data are combined at the IOIG level initially and subsequently aggregated to SUIC. Any adjustments made during the S-U balancing process are disaggregated to the relevant IOIG based on industry evidence. | Gross operating surplus/Gross mixed income (GOS/GMI) is derived differently depending on the sector. For the private non-financial corporations sector and unincorporated enterprises GOS/GMI is derived from the EAS data as a residual. GOS for NPISH units and general government units is equivalent to consumption of fixed capital. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. Any adjustments made to GOS/GMI for the private non-financial corporations sector during S-U Table balancing process are allocated to IOIGs directly as SUICs and IOIGs have a one-to-one relationship. | Data are compiled at the IOIG level and aggregated to the SUIC level for the S-U tables. Government Finance Statistics data is classified by purpose and tax type which are then mapped to the IOPC level using historical weights and other observed taxation statistics data. | |
Professional, scientific and technical services | |||
Data from the EAS are received at ANZSIC class level and then aggregated to IOIG. Data received at the ANZSIC division level (e.g. government data, payment in kind and fringe benefits tax) are disaggregated to IOIG level using proportions based on either general government output or EAS wages data as appropriate. Data are combined at the IOIG level initially and subsequently aggregated to SUIC. Any adjustments made during the S-U balancing process are disaggregated to the relevant IOIG based on industry evidence. | Gross operating surplus/Gross mixed income (GOS/GMI) is derived differently depending on the sector. For the private non-financial corporations sector and unincorporated enterprises GOS/GMI is derived from the EAS data as a residual. GOS for NPISH units and general government units is equivalent to consumption of fixed capital. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. Any adjustments made to GOS/GMI for the private non-financial corporations sector during S-U Table balancing process are allocated to IOIGs directly as SUICs and IOIGs have a one-to-one relationship. | Data are compiled at the IOIG level and aggregated to the SUIC level for the S-U tables. Government Finance Statistics data is classified by purpose and tax type which are then mapped to the IOPC level using historical weights and other observed taxation statistics data. | |
Administrative and supportive services | |||
Data from the EAS are received at ANZSIC class level and then aggregated to IOIG. Data received at the ANZSIC Division level (e.g. government data, payment in kind and fringe benefits tax) are disaggregated to IOIG level using proportions based on either general government output or EAS wages data as appropriate. Data are combined at the IOIG level initially and subsequently aggregated to SUIC. Any adjustments made during the S-U balancing process are disaggregated to the relevant IOIG based on industry evidence. | Gross operating surplus/Gross mixed income (GOS/GMI) is derived differently depending on the sector. For the private non-financial corporations sector and unincorporated enterprises GOS/GMI is derived from the EAS data as a residual. GOS for NPISH units and general government units is equivalent to consumption of fixed capital. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. Any adjustments made to GOS/GMI for the private non-financial corporations and unincorporated enterprises during S-U Table balancing process are allocated to IOIGs using IOIG proportions when originally compiled. | Data are compiled at the IOIG level and aggregated to the SUIC level for the S-U tables. Government Finance Statistics data is classified by purpose and tax type which are then mapped to the IOPC level using historical weights and other observed taxation statistics data. | |
Public administration and safety | |||
For SUIC 750 Government administration and regulatory services and 770 Public Order and Safety, data from the EAS are received at ANZSIC class level and then aggregated to IOIG. Government data are received at the ANZSIC division level and are disaggregated between these two IOIGs using their proportions of general government output. For SUIC 760 Defence, defence wages and salaries are mapped directly to this IOIG. Other data received or calculated at an ANZSIC division level (e.g. payment in kind and Fringe Benefits Tax) are disaggregated to IOIG level using either general government output or EAS wages data as appropriate. Data are combined at the IOIG level initially and subsequently aggregated to SUIC. | General government GOS is equivalent to the value of consumption of fixed capital on general government assets as derived in the Perpetual Inventory Method. This division contains minimal private non-financial corporations GOS. It is derived directly from EAS ANZSIC class-level data. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. Any adjustments made to GOS/GMI for the private non-financial corporations sector during S-U Table balancing process are allocated to IOIGs directly as SUICs and IOIGs have a one-to-one relationship. | Data are compiled at the IOIG level and aggregated to the SUIC level for the S-U tables. Government Finance Statistics data is classified by purpose and tax type which are then mapped to the IOPC level using historical weights and other observed taxation statistics data. | |
Education and training | |||
Data from the EAS are received at ANZSIC class level and then aggregated to IOIG. Data received at the ANZSIC division level (e.g. government data, payment in kind and fringe benefits tax) are disaggregated to IOIG level using proportions based on either general government output or EAS wages data as appropriate. Data are combined at the IOIG level initially and subsequently aggregated to SUIC. Any adjustments made during the S-U balancing process are disaggregated to the relevant IOIG based on industry evidence. | Gross operating surplus/Gross mixed income (GOS/GMI) is derived differently depending on the sector. For the private non-financial corporations sector and unincorporated enterprises GOS/GMI is derived from the EAS data as a residual. GOS for NPISH units and general government units is equivalent to consumption of fixed capital. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. Any adjustments made to GOS/GMI for the private non-financial corporations sector during S-U Table balancing process are allocated to IOIGs directly as SUICs and IOIGs have a one-to-one relationship. | Data are compiled at the IOIG level and aggregated to the SUIC level for the S-U tables. Government Finance Statistics data is classified by purpose and tax type which are then mapped to the IOPC level using historical weights and other observed taxation statistics data. | |
Health care and social assistance | |||
Data from the EAS are received at ANZSIC class level and then aggregated to IOIG. Data received at the ANZSIC division level (e.g. government data, payment in kind and fringe benefits tax) are disaggregated to IOIG level using proportions based on either general government output or EAS wages data as appropriate. Data are combined at the IOIG level initially and subsequently aggregated to SUIC. Any adjustments made during the S-U balancing process are disaggregated to the relevant IOIG based on industry evidence. | Gross operating surplus (GOS) and gross mixed income is taken from 5204.0 (Total Factor Income by Industry and principal components – Current prices) at division level. General Government GOS is subtracted from the division level GOS/GMI to derive private GOS/GMI for the division. Private GOS/GMI for the division is then split by ratios based on the General Government GOS at IOIG level Any adjustments made to GOS private during S-U Table balancing are allocated to IOIGs using IOIG proportions when originally compiled. | Data are compiled at the IOIG level and aggregated to the SUIC level for the S-U tables. Government Finance Statistics data is classified by purpose and tax type which are then mapped to the IOPC level using historical weights and other observed taxation statistics data. | |
Arts and recreation services | |||
Data from the EAS are received at ANZSIC class level and then aggregated to IOIG. Data received at the ANZSIC division level (e.g. government data, payment in kind and fringe benefits tax) are disaggregated to IOIG level using proportions based on either general government output or EAS wages data as appropriate. Data are combined at the IOIG level initially and subsequently aggregated to SUIC.
Any adjustments made during the S-U balancing process are disaggregated to the relevant IOIG based on industry evidence. | For the Arts and recreation services division (except Gambling), gross operating surplus/gross mixed income (GOS/GMI) is derived differently depending on the sector. For the private non-financial corporations sector and unincorporated enterprises GOS/GMI is derived from the EAS data as a residual. GOS for NPISH units and general government units is equivalent to consumption of fixed capital. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. For IOIG 9201 Gambling, gross operating surplus (GOS) and gross mixed income (GMI) is taken from 5204.0 (Total Factor Income by industry and principal components - Current prices) at division level. General Government GOS is subtracted from this to derive private GOS/GMI for the division. Private GOS/GMI by IOIG is then calculated from the division total using supply ratios. Any adjustments made to GOS/GMI for private non-financial corporations and unincorporated enterprises during S-U Table balancing process are allocated to IOIGs automatically as the SUICs and IOIGs have a one-to-one relationship. | Data are compiled at the IOIG level and aggregated to the SUIC level for the S-U tables. Government Finance Statistics data is classified by purpose and tax type which are then mapped to the IOPC level using historical weights and other observed taxation statistics data. | |
Other services | |||
Data from the EAS are received at ANZSIC class level and then aggregated to IOIG. Data received at the ANZSIC division level (e.g. government data, payment in kind and fringe benefits tax) are disaggregated to IOIG level using proportions based on either general government output or EAS wages data as appropriate. Data are combined at the IOIG level initially and subsequently aggregated to SUIC.
Any adjustments made during the S-U balancing process are disaggregated to the relevant IOIG based on industry evidence. | For SUIC 940 Repair and Maintenance, gross operating surplus/gross mixed income (GOS/GMI) is derived differently depending on the sector. For the private non-financial corporations sector and unincorporated enterprises GOS/GMI is derived from the EAS data as a residual. GOS for NPISH units and general government units is equivalent to consumption of fixed capital. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. Any adjustments made to GOS/GMI for the private non-financial corporations sector during S-U Table balancing process are allocated to IOIGs using IOIG proportions when originally compiled. For SUIC 950 Personal and Other Services, GOS for private non-financial corporations is compiled at SUIC level from EAS and COFC data, and disaggregated to IOIGs using historic weights. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. Any adjustments made to GOS/GMI for private non-financial corporations and unincorporated enterprises during S-U Table balancing process are allocated to IOIGs using IOIG proportions when originally compiled. | Data are compiled at the IOIG level and aggregated to the SUIC level for the S-U tables. Government Finance Statistics data is classified by purpose and tax type which are then mapped to the IOPC level using historical weights and other observed taxation statistics data. | |
Ownership of dwellings | |||
GOS is derived as a residual at the IOIG level. For more detail on the derivation of GOS/GMI refer to tables 11.5 to 11.10. This S-U Industry and IOIG have a one-to-one relationship therefore any adjustments made to GOS during S-U Table balancing process are allocated to the IOIG automatically. |
22.102 Once the disaggregation is completed it is necessary to reconcile (or confront) these results with additional information to ensure the distribution is coherent. The data sources, in addition to the main data sources used to compile the S-U tables, used in this reconciliation process are obtained from the following:
- ABS data:
- Australian Industry Statistics case study data;
- Value of Agricultural Commodities Produced data;
- Mineral and Petroleum Exploration data;
- Retail Trade;
- Quarterly Business Indicators;
- Building Approvals data;
- Engineering Construction data;
- Private Sector Construction data;
- Water Account data;
- Motor Vehicle Use data;
- Tourist Accommodation data;
- Household Expenditure data; and
- occasional publications;
- Office of the Chief Economist;
- Australian Bureau of Agricultural Resource Economics and Sciences:
- Agricultural Commodities; and
- Australian Forest and Wood Products Statistics;
- Department of Climate Change, Energy, the Environment and Water:
- Australian Petroleum Statistics;
- State departments of primary industries;
- Australian Prudential Regulatory Authority;
- Reserve Bank of Australia;
- Australian Taxation Office;
- Medicare statistics;
- annual reports;
- press and internet articles;
- private industry analysis; and
- industry body commentary.
22.103 The level of detail used in the disaggregation and reconciliation processes will vary depending on the component and its data source. The aim is to use the most detailed information where available. For example, detailed information is available at the IOPC level for international trade in goods statistics. However, IOPC level detail is not available for international trade in services or Government Finance Statistics. In this case, weights from the previous year’s I-O tables are applied to derive I-O estimates.
22.104 The disaggregation (and reconciliation) process will result in imbalances at the I-O levels. These imbalances are resolved during the balancing process described in the steps that follow.
Step 3: Alignment with the ASNA
22.105 The initial data at IOPC level is reviewed against quality measures (see next section for more details). This initial data quality assessment is designed to ensure that I-O estimates are fully aligned with the Australian System of National Accounts available at the time that the I-O tables are compiled.
22.106 Given the importance of margins in the I-O framework, detailed ratio analysis are undertaken to review the product allocation of trade margins.
22.107 Adjustments are implemented where required.
Step 4: Industry level analysis
22.108 The I-O tables are assessed against the quality measures via an industry view and adjustments made where necessary. The industry view assesses Australian production of products by each industry and the use of each product by other industries as part of the production process.
Step 5: Row balancing at purchasers’ prices
22.109 The supply of each product is balanced against the intermediate and final use of the product by a manual process using the data sources listed in step 2 above.
22.110 A principal edit undertaken in the compilation of I-O tables is to reconcile the flow of products through the productive process. Backward linkages are reconciled to ensure the process of products through the productive process is logical. For example, the Australian production of raw milk is compared to the intermediate use of products produced by the dairy manufacturing industry in milk and dairy product production. As a product is transformed or processed, the value of output should increase due to the increase in value added.
22.111 When all products are balanced at purchasers’ prices (PP), the data are assessed against the quality measures and adjustments made where required.
Step 6: Allocation of margins, taxes and subsidies and derivation of the Basic Price
22.112 Once the I-O tables are manually balanced at purchasers' prices (PP), the use categories at basic prices (BP) are modelled using the basic relationship PP = BP + MTS where MTS represents Margins, Taxes and Subsidies on products.
22.113 The disposition of each margin, tax or subsidy across the use categories is driven by a number of general rules. These rules are applied to all products except those with specific characteristics (see below) in order to ensure the resulting disposition of MTS is logical and coherent. In the use categories, for example, the retail margins can only be allocated to HFCE while wholesale margins can be allocated to all use categories (including intermediate use) except GFCE and inventories.
22.114 In a number of instances, the standard disposition of MTS is overwritten by special rules. These special rules are applied to products with specific use characteristics and ensure a better allocation of MTS for these products. An example of a special rule relates to goods consumed by tourists which can attract retail margins in exports.
22.115 Margins, taxes and subsidies are independently allocated across the use categories on a proportional basis according to the general and special rules. The total MTS by product is therefore allocated to all use categories for each product, first using the PP and then on BP once derived.
22.116 The BP is derived from the PP by subtracting MTS in intermediate use and final use. Because MTS are allocated independently, the resulting BP tables are unbalanced. A constrained optimisation process is used, once large imbalances have been resolved manually, to balance products and industries in the intermediate use matrix.
22.117 The different margins, taxes and subsidies are added to the BP in a cumulative manner. In most cases, transport margins will be applied before wholesale margins which will themselves be applied before retail margins. For practical reasons the incremental disposition of MTS is not applied but the basic price is assumed to be a better allocator for MTS. This is particularly true for products attracting a lot of retail margins and for which the inclusion of these margins would distort the disposition of other MTS.
22.118 Once derived, the BP is used to allocate MTS across the use categories. Manual adjustments are made where required. This process is repeated twice in order to gradually refine the disposition of MTS and the resulting BP.
22.119 When all products are balanced at BP the data are assessed against the quality measures and adjustments made where required.
Step 7: Produce basic and derived I-O tables
22.120 The next step is to produce basic and derived I-O tables. Quality checks are again run to assess data quality, and to check that publication standards have been applied to the tables for release.
22.121 The SNA68 transport margin adjustment is made (see section on the SNA68 transport margin adjustment at beginning of this chapter).
22.122 The alternate view tables are then prepared. The treatment applied to compile the alternate view removes the negative effect of the c.i.f./f.o.b. adjustment in imports (see section on c.i.f./f.o.b. adjustment for details).
22.123 The product details tables are then prepared.
22.124 All tables for release are assessed against quality measures and any corrections made as required.
Step 8: Disseminate I-O tables, alternate view tables and product details publication
22.125 Publication tables are disseminated on the ABS website. The last quality check is run to review the publication production cycle, and to identify and document improvements for the following cycle
Quality measures
22.126 Twenty quality measures are applied at the various steps in the compilation process described above. The quality measures include internal consistency checks and checks for consistency with published national account aggregates. Most of the quality measures are assessed at every gate with a few exceptions. The complete list of quality measures include:
- all three measures of GDP are equal when aggregated from the I-O tables;
- supply matches use in all rows (after product balancing);
- application of the SNA68 TMA does not affect PP overall estimates;
- the latest appropriate data for the reference period has been used;
- there are no negative values in supply;
- estimates match published estimates in the Australian National Accounts for the relevant reference period;
- known problems from previous I-O cycles have been resolved;
- c.i.f./f.o.b. adjustments have been applied correctly;
- there are no inventories of services and no margins attributed to services products;
- GST and retail margins are consistent with HFCE;
- domestic exports do not exceed production unless stock is drawn from Inventories;
- re-exports do not exceed imports unless stock is drawn from Inventories;
- coverage and specialisation ratios are sensible and consistent with previous I-O tables;
- supply is consistent with use for top 50 IOPCs;
- the COE/TIU and GOS/TIU ratios are plausible;
- inventory levels are sensible in relation to supply at basic prices;
- distribution of supply confronted with previous cycle is plausible;
- distribution of retail and wholesale margins is coherent;
- supply and final use column totals have not been changed; and
- issues identified at previous steps have been addressed.
\(\)
Using I-O tables for analysis
22.127 The basic tables and the industry-by-industry tables are an accounting record of the flows in the economy for a given year. If simplifying assumptions are used, the I-O tables can serve many analytical purposes. For example, it is possible to:
- estimate the levels of output of the production required to meet a given level of final demand;
- the effect of other industries of an additional output of $100m of a product; or
- the impact of additional exports of a product on other industries, by assuming the average and marginal utilisation rates are the same.
22.128 An impact analysis like this can be concerned with one or several industries in the economy, and can be done using the requirements table.
22.129 Relative prices are constantly changing, and do change significantly from year to year. It is useful to regard I-O tables as representing underlying quantities and technological relationships, rather than values and value relationships. Even factor payments (COE, GOS and GMI) can be viewed as representing quantities of employee services, and of entrepreneurial and capital services. Unless the analyst makes allowance for price changes, all proportions and values will be in terms of relative and absolute prices of the reference year.
22.130 The ABS I-O tables are not revised. They provide a snapshot of the Australian economy at a point-in-time and should not be used as time series.
Direct requirements coefficients
22.131 A simple application of the I-O tables is calculating inputs as a percentage of the output of an industry and using these percentages for estimating the input requirements for a given output of the industry. In all tables in the I-O releases, 100 always represents total Australian production, including tables with indirect allocation of imports.
22.132 All coefficients in the requirements matrices relate to flows from industry to industry. The application of the requirements will be in terms of the output of industries, and not of the products primary to the industries.
22.133 Direct requirements coefficients have different meanings depending on the treatment of imports in the flow table from which they are derived. If the flow table is based upon direct allocation of competing imports, the coefficients in quadrant 1 will only refer to the requirements from domestic production. If the flow tables are based upon an indirect allocation of imports, the coefficients in quadrant 1 will include the use of both imported and domestically produced products. If the usage of a product by an industry remains unchanged, substitution can take place between imports and domestic production without affecting the size of the coefficients.
22.134 The coefficients for COE, GOS and GMI, net taxes on products and other taxes on production are the same regardless of the allocation of imports in the source flow table. However, the coefficients for imports depend on the two types of table. In the tables with an indirect allocation of imports, the entries in quadrant 3 (the primary inputs quadrant) relate only to complementary imports (of which none are identified in current I-O tables), and competing imports are included in quadrant 1 since this shows the requirements of any given industry for the output of other industries and competing imports primary to those industries. In tables with a direct allocation of competing imports, the imports entries relate to all imports used by the industry.
Total requirements coefficients
22.135 The chain of calculations for output requirements can be continued beyond the direct requirements for an industry. For example, in order to produce output from the chemicals industry, inputs are required directly from the mining industry and other industries. To supply this direct requirement, the mining industry itself requires inputs from other industries including the chemicals industry, and so on in a convergent infinite series. In another example, the mining industry may not directly require inputs from agriculture but requires inputs from chemicals which cannot be produced without inputs from agriculture. Therefore, mining has an indirect requirement for input from agriculture. As is the case with the direct requirements coefficients, coefficients in the requirements matrices relate to flows from industry to industry. The application of the requirements will be in terms of the output of industries and not of the products primary to the industries.
22.136 The requirements can be traced, step by step through the industrial structure until the increments of output required indirectly for each industry become insignificant. This occurs after a few rounds. If this is done for all industries, and the direct and indirect requirements are added together, the result is a matrix of total requirements. However, if the number of industries is large the iterative process is too cumbersome, and the matrix is calculated by matrix inversion. This is why the matrix of total requirements is often referred to as the inverse matrix or Leontief inverse, and its coefficients as inverse coefficients.
22.137 In the total requirements coefficients table, at the intersection of a typical row i and column j, represents the units of output of industry i required directly and indirectly to produce 100 units of output absorbed by final demand of industry j. The tables are compiled based upon the assumptions of homogeneity and proportionality and this must be accounted for when they are used.
22.138 Derived coefficients will differ according to the way imports have been treated in the flow table from which they are derived. If competing imports were directly allocated in the flow table, the resultant total requirements coefficients in quadrant 1 will only refer to the requirements for domestic production. Therefore, when using of the coefficients it would be necessary to assume unchanged usage of imports or to regulate the coefficients by using revised import usage characteristics.
22.139 If the total requirements coefficients were derived from a flow table using indirect allocation of imports, the coefficients in quadrant 1 will be based on the usage of domestically produced and imported goods. If the usage of a product by an industry remains unchanged, substitution can therefore take place between domestic products and imports without affecting the size of the coefficients. In using the coefficients, an assessment of the proportion of the requirements that is likely to be satisfied by imports would need to be made, unless all demand can be met from Australian production.
22.140 All tables of total requirements characteristically have a diagonal entry that exceeds 100. The amounts that exceed 100 are due to the indirect requirements affecting each industry through other industries. This means that to meet 100 units of final demand for the output of an industry, the industry itself has to produce those 100 units, plus any direct or indirect requirements for its output resulting from requirements from itself, or from other industries.
Specially derived tables
22.141 Instead of being expressed as total output the requirements can be expressed as primary input content. This assumes that the final output of an industry is equal to the reward paid to the factors of production in all industries contributing directly and indirectly to this final output.
22.142 Each entry in the requirements table represents the total output required from the industry in the row, by the industry in the column for the purpose of producing $100 of output absorbed by final demand. Each of these can also be thought the sum of its inputs and can be dissected into its individual components. The proportions obtained from the column of the supplying industry in the table of direct coefficients are used. According to the proportionality assumption, the amount of each kind of input used by an industry represents a fixed proportion of the industries output.
Stability of I-O coefficients
22.143 The use of coefficients in users’ analyses will be accurate to the extent that the coefficients remain stable, which is dependent on the extent to which the assumptions of homogeneity and proportionality are valid.
22.144 The homogeneity assumption expresses that: each industry produces a single output (all products are perfect substitutes for one another, or are produced in fixed proportions); each industry has a single input structure (which does not vary in response to product mix); and there is no substitution between products of different groups. This assumption is weakened as product mixes change (with corresponding changes in input mixes), introduction of new products or materials, and as there is substitution between domestic production and imports or vice versa.
22.145 The proportionality assumption says that for any level of output the inputs will be a fixed proportion of the total. This assumption holds in the reference year but less so in each following year. The assumption may be invalidated by economies of scale, technological change, or substitution between the factors of production.
22.146 The I-O tables produced by the ABS represent an open I-O system as the final demand categories are exogenous (i.e. determined outside the system). In a closed system, all categories are defined as interdependent. For example, HFCE is treated like an industry, and its inputs (the requirements of consumers) are part of the solution. The ABS I-O tables are static as they provide a snapshot at a point-of-time. Dynamic systems introduce explicit time periods into the model and allow the change from a base period to the target to be traced.
Multipliers
22.147 Multipliers are a tool used by I-O practitioners to answer "what-if?" type questions. For example, 'what would be the impact on employment of a change in the output of the Chemicals manufacturing industry?' Multipliers can be used to quantify the flow-on effect of a change in the output of an industry on one or more of imports, income, employment or output on individual industries, or in total. The multipliers can be used to show "first-round" changes, or the aggregate effects once secondary effects have flowed through the system.
22.148 The ABS has published an information paper, Australian National Accounts: Introduction to Input-Output Multipliers, 1989-90, which provides a guide to the construction, interpretation and use of I-O multipliers.
22.149 The ABS published multipliers until the 1998-99 issue of Australian National Accounts: Input-Output Tables as Table 22. Production of multipliers was discontinued for several reasons. There was considerable debate in the user community as to their suitability for the purposes to which they were most commonly applied; that is, to produce measures of the size and impact of a particular project to support bids for industry assistance of various forms.
22.150 The ABS frequently receives requests from users who are seeking updated Input-Output multipliers. It is currently unable to support user requests for assistance with multipliers, and does not plan to compile and reissue this table. For this reason, Table 22 is missing from the list of basic tables published by the ABS at the beginning of this chapter.
Limitations of Input-Output Multipliers for Economic Impact Assessment
22.151 I-O multipliers are most commonly used to quantify the economic impacts (both direct and indirect) relating to policies and projects. While their ease of use makes I-O multipliers a popular tool for economic impact analysis, they are based on limiting assumptions that results in multipliers being a biased estimator of the benefits or costs of a project.
22.152 Inherent shortcomings and limitations of multipliers for economic impact analysis include:
- Lack of supply-side constraints – the most significant limitation of economic impact analysis using multipliers is the implicit assumption that the economy has no supply-side constraints. That is, it is assumed that extra output can be produced in one area without taking away resources from other activities, thus overstating economic impacts. The actual impact is likely to be dependent on the extent to which the economy is operating at or near capacity.
- Fixed prices – constraints on the availability of inputs, such as skilled labour, require prices to act as a rationing device. In assessments using multipliers, where factors of production are assumed to be limitless, this rationing response is assumed not to occur. Prices are assumed to be unaffected by policy and any crowding out effects are not captured.
- Fixed ratios for intermediate inputs and production – economic impact analysis using multipliers implicitly assumes that there is a fixed input structure in each industry and fixed ratios for production. As such, impact analysis using multipliers can be seen to describe average effects, not marginal effects. For example, increased demand for a product is assumed to imply an equal increase in production for that product. In reality, however, it may be more efficient to increase imports or divert some exports to local consumption rather than increasing local production by the full amount.
- No allowance for purchasers’ marginal responses to change – economic impact analysis using multipliers assumes that households consume goods and services in exact proportions to their initial budget shares. For example, the household budget share of some goods might increase as household income increases. This equally applies to industrial consumption of intermediate inputs and factors of production.
- Absence of budget constraints – assessments of economic impacts using multipliers that consider consumption induced effects (type two multipliers) implicitly assume that household and government consumption is not subject to budget constraints.
- Not applicable for small regions – multipliers that have been calculated from the national I-O tables are not appropriate for use in economic impact analysis of projects in small regions. This is because small region multipliers tend to be smaller than national multipliers since their inter-industry linkages are normally relatively shallow. Inter-industry linkages tend to be shallow in small regions since they usually don’t have the capacity to produce the wide range of goods used for inputs and consumption, instead importing a large proportion of these goods from other regions.
22.153 I-O multipliers represent one particular derived or modelled view of I-O data that goes beyond the publishing of the core I-O tables. Considering this, the ABS ceased production of multipliers as an extension of the I-O tables. Instead, users of the I-O tables can compile their own multipliers as they see fit, using their own methods and assumptions to suit their own needs from the data supplied in the main I-O tables.
22.154 While I-O multipliers may be useful as summary statistics to assist in understanding the degree to which an industry is integrated into the economy, their inherent shortcomings make them inappropriate for economic impact analysis. These shortcomings mean that I-O multipliers are likely to significantly overstate the impacts of projects or events. More complex methodologies, such as those inherent in Computable General Equilibrium (CGE) models, are required to overcome these shortcomings.
Types of Analysis
22.155 I-O tables are a powerful analytical tool. They can be used in many ways including;
- analysis of production, structure of demand, export ratios, employment, prices and costs, imports required, investment and capital, and exports;
- analysis of energy and of environment; and
- sensitivity analysis.
22.156 The basic role of I-O analysis is to analyse the link between final demand and industrial output levels. The total requirements coefficient in the ASNA context could be used to assess the effects on a productive system of a given level of final demand. Employment implications are equally important in this respect. I-O tables can also be used for analysing changes in prices stemming from changes in costs, or taxes and subsidies. The determination of the level of imports is often a vital part of the I-O exercise, particularly where the balance of payments imposes a constraint on economic policies. There are questions of direct demand for imports, and secondly, of indirect demand for imported inputs from all industries involved directly or indirectly. The I-O framework might also be extended to cover demand for fixed assets, by relating the investment table to output. One of the standard I-O applications is the analysis between exports and the necessary direct and indirect inputs, some of which may be imported.
22.157 There has been an increased use in I-O analysis recently for more structural analysis, including in the energy, and environment fields. It is possible to calculate the energy content of the different products in intermediate and final demand, and the indirect energy needs from energy matrices in either value or volume terms. The I-O approach is an essential component in environmental analysis as it enables the direct and indirect sources of pollution by linking data on emissions in physical terms to the I-O tables. The pollution content of the components of final demand can then be calculated. I-O tables with environmental related extensions are a major component of the basic framework of the satellite accounting of the environment.
22.158 The derivation of industry estimates of changes in multifactor productivity requires coherent current price and volume estimates of output, intermediate inputs, capital services and labour input. S-U tables at current prices and in the prices of the previous year, with consistent measures of labour input can provide most of the data required. The major exception is capital services. While the estimates of capital formation from the S-U tables do not provide the required measure of capital service, they are a major element in its estimation.
22.159 The I-O tables can also be used for various kinds of sensitivity analysis. These analyses reveal the effects if some variables in the output model are changed. Increased attention has recently been shown to dynamic I-O models. The essential distinction of a dynamic model is that it traces the path of the economy from a particular year to a target year, and it may be applied to calculate the requirements of a given final output, not only in the current year but through direct and indirect capital requirements in all preceding years. Dynamic models look at the future growth path of the economy year by year. These include Computable General Equilibrium (CGE) models. CGE models are used extensively to inform government policy analysis in many areas such as development economics, fiscal policy, international trade policy and micro economic reform. The national I-O tables provide a basis from which the compilation of state and regional tables can be modelled.
Chapter 23 Satellite accounts
Introduction
23.1 A great strength of the 2008 SNA (and ASNA) framework is that its articulation allows a great deal of flexibility in its implementation while remaining integrated, economically complete, and internally consistent. A classic example of its flexibility is the development of satellite accounts where an account is linked to, but distinct from, the central system. Satellite accounts allow an expansion of the national accounts for selected areas of interest while maintaining the concepts and structures of the core national accounts.
23.2 There are two types of satellite accounts serving two different functions, namely those that involve:
- elaboration or extension of detail; and
- alternative concepts and classifications.
23.3 The first type involves some rearrangement of the classifications and the possible introduction of complementary elements, but they do not change the underlying concepts of the SNA. The main reason for developing such a satellite account is that to encompass all the details for all areas of interest as part of the standard system would overburden it and possibly distract attention from the main features of the accounts. Examples include environmental protection expenditure and information, communication, and technology satellite accounts.
23.4 The second type is mainly based on concepts that are alternatives to the SNA. These include a different production boundary, an enlarged concept of consumption or capital formation, an extension of the scope of assets, etc. This type may also involve changes in classifications, but the main emphasis is on the alternative concepts. It is a particularly useful way to explore new areas in a research context, i.e. they allow experimentation with new concepts and methodologies with a wider degree of freedom that is possible within the central system. An example may be the role of volunteer labour in the economy as well as the tourism satellite account.
23.5 Some sets of satellite accounts may include features of both types of satellite accounts.
23.6 The ABS has produced several satellite accounts over two decades. One of them is the Australian tourism satellite account (ATSA). The first issue was released in 2000 for the year, 1997-98. This account has been released annually in the ABS publication, Australian National Accounts: Tourism Satellite Account. The latest issue was released in 2020 for the years, 2004-05 to 2019-20. In 2020, a supplementary publication, the Quarterly tourism labour statistics, Australia, experimental estimates, commenced. The second one is an experimental Transport Satellite Account which the ABS released in 2018 for the period 2010-11 to 2015-16. The third one is a non-profit institutions satellite account. The ABS has released three non-consecutive accounts in the publication, Australian National Accounts: Non-Profit Institutions Satellite Account. The first issue was released in 2002 for the year, 1999-00. The latest account was published in 2014, based on data from the 2012-13 Economic Activity Survey, and a re-presentation of 2006-07 data on a 2008 SNA basis. The fourth one is an information and communication technology satellite account. This account was released in 2006 as Australian National Accounts: Information and Communication Technology Satellite Account, 2002-03.
23.7 The ABS has maintained an environmental statistical program since the early 1990s, when it began recording in the national balance sheet the value of those environmental assets falling within the SNA asset boundary. The environmental-economic accounts (''environmental accounts'') program has expanded markedly over the past decade; in particular, accounts related to water and energy have improved in their extent, quality, and frequency. Experimental accounts have been released in respect of spatial land accounts, waste, environmental protection expenditures and environmental taxes. The ABS aims to further improve the range, frequency and quality of its suite of environmental accounts.
23.8 The ABS has produced three papers to provide measures of unpaid work which is outside the production boundary as defined in the 2008 SNA but does constitute production in a broad sense. The latest publication is Unpaid Work and the Australian Economy, 1997. The ABS has not produced a household satellite account as such to date. A number of conceptual, methodological and funding issues would need to be resolved prior to its production, given there is no agreed standard for a household satellite account.
23.9 The rest of this chapter outlines the general approach the ABS has taken to produce the tourism, non-profit institutions and information and communication technology satellite accounts as well as the environment-related accounts. Also included is a discussion on the issues surrounding the production of a household satellite account, including an outline of the approach used to measure unpaid work. The ABS has a program of future work associated with satellite accounts and environmental accounting.
Tourism satellite account
23.10 The Australian tourism satellite account (ATSA) is based on the international standard, Tourism Satellite Accounts: Recommended Methodological Framework 2008 (TSA RMF) (Eurostat, the OECD, the UN Statistical Division and the UN World Tourism Organisation) which is an update of the first version published in 2000. Along with other statistical agencies, the ABS contributed to the TSA RMF development, and helped ensure consistency with the 2008 SNA.
23.11 The TSA provides a means by which the economic aspects of tourism can be drawn out and analysed separately; however, within the structure of the ASNA. The ATSA is set in the context of the whole economy so that tourism's contribution to major national accounting aggregates can be determined and compared with other industries.
23.12 The key aggregates of the TSA are:
- tourism consumption;
- direct tourism output;
- direct tourism gross value added (GVA);
- direct tourism gross domestic product (GDP); and
- direct tourism employment.
Scope of the TSA
23.13 The ATSA measures the direct impacts of tourism only. Indirect impacts are outside the scope of the ATSA; however, they are measured by Tourism Research Australia, using the tourism supply-use table.
23.14 A direct impact occurs where there is a direct relationship (physical and economic) between a visitor and a producer of a good or service.
23.15 Alternatively, the indirect effect of tourism consumption is a broader notion that includes downstream impacts of tourism demand. For example, a visitor buying a meal generates indirect effects for the food manufacturer, the transporter, the electricity distributor, etc., all of which provide the necessary inputs required to make the meal.
23.16 In the case of goods purchased by visitors, only the retail margin contributes to key tourism supply measures. This is because it is deemed that only the retailer has a direct relationship with the visitor and is, therefore, part of the tourism industry. The implication of this treatment is that the value added generated in the chain of supply of goods to visitors up to, but not including, the retail level will be treated as an ''indirect effect'' of tourism consumption, while only the value added generated from retail trade activities provided to visitors will be considered as a direct effect.
Concepts of Tourism
Tourism
23.17 An important conceptual distinction concerns the difference between travel and tourism, and consequently between a traveller and a visitor. The term 'tourism' in the international standards is not restricted to leisure activity. It also includes travel for business or other reasons, such as education, provided the destination is outside the person's usual environment. A person's 'usual environment' is defined by the 2008 International Recommendations for Tourism Statistics (IRTS) as:
. . . the geographical area (though not necessarily a contiguous one) within which an individual conducts his/her regular life routines.¹⁰⁹
23.18 Travel is a broad concept which encompasses the activity of travellers and includes commuting to a place of work, migration and travel for business or leisure. A traveller is defined by the 2008 IRTS as:
. . . someone who moves between different geographic locations, for any purpose and any duration.¹¹⁰
Visitors
23.19 The central statistical entity in tourism statistics is the ''visitor''. The scope of tourism in the international standards comprises the activity of visitors. A visitor is defined in the 2008 IRTS as:
. . . a traveller taking a trip to a main destination outside his/her usual environment, for less than a year, for any main purpose (business, leisure or other personal purpose) other than to be employed by a resident entity in the country or place visited.¹¹¹
23.20 If a person stays in the one place for longer than one year, their centre of economic and social interest is deemed to be in that place, so they no longer qualify as a visitor.
23.21 The following types of persons are not considered to be visitors:
- persons for whom travel is an intrinsic part of their job (e.g., bus driver, air crew);
- persons who travel for the purpose of being admitted to or detained in a residential facility such as a hospital, prison or long stay care;
- persons who are travelling as part of a move to a new permanent residence;
- persons who are undertaking military duties; and
- persons who are travelling between two parts of their usual environment.
23.22 Visitors can be classified into national and international visitors. National or ''domestic'' visitors consist of Australian residents who travel outside their usual environment within Australia. They include both overnight visitors, people that travel more than 40kms from home (staying one or more nights at a location) and same day visitors, people who travel over 50kms in a round trip, outside of their usual environment. International visitors are those persons who travel to a country other than that in which they have their usual residence.
23.23 The one-year rule for length of stay for an international visitor is consistent with the principle applied in determining residency which requires the length of stay in an economic territory to be less than one year to qualify as a non-resident. The ATSA includes as visitors all international students undertaking short term courses with an actual length of stay of less than one year. If a student stays longer than one year (ignoring short-term interruptions to their stay, for example at vacation break), their usual environment is deemed to be the school or university, and they do not fit the definition of a visitor. They are considered a visitor if they travel outside their usual environment.
23.24 The consumption of Australian residents travelling overseas (outbound visitors) is excluded for the purposes of measuring direct tourism gross value added and direct tourism GDP in the ATSA, except to the extent they consume domestically produced products before or after their overseas trip. This is because their consumption overseas does not relate to the value of goods and services produced within the Australian economy.
Tourism expenditure
23.25 Tourism expenditure covers actual expenditure by the visitor, or on behalf of the visitor, and is defined in the 2008 IRTS as:
...the amount paid for the acquisition of consumption goods and services, as well as valuables, for own use or to give away, for and during tourism trips. It includes expenditures by visitors themselves, as well as expenses that are paid for or reimbursed by others.¹¹²
23.26 As per the above definition, tourism expenditure also includes expenditure by visitors whose main purpose is business, even if this is totally or partly paid for by their employer. It also accounts for expenditure before or after the trip that related to the trip e.g. purchase of luggage or printing of photographs.
23.27 Some expenditure by Australians travelling abroad is also included in tourism expenditure. The purchase of these goods and services must be before or after the trip in Australian domestic territory. With the exception of inbound services provided by Australian international air carriers, anything that is purchased by an Australian whilst overseas is considered an import of a good or service.
Tourism consumption
23.28 Tourism consumption includes consumption by both domestic and international visitors.
23.29 It also includes imputations for consumption by visitors of certain services for which they do not make a payment. Imputed consumption in the ATSA includes:
- services provided by one household to the visiting members of another household free of charge, including the value of goods such as food and purchased services provided by host family/friends;
- housing services provided by vacation homes on own account (imputed services of holiday homes deemed to be consumed by their visitor owners); and
- imputed values of non-market services provided directly to visitors such as public museums even though these may be provided free or at a price which is not economically significant.
Direct tourism GVA and direct tourism GDP
23.30 Direct tourism GVA and direct tourism GDP are the major economic aggregates derived in the ATSA.
23.31 Direct tourism GVA is measured as the value of the output of tourism products by industries in a direct relationship with visitors less the value of the inputs used in producing those tourism products. Output is measured at basic prices; that is, before any taxes on tourism products are added (or any subsidies on tourism products are deducted). Taxes on tourism products include the GST, wholesale sales taxes and excise duties on goods supplied to visitors. Direct tourism gross value added is directly comparable with estimates of the gross value added of ''conventional'' industries such as mining and manufacturing that are presented in the national accounts.
23.32 Direct tourism GDP measures the value added of the tourism industry at purchasers' prices. It therefore includes taxes paid less subsidies associated with the productive activity attributable to tourism and will generally have a higher value than direct tourism value added. Direct tourism GDP is a satellite account construct to enable a direct comparison with the most widely recognised national accounting aggregate, GDP.
23.33 While direct tourism GDP is useful in this context, the direct tourism GVA measure should be used when making comparisons with other industries or between countries.
Endnotes
Classifications
23.34 Not all products and industries in the standard national accounts product and industry classifications are related to tourism. Therefore, the TSA distinguishes between products and industries that are related to tourism, and those which are not. Tourism related products and industries are further classified into tourism characteristic and tourism connected resulting in three categories of industry and product in the ATSA.
Tourism related products
23.35 Tourism characteristic products are defined as those products which would cease to exist in meaningful quantity, or for which sales would be significantly reduced, in the absence of tourism. Under the international TSA standards, core lists of tourism characteristic products, based on the significance of their link to tourism in the worldwide context, are recommended for implementation to facilitate international comparison. International TSA standards also recommend that country-specific tourism characteristic products are identified. In the ATSA, for a product to be a country-specific tourism characteristic product, at least 25 per cent of the total output of the product must be consumed by visitors.
23.36 Tourism connected products are those products that are consumed by visitors but are not considered as tourism characteristic products. These products are not typical to the tourism industry only.
23.37 All other products in the supply-use table not consumed by visitors are classified as ''all other goods and services'' in the ATSA.
Tourism related industries
23.38 Tourism characteristic industries are defined as those industries that would either cease to exist in their present form or would be significantly affected if tourism were to cease. Under the international TSA standards, core lists of tourism characteristic industries, based on the significance of their link to tourism in the worldwide context, are recommended for implementation to facilitate international comparison.
23.39 In the ATSA, for an industry to be a country-specific tourism characteristic industry, at least 25 per cent of its output must be consumed by visitors. Whether or not an industry is classified as characteristic has no effect on total value added resulting from tourism. This is because the ATSA measures the gross value added resulting from the production of products directly consumed by visitors, not the total gross value added generated by tourism related industries.
23.40 Tourism connected industries are those, other than tourism characteristic industries, for which a tourism related product is directly identifiable (primary) to it, and where the products are consumed by visitors in volumes which are significant for the visitor and/or the producer.
23.41 Industries that do not fall into characteristic or connected industries are classified as ''all other industries'', though some of their products may be consumed by visitors and are included in the calculation of direct tourism gross value added and direct tourism GDP.
Tourism satellite account framework
23.42 The supply-use tables for the Australian economy provide the framework in which data for visitor expenditure (demand) and industry output (supply) are integrated and made consistent in the ATSA benchmark process. Moreover, they provide the means of calculating direct tourism gross value added and direct tourism GDP.
23.43 The Supply table is a matrix showing (in the rows) the basic price values of products produced by each major industry. It also shows the supply of products from imports, and the net taxes on products and trade and transport margins that are required to derive supply at purchasers' prices. The Use table shows the use of each product, both as intermediate consumption by industries and in domestic final demand and exports. The use table also shows the primary inputs (compensation of employees and gross operating surplus) required by each industry.
23.44 The supply-use tables are brought to balance so that the supply of each product equals its use. Some disaggregation of the products and industries shown in the standard tables is required, as the objective of the ATSA is to focus on tourism-related products, and the industries that produce them. It is therefore necessary to augment the standard supply-use tables. The non-tourism products and industries are compressed for operational convenience in constructing the ATSA, but the details remain in the underlying supply-use tables.
23.45 An important characteristic of tourism products is that they are not uniquely defined by their nature, but by who purchases them. Therefore, the consumption of each product has to be divided into the part consumed by visitors and the part consumed by non-visitors. This information is used to partition industries into their tourism and non-tourism components, enabling the derivation of direct tourism value added and direct tourism GDP.
23.46 An important part of the compilation process is to check the consistency of data for visitor expenditures on products with the total supply of products. Apparent inconsistencies are resolved by further data investigations and adjustment.
Sources and methods
23.47 The data sources and methods used to compile the Australian TSA are outlined in detail in the ABS publication, Australian National Accounts: Tourism Satellite Account.
23.48 The usual TSA methodology involves estimating a full benchmark every third year. The method for compiling benchmark estimates involves the use of fully balanced supply-use tables that underlie the ASNA. Further, the latest industry data in respect of tourism related industries is incorporated. In order for tourism output and value added to be derived, the satellite accounts need to be supplemented with data from the demand side; that is, tourism consumption. Where there are extraordinary events, for example the COVID-19 pandemic, resulting in sudden structural change, the frequency and timing of the benchmark may need to be reviewed.
23.49 A number of steps are required to then compile direct tourism value added. These are detailed in the Australian National Accounts: Tourism Satellite Account. After removing product taxes and subsidies, margins and imports from internal tourism consumption (for each tourism product), it is possible to derive tourism product ratios to determine the output of each product consumed by tourists. Tourism intermediate consumption is then derived using relationships from the supply-use tables. Direct tourism gross value added is then estimated as direct tourism output less intermediate consumption required to produce this output, and sum for all industries in the economy,
23.50 It is not feasible to collect the detailed supply-side data required to produce a timely full-scale TSA every year. Therefore, the key aggregates are updated annually using relationships in the benchmark TSA and demand-side data that are available annually.
23.51 Where there is a structural change in tourism related industries or the general economy in the non-benchmark years, it is likely that there will be revisions when the next benchmark is compiled.
23.52 The main data sources are from:
- Tourism Research Australia – the National Visitor Survey and the International Visitor Survey; and
- The ABS – the Census of Population and Housing, the Household Expenditure Survey, the Balance of Payments and International Investment Position, the Economic Activity Survey, the Labour Force Survey and Overseas Arrivals and Departures.
23.53 Additional data sources are used in a benchmark year. They can be found in the ABS publication, Australian National Accounts: Tourism Satellite Account.
Transport satellite account
23.54 The experimental Australian Transport Economic Account (ATEA) released in 2018 covered the period 2010-11 to 2015-16 and presented information on the contribution of transport activity across all industries of the Australian economy.
23.55 For the purposes of the ATEA, total transport activity is the movement of people or goods from one location to another and is comprised of:
- For-hire transport activity, which is that activity undertaken on a fee for-hire basis in ANZSIC Division I Transport, postal and warehousing. This corresponds with transport as it is viewed in the national accounts.
- In-house transport activity within the four primary modes of transport – road, rail, air and water – as defined in the ANZSIC Subdivisions 46 to 49.
- The majority of this activity is own-account (or ‘ancillary’) output, which is not intended for market, and is consumed in the production of the industry’s primary output for example a retail business using its own truck to deliver goods from a warehouse to the retail outlet.
- In-house transport in this account also encompasses any secondary production of transport activity for market, outside of Division I.
- The In-house production of transport services in scope of the ATEA is restricted to the movement of people or freight that could potentially be outsourced to transport units in ANZSIC Division I. As such, Transport activity that cannot be disentangled from the primary production process of the unit is considered out of scope of the ATEA. However, there is no practical way to separately identify this activity, and it is likely that estimates include activity such as that of waste collection services and police and emergency services patrols.
23.56 To maintain links to the national accounts, transport services provided by households for their own use are not in scope of the ATEA.
Assumptions
23.57 The ATEA draws on existing datasets that were not designed for the purpose of an ATEA, and therefore a number of underlying assumptions have been made, which should be considered in interpreting results. These include the following:
- For each mode of transport, non-transport industries are assumed to exhibit the same input structure and production function of the Division I industry. For example, In-house Road Transport is assumed to have the same structure as that of the Road transport industry in Division I.
- All economic activity within Division I is assumed to be For-hire transport. No adjustments are made to exclude secondary activity undertaken within that industry that is not related to the provision of transport services.
- Division I products have not been used as an input to the In-House Transport industry, as it is assumed these activities will be captured within Division I.
- Extrapolation of the time series from base year data assumes that the relative use of in-house transport products remains constant over time.
International standards
23.58 There are currently no international standards or guidelines for developing a Transport Satellite Account, although their development is currently being considered by the Organisation of Economic Cooperation and Development (OECD). The methodology for the ATEA therefore closely followed that of the United States and Canadian accounts, with some variation due to differences in available data sources.
Methodology
23.59 The supply-use tables for the Australian economy provide the framework in which transport activity across the economy can be identified. Moreover, they provide the means of calculating transport gross value added and gross domestic product.
23.60 In broad terms, the ATEA involves reorganising the information in the supply-use tables in a way that is consistent with the ASNA framework and respects the same industries and classifications. In doing so, the ATEA introduces four new In-house transport industries within the supply-use framework – one for each of the four primary modes of transport: road, rail, air and water.
23.61 The supply of each of these new industries is compiled by identifying the inputs, both intermediate and primary, used in the production of In-house transport by non-transport industries. Each of these new industries only produces a single output, which is In-house transport relating to the specific mode.
23.62 These new in-house transport industries thus explicitly capture supply and use relating to in-house transport activity.
Identifying and calculating transport-related inputs
23.63 Estimates of inputs used in the production of In-house transport are identified from the supply-use tables in three components:
- Transport related inputs (TRIs) such as fuel, insurance and repairs, are inputs considered essential to transport activity. In the main, these inputs are used solely in the production of transport. An exception is fuel products, which have significant use for other purposes, such as the running of plant and machinery.
- Non-transport related inputs (NTRIs) are other intermediate inputs which are used in the production of In-house transport, but are not specific to transport. These may include inputs such as accounting services and office supplies.
- Primary inputs (value added components) include compensation of employees, gross operating surplus, and other net taxes on production.
23.64 For the ATEA, the new In-house transport industries are assumed to use the same input structures as those used in producing For-hire transport. NTRIs are imputed based on the ratios of TRI to NTRI in the corresponding For-hire industry, recognising that input structures vary between modes of transport produced.
23.65 Primary inputs, or value-added components of In-house transport, are calculated using the ratio of each value-added input to total intermediate inputs of the corresponding For-hire transport industry. Value-added components.
Taxes and subsidies
23.66 To complete the picture of transport's contribution to the economy, an estimate of taxes less subsidies on products is required. No such adjustment is necessary for in-house transport, as the input-based approach to measurement ensures its supply and use are already valued consistently. In principle, some net taxes on products for secondary production of transport within in-house transport is payable; however, it has not been estimated in this account due to its relative insignificance.
23.67 Taxes and subsidies on any products produced by the for-hire industries are allocated based on the contribution of each industry to the output of that product. For example, the 'Rail transport' industry (ANZSIC Subdivision 47) is the sole producer of the product ‘Rail passenger transport services’, so the full values for both taxes and subsidies on this product are allocated to this industry.
Secondary transport production and margins
23.68 In-house transport activity comprises of three distinct components:
- In-house transport activity for own use (ancillary production);
- In-house transport supplied to another institutional unit (secondary production); and
- Transport margins.
23.69 As In-house transport estimates in the ATEA have been built up from inputs related to transport activity, they represent all in-house transport activity, regardless of whether it has been supplied to another institutional unit or not. However, where transport activity is undertaken as secondary production, and services have been supplied to another institutional unit, output relating to this activity will already be captured in the supply-use tables. Thus, in-house transport output would be overstated with the introduction of the new transport products.
23.70 To prevent this overstatement, existing secondary production of transport services and transport margins are removed from the industries in which the activity occurred.
23.71 On the use side, an adjustment is also made to shift the total value of the transport margins to each of the new In-house transport products – Road, Rail, Air and Water.
Data sources
Economic Activity Survey
23.72 The Economic Activity Survey (EAS) produces estimates of the economic and financial performance of Australian industry, with the purpose of feeding into the National Accounts and several publications, specifically Australian Industry. These data have been incorporated in the ATEA to inform industry use of transport by mode, and transport specific use of fuel.
Supply-use tables (2010-11 through 2015-16)
23.73 This experimental ATEA has been compiled using supply-use tables, as incorporated in Australian System of National Accounts, 2016-17.
23.74 Employment and productivity relating to transport have been derived from both the Labour Force Statistics and Labour Account Statistics.
Non-profit institutions satellite account
23.75 A Non-profit institutions satellite account, highlights non-profit institutions (NPIs) within the national accounting framework. This account records the activities of market and non-market NPIs. The concepts and methods used in the Australian NPI satellite account are based on The Handbook on Non-profit Institutions in the System of National Accounts. The handbook was endorsed by the United Nations Statistical Commission in 2002. Chapter 23 of the 2008 SNA discusses and summarises non-profit institutions satellite accounts.
23.76 An NPI satellite account provides a means by which the economic aspects of NPIs can be drawn out and analysed separately within the structure of the main accounts. One of the major features of an NPI satellite account is that it is set within the context of the whole economy, so that NPIs' contribution to major national accounting aggregates can be determined.
23.77 The NPI satellite account has two dimensions. The first is referred to as measurement on a national accounts basis. This is equivalent to production and other economic aggregates as defined in the national accounts. Therefore, the estimation of output is based on whether the NPI is a market producer or a non-market producer in accordance with the ASNA. Consequently, NPI gross value added and NPI GDP are also consistent with the ASNA.
23.78 The second dimension is referred to as measurement on an NPI satellite account basis. This dimension extends the boundary of national accounts to include values for the non-market output of market producers and NPI services provided by volunteers. Measurement on an NPI satellite account basis provides a more complete picture of the value of NPIs to society than is evident in estimates included in the national accounts.
Non-market output of market producers
23.79 The non-market output of market producers measures that component of the output of market NPIs which is not captured when output of market units is valued under the standard SNA convention of valuation by sales. The handbook argues that if such an adjustment is not made to value any non-market output produced by market units, then the value of the output of market NPIs is understated as such units can produce significant amounts of output which are supported by charitable contributions or other transfers that is not evident in sales revenue.
23.80 The non-market output of market producers is valued as the difference between the output of market units when calculated by the standard SNA valuation method for non-market units of cost summation, and output as calculated by the standard SNA method for market units of valuation by sales. Where output on a cost valuation basis exceeds output on a sales valuation basis, the difference is taken to be the non-market output of market producers. Where output on a sales basis exceeds output on a cost basis, non-market output of market producers is assumed to equal zero.
Volunteer services
23.81 The UN handbook recognises that as volunteer labour is critical to the output of NPIs and their ability to produce a level and quality of service, it is important to capture and value this activity in the NPI satellite account. The handbook proposes three methods by which volunteer services can be valued. Each method involves assigning a wage rate to the total number of hours worked by volunteers.
23.82 The first such valuation method mentioned in the UN handbook is referred to as the "opportunity cost" approach. The notion behind this approach is that each hour of volunteer time should be valued at what the time is worth to the volunteer in some alternative pursuit. The applicable wage rate at which an hour of volunteer time is valued in this instance is therefore the wage rate associated with the usual occupation of the volunteer. The handbook recognises that while theoretically desirable for some analytical purposes, this valuation approach is not often used. The ABS has considerable reservations as to the appropriateness of this valuation method, as it assumes that paid work is foregone in order to undertake voluntary work. Most workers, however, have limited choices in the hours they work and are more likely to be giving up leisure time for voluntary work. This being the case, the opportunity cost should not be based on the wage they receive in the market but on the value they place on leisure. Valuation of goods and services at market prices is fundamental to national accounting. In this context, two volunteers involved in identical unpaid activity should be valued at the same hourly rate irrespective of what they could each earn in their paid occupations. Additionally, this method raises the issue as to which is the appropriate wage rate to apply to those volunteers who do not have a usual occupation, for example those who are retired or unemployed or otherwise not in the labour force.
23.83 The second valuation method proposed in the UN handbook is the "replacement cost" or "market cost" approach. This approach recommends that each hour of volunteer time be valued at what it would cost the organisation to replace the volunteer with paid labour. The applicable wage rate at which an hour of volunteer time is valued in this instance relates to the particular activity being undertaken by the volunteer. While this method is preferred over the opportunity cost approach, the value of volunteer services may be under or over-estimated using this approach depending on variations in the productivity of volunteers compared with labour provided to the market sector. The estimate of volunteer services included in this satellite account is based on this approach.
23.84 The UN handbook recognises that both the opportunity and replacement cost methods require more information on the activities in which volunteers engage than is likely to be available in most countries. Where detailed data on volunteering are not available, the handbook recommends a fall-back option which values each hour of volunteer time at the average gross wage for the community, welfare and social service occupation category. It argues that the work of volunteers is most likely to resemble this occupation category, and that the associated wage rate is conservative, and typically towards the low end of the income scale, but not at the very bottom.
Classifications
23.85 The classification system used in the Australian NPI satellite account is a reduced version of the classification that is recommended in the UN handbook, the International Classification of Non-Profit Organizations (ICNPO). ICNPO is fundamentally an activity classification, although inclusive of some purpose criteria. ICNPO permits a fuller specification of the components of the non-profit sector than the ANZSIC. In some instances, the detailed ANZSIC codes cut across several ICNPO groups and subgroups. In keeping with the current availability of data, a number of the broad level ICNPO groups have been combined, and estimates are not produced for classifications below the group level. A full version of ICNPO and the concordance between ICNPO and the ANZSIC classification are shown as part of the satellite account publication.
23.86 Data on voluntary work was collected using an activity classification which is similar to ICNPO, at least at the group level. A concordance between ICNPO and the type of organisation for which volunteers worked is also available.
Scope of the NPI satellite account
23.87 The Australian NPI satellite account does not attempt to measure the universe of entities that could be defined as NPIs. This is partly for practical and partly for conceptual reasons.
23.88 The UN handbook defines non-profit institutions in paragraphs 2.15 to 2.19 as organisations which are:
- not-for-profit and non-profit-distributing;
- institutionally separate from government;
- self-governing; and
- non-compulsory.
23.89 This definition forms the basis of what is included within the scope of the NPI satellite account.
Organisational existence
23.90 Organisational existence means that in order to meet the definition of an NPI, an entity must have some institutional reality and a meaningful organisational boundary separate and distinct from its members.
23.91 For the purposes of the satellite account, a practical means to identify that an entity meets this criterion is the existence of an ABN. Without an ABN, an entity cannot have employees or accept tax deductible donations. There are many non-profit groups in Australia who do not have an ABN, some of which if examined closely could be argued to have a separate organisational existence. The economic significance of such units is likely to be negligible if such groups are unable to employ or accept tax deductible donations.
Not-For-Profit and Non-Profit Distributing
23.92 To meet the definition of an NPI, an entity must be both not-for-profit and non-profit-distributing. This means that the organisation does not exist primarily to make a profit, and any surplus it accumulates must not be distributed to owners or members.
23.93 For the purposes of the satellite account, this means that units are excluded from the scope of the account if they are able to distribute surpluses to members, either on an ongoing basis or on liquidation. The handbook mentions that to the extent that they are able to distribute profits to members, co-operatives and mutual societies are excluded from the NPI sector. Also excluded from the satellite account on this basis are strata titles, credit unions and building societies and any other units classified to either the finance or insurance industries such as religious charitable development funds.
Institutionally separate from Government
23.94 To meet the definition of an NPI, an entity must be institutionally separate from government. This means that the organisation must have sufficient discretion with regard to both its production and use of funds, and that its operating and financing activities cannot be fully integrated with government finances.
23.95 For the purposes of the satellite account, this means that any unit classified to the general government sector is excluded on the basis that if the unit is sufficiently controlled by government to be included in the general government sector, its finances are integrated with those of the government and the unit is not sufficiently separate from government to satisfy this criterion.
Self-governing
23.96 To meet the definition of an NPI, an organisation must be self-governing. This means that the organisation must be able to control its own activities and is not under the effective control of any other entity.
Non-compulsory
23.97 To meet the definition of an NPI, an organisation must be non-compulsory. This means that membership or contributions of time and money cannot be required or enforced by law or otherwise made a condition of citizenship. A unit is still considered to be an NPI if membership is a necessary condition to practice a particular profession. For the purposes of the satellite account, this means that professional associations are within scope.
Sources and methods
23.98 The NPI satellite account has been compiled from a variety of data sources, including ABS economic and social collections. The sources used to compile the various data contained in the satellite account are outlined below.
Monetary aggregates
23.99 The bulk of the data contained in the NPI satellite account are monetary aggregates. This includes data about income, use of income, capital expenditure and asset stocks, as well as the national accounting measures of output of goods and services and gross value added.
23.100 The main data source for the NPI satellite accounts is the annual Economic Activity Survey or EAS. Over 4,000 NPIs were surveyed in the 2012–13 EAS, almost double the number of NPIs that were included in the 2006–07 survey. The survey covered all employing and significant non-employing non-profit organisations and collected a range of information from a sample of these organisations, including detailed information about their financial performance over the reporting period. The identification of NPIs on the ABS Business Register of organisations was reviewed and improved. This review led to the removal of some organisations, which are not NPIs for the purpose of the NPI Satellite Account, from the EAS and NPI organisation counts for 2012–13.
23.101 Micro non-employing non-profit organisations with turnover below a set threshold were excluded from the scope of the 2012-13 EAS. Information for these organisations was therefore taken from Business Activity Statement (BAS) data as collected by the Australian Taxation Office. Data available from BAS records included in the satellite account relate to sales and service income, labour costs (wages, salaries and superannuation), non-capitalised purchases and capital expenditure. Data for other survey questionnaire items, including transfers and donations paid and received, were not available from BAS records, nor was a suitable imputation method apparent for these items.
Employment and volunteers
23.102 Data in respect of permanent full time, permanent part time and casual paid employees of NPIs were also collected as part of the EAS. Given the nature of the administrative arrangements for deducting tax with respect to paid employees, the ABN based survey frame should cover all employing NPIs.
23.103 The 2006–07 EAS also collected information as to the number of volunteers that each organisation surveyed reported had worked for their organisation during the reporting period. More detailed information on volunteering was available from the ABS publication, Voluntary Work, Australia 2006 (cat. no. 4441.0); estimates from this publication were used for the satellite account. For this reason, the 2012–13 EAS did not collect information about volunteers. Updated estimates on voluntary work will not be available until 2015. Once the voluntary work data are available, the ABS will compile the number and contribution of volunteers to non–profit organisations for 2012–13. These data will be released in a second issue of this publication in June 2015.
Volunteer services
23.104 The compilation of data about the value of volunteer services involves taking information on the annual hours volunteered from the General Social survey and assigning a wage rate from the Employee Earnings and Hours publication. As detailed in the conceptual framework appendix, the Handbook on Non–Profit Institutions in the System of National Accounts recommends three alternative methods for estimating the value of volunteer services (see also paragraphs 23.61 to 23.64).
Information and Communication Technology satellite account
23.105 The Information and Communication Technology (ICT) satellite account developed by the ABS used the national accounts framework to present a picture of the value of transactions in ICT products within the Australian economy. One role of this satellite account was to review and, where necessary, make improvements to ICT data series used in the ASNA itself.
23.106 Satellite accounts such as tourism and non-profit institutions use a set of recommended classifications and frameworks developed from international research and discussion over a number of years, with international agencies usually taking the lead. There were no such guidelines available for an ICT satellite account, although there have been international initiatives on some aspects important to this work.
Framework for the ICT satellite account
23.107 The basic compilation framework for the ICT satellite account is the supply-use framework of the ASNA. It was adapted to focus on ICT products and the industries producing or distributing those products. Fundamentally, the system consisted of a supply table that tracked the supply of ICT products from imports and from Australian producers, and a use table that tracked the use of those products by industries, government, households and for export.
Concepts for the ICT satellite account
23.108 The concepts for the ICT satellite account were consistent with the ASNA and are outlined below.
ICT output
23.109 The value of ICT output was the market value of ICT goods and services produced within Australia. ICT output may be produced by units in any industry, though in practice the great majority of ICT output was produced by a small number of industries.
23.110 Capital goods produced on own account for own use were valued according to their estimated market value, or, if this was not possible, on the basis of production costs; that is, the value of labour and non-labour costs, and consumption of fixed capital used to produce the capital good. There are two significant ICT-related items of capital work produced on own account - own account computer software and own account production of telecommunication assets. The latter item relates wholly to telecommunication service providers and comprises the physical infrastructure required to put various telecommunication equipment in place (e.g. construction of mobile phone towers). All industries engage in producing computer software on own account.
ICT gross value added and ICT GDP
23.111 ICT gross value added at basic prices was measured as the value of output of ICT goods and services less the value of intermediate consumption inputs used in producing these ICT products. ICT gross value added is comparable with estimates of the gross value added of conventional industries such as mining and manufacturing as presented in the ASNA.
23.112 ICT GDP, on the other hand, measured the gross value added of the ICT industry at purchasers' prices. It therefore included taxes (less subsidies) on ICT related products. ICT GDP has a higher value than ICT gross value added.
23.113 ICT GDP was a construct to allow comparison with the most widely recognised national accounting aggregate, GDP. While it is useful in this context, the ICT gross value added measure should be used in comparisons with other industries and between countries. There is no generally accepted way to allocate deductible taxes such as GST to industry, and substantially different results can be obtained for industry GDP depending on the method chosen. This is a further reason for gross value added to be the preferred measure for industry comparisons.
ICT investment
23.114 ICT investment was gross fixed capital formation plus changes in inventories relating to ICT products. Gross fixed capital formation is the value of acquisitions less disposals of new or existing fixed assets. Assets consist of tangible or intangible assets that have come into existence from processes of production, and that are themselves used repeatedly or continuously in other processes of production over periods of time exceeding one year
ICT Government final consumption expenditure
23.115 Government final consumption expenditure is current expenditure by general government bodies on services to the community such as defence, public order and safety. Because these are provided free of charge or at prices which cover only a small proportion of costs, the government is considered to be the consumer of its own output. This output has no directly observable market value, and so is valued in the national accounts at its cost of production. In 2002-03, general government bodies in Australia did not produce any market output that could be considered ICT in nature and therefore government final consumption expenditure on ICT products was estimated as zero.
23.116 Current expenditure by general government bodies on such things as telecommunication services and computer services was treated as intermediate consumption by these units.
Scope and classifications
23.117 The scope of the ICT satellite account is effectively determined by the range of products (goods and services) defined as information and communication technology. At the time, the satellite account was published the Working Party on Indicators for the Information Society convened by the OECD has produced a draft 'Classification of ICT Goods' and was working on a classification of ICT services. The ABS had significant input into this work and the classification used by the ABS in ICT Industry Survey (ICTIS) 2002-03 was broadly consistent with, but not identical to, the OECD classification as far as it relates to goods. The OECD definition included a broader range of goods than the Australian definition. The Australian definition only included ICT goods if they were able to be networked or were components of goods that could be networked. It also excluded a range of medical, scientific and audio visual equipment.
23.118 The scope of 'ICT industries' relates closely to the set of ICT products defined above. ICTIS 2002-03 was a major data source for the satellite account and covered the main industries involved in the production and distribution of ICT goods in Australia. Its scope was broadly consistent but not identical with the OECD ICT Sector definition. The Australian definition only included ICT products if they were able to be networked or were components of products that could be networked. Units that manufactured or distributed products such as industrial process equipment were included in the OECD classification but excluded from the ABS classification.
23.119 Within the 'ICTIS industries', businesses were further classified as either ICT specialists or non-specialists. Businesses in these industries were defined as ICT specialists if more than 50 percent of their income was derived from production of ICT outputs.
Economy-wide ICT industry
23.120 An alternative view was to group all similar activities together as an 'industry', regardless of whether the ICT products were produced as primary activities of businesses that were commonly thought of ICT producers, or as secondary activities of businesses that were not regarded as ICT producers. For example, ICT products such as software produced as a secondary activity by businesses (and government organisations) outside the ICT industries would be included. Likewise, non-ICT products produced by ICT specialist industries would be excluded. This leads to a wider definition of the 'ICT industry'. The disadvantage of this view is that estimates of ICT gross value added on this basis require use of assumptions because it is not possible to collect all the required information on the costs of producing ICT products or the value of output.
23.121 This wider activity concept of an ICT 'industry' is clearer in practice where it involves actual sales of ICT products. Defining the boundary becomes more complicated where ICT goods and services are produced in-house for own use. For example, a bank (classified to the financial services industry) may use its own employees to provide help desk services, data processing, system maintenance and software development, etc., or it may purchase these services from other businesses. Where these services are purchased, and regardless of the source of the purchase, they become part of the economy-wide ICT industry for inclusion in the satellite account. In the national accounts, goods and services produced for own use are not regarded as part of output where they are consumed as part of the process of producing other goods and services. In that case, their value is reflected in the other outputs of the business; in this example, financial services. In-house ICT products are included as products in their own right in the national accounts, being products in the nature of gross fixed capital formation (e.g. software development).
23.122 In principle, the scope of the ICT satellite account could conceivably be defined to include all ICT activity including in-house activity. Using the above example of a bank, help desk activities could be separately valued and included as part of ICT output and value added. The services would be deemed as being both 'sold' and then 'purchased' by the bank for input to the production of financial services. This quickly becomes an artificial construct. Businesses make different decisions about which functions to outsource and which to provide in-house across a whole range of activities, including accounting, payroll, transport, storage, recruitment and so on. In practice, it is not possible to collect the information required or to satisfactorily value such activities provided in-house.
23.123 An 'economy-wide' scope was adopted in the satellite account. ICT products produced in-house for own use were excluded from the output and use of ICT products, apart from in-house production of ICT capital goods (software and telecommunication assets).
Sources and methods
23.124 The ICT satellite account data was sourced primarily from ABS collections, namely:
- ICT Industry Survey (ICTIS)
- Economic Activity Survey
- Balance of Payments and Trade
- Government Technology Survey
- Household Use of IT Survey
- Business Use of IT Survey
- Internet Activity Survey
- Surveys of Research and Experimental Development
- Household Expenditure Survey
- Labour Force Survey
23.125 As previously mentioned, the basic compilation framework for the ICT satellite account was the national accounts 'supply and use' system. It was adapted to focus on ICT products and the industries producing or distributing those products. Fundamentally, the system consisted of a supply table that tracked the supply of ICT products from imports and from Australian producers, and a use table that tracked the use of those products by industries, government, households and for export. In order to satisfy the identity that the supply and use of products must be equal, discrepancies due to deficiencies in the source data were identified and resolved. A great strength of the framework was that it facilitated this data confrontation and provided a basis for optimising the quality of the overall estimates in the face of deficiencies and gaps in data coverage.
23.126 International experience showed that the measurement of ICT transactions was not easy, particularly given the intangible nature of software, the licencing and leasing arrangements involved and the bundling of ICT products. It was therefore inevitable that a range of significant data and other issues required close attention in producing the ICT satellite account. An outline of these issues is provided in Appendix 5 of the Australian National Accounts: Information and Communication Technology Satellite Account, 2002-03 (cat. no. 5259.0). Inevitably, a number of judgement calls were necessary to integrate the data. Consequently, the results were considered experimental.
Household satellite account and unpaid work
Household satellite account
23.127 The 2008 SNA recommends inclusion of part of households' non-market production within the production boundary and the use of a satellite account for recording the other part. The 2008 SNA production boundary includes subsistence production in agriculture, other goods produced by households for their own consumption, the own-account construction of dwellings and housing services provided by owner-occupied dwellings, and paid services of domestic servants in the household sector. Excluded are services generated from unpaid work, including services for the producing household, services for other households and volunteer and community work.
23.128 The 2008 SNA suggests that, in practice, goods produced in households for own use are to be included within the production boundary if the production is believed to be quantitatively important in relation to the total supply of those goods in the country concerned. The ASNA includes an imputation for the market value (less the input cost) of the more common types of such production in Australia (fruit, vegetables, eggs, beer, wine and meat) for inclusion in estimates of household final consumption expenditure. An estimate for such 'backyard production' is also included on the income side of the accounts, as part of gross mixed income.
23.129 A number of commentators, including Ironmonger¹¹³, have expressed concern that the production boundary records only a partial picture of the production of household goods and services and the accompanying use of capital and labour. For example, household members can obtain goods and services by buying them from the market. This activity is fully captured in the national accounts. Households can also produce goods and services entirely themselves, using their own labour and capital. While such production of goods will be captured if it is significant, the production of services (other than housing services provided by owner-occupied dwellings) is not measured in the national accounts. The use of market inputs would be measured in the national accounts to the extent that the non-market production of services involves the use of market inputs.
23.130 The exclusion of most forms of household non-market production of services from the national accounts is due, in part, to the difficulties in measuring non-market output. In particular, non-market activities, by their very nature, must be valued using imputations and it is not always clear what these imputations should be. Also, it is more difficult to define non-market production than to determine the scope of market activity. Because of these concerns, national accountants generally hold the view that broadening the accounts to include a wide range of non-market activity would produce a less useful tool for analysing overall economic activity.
23.131 Nonetheless, as economic activity crosses over from non-market to market, or vice versa, this can lead to distortions in the accounts. A classic example is the marriage of a housekeeper to his or her employer. Prior to the marriage, the housekeeper's output (presuming that housekeeper was being paid a wage) was included in GDP. After the marriage, the same output is excluded if the new spouse is not paid a wage; however, there has been no change in underlying economic activity. Only the institutional arrangements underlying the activity have changed.
23.132 In order to provide a more comprehensive picture of economic activity, the 2008 SNA suggests that satellite accounts be used. Household satellite accounts are where the concepts, in particular the production boundary, underlying the core accounts are altered, but they do this in such a way that there are clear linkages with the core accounts. These can be compiled in both monetary and non-monetary terms. Thus, it would be possible, for example, to make non-monetised comparisons based on time spent in formal and informal economic activity as well as to monetise unpaid work, if so desired. Therefore, a household satellite account can provide comprehensive information on household economic activity within a framework that is consistent with the core national accounts, without subjecting the core accounts to the vagaries associated with defining and measuring household non-market output.
23.133 It is possible to widen the scope of household activity to look at frameworks that encompass not only household production but also describe consumption, saving and accumulation of wealth activities in households. This could be done at either the macro or micro level; that is, at the level of the household sector as a whole or disaggregated by types of household. A macro framework has been developed by Eurostat and a provisional micro framework has been developed by the ABS. Statistics Netherlands has developed a framework that seeks to show macro-micro linkages. Each of these frameworks is discussed below.
Valuation approaches
23.134 As mentioned above, one of the main issues in measuring non-market household production is to determine an appropriate method for valuing the production. Three approaches have been suggested:
- the unpaid work approach;
- the input approach; and
- the output approach.
23.135 The most common method used to date has been the unpaid work approach, which takes account only of (unpaid) working time and its imputed value. ABS studies to date have used this approach.
23.136 The input approach values household production as the sum of the values of all its inputs: time use, intermediate consumption, and capital costs.
23.137 The output approach values household production at its imputed output value, in the same way that in-scope household non-market production is valued in the core national accounts.
Unpaid work approach
23.138 The essence of this approach is to multiply hours of unpaid work, usually obtained from a time-use survey (TUS) by an appropriate wage rate. The first Australian unpaid work study, published in 1990, used data from a 1987 pilot TUS. Three basic methods of valuation were used:
- the opportunity cost method;
- the individual function replacement cost method; and
- the housekeeper replacement cost method.
23.139 Each of these methods used wage rates that were on a 'before-tax', or gross, basis.
23.140 The second study, completed in 1994, used data from the first national TUS of 1992, and retained these three methods. It refined the housekeeper replacement cost method, and also distinguished between a gross opportunity cost method and a more appropriate net opportunity cost method, based on after-tax wage rates. The individual function and housekeeper replacement cost methods remained on a gross basis.
23.141 The third Australian study, completed in 2000 and based on the results of the 1997 national TUS, used the same methods as the second study. The study also introduced a hybrid of the individual function and housekeeper replacement cost methods.
23.142 A more detailed discussion of this approach is outlined in the Unpaid work section below.
Input-based approach
23.143 Under this approach, the household is regarded as a production unit in which commodities and services are produced by combining work, intermediate consumption and household durables. This approach allows for better integration of household production into the system of national accounts. The formula used is as follows:
Value of labour | |
+ | wages paid to domestic servants |
+ | taxes less subsidies on production |
= | net value added |
+ | consumption of fixed capital |
= | gross value added |
+ | intermediate consumption |
= | gross output |
23.144 This formula is similar to that used in the national accounts to value the non-market output of the general government and non-profit institutions serving households sectors. The input-based approach was used by the German Federal Statistical Office in its estimates of the value of German household production in 1992.
23.145 The input-based method is used to measure the non-market output of households, such that the value of labour component relates to unpaid labour. Accordingly, the observations in the preceding section on the unpaid work method also pertain to this component.
23.146 The taxes less subsidies on production component refers to transfer payments made by households to governments and vice-versa that are recorded as secondary income transactions in the core national accounts but would be considered to relate to non-market household production. These transfer payments would then be reclassified in the household satellite account.
23.147 The consumption of fixed capital component relates to the depreciation of household durables used in the household production process. In the core accounts, purchases of durables (e.g. motor vehicles, refrigerators, washing machines) by households are recorded as final consumption expenditures and not as capital formation. In the satellite accounts, household expenditure on consumer durables would need to be reclassified from final consumption to gross fixed capital formation.
23.148 The more difficult aspect of measuring the consumption of fixed capital component would be in actually determining the appropriate amounts of depreciation in each period. The 'perpetual inventory method' (PIM) would require information about the decline in the efficiency of assets as they age, asset lives, the distribution of these lives about the average life, and changes in the price of assets. The ABS currently provides estimates of the stock of household durables as a memorandum item in the national accounts balance sheets. These data could be used as a starting point for deriving estimates of consumption of fixed capital.
23.149 The intermediate consumption element would consist of goods and services acquired by households that are used up in household production. To the extent that this production fell outside the production boundary, measuring the associated intermediate consumption would require identifying and reclassifying expenditures treated as final consumption in the core accounts. For some goods or services, it would be reasonable to assume that all expenditure on them should be classified to intermediate consumption. For example, meat purchases would all be classified to intermediate consumption because meat products generally have to be prepared or cooked before they are ready for a meal. Other goods or services could be used in production or as final consumption. For example, ice-cream can be eaten as such or used as an ingredient in desserts. As it is usually eaten directly, it would probably be allocated to final consumption. On the other hand, fruit, even though it is eaten mostly fresh, might have to be allocated to intermediate consumption as most fruits that are eaten fresh need to be rinsed, peeled, stored and distributed. The alternative to allocating expenditure on a particular product to either intermediate consumption or final consumption would be to split expenditure based on studies of the use of the product.
23.150 In deciding which expenditures should be classified as capital and intermediate in the household satellite account, the ABS would consider work already undertaken internationally in this area.
23.151 Estimates of household production developed using the input-based method could be presented in their own right or used to develop alternative estimates to those shown in the core accounts.
Output based approach
23.152 In the output-based valuation method, the gross output from household non-market production is valued by multiplying the volume of household output for different activities by market-equivalent prices for each activity. The rationale for this approach is that market goods and services could replace those generated in the household; therefore, the most appropriate way of valuing household non-market production is to use the prices of similar market production. Under the output-based method, the gross value added in household production is equal to the value of gross output less the value of intermediate inputs (where intermediate inputs are as described in the preceding section).
23.153 This method is considered to be the best for comparisons with national accounting aggregates, which are generally based on the use of market prices for valuing output. Valuing output in this way ensures that outputs are valued independently of their inputs, and avoids problems arising because of productivity differences between market and non-market producers.
23.154 The output-based approach resolves the issue of the joint production of services through simultaneous or parallel uses of time. The value of the labour used simultaneously can be found by deducting intermediate inputs and capital costs from the market value of the joint outputs.
23.155 The data requirements for the output-based approach are extensive and not readily available, particularly data on the volume of household output for different activities and corresponding market-equivalent prices. For this reason, there have been very few output-based studies to date.
Examples of household satellite accounts
Input-output tables
23.156 A satellite account for household production could be presented in the form of an input-output table. Such a presentation would provide breakdowns of the value added (into capital and labour components) and intermediate consumption (into the various types of products used up in the production of household output) for each type of household output. Non-household production would also be shown so that the relationships between the economic activity of households and that of the other sectors of the economy could be explored. Supplementary information on the volume of household outputs or the time spent in the production of the outputs could also be shown. The value of household outputs could be derived using either the input- or output-based methodologies.
23.157 Ironmonger and others have argued that the development of such an input-output table is essential for a proper analysis of household economic activity. Thoen lists the advantages of placing household production within an input-output framework:
Household production can be linked to the SNA through the development of a satellite account with links through 'personal expenditures' which are common to both accounts: the complex interdependence between household and market activities in terms of the raw materials, intermediate goods and services, or labour inputs required to produce outputs can be analysed within a familiar accounting framework: the impact of macroeconomic policy on the 'household sector of the economy' can be analysed in terms of the substitutability of market supplied services for household production and the household capital/labour ratio and, consumer demand can be linked to the underlying household activities.¹¹⁴
23.158 Deriving a household satellite account in the form of an input-output table would be a more difficult exercise than deriving estimates of household production in aggregate because each of the components of production (labour, capital and intermediate consumption) would have to be allocated across the various types of household products. Ideally, this would be done based on studies of the various types of household activities. In the absence of pre-existing studies, it would be expensive to undertake such studies and it is highly unlikely that such expense could be justified. Alternatively, in cases where the allocation of a component is not clear-cut, indicators (such as the time spent on activities) could be used as a basis of allocation. This would reduce the usefulness of the input-output approach, as any analysis based on the relationship between inputs and outputs would be affected by (unknown) errors in the allocation process.
Eurostat proposal
23.159 Eurostat commissioned Statistics Finland to develop a harmonised satellite system of household production. The Eurostat proposal is based on the European System of National and Regional Accounts (ESA 95), which is broadly consistent with the 1993 SNA. While Eurostat acknowledges that the output-based method has analytical advantages compared with the input-based method, it advocates the latter as the basis for measuring household production as there are currently insufficient data available to implement the former. The proposal however recognises that an output-based method could eventually be implemented. The focus of the system is the production account. The proposal has guidelines for adjusting the core income and capital accounts to provide comprehensive information on the consumption, income, saving and wealth of households. Such information would increase the analytical usefulness of the system as a whole.
23.160 If a satellite production account could be compiled that covered household production comprehensively, relatively little effort would be required to compile consistent income and capital accounts along the lines suggested in the Eurostat proposal.
Household income, consumption, saving and wealth (ICW)
23.161 The ABS has been at the forefront in the development of a conceptual framework for household income, consumption, saving and wealth (ICW). This framework was developed by the ABS in response to the process of revising the provisional 1977 United Nations (UN) Guidelines on Distribution of Income, Consumption and Accumulation of Households (known as M61). The UN guidelines were issued to assist countries to collect and disseminate income distribution statistics and to provide for international reporting and publication of comparable data. The provisional guidelines had a particular emphasis on linking income distribution statistics to current national accounting standards; they relate to the 1968 version of the System of National Accounts. There have been continuing demands for revisions to the 1977 UN guidelines to supplement the 1993 SNA. In particular, a need is seen to broaden the concept of income and develop analytical techniques to measure income inequality.
23.162 The ABS framework, published in A Provisional Framework for Household Income, Consumption, Saving and Wealth, describes how the range of flows and stocks of household economic resources can be brought together to provide a comprehensive measure of economic wellbeing for individual households. The framework also provides a conceptual link between these components of individual household economic wellbeing and those of the national economy as a whole. As such, the concepts and terminology used in the ICW framework are consistent with those used in the national accounts. Concepts, definitions and terminology have been modified where necessary because the focus of the ICW is on the individual household, rather than the household sector.
23.163 More specifically the framework is designed to allow for the measurement of:
- a household's power or command over economic resources;
- the extent to which a household is able to both consume and accumulate wealth and to make choices between these options; and
- the changes that take place in a household's economic wellbeing over time.
23.164 Together, these measures constitute a model that reconciles the various elements of income, consumption and net worth at the individual household level. Such a reconciliation will enable derivation of measures of both household saving and total accumulation of wealth. The ICW presents a synthesis between economic and social statistics, particularly as they relate to the household economy. The framework, however, has a provisional status, and the ABS has not yet begun to make it operational.
23.165 It is worthwhile elaborating on the differences between the ICW and the Eurostat satellite accounting system for the household. Eurostat's system focuses on the macro-side of the economy, with the household sector being the main statistical unit. The production side of the household economy tends to be the central area of analytic interest. Production and generation of income accounts are seen as 'crucial' for the system of household satellite accounts. The input-output tables are a detailed elaboration of the household production account but represent only one part of a system of accounts for the household sector. The Eurostat framework does not provide as detailed an insight into the income flows and financing decisions of households as the ICW system does. It has guidelines for an extended system of accounts that describes the behaviour of the household sector in relation to consumption, disposable income and wealth. The ICW focuses on the micro-side of the economy, with four possible statistical units to measure the economic wellbeing of the population: persons, households, families and income units. The area of analytic interest is broader than the Eurostat central focus on production, with emphasis on how economic resources are mobilised within households and affect the different variables of household income, consumption, saving and wealth. Considerable work would be needed to further integrate the two systems. Integration would give better information on the dynamics of individual households, the household sector and the linkages to the market economy.
The Netherlands approach
23.166 The Netherlands Central Bureau of Statistics started the development of satellite accounts of household production in 1991, using data from their national TUS conducted in 1987. Another TUS was conducted in 1998 and the data from that TUS are to be incorporated in the development of a System of Economic and Social Accounting Matrices and Extensions (SESAME), a form of a social accounting matrix (SAM). Traditionally, SAMs have been applied to specific types of analysis, focusing on causes and consequences of various aspects of inequality among household groups.
23.167 A SESAME is a 'core' SAM that has associated satellite tables and it provides a set of monetary and non-monetary macro-indicators potentially encompassing social, economic and environmental change. Such an integrated set of satellite tables can show:
- various stocks underlying the SAM flows, such as size and composition of the population by household group (including the potential labour force), production capacity by industry and the possession of assets (e.g. agricultural land, consumer durables and financial assets) and liabilities (e.g. external debts) by sub-sector;
- a decomposition of (changes in) values into (changes in) volumes and prices: this refers not only to products but also to various categories of labour services, and to fixed capital formation by industry;
- related non-monetary socioeconomic indicators, such as life expectancy, infant mortality, adult literacy, nutrient intake, access to (public) health and education facilities, and housing situation by household group; and
- some re-routings (e.g. final consumption by household group paid for by government and non-profit institutions serving households).
23.168 The Dutch system utilises an extra layer of operational principles to define the framework of its SAM for the household economy. In addition to defining productive activities by utilising the third person criterion (Chapter 3), it also defines productive activities in terms of formal and informal activities. The operational principle used is as follows:
23.169 Informal activities are productive activities which do not contribute to the national income as currently defined, and in which unpaid labour is involved.
23.170 When these principles are operationalised into a SAM there is a consistent representation of both the production processes and the income distribution and income spending processes. The system makes explicit the linkages between the formal and informal economies in terms of production and income generation and distribution and has entry points for data on fixed capital and consumption of fixed capital in the informal economy.
23.171 A key feature of this system is that goods and services in the informal sector are not always given a monetary valuation. The SAM is split up into two parts, making the module independent from the valuation of informal labour. The first part shows all transactions, expressed in monetary value, with the value of informal labour as zero. In the second part, all informal transactions are expressed in informal labour equivalents, such as working years, derived from the TUS. The Dutch see this framework as allowing formal and informal labour to be merged without disturbing the consistency in valuation. Various kinds of multiplier analyses can be applied where pricing is not a prerequisite. Future extensions will include informal fixed capital formation and a further disaggregation of labour by type, for example, by education level or position within household. Any number of disaggregations and micro-economic analyses could be made if the data were available, for example, data by household type. At this stage the framework is in place but very few of the cells have been developed.
Endnotes
Unpaid work
Production boundary and unpaid work
23.172 In the 2008 SNA, the 'general production boundary' is defined in paragraph 6.24 as encompassing all activities 'carried out under the control and responsibility of (institutional units) that use inputs of labour, capital and goods and services to produce outputs of goods and services'. Most unpaid work fits within this definition. The production boundary used in the 2008 SNA is more restricted than the general production boundary. Production is defined in paragraph 6.27 as excluding the value of most unpaid work and as comprising:
- the production of all goods and services that are supplied to units other than their producers, or intended to be so supplied, including the production of goods or services used up in the process of producing such goods or services;
- the own-account production of all goods that are retained by their producers for their own final consumption or gross capital formation;
- the own-account production of knowledge-capturing products that are retained by their producers for their own final consumption or gross capital formation but excluding (by convention) such products produced by households for their own use;
- the own-account production of housing services by owner-occupiers; and
- the production of domestic and personal services by employing paid domestic staff.
23.173 Therefore, the 2008 SNA excludes from production all own-account production of services (which are the equivalent of 'unpaid household work') within households other than services produced by employing domestic staff and housing services produced by owner-occupiers. The 2008 SNA also omits from production the value of volunteer and community work that is provided free by householders to non-profit institutions or other households. The value of this work is not included in the costs of production of the recipients of the services generated by the unpaid work.
Definition and scope
23.174 A prerequisite for the measurement of total unpaid work is a satisfactory definition of what constitutes such work. The boundary between productive and non-productive activity is not clearly distinguishable in many cases. For example, the distinction between unpaid work and leisure is often very difficult to draw.
23.175 A widely accepted principle for determining the scope of total unpaid work is the 'third person' or 'market replacement' criterion originally stated by Reid in 1934, and re-quoted by many writers:
23.176 Household production consists of those unpaid activities which are carried on, by and for the members, which activities might be replaced by market goods or paid services, if circumstances such as income, market conditions and personal inclinations permit the service being delegated to someone outside the household group.¹¹⁵
23.177 Under this criterion a household activity would be considered as unpaid work if an economic unit other than the household itself could have supplied the latter with an equivalent service.
23.178 Arguments can be made for and against the inclusion of some of the activities that would qualify as unpaid work by applying Reid's 'third-party' criterion. Many household activities that meet the Reid criterion, for example cooking and shopping, could be considered leisure activities in a number of circumstances. In the Australian studies, travel to/from work has been excluded from unpaid work because it is not possible to hire someone to travel to work on one's behalf and it is also clearly associated with paid employment rather than household production. Work done from home in relation to paid employment (for example, telephoning clients) which is unpaid but frequently a necessary part of the job, has been classified with paid activities and excluded from estimates of unpaid work. The unpaid assistance provided by relatives and others in family businesses has also been excluded, as the value added by such activities is already included in production in the national accounts.
23.179 Caring for others, for example playing with children, from some perspectives is a debatable inclusion in unpaid household work, even though it satisfies the third person criterion. Individuals perceive the status of these activities differently. Some people would view the raising of children as unpaid work, while others would view it as something more akin to leisure. Some would argue that these caring activities should not be classified as work or leisure but something else—they are activities that satisfy biological and cultural codes of behaviour to ensure desirable outcomes for the whole of society. Despite these reservations, the Australian studies include caring in the scope of unpaid household work. The ABS continues to recognise that the distinctions between paid work, unpaid work and leisure are still subject to world-wide debate and refinement.
23.180 In summary, unpaid work is defined in the Australian studies as comprising unpaid household work and volunteer and community work. Unpaid household work consists of domestic work about the house, childcare and shopping and associated communication and travel. The following list gives a broad indication of the activities included under various categories of unpaid work.
- domestic work has been classified into broad groups as follows:
- food preparation and clean-up: includes the cooking and serving of meals, and washing dishes;
- laundry and clothes care: includes washing, ironing, mending and making clothes;
- general housework: includes cleaning the bathroom/toilet, vacuuming, dusting and tidying;
- grounds and animal care: includes gardening, pool care and feeding and tending to animals;
- home maintenance: includes repairs or improvements to the home, equipment, and motor vehicles and chopping wood; and
- household management: includes paperwork, bills, budgeting, organising, packing, selling household assets and disposing of rubbish.
- childcare – includes the physical, emotional and educational care of children and general interaction with, and supervision of, children;
- shopping – includes the purchasing of a wide range of goods and services for people in the household - purchasing durables and consumer goods and purchasing repair services, administration services, childcare, domestic and gardening services etc.;
- volunteer and community work – includes the physical care of adults, doing favours for others and active involvement in various forms of unpaid voluntary work; and
- all communication and travel associated with unpaid work is also included within the scope of unpaid work.
Valuation methods
23.181 Two basic approaches to measuring unpaid work are identified: the 'direct' or 'output' method; and the 'indirect' or 'input' method. The first method involves the measurement of output by direct observation of prices and requires data on the quantities of services produced. This method is considered to be conceptually superior because it adopts the same approach as that as used to value market production and is therefore appropriate for comparisons with national accounting aggregates. In general, data to apply the output method are not available and the ABS, like most statistical agencies, has used ‘indirect' or 'input' methods to measure the value of unpaid work.
23.182 'Indirect' or 'input' methods involve valuing output in terms of the cost of inputs and require information about the time spent on household work which, in Australia, is provided by TUSs. It is similar but not identical to the approach adopted in the 1993 SNA for valuing other non-market output, for example, non-market services produced by government. However, non-market output is valued using all relevant costs of production. In valuing unpaid work, the ABS and most other practitioners use only labour inputs. There are two broad approaches to this application of the input method:
- The market replacement cost approach: that is, what it would cost households in wages to hire others to do the household work for them. Three variants of this approach are:
- individual function replacement cost approach;
- housekeeper replacement cost approach; and
- replacement cost hybrid approach.
- The opportunity cost approach: that is, what household members would have earned in wages had they spent the same amount of time on paid work as actually spent on unpaid work. Two variants of this approach are:
- gross opportunity cost approach; and
- net opportunity cost approach.
23.183 The ABS recommends the replacement cost approaches in preference to the opportunity cost approaches. However, estimates based on opportunity cost have continued to be derived to provide data that can be compared with opportunity cost estimates produced in the past or by other countries.
Replacement cost approach
Individual function replacement cost approach
23.184 The individual function replacement cost approach assigns values to the time spent on unpaid work by household members according to the cost of hiring a market replacement for each individual function. Thus, for example, time spent on cleaning is valued using a rate of pay for commercial cleaners, and time spent on child minding is valued according to the rate of pay for childcare workers. Use of this method is based on the key assumption that household members and market replacements are equally productive in their work activities.
23.185 It is not easy to determine an appropriate market rate of pay for household activities because commercial rates may embody a level of skill, responsibility or capital not required or reflected in household work.
23.186 The estimates derived using the replacement cost approaches will underestimate or overestimate the contribution of unpaid work to GDP depending on the relationship between the productivity of households and the market sector. If households and market producers are equally productive, that is, if they have the same average output per hour, the replacement cost approaches undervalue unpaid work by ignoring the contribution of non-labour inputs (e.g. capital). If households are more productive, the replacement cost approaches further understate the value of unpaid work because a household will do more work in a given time than a replacement would. If, on the other hand, households are less productive, (if they have, say, access to less capital or technology), the value estimates will be too high because they will be derived by multiplying market wages by the longer time that will be taken by households to do the same amount of work.
23.187 Two questions concerning the choice of an appropriate average wage concept are:
- Whether gross or net wages are most appropriate?
- Whether actual or paid working time should be used?
23.188 In the Australian compilations for 1992 and 1997, a gross wages concept, weekly ordinary time earnings, was preferred.
23.189 It could be further argued that total labour costs should be used, including employers contributions to superannuation, fringe benefits and workers compensation schemes. However, such data are not available in Australia by occupation on a per hour per employee basis. For this reason estimates of unpaid work including such additions to gross wages have not been calculated.
23.190 Regarding use of actual or paid working time, the latter is determined by law or collective agreements, and includes paid holidays and paid sick leave. Actual working time refers to the time spent actually working and includes paid and unpaid overtime but excludes public holidays and weekends (except in cases where a worker does work at those times).
23.191 In Australian studies the concept of paid working hours was used. Hourly wage rates were obtained by dividing weekly ordinary-time earnings by ordinary-time hours paid for. (Ordinary-time excludes overtime.) 'Ordinary-time hours paid for' refers to employees' standard or agreed hours of work that are paid at the ordinary-time rate. It includes stand-by or reporting-time hours that are part of standard hours of work, and any part of annual leave, paid sick leave or long service leave taken during the reference period.
Housekeeper replacement cost approach
23.192 The housekeeper replacement cost approach values the time spent on unpaid household work by household members according to the cost of hiring a housekeeper to undertake the relevant tasks.
23.193 The key assumption underlying this approach is that household members and housekeepers are equally productive in performing household work, which may or may not be true. For example, a housekeeper is likely to be more productive at cleaning than a household member who may also be looking after small children. Alternatively, a housekeeper may clean more quickly but less thoroughly than the household member. Use of this approach also assumes that there is a well-established labour market for persons who undertake all household tasks, which is not the case in Australia in the 1990s.
23.194 In both the 1992 and 1997 estimates, a female wage rate for domestic housekeepers was used as there was no male wage rate available. The tasks identified in the category included:
- preparing, cooking and serving meals and refreshments;
- purchasing food and household supplies;
- washing dishes, kitchen utensils and equipment, sweeping and washing floors and vacuuming carpets, curtains and upholstered furnishings;
- dusting and polishing furniture, and cleaning mirrors, bathrooms and light fixtures; and
- washing and ironing garments, linen and household articles.
23.195 In the 1992 and 1997 estimates, the housekeeper wage rate was used to value all household tasks including those that would not normally be undertaken by a housekeeper.
23.196 The housekeeper replacement cost approach is only applicable to the derivation of the value of unpaid household work and does not apply to the derivation of the value of volunteer and community work. Estimates of the value of total unpaid work under a housekeeper replacement cost heading are derived by adding estimates of unpaid household work derived using the housekeeper replacement cost approach to estimates of volunteer and community work derived using the individual function replacement cost approach, based on the persons wage rate.
Replacement cost hybrid approach
23.197 Under this approach, the housekeeper wage rate was applied to those tasks normally carried out by a housekeeper (as described in the previous section). The value of tasks not normally undertaken by a housekeeper was estimated using the wage rates employed in the individual function replacement cost approach. The hybrid approach would appear to be appropriate given that Australians typically hire housekeepers to clean house interiors, manage laundry and occasionally prepare meals while they hire specialists to carry out childcare, household maintenance and gardening tasks. The hybrid approach was not used in the compilation of the published estimates for 1992.
Opportunity cost
Gross opportunity cost
23.198 The gross opportunity cost approach values unpaid work in terms of the earnings assumed to be foregone by householders when they devote time to unpaid work rather than paid employment. The approach assumes that the value of time spent doing unpaid work at home equals its 'opportunity cost' elsewhere, i.e. the valuation of the next best alternative use. The assumption is made that the worker has given up paid work to perform unpaid work and that its value per hour is equal to the individual's marginal hourly wage in the market. In other words, to do an extra hour of unpaid work, an hour of paid (market) work is given up. However, in practice, the total time spent on unpaid work is multiplied by the average wage applicable to relevant groups in the population.
23.199 There are many problems with this approach. Some reservations are outlined below:
- Labour market structures – the gross opportunity cost approach does not represent the way the choice between paid and unpaid work is made. Most workers have limited choice in the short run regarding the hours they have to work and few have the option to refuse overtime.
- Employment status – this method does not hold up well when patterns of labour force participation other than a rigid fixed-hours working week are considered.
- 'Psychic income' – a probably unquantifiable but theoretically precise valuation would take account of the worker's net psychic income from doing unpaid work and from doing paid work, i.e. where the net psychic benefit equals the psychic benefit from doing unpaid work minus the psychic benefit from paid employment.
- Relevance of market wage rates for individual workers – the question is how is the 'foregone wage' to be determined when an unpaid household worker has had no market employment and therefore an indeterminable potential wage?
23.200 Opportunity cost measures tend to be higher than those for the housekeeper replacement cost approach because wages for professional housekeepers are lower than the economy-wide average wage which is used for the opportunity cost approach. In view of the above discussion, the opportunity cost approach will give useful results only if very strict and probably implausible assumptions apply:
- at the margin, time devoted to unpaid work precludes market work;
- the value of time at the margin is gross hourly wages; and
- the average potential hourly earnings of the not employed are equal to the average hourly earnings of the employed.
23.201 In the Australian studies relating to 1992 and 1997, estimates of unpaid work using the gross opportunity cost approach have been produced using average male and female wage rates, and also using the persons' average wage rate. The ABS regards the gross opportunity cost approach as the least appropriate of the estimation methodologies.
Net opportunity cost
23.202 The decision to undertake paid work as an alternative use of time to unpaid work could reasonably depend on the remuneration (wages and salaries, superannuation, and fringe benefits) after tax and any work-related costs. The net opportunity cost approach recognises this and recommends valuation of unpaid work at the after-tax hourly wage rate less work-related expenses plus income by way of employer costs of superannuation and fringe benefits.
23.203 The rationale behind this approach is that the unpaid worker will be equating the value of doing unpaid work with the net benefit of working in paid work conferred by this 'adjusted' hourly wage rate. In the Australian context, estimates of the wage rate applicable to a net opportunity cost valuation are derived by subtracting from average annual ordinary time earnings, the relevant taxes and levies payable and work-related expenses, and adding to the result the imputed employer on-costs relating to superannuation and fringe benefits and then converting the final result to an hourly wage rate.
23.204 The calculation of the net opportunity cost wage rate is really an attempt to find the appropriate and most realistic net wage rate. Ideally, a number of other factors should also be taken into account, if it were possible to measure them. For example, there is the question of whether tax rebates and social security benefits should be considered. In the Australian context, these include family allowances, family income supplements, medical insurance rebates, and a variety of means-tested welfare programs. Indeed, the net opportunity cost of working in the paid work force could well be negative in some cases.
Data sources
23.205 The preparation of the 1997 estimates of total unpaid work presented in this paper required the following sets of data:
- estimates of average time spent on household work obtained from the 1997 TUS;
- population estimates from the Census of Population and Housing;
- appropriate wage rates from the Survey of Employment, Earnings and Hours as well as the Labour Force Survey; and
- work related expenses from the Household Expenditure Survey.
Limitations
23.206 The main limitations of the unpaid work approach are:
- the contribution to the value of household production that comes from other inputs (e.g. intermediate consumption and capital) is not captured;
- it cannot provide information on the labour productivity of household production;
- it cannot be used to analyse whether households are more efficient in their production than comparable market units;
- it does not take into account the joint production of services through simultaneous or parallel uses of time; and
- a choice is required among multiple wage rates and valuation methodologies, each of which have their limitations.
23.207 With regard to the last point, the pros and cons of the various approaches are well summarised in a 1999 Eurostat document entitled, Proposal for a satellite account of household production.¹¹⁶ (This proposal is discussed in more detail in the section 'The Eurostat Proposal'.) The document provides the broad consensus of national accountants in Europe about the preferred method of valuation of the labour input into household production. Of the possibilities, Eurostat recommends that the housekeeper replacement cost method is the most appropriate method to use to value household labour. The reasons cited include:
- the nature of the work performed by a housekeeper is rather similar to the nature of housework performed by a household member;
- housekeeper productivity is similar to that of the householder, as regards the performance of several household activities simultaneously, the quality of household equipment used and the amount of intermediate consumption involved; and
- the method of valuation is simple and straightforward.
23.208 A potential problem with the housekeeper replacement cost method is that a housekeeper does not perform all the tasks undertaken in households, such as household management, home maintenance, servicing vehicles and volunteer work. Using this approach then could possibly see an undervaluation of the labour input to household production unless those tasks not typically undertaken by a housekeeper were also included in the valuation on the basis of specialists' wages (in effect, utilising a hybrid of the housekeeper replacement cost and individual market replacement cost methods).
23.209 As to the issue of gross or net wages Eurostat recommends that gross wages, which include income tax and social security contributions paid by the employer and employee, be used, although it acknowledges that net wages do have certain advantages from a theoretical point of view. However, net wage statistics are generally not available on an occupational basis. (This is one of the reasons that Australia uses the gross wage concept in its valuation of unpaid work using the replacement cost methods).
Endnotes
Environmental-economic accounts
Introduction
23.210 This section describes the notion of environmental-economic accounts and the underpinnings of the environmental-economic accounts produced by the ABS. Those accounts follow the recommendations of the United Nations' System of Environmental-Economic Accounting (SEEA). The SEEA is an international statistical standard that had its genesis as a satellite system of the SNA. As a result, the SEEA utilises concepts, structures and methods that are largely consistent with those used in the SNA, allowing the SEEA to integrate environmental and economic information within a single framework.
23.211 Over the past 50 years, macroeconomic policy has largely been based on information flowing from the SNA framework and the aggregates it produces. However, gross domestic product and national income fail to capture many vital aspects of national wealth and well-being, such as changes in quality of health, extent of education, social connection, political voice, unpaid household work, and changes in quality and quantity of natural resources. Further, GDP actually includes ''defensive expenditures'' such as spending on household security, health and environmental protection. This is because the SNA measures activity within ''the market''.
23.212 It is well understood that much of what maintains and enhances well-being occurs outside the market. For example, environmental goods and services are considered 'non-market' within the SNA, and well within the production boundary. They are implicitly superabundant, free inputs to production. As a result, they are used as inputs to production, but not charged as costs of production; in effect:
23.213 A country could exhaust its mineral resources, cut down its forests, erode its soil, pollute its aquifers, and hunt its wildlife to extinction, but measured income would not be affected as these assets disappeared.¹¹⁷
23.214 A key limitation of the economic information system is that it cannot answer some of the higher order questions policymakers (and society) are asking. In particular, it does not appropriately describe the relationship between the environment and economy.
23.215 Therefore, a comprehensive analysis of environmental issues, and the policy responses to deal with these, must be informed by socio-economic information about drivers, pressures, impacts and responses. This information should be integrated with the associated bio-physical information so that relationships and linkages can be properly understood.
23.216 Environmental-economic accounts provide a conceptual framework for integrating the environmental and economic information systems. Similarly, organising environmental and economic information into an accounting framework has the capacity to improve basic statistics, and allows for the calculation of indicators which are precisely defined, consistent and interlinked, as illustrated in the figure below:
Figure 23.1 The information pyramid
Endnotes
The System of Integrated Environmental and Economic Accounting
23.217 The conceptual model adopted by the ABS and the international statistical community for environmental accounts is the United Nations' System of Environmental-Economic Accounting (SEEA). SEEA was endorsed by the United Nations Statistical Commission as an international standard in February 2012. The structures, concepts and classifications used in the SEEA are consistent with those used in the SNA, meaning that accounts produced under the SEEA support the bringing together of environmental and economic information within a common framework. This allows for consistent analysis of the contribution of the environment to the economy, the impact of the economy on the environment, and the efficiency of the use of environmental resources within the economy.
23.218 The SEEA framework, like the SNA, utilises flow and stock accounts containing estimates expressed in both physical and monetary terms. More broadly, the SEEA utilises the following four types of accounts:
- Physical flow accounts record flows of natural inputs from the environment to the economy, flows of products within the economy and flows of residuals generated by the economy. These flows include water and energy used in production (e.g. of agricultural commodities) and waste flows to the environment (e.g. solid waste to landfill).
- Functional accounts for environmental transactions record the many transactions between different economic units (i.e. enterprises, households and governments) that concern the environment. Functional accounts may explicitly identify environmentally-related transactions contained within standard SNA accounts (such flows are not explicitly shown within typical SNA presentations). For example, Environmental Protection Expenditure (EPE) accounts disaggregate traditional national accounting flows to reveal those monetary transactions relevant to environmental protection.
- Asset accounts in physical and monetary terms measure the natural resources available and changes in the amount available. Asset accounts focus on the key individual components of the environment: mineral and energy resources; timber resources; fish/aquatic resources; other biological resources; soil resources; water resources; and land. They include measures of the stock of each environmental asset at the beginning and end of an accounting period and record the various changes in the stock due to extraction, natural growth, discovery, catastrophic loss or other reasons.
The compilation of asset accounts in physical terms can provide valuable information on resource availability
and may help in the assessment of sustainability. A particular feature of the SEEA asset accounts is the
estimation of depletion of natural resources in physical and monetary terms. For non-renewable resources the
quantity of depletion is equal to the quantity of resource extracted but for renewable resources the quantity of
depletion must consider the underlying population, its size, rate of growth and associated sustainable yield.
- The SEEA Central Framework is complemented by two other publications: namely, SEEA Ecosystem Accounting (SEEA EA) and SEEA Applications and Extensions. In terms of the former, ecosystem accounts are a relatively new and developing field. The United Nations Statistical Commission, in March 2021, adopted chapters 1-7 of the System of Environmental-Economic Accounting—Ecosystem Accounting (SEEA EA) as an international statistical standard. In the same document, chapters 8-11 present internationally recognised statistical principles and recommendations for valuation of ecosystem services and assets. The SEEA Ecosystem Accounting (SEEA EA) constitutes an integrated and comprehensive statistical framework for organising data about habitats and landscapes, measuring the ecosystem services, tracking changes in ecosystem assets, and linking this information to economic and other human activity.Ecosystems are areas containing a dynamic complex of plant, animal and micro-organism communities and their non-living environment interacting as a functional unit. Ecosystem accounts are structured to summarise information about these areas, their changing capacity to operate as a functional unit, and their delivery of benefits to humanity.
- The benefits received by humanity are known as ecosystem services. They are delivered in different forms and are grouped into three broad categories:
- provisioning services – the benefits received from the natural inputs provided by the environment such as water, timber, fish and energy resources;
- regulatory services – the benefits provided when an ecosystem operates as a sink for emissions and other residuals, when an ecosystem provides flood mitigation services or when an ecosystem provides pollination services to agriculture; and
- cultural services – the benefits provided when an ecosystem such as a forest, provides recreational, spiritual or other benefits to people.
23.219 Each of the different types of accounts is connected within the SEEA framework but each one focuses on a different part of the interaction between the economy and the environment. Examples of the relationships between the different accounts include:
- Asset accounts and ecosystem accounts focus on the stock and changes in the stock of environmental assets, with asset accounts focusing on the individual components and ecosystem accounts focusing on the interactions within and between these components.
- Changes in the stock are often the result of economic activity which in turn is the focus of physical flow accounts. Measurement of flows of natural inputs in the physical supply and use tables is consistent with the measurement of extraction in the asset accounts and the measurement of provisioning services in ecosystem accounts.
- Measurement of flows of residuals to the environment as recorded in physical supply and use tables is an important consideration in the measurement of ecosystem services, particularly regulatory services.
- Measures of the flows of natural inputs and residuals can also be related to transactions recorded in functional accounts for environmental protection and resource management, including investment in cleaner technologies and flows of environmental taxes and subsidies. For example, payments for emission permits recorded in functional accounts can be related to the flows of emissions recorded in the physical supply and use tables and to the operating surplus of emitters and final expenditures by households.
- The effectiveness of the expenditure for environmental purposes may, ultimately, be assessed by changes in the capacity of ecosystems to continue their delivery of ecosystem services as recorded in ecosystem accounts.
23.220 These examples serve to highlight the many and varied relationships between the accounts, each taking a different perspective. These relationships are supported using common concepts, definitions and classifications throughout the SEEA.
Valuation
23.221 One of the most challenging aspects of environmental-economic decision-making is obtaining appropriate information to inform trade-offs between the environmental assets that deliver a range of non-market goods and services, including ecosystem services, against development alternatives for which there are clearly defined economic values. The SNA and the SEEA Central Framework include the value of environmental assets that have direct economic values. For example, land, timber, minerals and energy resources are included in the national balance sheet in the Australian System of National Accounts.
23.222 The preferred valuation in the SNA and the SEEA Central Framework is based on market transactions. Some environmental assets (and many ecosystem services) are not transacted in markets; in these instances, non-market valuation techniques must be used. For example, mineral deposits are owned by the Commonwealth and state governments in Australia, and are not sold on active markets; rather, they are extracted under a mining lease arrangement. Under these circumstances, it is recommended that the value of the mineral deposit be calculated as the net present value of future expected income resulting from the extraction of this mineral deposit.
23.223 In some cases, the value of certain ecosystem services may be included in the value of goods and services traded in markets. For example, the value of pollination is captured in the value of agricultural crop production, while tourism operators derive income from the people visiting natural attractions such as Uluru and the Great Barrier Reef.
23.224 The development of standardised methods for identifying and separately distinguishing the value of environmental assets and ecosystem services is an on-going area of work in the SEEA. The recognition of the value of these assets and services potentially provides important information to decision-makers; for example, in informing comparisons between various development alternatives.
Integrating the environmental and economic information systems
23.225 A comprehensive national environmental information system should be built on two pillars:
- the essential bio-physical information pertaining to the state of the environment; and
- the complementary socio-economic information on drivers, pressures, impacts and responses.
23.226 The pillars should be 'integrated' to ensure that the bio-physical and socio-economic dimensions of environmental issues can be considered concurrently in policy formulation and in other decision making. Integration is achieved by the use of common frameworks, classifications and standards. The information in each pillar should be organised so that, for each environmental domain of interest, users could seamlessly move from the bio-physical aspects to the socio-economic aspects and vice versa.
23.227 This implies that there should be a common logic for organising both the bio-physical and socio-economic information. Such logic could be built around the various environmental domains (e.g. water, air, land) organised in a driver-pressure-state-impact-response (DPSIR) framework – as depicted in Figure 23.2 below. The integration of information would also ensure that environmental issues that cut across domains, such as biodiversity and greenhouse gas emissions can be appropriately analysed.
Figure 23.2 The DPSIR framework
23.228 The physical stores of information could be disparate, with the expectation that much of the bio-physical information would be stored by agencies such as the Bureau of Meteorology (BoM) and much of the socio-economic information would be stored by the ABS. However, the information for both pillars would be locatable and accessed through a single portal. From a user perspective, there would be a single virtual information system, although the source of particular information sets would be clearly identifiable within this system.
23.229 To develop such a virtual information system and to achieve integration, the ABS, BoM and other agencies would work in partnership. This would involve working together on relevant frameworks, standards and classifications, as well as the underlying logic for organising environmental information, including determining appropriate metadata requirements. Developing and maintaining the portal would be a joint responsibility of the contributing agencies.
23.230 Figure 23.3 below illustrates the domain that integrated environmental-economic accounts seek to inform – in particular, it is the interaction between the economy and the environment that is the focus of our information framework. The figure further describes the various agencies engaged in integrating environmental and economic information systems, and the location of their primary institutional responsibilities.
Figure 23.3 Integrating information systems - Primary institutional responsibilities
- Australian Bureau of Statistics; Australian Bureau of Agricultural and Resource Economics and Sciences; Department of Climate Change, Energy, the Environment and Water; Department of Prime Minister and Cabinet; Productivity Commission; Treasury; state/territory organisations, etc.
- ABARES; Bureau of Meteorology; Commonwealth Scientific and Industrial Research Organisation; Department of Agriculture, Fisheries and Forestry; Geoscience Australia; Murray-Darling Basin Authority; state/territory organisations, etc.
Changes made to Figure 23.3 Integrating information systems - Primary institutional responsibilities
From 28/10/2024,
Footnotes
- References to the Department of Industry, Science, Energy and Resources have been changed to Department of Climate Change, Energy, the Environment and Water.
- References to the Department of Agriculture, Water and Environment have been changed to Department of Agriculture, Fisheries and Forestry.
- This reflects current administrative arrangements.
ABS integrated Environmental-Economic Accounts
Introduction
23.231 Over the last twenty years, the ABS has produced a range of individual environmental accounts, including accounts for water, energy, waste, land, fish and environmental taxes. The ABS program of environmental accounts is evolving and intends to produce environmental accounts across a greater range of dimensions on a regular basis. This will support the great analytical power of integrated comparisons across dimensions and over time.
23.232 A range of Australian organisations produce environmental accounts. These include the Bureau of Meteorology (National Water Account); Department of Climate Change, Energy, the Environment and Water (energy balances, GHG emissions accounts); the Wentworth Group (regional accounts); and the Department of Agriculture, Fisheries and Forestry (ecosystem accounts). While the degree varies, each of these accounts has links to the SEEA. These accounts are compiled using either Australian principles, such as the Australian Water Accounting Standards (BoM), or as a part of international efforts to monitor particular pressures, such as the GHG emission accounts (DCCEEW).
23.233 A variety of environmental accounts have been compiled by the ABS. These accounts are at different stages of maturity, and some accounts that have been compiled in the past, such as environment protection expenditure accounts, are no longer produced. Other ones are in regular annual production, such as the natural resources on the national balance sheet, or energy and water accounts.
23.234 In some cases, the ABS undertakes substantial primary data collection activity to support the production of accounts, such as for the Water Accounts Australia. In other cases, the ABS does not undertake the primary data collections. For example, the ABS reconfigures existing data for the Energy Account from the energy balances and and emissions data compiled by DICCEEW to match with SEEA and SNA concepts.
ABS collections
23.235 Below is a very brief listing of current and proposed ABS environmental-economic accounts - their key features, followed by a table outlining expected timeframes for their future release.
- Water Account, Australia – annual publication, includes information on the physical and monetary supply and use of water in the Australian economy. It also includes information on water use and consumptive practices of key industries (Agriculture, Water supply, sewerage and drainage services) and households, as well as presenting data cubes for Australia and the States and Territories.
- Energy Account, Australia – annual publication, includes physical supply and use tables that identify physical volumes by industry and energy product; hybrid supply and use estimates; that is, accounts that present related data in both monetary and physical units; physical energy asset tables that identify economically demonstrated reserves of non-renewable primary energy assets; and energy indicators including energy intensity and energy use per household.
- Land Account: land accounts have been produced on an ad hoc basis for various regions and states, including Queensland, South Australia, Victoria and the Great Barrier Reef Region – these accounts include physical and monetary land use by industry, land cover by industry and changes in land cover over time. In addition, land accounts could potentially include terrestrial biodiversity and carbon. The ABS and DAWE are developing a set of National land accounts for release in 2021.
- Waste Account, Australia –presents integrated monetary and physical waste information using an internationally recognised conceptual framework to assist in informing waste policy and discussion in Australia.
- Experimental Environmental-Economic Accounts for the Great Barrier Reef – one-off publication, includes a wide range of environmental-economic accounts, including: marine and terrestrial extent and condition; biodiversity; expenditure on environmental goods and services; provisioning ecosystem services for agriculture, forestry, fishing and aquaculture; regulating ecosystem services; tourism cultural services; water; and carbon.
- From Nature to the Table: Environmental-Economic Accounting for Agriculture – one-off publication representing the first experimental step by the ABS and its data partners to implement the international SEEA for Australia’s agriculture, forestry and fishing industries.
23.236 Other types of accounts, such as those for emissions and material flows, EPE accounts, as well as the classification and valuation of natural resource assets will be addressed in a research agenda.
23.237 Table 23.1 provides a summary of current ABS environmental-economic accounts.
Theme | Stock | Flow | Environmentally Related Transaction |
---|---|---|---|
Water | ✔ Physical, Monetary and Emissions | ||
Energy | ✔ Physical and Monetary | ✔ Physical, Monetary and Emissions | |
Minerals | ✔ Physical and Monetary | ✔ Physical only | |
Timber | ✔ Monetary | ||
Fish | ✔ Physical only | ✔ Physical only | |
Waste | ✔ Physical and Monetary | ||
Greenhouse gas emissions | ✔ Physical only | ||
Land cover and land use (sub national) | ✔ Monetary and Spatial | ||
Environmental Taxes | ✔ Monetary only | ||
Environmental Protection Expenditure | ✔ Monetary only |
Addressing public policy issues
23.229 There has been a significant amount of work done recently to provide data to inform the various public policy debates concerning the environment in Australia and the SEEA framework has been integral to this process. In April 2018 the Australian Government and all states and territory governments agreed on a National Strategy and Action Plan to implement EEA across Australia. The Strategy and Action Plan builds on the efforts of the ABS, and state and territory governments to deliver a nationally consistent approach to Environmental-Economic Accounting.
Chapter 24 Quality of the National Accounts
Introduction
24.1 'Quality' in relation to statistics is a multidimensional concept which embodies the notion of 'fitness for purpose'. In order to assist and encourage informed decision making, statistics need to be not only as accurate as possible, but also timely and relevant. There are often trade-offs between the various aspects of quality, and in order to make economic statistics timely enough to be relevant indicators for the analysis of current or recent economic conditions this is likely to be at the expense of some degree of accuracy. The ABS, in consultation with data users, aims to optimise the various aspects of quality.
24.2 The national accounts program is discussed against the seven quality dimensions of the ABS Data Quality Framework. These dimensions are a view of data quality aspects that determine fitness for purpose and relate to the institutional environment, relevance, accuracy and reliability, timeliness, accessibility, interpretability, and coherence. As well as informing users about quality, the framework also provides feedback to ongoing quality improvement programs within the ABS.
24.3 Underlying these dimensions of quality is the notion of integrity – that statistical policies and practices are guided by ethical standards and professional principles which are transparent. The integrity of the ABS is underpinned by legislation within which the organisation operates, and its willingness to subject its operations and performance to both internal and external scrutiny. The principal legislation determining the functions and responsibilities of the ABS are the Australian Bureau of Statistics Act 1975 and the Census and Statistics Act 1905. These Acts provide that the ABS is headed by the Australian Statistician – a statutory office with an independent status and the authority to conduct statistical collections.
24.4 This chapter describes each of the aspects of quality and assesses the national accounts against them. Compilation of the national accounts is a complex task involving many diverse data sources. It is not possible to provide a single, comprehensive measure of the quality of the estimates. Nonetheless, it is possible to gain an insight into their quality by analysing each of the aspects of quality. To obtain an overall picture, all aspects need to be considered together. However, different users may weight each of the aspects differently, and within each aspect what satisfies one user may not satisfy another. Thus, two users may look at the same set of statistics, with one considering them to be of good quality while the other may think that there are quality deficiencies.
Institutional framework
24.5 The institutional environment relates to the institutional and organisational factors which may have significant influence on the effectiveness and credibility of the agency producing the statistics. This is an important consideration as it enables an assessment of the context in which the statistics are produced, and this may influence the validity, reliability, or appropriateness of the product.
24.6 The ABS’s mission is to assist and encourage informed decision making, research and discussion within governments and the community, by leading a high quality, objective, and responsive national statistical service.
24.7 The legislative framework, organisational structure, planning and quality management practices of a statistical agency all affect the ability of a statistical program to meet user needs efficiently and effectively. The ABS operates within a framework that includes the Australian Bureau of Statistics Act 1975 and the Census and Statistics Act 1905.
24.8 The Census and Statistics Act 1905 provides the Australian Statistician, who heads the ABS, with the authority to conduct statistical collections and, when necessary, to direct a person to provide statistical information. The Act imposes obligations on the Statistician to publish and disseminate compilations and analyses of statistical information and to maintain the confidentiality of information collected under it.
24.9 To ensure impartiality and independence from political influence, the Australian Bureau of Statistics Act 1975 (the ABS Act) sets out the Australian Statistician's independence. The ABS Act requires the Australian Statistician to prepare an annual report on the operations of the ABS for presentation to Parliament. The ABS Act also establishes the Australian Statistical Advisory Council (ASAC). ASAC is the key advisory body to the ABS and provides valuable input to the directions and priorities of the ABS work program. The ABS is financed, via Parliamentary appropriations, for its administration and programs. Its financial statements are audited annually by the Australian National Audit Office (ANAO) and are published in the annual report. Together, these elements provide an environment conducive to the production of high-quality national accounts and other statistics.
24.10 The ABS has an excellent reputation, both at home and abroad, for providing a statistical service of quality and integrity. A key reason for this reputation is that the ABS is willing to subject its operations and performance to both internal and external scrutiny. Some of the ways this is done is through:
- the advertisement of all scheduled release dates for publications up to twelve months in advance
- the use of daily press and media releases to inform users of publications being released each day
- the strict embargo policy, which is known to the public, that ensures impartiality for the release of all publications
- the publication of the ABS three-year Forward Work Program, which describes the ABS program, including the resources to be used, the outputs, the clients and the uses of statistical information, and the proposed developments over the next three years
- the release of information about statistical standards, frameworks, concepts, sources and methods in a range of information papers and other publications
- the inclusion of details of major revisions to published data in the explanatory notes of the relevant publication.
24.11 The ASNA is based on a culture which focusses on quality, and emphasises objectivity and professionalism within the institutional environment of the ABS.
Relevance
24.12 Relevance relates to the degree to which statistical information meets the real needs of users. It involves client liaison, program review, priority setting and assuring that the statistics produced together with the underlying concepts conform to international statistical standards.
Client liaison, priority review and program setting
24.13 The ABS regularly reviews all its statistical programs to ensure they remain relevant to user needs and to ensure capacity is available to provide information on new and emerging issues facing policy advisors and other data users. Each year relative priorities and competing resource requirements of all programs are formally and extensively considered by senior management, generally following consultation with users. The ABS maintains a three year forward work program which is rolled forward on an annual basis. Detailed work programs are developed, resources allocated, and performance indicators are established for each statistical program including the national accounts.
24.14 Ensuring ABS national accounts outputs support decision making is achieved by extensive consultation with users. This happens in a variety of formal and informal fora:
- the Australian Statistics Advisory Council
- the State Accounts User Group (SAUG)
- the Input-Output User Group (IOUG)
- the Productivity Measurement Reference Group
- key client manager discussions
- regular contact with the Commonwealth Treasury, State and Territory treasuries and the Reserve Bank of Australia, particularly through quarterly seminars and discussions
- regular informal contact with other key users such as the Productivity Commission, particularly through their use of national accounts data
- ad hoc meetings with academics and other experts.
24.15 While unmet demand for data is taken seriously, it does not mean that the ABS is currently in a position to move forward in all cases. The major area of unmet demand identified by users relates to the availability of state data. The ABS has greatly improved the coverage of state economic statistics in recent years with ongoing improvements to the state accounts and the addition of state multifactor productivity estimates. Users have indicated a requirement for state Input-Output tables and quarterly GSP. At this stage, the ABS has not been able to pursue their development on the grounds of cost and expected insufficient data quality.
24.16 The Economic Statistics User Group is the key forum for seeking user views on statistical issues, emerging data needs and priorities for the national accounts and other economic statistics. It meets regularly and the membership is drawn to provide a wide-ranging representation of the economic statistics user community.
Concepts, definitions and classifications
24.17 An important aspect of quality is that the concepts, definitions and classifications used in the body of statistics are relevant to, and understood by, users and that, in order to achieve this, national accounts statistics need to be placed in an appropriate conceptual framework.
24.18 The framework used in the ABS in the compilation of national accounts statistics is based on the 2008 SNA. The various editions of the System have been developed over many years and involved the input of international organisations, national statistics agencies, academic experts, and users of economic data. Moreover, it is designed as a set of accounts relevant to the analysis of economic issues. The System is reviewed and updated periodically in order to accommodate the changing structure of economies and contemporary economic issues.
24.19 This publication explains the conceptual framework and estimation methodology for Australia's national accounts statistics. It is published periodically to reflect changes in concepts, sources and methods. To keep users informed, these changes are also documented as they occur in the quarterly and annual publications, Australian National Accounts: National Income, Expenditure and Product and Australian System of National Accounts respectively.
24.20 Adaptations are made to the SNA framework to accommodate domestic perspectives, and to ensure that the ASNA is relevant to domestic users. These are generally done in such a way that the ASNA remains comparable to those of other countries.
24.21 The ABS places great emphasis on ensuring that its economic classifications align with the 2008 SNA and other international standards to ensure comparability across its own economic collections and outputs as well as with those of other statistical organisations. Standard classifications are an essential element for the compilation and presentation of statistics produced by national statistical offices. Their use ensures that statistics are comparable across industry and sector boundaries and can be aggregated from various collections. Within the conceptual framework, the ABS attempts to make the statistics as useful as possible by classifying the data in a number of ways to meet user requirements.
24.22 The 2008 SNA recognises that the core frameworks and classifications will not meet all possible needs for economic accounts data. It therefore recognised the need for 'satellite accounts', which can be used to focus on particular areas of the economy in more detail, or to allow different concepts or coverage, while retaining a link back to the core national accounts system. The ABS has developed a number of satellite accounts in response to user demand and these are outlined in Chapter 23.
24.23 For the national accounts statistics to remain as relevant as possible, resources are devoted to the research and development of new statistics. The outcomes of the research and development program are generally discussed with users, and published in Information Papers, prior to changes being implemented in the statistics.
24.24 The relevance of ABS national accounts statistics is also enhanced by the frequent inclusion of spotlight articles on topics of interest in the quarterly and annual national accounts releases. A full list of articles is included on the ABS website, and includes topics such as the impact of COVID-19; the impact of the drought; the relationship between GDP and employment; accounting for the environment in the national accounts; the underground economy and GDP; long-term trends in industry structure of the Australian economy; and income, saving and wealth.
Monitoring performance
24.25 Evidence that the processes described above are in place is provided by descriptions of the concepts, sources and methods as described in this publication. From the program perspective, evidence of periodic evaluation of the current relevance of each program can be provided and the impact of the results of these evaluations can be assessed.
24.26 Evidence of relevance is also provided by measures of usage, by client satisfaction results and by high profile examples of statistical information influencing or shedding light on important policy issues. Pointing out and publicising new analytical findings also demonstrates relevance.
24.27 The ABS maintains regular contact with key clients and other users of the national accounts to gauge their satisfaction with the services provided, including their views on the relevance of the data, and priorities for future development. Information gleaned from these formal and informal contacts become input into priority-setting processes, the outcomes of which are subject to high-level management review processes.
Accuracy
24.28 For most users, accuracy is the most sought-after attribute of data. Accuracy can be defined as the proximity of an estimate to some notional true value. It is not possible to produce an objective overall measure of accuracy of the accounts because the national accounts draw data from a wide variety of sources, reflecting varying valuations, coverage, frequency, detail and timeliness. Assessments need to be made instead of individual component items within the accounts. Even at this level, the use of multiple data sources in estimating a single item, their variable accuracy over time, and changing compilation methods complicate the picture. As a result, assessment of the accuracy of an item requires a high degree of subjective judgement based on knowledge of the sources, the data and the compilation methods used.
24.29 It can also be useful to make a distinction between the concepts of accuracy and reliability in considering the quality of national accounts statistics. Accuracy is the proximity of an estimate to some notional true value, while reliability is the proximity of initial and intermediate estimates for a particular period to the 'final' estimate for that period. A series which is never revised is reliable, but it may not be accurate. Although reliability can be objectively measured by an analysis of revisions, it is a relative term, and users are likely to have some tolerance to revisions, given the trade-offs with other characteristics of quality.
24.30 In practice, accuracy and reliability tend to be interwoven and reinforcing, at least in Australia's national accounts. Ideally, the size of revisions gets smaller (and the statistics become more reliable) as the estimate for a particular period passes through a sequence of revisions, and the estimate moves closer to the true value (and the statistics become more accurate). In practice, this may not always be the case. Revisions can be reduced by delaying the release of statistics until all or most 'final' data sources are available, but this would mean that the statistics would be less relevant to users. ABS policy is to always aim for the most accurate estimate, even though this may be at the expense of more frequent revisions.
24.31 Judgements can be made as to the extent of error likely to be associated with an estimate by being aware of the factors influencing accuracy. Additionally, historical analyses of the revisions that the ABS makes to its estimates of GDP and its components can provide a quantitative guide to the reliability of the statistics produced.
Factors affecting accuracy
24.32 The range of factors that can influence the accuracy of the national accounts include:
- coverage deficiencies
- input data errors, which include sampling error and error due to the inability of data providers to report on the correct basis, mistakes in the reporting of data, and error due to non-response
- error introduced during the processing of data
- methodological deficiencies
- output error due to inadequate editing and data confrontation.
Coverage
24.33 The scope of the Australian national accounts is exhaustive within the production boundary recommended in the 2008 SNA, with the exception of illegal production. Illegal activity (which relates mainly to illicit drugs) is omitted from Australia's official statistics because it is difficult to measure with sufficient accuracy.
24.34 Illegal activity is one part of the Non-Observed Economy (NOE). The NOE also includes:
- underground production, which is activity which is legal but is deliberately concealed from authorities
- household production for own final use, such as crops and livestock, own-account fixed capital formation and owner-occupied dwelling services
- informal economy production
- the statistical underground, which is production that is missed due to deficiencies in data collection, such as survey non-response.
24.35 By its very nature, the NOE cannot be directly measured. Estimates of it rely on limited indicative information and a variety of indirect methods, all of which can be regarded as contentious. It is likely that an unknown proportion of underground production would be captured in the official GDP estimates due to the data sources used and the estimation methods employed. Nevertheless, it is accepted that additional adjustments for non-observed activity are required.
24.36 The ABS does not attempt to distinguish between the formal and informal sector, as informal production is relatively unimportant in Australia. Estimates, however, are included for the value of dwelling services consumed by owner-occupiers and owner-built construction activities and goods produced by households for own consumption, such as food consumed on farms and home-grown fruit and vegetables. Volunteer services and unpaid housework (such as cooking and cleaning) are excluded, consistent with the recommendations of the 2008 SNA. Estimates for these services have been prepared as satellite accounts; see Chapter 23 for more detail.
24.37 Explicit upward adjustments are made to account for underground activity which is legal, but is conducted in such a way as to avoid detection by taxation and other government authorities. The method used to obtain an estimation of underground activity was to systemically analyse each component of GDP and make judgements as to the maximum feasible level of underground activity, given anecdotal and available evidence from the Australian Taxation Office.
24.38 Issues involved in measuring the Non-Observed Economy are articulated in Information Paper: The Non-Observed Economy and Australia’s GDP.
24.39 The scope of some data collections may be drawn more narrowly for cost or other reasons. For example, the scope may exclude non-employing businesses; some industries; or business under a certain size. A narrower scope is more likely for monthly or quarterly surveys. Data from the taxation system and other sources allows these gaps to be filled. The annual economic collections are designed around the availability of taxation data, and the supplementation brought to the coverage of small businesses, including non-employing businesses. Non-profit institutions are generally exempt from the payment of income tax, such that data for those units has to be collected by the ABS via the annual economic survey.
Input data
24.40 The ABS undertakes a large number of collections that directly feed into the national accounts compilation process. National accounts requirements are a key consideration in the design of these surveys. A range of non-ABS data are either integrated into the survey outputs or are used independently to compile the national accounts. Examples include data from the taxation system, the financial institution regulation system, government financial reporting data, and retail scanner data. External data sources can potentially have issues for quality assurance and measurement, being beyond the control and responsibility of the ABS. Considering these points, the ABS and external sources enter into explicit arrangements concerning roles and responsibilities of the respective agencies; questionnaire content and design; timely data and transference procedures; editing and querying protocols; and appropriate feedback loops to the source agency.
24.41 The quality of ABS statistics is dependent on the application of good statistical methods during the selection and collection phases of a survey. The ABS puts substantial effort into developing standards in terms of classifications, concepts, data item definitions and question modules. All ABS surveys must use these standards. The collection instrument must be well tested and evaluated and this process is supported through documented standards in forms design and forms evaluation.
24.42 A high proportion of information used in compiling the Australian national accounts comes from surveys using the ABS Business Register (ABSBR) to provide the statistical frame from which representative samples are drawn. The ABSBR is based on the Australian Taxation Office's Australian Business Register (ABR), which contains all businesses with an Australian Business Number (ABN). It is expected to be comprehensive because businesses are required by law to obtain an ABN, with very limited exceptions. The ABS has adopted a strategy of building and maintaining its own records for large and complex businesses, with information for the remaining businesses sourced from the ABR. Although the ABS register is comprehensive and current, there are known to be some problems with the quality of the industry coding, which would have implications for the quality of the data for individual industries used in the national accounts.
24.43 Sample design and estimation systems are developed by specialist areas in accordance with internationally accepted practices. Accuracy is considered in terms of both sampling and non-sampling error. The ABS publishes information on the relative standard errors (RSEs) for its various sample surveys. These can provide an indication of the accuracy of the national accounts components to which they relate. It has not been possible to systematically calculate the impact that RSEs have on the various national accounting aggregates, because of the transformations of survey data, and the aggregations made in order to compile the national accounts.
24.44 An important potential source of non-sampling error can result from the inability of some data providers to report on the correct basis, considering the data requirements underlying the national accounts. Data providers can make errors with regard to the content, timing and valuation of their transactions. It is inevitable that some data providers will include extraneous items in their survey responses, and exclude relevant items, although every effort is made to match survey data items with business accounting practices. Survey forms are tested with a small number of providers before approved for use. Sophisticated techniques are used to edit provider responses, but errors can remain undetected. Because the national accounts is a closed system, such errors can lead to inconsistencies, affecting the coherence of the accounts.
24.45 The ABS uses best practices in survey design and operation, given the data intensive needs of the national accounts system, and the cost and respondent load imperatives that apply in survey design. National accounts compilers make do with data that are of acceptable (but less than ideal) quality, particularly for data at a finer level of detail, where the standard errors are often higher. Limited detail might be collected in some cases, or only collected infrequently (such as product details). The ongoing challenge is to ensure the adequacy of input data quality, in order to meet national accounts requirements. The national accounts process itself is designed to mitigate input data problems through data confrontation, as well as balancing in the supply-use tables, which are used to benchmark the national accounts. High quality input data, however, are essential to high quality national accounts data.
24.46 The ABS periodically reviews its economic survey strategy to ensure data requirements are met within the constraints of resource availability. The national accounts requirements for data are regarded as of very high importance.
Methodology
24.47 The data sources and methods used in preparing ABS national accounts statistics are regularly reviewed, and changes are made periodically to the basis of compilation of an item. A major methodological improvement to the Australian national accounts was the introduction of supply-use benchmarking and annually re-weighted volume estimates in 1998. The former results in greater coherence of the accounts, and the latter provides a superior measure of economic growth to the previously available volume estimates based on five-yearly reweighting.
24.48 Seasonal adjustment methods used by the ABS are based on the United States Bureau of the Census (USBC) Method II Seasonal Adjustment program, X-11 variant. This approach decomposes original estimates into a combination of modelled trend, seasonal and irregular components. Seasonally adjusted estimates are created by adjusting original estimates using seasonal factors to remove the seasonal component, and trend estimates are obtained by removing the irregular component from seasonally adjusted estimates. Since September 2006, the ABS has usually re-analysed and re-estimated seasonal factors for national accounts time series with each quarterly publication—a procedure referred to as concurrent adjustment. This process generally results in the best quality estimates because the method is most responsive to emerging changes in seasonal patterns. However, in response to the economic disruption caused by the COVID-19 pandemic from 2020 onwards, some components have returned to the previous process of re-estimating and fixing seasonal factors annually, to better manage large movements near the current end of the series.
Output data
24.49 As the national accounts are compiled within a comprehensive framework, it is possible to reduce the impact of data errors through the confrontation of the various estimates in the national accounts. Data confrontation is built around the conceptual relationships between data items. The best known data confrontation exercise is the compilation of the annual supply-use tables. Estimates of the supply (production) and use (demand) for commodities are compared in the compilation of these tables, with differences in the initial estimates being eliminated. At the same time, estimates of the value of production are compared with estimates of incomes attributable to production, and differences eliminated (further details are included in Chapter 8 on coherence of the national accounts).
24.50 Each collection area is required to confront its data with other data held by the ABS and other organisations as an important part of the process of ensuring the coherence of ABS statistics. Clearance meetings are held for all the major economic collections used to compile the national accounts, as a means of assuring data consistency between those collections and the national accounts, with emphasis on the most recent reference period.
24.51 The national accounts quarterly compilation process incorporates a review process designed to highlight inconsistencies and improbable data movements. Problems are identified, investigated, and resolved in the process of finalising the GDP estimates. There is a feedback loop to the data collection areas, culminating in the clearance procedures mentioned above.
24.52 Since 2005, the ABS has developed quarterly Supply and Use (QSU) tables as an editing tool to assist in the preparation of the quarterly national accounts. Preliminary quarterly estimates for the production and income components are used as inputs to the model which generates estimates of product supply and use in a time-series format. The QSU model enables inconsistencies between the different measures of GDP to be identified and investigated more systemically, and at a greater level of detail than is possible by simply examining the aggregate estimates. At the present stage of its development, the QSU model is used as an aid in the compilation of the seasonally adjusted production and expenditure-based estimates of GDP. A description of the initial QSU model (and how it is used) is contained in the research paper, A Supply and Use Model for Editing the Quarterly National Accounts, Australia. The model has recently been updated to increase the level of product detail and incorporate current price measures.
Subjective accuracy ratings
24.53 Accuracy is concerned with the proximity of an estimate to the 'true' but unknown value of the component being measured. It is concerned with the degree of precision associated with the estimate. As already discussed, the complex nature of the national accounts makes it extremely difficult to produce a tangible benchmark against which to measure accuracy. In practice, the accuracy of the national accounts is evaluated by considering the potential sources of error, and whether those sources have been minimised to the greatest extent possible. One approach to tie all the information related to data quality together is to assign subjective accuracy ratings to each series.
24.54 Subjective accuracy ratings are not derived by a particularly rigorous process, but represent an intuitive assessment by national accounts compilers. A consensus was reached taking into account knowledge about the standard errors on key survey inputs; impressions about the coverage and reliability of administrative data sources; and revisions to initial estimates of growth.
24.55 The next three tables contain an assessment for the initial quarterly estimates of movement for the current price and chain volume estimates of expenditure, income and production components of GDP. These have been chosen as they are generally the most anticipated of the national accounts estimates. Each component has been assigned one of the following grades:
A good
B fair
C poor
D very poor
Component | Current price estimates | Chain volume estimates | |
---|---|---|---|
Final consumption expenditure | |||
Government | B | B | |
Household | A | A | |
Total final consumption expenditure | A | A | |
Private gross fixed capital formation | |||
Dwellings | B | B | |
Ownership transfer costs | A | B | |
Non-dwelling construction | B | B | |
Machinery and equipment | B | B | |
Cultivated biological resources | C | C | |
Intellectual property products | C | C | |
Total private gross fixed capital formation | B | B | |
Public gross fixed capital formation | |||
Public corporations | B | B | |
General government | B | B | |
Total public gross fixed capital formation | B | B | |
Domestic final demand | A | A | |
Changes in inventories | |||
Private non-farm | C | C | |
Farm | C | C | |
Public authorities | C | C | |
Gross national expenditure | A | A | |
Exports of goods and services | A | A | |
Imports of goods and services | A | A | |
GDP | A | A |
Component | Current price estimates | ||
---|---|---|---|
Compensation of employees | A | ||
Gross operating surplus | |||
Non-financial corporations | |||
Private | A | ||
Public | B | ||
Total non-financial corporations | A | ||
Financial corporations | B | ||
General government | B | ||
Dwellings owned by persons | A | ||
Total gross operating surplus | A | ||
Gross mixed income | C | ||
Total factor income | A | ||
Taxes less subsidies on production and imports | A | ||
GDP | A |
Component | Chain volume estiamtes | |
---|---|---|
A | Agriculture, forestry and fishing | B |
B | Mining | A |
C | Manufacturing | B |
D | Electricity, gas, water and waste services | A |
E | Construction | B |
F | Wholesale trade | B |
G | Retail trade | A |
H | Accommodation and food services | B |
I | Transport, postal and warehousing | B |
J | Information media and telecommunications | B |
K | Financial and insurance services | B |
L | Rental, hiring and real estate services | B |
M | Professional, scientific and technical services | B |
N | Administration and support services | B |
O | Public administration & safety | C |
P | Education and training | C |
Q | Health care and social assistance | B |
R | Arts and recreation services | B |
S | Other services | B |
Ownership of dwellings | A | |
Gross value added at basic prices | A | |
Taxes less subsidies on products | A | |
GDP | A |
Statistical discrepancies
24.56 A more objective (but still limited) indicator of accuracy is provided by examining the differences between the conceptually equivalent estimates of GDP, measured by the expenditure, production and income approaches. Quarterly GDP in the Australian national accounts is derived as the average of the three measures, with accounting balance being achieved by an explicit statistical discrepancy item for each of the three elements.
24.57 The three measures of GDP are balanced in annual terms using the supply-use approach, up to the year prior to the most recent complete year (and latest two years in the June quarter release). This process eliminates the statistical discrepancies in annual terms, except for the latest year. The quarterly estimates of GDP are benchmarked to the annual estimates, but within-year inconsistencies remain.
24.58 Large and persistent statistical discrepancies relative to GDP can indicate gaps in the coverage of the measures or other quality issues. Because the measures are balanced annually in a supply-use table, the magnitude of the quarterly statistical discrepancies is small relative to the level of GDP, and they cancel out over the year. Any significant data coverage issues have been addressed over time. Of more interest in the Australian context is that quarter-to-quarter changes in the level of the statistical discrepancies are associated with inconsistencies between the growth rate of GDP, and its conceptually equivalent measures.
24.59 Figure 24.1 shows the discrepancy between quarterly growth rates of chain volume GDP as measured by the expenditure, production and income approaches and their average, GDP(A). In this graph, positive discrepancies indicate that a given measure has a higher growth rate than the average measure.
Figure 24.1 Quarterly growth in GDP measures
Net errors and omissions
24.60 The statistical discrepancies between the three measures of GDP provide one indicator of the accuracy of the national accounts; the net errors and omissions item in the financial account provides another. It represents the difference between the net lending derived in the capital account, and the conceptually-equivalent net lending item derived in the financial account – the net errors and omissions item is required to balance them.
24.61 Net lending in the capital account is derived as a residual and reflects the expenditure, production and income components of GDP as well as other items such as net property income and net secondary income. The financial account also derives net lending as a residual but using totally independent data – it is the difference between the acquisition of financial assets and the incurrence of liabilities.
24.62 Figure 24.2 plots the net errors and omissions item in annual terms. Some year-to-year differences are evident, reflecting the difficulties inherent in measuring residuals. It reflects timing and other errors in the estimation of income, expenditure and capital flows on the one hand and financial assets, liabilities and financial flows on the other.
Figure 24.2 Net errors and omissions
24.63 The magnitude and volatility of the net errors and omissions item and the statistical discrepancy can also be used to indicate the quality of the saving estimates in the national accounts. National net saving is derived in the income and use of income accounts by deducting final consumption expenditure and consumption of fixed capital from gross disposable income. Its quality is particularly sensitive to inaccuracies in the series from which it is derived, as a relatively small residual measure derived from very large aggregates. This point needs to be borne in mind when using the data for analysis.
24.64 Saving is a source of funds for both acquisition of financial assets and investment. An alternative and largely independent measure of saving can be derived using acquisition of financial assets from the financial account as the starting point. The accounting relationships within the national accounts system mean that the alternative measure can be calculated by deducting the net errors and omissions item and the statistical discrepancy between GDP(I) and GDP(E) from the official measure of saving. Figure 24.3 plots the official measure of annual saving and the alternative measure as a percentage of GDP, using data expressed in current prices. The series track each other closely, although there are some year-to-year differences.
Figure 24.3 National net savings, ASNA and alternative measures
Timeliness
24.65 The timeliness of statistical information refers to the delay between the reference period to which the information pertains, and the date on which the information is made available. The timeliness of information also influences its relevance; users obviously want data that are as contemporary as possible.
24.66 The source data used to compile the national accounts are available with varying degrees of timeliness, frequency, accuracy and detail. Successive vintages of source data are likely to be more accurate. This is consistent with the nature of business accounting systems where sub-annual data from management information systems are updated and eventually replaced by audited annual accounts.
24.67 The ABS aims to collect the various vintages of source data as soon as satisfactory results are typically available from the respondents' own systems. These may not be final data, and, in some cases, businesses may not be able to respond in accordance with the set deadlines at all, resulting in an expected level of non-response. Survey systems are designed to impute values for late or non-responders. A consequence is that initial estimates are likely to be revised.
24.68 There is an important trade-off between the accuracy and reliability of the estimates and the timeliness of their release. To meet the decision-making needs of users, the Bureau is pressured to produce statistics in as timely a fashion, and as frequently as possible. Complete or accurate data may not be available with the desired timing or can only be obtained at unacceptably high resource costs if at all, thereby compromising data accuracy. Both accuracy and timeliness are characteristics of quality – the ABS relies on feedback from users as to the optimal balance between them.
24.69 The trade-off between timeliness, accuracy and detail is accommodated by way of the sequencing of releases of national accounts publications. The first published quarterly estimates are usually made available about 60–70 days after the reference period. The detailed annual estimates are released between four and five months after the reference period. The most detailed national accounts estimates relating to production, income and expenditure are contained in the input-output tables, which typically become available about 38 months after the reference period. The quarterly financial accounts are usually released in the month following the corresponding quarterly national accounts, and the annual state accounts are released in the month following the annual national accounts. Australia's national accounts rate well against those of other countries in terms of their timeliness – particularly when the level of detail made available is taken into consideration.
24.70 A number of countries, particularly those that release national accounts estimates early, release a preliminary issue of the quarterly national accounts, followed later by 'final' estimates. The preliminary releases are often based on a partial view of the economy and require a certain amount of forecasting. For example, it is possible to base a preliminary estimate of quarterly production-based GDP (or GDP(P)) on two-months data if monthly production indexes are available, and to then forecast the third month. This method obviously improves the timeliness of the national accounts as they can be released soon after the end of the quarter, although the preliminary releases are normally issued with caveats. The ABS has not chosen this approach, and monthly production indexes are not compiled to enable the use of this approach.
Accessibility
24.71 Accessibility of information refers to the ease with which users can learn of its existence, locate it, and import it into their own working environment. Aspects covered include data availability, metadata availability (i.e. information about the data), and the degree of interpretative assistance available to users of the data. Data availability involves issues of data presentation and distribution media, as well as the availability of non-confidential but unpublished data. Metadata availability concerns the availability of information concerning the concepts, sources and methods associated with that data. Accessibility also considers whether the information surrounding or supporting the data is openly available to the public.
24.72 Most aspects of accessibility in the ABS are determined by agency-wide dissemination policies and delivery systems. At the program level, the main responsibility is to choose appropriate delivery systems, and to ensure that statistical products are properly included within corporate catalogue systems.
Accessing the data
24.73 The ABS provides users with ready access to national accounts statistics. Paper publications have now largely given away to a variety of electronic releases which are now the preferred way of accessing statistical information. Everything on the ABS website is free-of-charge, and this includes all standard releases of national accounts information.
24.74 A national accounts theme page on the ABS website lists all the quarterly and annual national accounts datasets currently available. It also provides an extensive range of national accounts information including access to the latest national accounts data. Key results are highlighted.
24.75 Information about the full range of national accounts and other ABS publications is available through the <Statistics> link on the ABS website.
24.76 Some users require more detail than that provided in the standard national accounts releases, and can seek information on request, and, subject to cost-recovery charges, the information will be provided if available, and of sufficient quality.
Accessing the metadata
24.77 The ABS has a range of ways of providing users with information about national accounts data. This publication outlines the major concepts and definitions; describes the data sources and methods used to prepare the estimates; and provides information about the ways in which the relevant international concepts and standards have been implemented in Australia. It also discusses the accuracy and reliability of national accounting concepts and estimates.
24.78 The web page for each publication leads with key statistics. Information is included about future releases and about any revisions and changes in the issue. The <On this page> box describes the major elements of the data, the tables and graphs contain footnotes to alert users to relevant issues that affect the data series. Each publication links to its own <Methodology> page containing a glossary and explanatory notes, which comment on the key concepts, sources and methods and their implications for the quality of estimates. A quality declaration provides a brief assessment of the statistics against the seven dimensions of the ABS data quality framework.
Information about releases
24.79 The ABS website provides information about upcoming releases. Release dates of national accounts publications are announced in advance — in general release advices, and in the < Future Releases> and <Previous Releases> tabs attached to individual publications.
24.80 The ABS adheres to the long-established principle that the results of statistical collections should be made available to all users at the same time, and as soon as practicable. The Bureau will consider giving very limited pre-release access for the purpose of briefing a Minister. An embargo is placed on the release of statistics until 11.30 am (Canberra time) on the designated day of release. There are strict security procedures to ensure that there is no unauthorised access of statistics prior to release.
Consulting with users
24.81 Users are routinely consulted regarding their data requirements, and how they would like to see the data presented in publications and electronic media. On the 21st of September 2020 the ABS launched a new website with a key aim to improve user experience and address feedback. National Accounts significantly improved publication content with the new ABS website. Improvements included more prominent key statistics, more interpretable analysis and other content, interactive graphs and tables, and improved search functionality.
Assistance to users
24.82 Users with inquiries can find details for contacting the ABS via an online inquiry form, telephone, email, or post, by following the <Contact us> link near the bottom of the ABS website.
Interpretability
24.83 Users need to understand the properties of the information in order to make appropriate use of statistical information. That requires the provision of descriptions of the underlying concepts, variables and classifications used; the methods of collection processing and estimation used in producing the information; and an assessment of the accuracy of the information.
24.84 Statistical information that users cannot understand, or can easily misunderstand, has no value and may have negative value. Providing sufficient information to allow users to properly interpret statistical information is therefore essential. Information about information is technically known as metadata. Managing interpretability is primarily concerned with the provision of metadata.
24.85 The information needed to understand statistical data falls under three broad headings:
- the concepts, definitions and classifications underlying the data
- the methodology used to collect and compile the data
- indicators of accuracy of the data.
24.86 The description of methodology also serves as a surrogate indicator of quality – helping users to assess suitability for purpose.
24.87 There are close relationships between these three headings and other dimensions of quality. The underlying concepts and classifications are also a prime determinant of coherence (see next section), and the degree to which they conform to national and international standards should be apparent from the metadata.
24.88 This publication defines and discusses the major concepts, definitions and classifications which underlie national accounts estimates. It also describes the methodology used to transform input data into statistical outputs and discusses the accuracy and reliability of those estimates. The concepts, classifications and terminology follow closely those of the SNA, and, therefore, users can be confident that valid comparisons can be drawn with national accounts data produced by other countries.
24.89 This publication is supplemented by an assortment of information papers, spotlight articles, working papers and technical notes. Articles and papers draw attention to issues impacting on the data, such as changes to the classifications, systems, concepts or standards, major data revisions, and changes in data dissemination practices. Spotlight articles and technical notes are written on a regular basis to inform users of emerging issues and methodological changes, including their impact on the national accounts. They are commonly released in the national accounts’ publications. Information papers and research papers report on various aspects of research undertaken on topics relevant to the national accounts. A list of articles is maintained in the national accounts theme page on the ABS website.
Coherence
24.90 Coherence of statistical data includes coherence between different data items pertaining to the same point in time; coherence between the same data item for different points in time; and international coherence.
24.91 Judgements can be made as to the extent of error associated with an estimate, by being aware of the factors which influence coherence. These judgements can be enhanced by comparing estimates that should be conceptually identical, or by comparing estimates where a particular relationship between the estimates could be expected. In other words, the extent to which a set of statistics are coherent can provide a guide to the accuracy of the statistics. However, it should be noted that a coherent set of statistics is not necessarily an accurate set, as the statistics that are being compared may suffer from similar magnitudes of error with the errors being in the same direction.
24.92 Users sometimes need to draw on different sets of statistical information derived from different sources and at different times. Appropriate use is facilitated if information can be validly compared with other related data sets. This is achieved using common, or at least comparable, concepts and methodologies across products.
Standard frameworks, concepts, variables and classifications
24.93 Frameworks, concepts, and classifications exist to ensure that the target of measurement is consistent across statistical programs, that consistent terminology is used across programs and that the qualities being estimated bear known relationships to each other. The realisation of this element is normally through the adoption and use of frameworks such as the SNA and ASNA. The issue of international comparability is addressed by considering the adherence of the standards adopted to the international standards as contained in the SNA.
24.94 Although there are a wide range of uses for economic data, national accounts data requirements are a key guiding principle behind most of the Bureau's economic collections. Coherence has been aided by the harmonisation of the various international standards for economic statistics with the SNA. Where administrative data are used, special care is taken to ensure the correct application of standards, and the identification of possible data gaps and overlaps. Appropriate adjustments are made to align the data in cases where administrative data are known to differ from national accounts standards.
Common frames, methodologies and systems
24.95 Data coherence is improved through the development and use of common frames, methodologies and systems for data collection and processing. For example, the use of a common business register across all business surveys ensures that differences in frame coverage do not introduce inconsistencies in data. Differences due to response error are minimised using commonly formulated questions when the same variables are being collected in different surveys. Another strategy is to use common methodology and systems for the various processing steps of a survey, to ensure that these operations do not introduce discrepancies in data.
Data comparison and integration
24.96 A key aspect of the national accounts process is the confrontation of data from different sources, and the subsequent reconciliation. At its most formal, this process occurs within the annual balancing of the supply-use tables, which are used to benchmark the national accounts. It also includes the coherence between the national accounts estimates and the various partial indicators of economic activity published by the ABS and other agencies.
24.97 The confrontation of data in the annual supply-use framework provides a systematic, if somewhat complex, means of checking the coherence of much of the source data used in the national accounts. In the process, the source data are subject to examination and adjustment in order to achieve coherence in the annual national accounts’ statistics. While coherence is achieved, it cannot be claimed that the results are necessarily accurate. S-U tables are data intensive, and some product information has to be synthesised. More suitable source data may become available later, leading the national accounts compiler to take different decisions to balance the supply and use of products. The balancing process itself also has some limitations because it is not possible to thoroughly assess every imbalance. It can be expected that any significant inconsistencies in major data items will become apparent in the balancing process. Despite some limitations, the supply-use methodology is recognised internationally as the best means of checking the coherence of data and assuring the accuracy of the national accounts.
24.98 Considerable attention is given to confronting the consistency of the data used to compile the quarterly accounts, although no attempt is made to completely balance quarterly data. The ABS has developed a quarterly Supply and Use model to help identify internal inconsistencies, and to help focus investigations by the national accounts’ compilers. Timing and other inconsistencies in the data remain after this process and are reflected in the statistical discrepancies that are shown explicitly in the Australian national accounts. As previously mentioned, the statistical discrepancies are only a partial measure of coherence in the data – they represent an aggregation of all the positive and negative discrepancies implicit in the large amount of source data which are used to compile quarterly GDP.
24.99 Another aspect of coherence relates to the consistency of the national accounts with other economic data published by the ABS and other organisations. The ABS publishes a large amount of data on various aspects of the economy. To the extent that many of these are also inputs to the national accounts, it could be expected that they would be coherent with the national accounts. Processes have been implemented to achieve as much consistency as possible. Representatives of the economic collections and economic accounts areas meet formally and regularly to discuss and come to agreement on the statistical treatment and dimensions of recent economic events, such as privatisations, major construction and resource projects, asset purchases and other issues surrounding the reconciliation of economic data more generally.
24.100 A formal process has also been established to involve national accounts staff in the clearance of some quarterly economic indicator surveys that are published before the national accounts. This gives the national accountants an opportunity to ask questions and input any additional information gained from the wider perspective of other data available for the wider economy prior to finalisation of the results. As a result of this formal process, the national accounts and the partial indicators data for recent quarters should be consistent, although some scope, concepts and other differences may mean that they are not exactly equal. Over time, benchmarking procedures may lead to divergence between the national accounts and the sub-annual partial indicator statistics.
24.101 There have been a few occasions where officials and economic commentators have questioned the consistency between the national accounts and other economic data. An example is the complex relationship between employment growth and output growth as measured by GDP, and the data series can occasionally move in directions that appear counterintuitive. The ABS has undertaken an investigation into the relationship between GDP and employment; see the June 2005 release of Australian National Accounts: National Income, Expenditure and Product for more detail. The relationship between GDP growth and growth in tax revenues has also been questioned. On this latter point, it should be noted that there are many differences between operating surplus from the national accounts and taxable income. For example, taxable income includes realised capital gains but deducts net interest payments. Operating surplus excludes capital gains and losses and does not deduct net interest payments. The treatment of these elements can result in different year-to-year movements, and also in longer term growth patterns.
Quality gates
24.102 Quality gates (QGs) link back to the ABS Data Quality Framework dimensions of institutional environment, relevance, timeliness, accuracy, coherence, interpretability and accessibility to ensure that all dimensions of quality have been considered and maintained in the production of the statistical outputs.
24.103 Quality gates reflect:
- the institutional environment through their implementation as a statistical risk mitigation strategy, so that the reputation of the organisation is protected
- timeliness and relevance by ensuring that they are placed at appropriate junctures in the process where they can influence the direction and outcome of the quality of the process. Examples include: preventing delays by identifying problems in time; confirming that the process is okay at a given point in time in order to continue to the next steps; or confirming that the output requirements are achievable from the design of the inputs.
- accuracy and coherence through the use of quality measures and their corresponding tolerance levels
- interpretability by encouraging documentation to ensure knowledge management and a shared understanding across all stakeholders of the quality gate and the underlying processes
- accessibility through the provision of information on the quality of the process at the individual components. In some cases, the desired information may not be available due to current reporting limitations in the processes (such as a particular quality measure) but should be acknowledged as a requirement for future development opportunities.
24.104 The national accounts have implemented several quality gates throughout the compilation process. Quality gates are applied as the source data is received and entered the national accounts processing system, to ensure fitness-for-purpose. Checks at this stage ensure that the dataset is complete; unusual movements are highlighted; and that revisions adhere to the revisions policy.
24.105 Quality gates are vital throughout the editing stage to ensure the data is being processed correctly. Checks at this stage ensure or highlight:
- additivity where applicable
- correct application of benchmarks
- missing and negative values
- unusual movements
- acceptability of revisions.
24.106 Quality gates are also applied when analysing the data. They are useful to highlight inconsistencies and incoherence in the data.
Revisions
24.107 Revisions in relation to the national accounts may be defined as the differences between a published sequence of estimates for a given reference period for the same national accounting variable over a particular period of time. Revisions arise from the progressive incorporation of more up to date data, re-weighting of chain volume series and reassessment of seasonal factors, and from time to time the introduction of new accounting concepts and improved data sources and methods.
24.108 Revisions analysis is concerned with the reliability of initial (or subsequent) estimates rather than the accuracy of estimates. Accuracy is always the main focus of statistical agencies. However, a standard accuracy measure, such as the standard error of GDP, has been found impossible to produce in practice because of the complicated compiling process and aggregation structure of the national accounts. For example, a Eurostat (1999) task force concluded that:
. . . even under the most optimistic assumption that confidence intervals can be provided for all basic sources, objective error margins for national accounts aggregates appear to be out of reach. The problems posed by identifying, measuring and aggregating all errors that remain after adjustments are made at the various compilation stages seem insurmountable.
24.109 Reliability refers to the ability of the successive vintages of national accounts estimates to present a consistent, reliable picture of the economy, as estimates are revised to incorporate increasingly comprehensive and improved source data. It is therefore a relative measure rather than an absolute one. Revisions analysis is often employed as a diagnostic tool to indicate possible sources of unreliability, but the results should never be used as an adjustment factor in compiling or interpreting the national accounts.
24.110 Revisions should not be seen as synonymous with error. They are an inevitable consequence of the national accounts process. Revisions reflect both the complexity of economic measurement, and the need to provide economic policy advisers and other users with timely estimates, in order to maximise their use in analysis of current economic conditions. A major reason for revisions to initial estimates is the trade-off between timeliness, accuracy and reliability. For example, delaying the release of data by a year or more would not mean that revisions are no longer required. There are several reasons:
24.111 The national accounts process is aimed at bringing together sets of accounts that are coherent for the whole nation, unlike in business accounting, where the aim is to record accurately the transactions and financial position of a particular business entity in isolation. It is, in effect, a quadruple accounting system, and achieving coherence between the transactions of economic agents is an iterative process proceeding over a number of years.
24.112 Some of the most complete data are only available every few years (such as the Census of Population and Housing).
24.113 Seasonally adjusted and trend estimates are updated as information from new quarters is used to improve estimates of the trend, seasonal and irregular components of each time series.
24.114 Improvements to data sources and estimation methods are backcast to earlier periods where possible, as well as occasional changes to national accounting standards.
24.115 ABS and international data quality assessment frameworks include revisions history as one of the indicators of quality, linking it with the accuracy element. Users need to be aware of the potential for revisions. They need to satisfy themselves that initial estimates provide an acceptable indication of later estimates based on more complete data, which has been subjected to coherence checks within the national accounts system. As part of an overall quality assessment program, national accounts compilers are encouraged to regularly conduct an analysis of revisions in order to inform users, and to help guide the continuous quality improvement process within statistics agencies.
24.116 The ABS has published studies of revisions in the past, as have a number of other national statistics agencies. Since 2005, the OECD have occasionally published data on revisions to quarterly GDP and other economic indicators in selected countries. The database has been designed for a limited number of key economic statistics together with an analytical spreadsheet. It is also designed to assist compilers and analysts in the derivation of a standard set of revisions measures, using either OECD data or their own data. The database facilitates international comparisons of revisions.
24.117 The remainder of this section describes:
- the national accounts compilation process;
- the revisions policy; and
- the availability of information on revisions.
National accounts compilation process
24.118 The ABS has implemented a set of rules to manage the timing of revisions to the national accounts. These rules are based around the national accounts compilation process, which itself reflects the availability of new or revised source data, as well as operational factors.
24.119 The basic accounting and price index data from the quarterly surveys can normally be expected to become quite firm the quarter following the initial estimate. The national accounts process requires that the estimates derived from these sources be subject to annual benchmarking. The results of the benchmarking process are first published in the September quarter issue of the quarterly national accounts, coinciding with the availability of balanced annual current price and volume data from the supply-use tables.
24.120 The supply-use system progressively incorporates business accounts and other data from ABS annual surveys, as well as the taxation system. A balancing process is undertaken to achieve consistency between the supply and use of products in the economy, in both current price and volume terms. Data inconsistencies are reviewed and have to be resolved by altering some of the basic data. Quarterly national accounts estimates are benchmarked to successive vintages of annual data in order to maintain consistency within the national accounts system. This process also introduces revisions to quarterly growth rates in years either side of the new or revised annual data.
24.121 The benchmarking procedure used by the ABS is a mathematical routine designed to equate the quarterly and annual benchmarked estimates, while minimising the impacts on existing quarterly growth rates. Using this procedure, revisions to an annual estimate have the potential to impact on growth rates for all the quarters in that year, in the two previous years and two forward years. Impacts of benchmarking on individual quarter growth rates could be reduced by adopting a simple pro rata procedure, but this would force all of the revision to growth rates into the September quarter. The optimising procedure used is widely considered to produce superior estimates of quarterly growth rates, but at the expense of more widespread revisions. Revisions to annual estimates result from the progressive incorporation of more complete source data balanced in the supply-use system, and revisions to quarterly estimates result from the process of benchmarking. In this way, a revisions process is inherent within the national accounts process because more comprehensive and reliable data only become available with a considerable lag.
24.122 Typically, the national accounts process for a given quarter for original current price and volume data proceeds as follows:
- The initial quarterly estimate is based on preliminary quarterly survey data.
- The later vintage quarterly estimates up to the June quarter issue of the national accounts are based on more complete or 'final' quarterly survey data.
- At the end of the current financial year (June quarter) the annual estimates for that year are derived initially as the sum of the four quarters.
- In the September quarter, the reference year values for the whole time series of chain volume estimates are advanced one year to the current price values applying in the previous financial year. Re-referencing impacts data levels, but not growth rates. The base year weights for the current and previous year chain volume estimates are also moved forward. This can result in a revision to growth rates in those years.
- In the September quarter, the quarterly estimates are subject to a benchmarking process to align them with annual current price and volume data that has been balanced in the supply-use system.
24.123 As noted in the Methodology subsection above, the X-11 seasonal adjustment approach used by the ABS decomposes original current price and chain volume estimates into a combination of modelled trend, seasonal and irregular components, which are used to produce seasonally adjusted and trend estimates. The addition of new quarters and data revisions to previous quarters results in a re-estimation of the seasonal factors and underlying trends in the data due to the end-point problem. Revisions to growth rates will result from this process. The usual concurrent seasonal adjustment method involves re-analysing and re-estimating seasonal factors for the whole time series with the addition of each new quarter, and, therefore, revisions to seasonally adjusted and trend estimates potentially flow through with the addition of each new quarter. These revisions tend to be largest over the most recent few years. Components for which seasonal factors are re-analysed and re-estimated annually will show revisions at the time this occurs. In other quarters, the latter approach will not revise seasonal factors, but any revisions to original data may still flow through to seasonally adjusted and trend estimates.
Revisions policy
24.124 As a consequence of this process, the following revisions policy applies for GDP and components in normal circumstances.
24.125 The September quarter releases normally allow up to sixteen quarters of revision for original current price and chain volume estimates; that is, the quarters of the current year plus the quarters of the previous three financial years. In these issues, updated annual supply-use benchmarks will be introduced.
24.126 In other quarterly releases, revisions to original current price (and chain volume) estimates are restricted to the current year and the previous financial year.
24.127 For chain volume and price measures, the annual re-referencing of the series each September quarter will cause revisions to the levels for the entire series. Re-referencing does not affect percentage movements, but the introduction of updated price weights for the most recent periods could affect growth rates for these periods.
24.128 Revisions resulting from seasonal re-analysis are allowed to flow through to the whole seasonally adjusted time series at the time the seasonal re-analysis is undertaken. This occurs each quarter for series using concurrent seasonal adjustment, and annually for series using annually updated seasonal factors.
24.129 From time to time, the ABS will also implement an 'historical revision' outside of the normal cycle, whereby the whole historical time series is opened up for revision. This allows substantial updates to concepts, classifications, methods and data sources to be reflected across all time periods to which they apply. Since the adoption of the 2008 SNA in 2008-09, significant historical revisions have been made in 2010-11 and 2016-17.
Availability of information on revisions
24.130 At present, the following indicative information is provided:
- Australian National Accounts: National Income, Expenditure and Product – Tables detail revisions to the recent eight quarters for GDP and its expenditure, income and industry components. Additionally, the publication contains commentary in the 'Analysis and comments' section on major sources of revisions, and the ‘Explanatory notes’ provide some discussion of the sources of revisions and the accuracy of the estimates more generally.
- Australian System of National Accounts – The major sources of revisions are documented within the 'Analysis of results' section.
- Occasionally, more detailed studies have been made available.
24.131 Analysis of the revisions to the national accounts is undertaken regularly, and the results are made available to users. This is in keeping with developing the Bureau’s broader thinking about data quality declarations for statistical outputs.
Abbreviations
AAE | Average Age Efficiency |
AAO | Administrative Arrangement Orders |
AAS | Australian Accounting Standard |
ABA | Australian Broadcasting Authority |
ABARES | Australian Bureau of Agricultural and Resource Economics and Sciences |
ABN | Australian Business Number |
ABR | Australian Business Register |
ABS | Australian Bureau of Statistics |
ABSBR | ABS Business Register |
AEMO | Australian Energy Market Operator |
AFG | Australian Forest Growers' Association |
AFS | Agricultural Finance Survey |
AGA | Australian Government Actuary |
AHECC | Australian Harmonised Export Commodity Classification |
AIC | Annual Integrated Collection |
AIS | Annual Industry Statistics |
AIFRS | Australian equivalents to International Financial Reporting Standards |
AIHW | Australian Institute of Health and Welfare |
AIMR | Australia's Identified Mineral Resources |
AIP | Australian Institute of Petroleum |
ALC | Average Labour Costs |
ALP | Average Labour Productivity |
ANA | Australian National Accounts |
ANAO | Australian National Audit Office |
ANZSIC | Australian and New Zealand Standard Industrial Classification |
ANZSIC93 | Australian and New Zealand Standard Industrial Classification, 1993 |
ANZSIC06 | Australian and New Zealand Standard Industrial Classification, 2006 |
AOFM | Australian Office of Financial Management |
APM | Australian Property Monitors |
APMI | Articles Produced by the Manufacturing Industry |
APRA | Australian Prudential Regulatory Authority |
ARIA | Australian Recording Industry Association |
ARIMA | Autoregressive Integrated Moving Average |
ASAC | Australian Statistical Advisory Council |
ASNA | Australian System of National Accounts |
ASOM | Australian Students Overseas Model |
ASX | Australian Securities Exchange |
ATO | Australian Taxation Office |
ATSA | Australian Tourism Satellite Account |
AUD | Australian Dollars |
AWE | Average Weekly Earnings |
AWEX | Australian Wool Exchange |
BACS | Building Activity Survey |
BEA | Bureau of Economic Analysis (US) |
BIS | Bank of International Settlement |
BITRE | Bureau of Infrastructure, Transport and Regional Economics |
BLS | Bureau of Labor Statistics (US) |
BoM | Bureau of Meteorology |
BOP | Balance of Payments |
BoPBEC | Balance of Payments: Broad Economic Category |
BP | Basic Prices |
BPM5 | Balance of Payments and International Investment Position Manual (fifth edition) |
BPM6 | Balance of Payments and International Investment Position Manual (sixth edition) |
BSIP | Business Statistics Innovation Program |
C | Final Consumption Expenditure by Households |
CBAs | Central Borrowing Authorities |
CBCS | Commonwealth Bureau of Census and Statistics |
CER | Clean Energy Regulator |
CFBO | Commonwealth Final Budget Outcome |
CGE | Computable General Equilibrium |
CGOP | Company Gross Operating Profit |
CIF/FOB | Cost, Insurance and Freight/Free-on-Board |
CIS | Construction Industry Survey |
COE | Compensation of Employees |
COFC | Consumption of Fixed Capital |
COFOG | Classification of the Functions of Government |
COFOG–A | Classification of the Functions of Government – Australia |
COICOP | Classification of Individual Consumption by Purpose |
COPNI | Classification of the Purposes of Non-Profit Institutions Serving Households |
COPP | Classification of Outlays of Producers by Purpose |
CPC, Ver. 2 | Central Product Classification, Version 2 |
CPI | Consumer Price Index |
CSIRO | Commonwealth Scientific and Industrial Research Organisation |
CVM | Chain Volume Measure |
DAFF | Department of Agriculture, Fisheries and Forestry |
DCCEEW | Department of Climate Change, Energy, the Environment and Water |
DFAT | Department of Foreign Affairs and Trade |
DFD | Domestic Final Demand |
DGI | Data Gaps Initiative |
DISR | Department of Industry, Science and Resources |
DIY | Do-It-Yourself |
DMO | Defence Material Organisation |
DoF | Department of Finance |
DPSIR | Driver-Pressure-State-Impact-Response |
EAS | Economic Activity Survey |
ECS | Engineering Construction Survey |
EDR | Economically Demonstrated Resources |
EG | Enterprise Group |
EN | Enterprise |
EPE | Environmental Protection Expenditure |
ERP | Estimated Resident Population |
ESAA | Energy Supply Association of Australia |
ESC | Employer Social Contributions |
ESUG | Economic Statistics User Group |
ETF | Economic Type Framework |
Eurostat | European Statistics (European Commission) |
FAO | Food and Agriculture Organisation (UN) |
FBT | Fringe Benefits Tax |
FIFO | First in first out Inventories valuation |
FISIM | Financial Intermediation Services Indirectly Measured |
f.o.b. | Free-on-Board |
FSAM | Foreign Students in Australia Model |
G | Government |
GDI | Gross Disposable Income |
GDP | Gross Domestic Product |
GDP(E) | Gross Domestic Product – Expenditure approach |
GDP(I) | Gross Domestic Product – Income approach |
GDP(P) | Gross Domestic Product – Production approach |
GEI | Gross Entrepreneurial Income |
GFCE | Government Final Consumption Expenditure |
GFCF | Gross Fixed Capital Formation |
GFS | Government Finance Statistics |
GFSM | Government Finance Statistics Manual (IMF) |
GG | General Government |
GHG | Greenhouse Gas(es) |
GMI | Gross Mixed Income |
GNDI | Gross National Disposable Income |
GNE | Gross National Expenditure |
GNI | Gross National Income |
GOS | Gross Operating Surplus |
GSP | Gross State Product |
GSP(E) | Gross State Product – Expenditure Approach |
GSP(I) | Gross State Product – Income Approach |
GSP(I/E) | Gross State Product – combined Income/Expenditure Measure |
GSP(P) | Gross State Product – Production Approach |
GST | Goods and Services Tax |
GVA | Gross Value Added |
HECS | Higher Education Contribution Scheme |
HELP | Higher Education Loan Program |
HES | Household Expenditure Survey |
HFCE | Household Final Consumption Expenditure |
HPI | House Price Index |
HTISC | Harmonised Tariff Item Statistical Code |
IBT | Indirect Business Tax (Taxes less Subsidies on Production and Imports) |
ICNPO | International Classification of Non-Profit Organizations |
ICT | Information and Communication Technology |
ICTIS | Information and Communication Technology Industry Survey |
ICW | (Household) Income, Consumption, Saving and Wealth |
IFRS | International Financial Reporting Standards |
IIP | International Investment Position |
ILO | International Labour Organisation |
IMF | International Monetary Fund |
IMO | Independent Market Operator (WA) |
IMTS | International Merchandise Trade Statistics |
I-O | Input-Output |
IOIG | Input-Output Industry Group |
IOPC | Input-Output Product Classification |
IOUG | Input-Output User Group |
IPD | Implicit Price Deflator |
IPI | Import Price Index |
IRTS | International Recommendations for Tourism Statistics |
ISC | Insurance Service Charge |
ISIC, Rev 4 | International Standard Industrial Classification of All Economic Activities, Revision 4 |
IVA | Inventory Valuation Adjustment |
JPDA | Joint Petroleum Development Area |
K | Capital |
L | Labour |
LE | Legal Entity |
LFS | Labour Force Survey |
LIFO | Last In First out Inventory valuation |
LNG | Liquid Natural Gas |
LPI | Labour Price Index |
M | Imports |
MAP | Measures of Australia's Progress |
MDBA | Murray-Darling Basin Authority |
MFP | Multifactor Productivity |
MMF | Money Market Funds |
MMFS | Manual of Monetary and Financial Statistics |
MPDAA | Motion Picture Distributors Association of Australia |
MTG | Master Tax Guide |
MTS | Margins, Taxes and Subsidies |
MUMI | Materials Used by the Manufacturing Industry |
MWh | Megawatt hours |
n.e.c. | not elsewhere classified |
NCT | Net Current Transfers Receivable from Non-Residents |
NCVER | National Centre for Vocational Education Research |
NDP | Net Domestic Product |
NEO | Net Expenditure Overseas |
n.i.e. | not included elsewhere |
NIRS | National Information and Referral Service |
NMMF | Non-Money Market Funds |
NNDI | Net National Disposable Income |
NNI | Net National Income |
NOE | Non-Observed Economy |
NPI | Non-Profit Institution |
NPINR | Net Primary Income Receivable from Non-Residents |
NPISH | Non-Profit Institution Serving Households |
NPV | Net Present Value |
NT | Net Taxes (or Taxes on Production and Imports minus Subsidies on Production and Imports) |
OAD | Overseas Arrivals and Departures |
OCV | Other Changes in Volumes |
OECD | Organisation for Economic Co-operation and Development |
OEEC | Office of European Economic Co-operation |
OGRA | Oil and Gas Resources of Australia |
ONS | Office of National Statistics |
OTC | Ownership Transfer Costs |
PAYE | Pay-As-You-Earn |
PAYG | Pay-As-You-Go |
PBS | Pharmaceutical Benefits Scheme |
PC | Productivity Commission |
PDV | Present Discounted Value |
PHIAC | Private Health Insurance Administration Council |
PIK | Payments in kind |
PIM | Perpetual Inventory Method |
PM&C | Department of Prime Minister and Cabinet |
PP | Purchasers' Prices |
PPI | Producer Price Index |
PVA | Production Valuation Adjustment |
QALI | Quality-Adjusted Labour Inputs |
QBIS | Quarterly Business Indicators Survey |
QG | Quality Gate |
QSU | Quarterly Supply and Use |
R&D | Research and Development |
RBA | Reserve Bank of Australia |
RECs | Renewable Energy Certificates |
REIA | Real Estate Institute of Australia |
RFCs | Registered Financial Corporations |
RGDI | Real Gross Domestic Income |
RIS | Retail Industry Survey |
RIS/WIS | Retail Industry Survey/Wholesale Industry Survey |
RoW | Rest of World |
RPPI | Residential Property Price Index |
RSE | Relative Standard Error |
RULC | Real Unit Labour Costs |
SAM | Social Accounting Matrix |
SAUG | State Accounts User Group |
SD | Statistical Discrepancy |
SDCs | Source Destination Classifications |
SDRs | Special Drawing Rights |
SEASABS | SEASonal analysis, ABS standards |
SEE | Survey of Employment and Earnings |
SEEA | System Environmental-Economic Accounts |
SESAME | System of Economic and Social Accounting Matrices and Extensions |
SESCA | Standard Economic Sector Classifications of Australia |
SFD | State Final Demand |
SFE | Sydney Futures Exchange |
SFI | Survey of Financial Information |
SIH | Survey of Income and Housing |
SII | Survey of International Investment |
SISCA | Standard Institutional Sector Classification of Australia |
SITC | Standard International Trade Classification |
SITE | Survey of International Transport Enterprises |
SITS | Survey of International Trade in Services |
SMLC | Survey of Major Labour Costs |
SMVU | Survey of Motor Vehicle Use |
1968 SNA | System of National Accounts, 1968 |
1993 SNA | System of National Accounts, 1993 |
2008 SNA | System of National Accounts, 2008 |
S-U | Supply-Use |
SUIC | Supply-Use Industry Classification |
SUPC | Supply-Use Product Classification |
TARM | Travel by Australian Residents Model |
TAU | Type of Activity Unit |
TFI | Total Factor Income |
TFES | Tasmanian Freight Equalisation Scheme |
TFRM | Travel by Foreign Residents Model |
THW | Total Hours Worked |
TIU | Total Intermediate Usage |
TNTS | The New Tax System |
TRA | Tourism Research Australia |
TRS | Tourist Refund Scheme |
TSA RMF | Tourism Satellite Accounts: Recommended Methodological Framework |
TUS | Time-Use Survey |
UGOP | Unincorporated Gross Operating Profit |
ULC | Unit Labour Costs |
UN | United Nations |
UNSC | United Nations Statistical Commission |
UNSO | United Nations Statistical Office |
US | United States |
USCB | United States Census Bureau |
USD | United States Dollars |
VACP | Value of Agricultural Commodities Produced |
VFACTS | Vehicle Facts (Federal Chamber of Automotive Industries) |
WET | Wine Equalisation Tax |
WIS | Wholesale Industry Survey |
WoLFS | Work, Life and Family Survey |
WPI | Wage Price Index |
WSAA | Water Supply Association of Australia |
WST | Wholesale Sales Tax |
X | Exports |
Changes to the list of abbreviations
From 04/03/2024 there have been changes made to the list of abbreviations.
General Purpose Classification (GPC) and Local Government Purpose Classification (LGPC) have been removed. Classification of the Function of Government- Australia (COFOG-A) has been added.
Abbreviations prior to 04/03/2024 update
Appendix 1 Classifications
Introduction
A1.1 Standard classifications and definitions of statistical units and items are essential elements underlying the compilation and presentation of statistics produced by national statistical offices, such as the Australian Bureau of Statistics (ABS). The use of such standards ensures that statistics are comparable across industry and sector boundaries and can be aggregated from various collections, for example, for national accounts purposes.
A1.2 Furthermore, the ABS has adopted the System of National Accounts 2008 (2008 SNA) as the standard for the compilation of its national accounts statistics. This promotes the integration of economic and related statistics as an analytical tool, as well as the international reporting of comparable national accounting data.
Sector classifications
A1.3 Dividing the economy into sectors provides information about groups of economic units, such as financial corporations or households, sharing similar economic functions and institutional characteristics. The main purpose of these classifications is to facilitate analysis of economic activity along sectoral or institutional lines. The Standard Economic Sector Classifications of Australia (SESCA) describes a number of standard classifications used by the ABS in the compilation of statistics that involve dividing the economy into broad economic sectors.
A1.4 A key classification within SESCA is the Standard Institutional Sector Classification of Australia (SISCA). SISCA is based on the 2008 SNA institutional sector classification. The Australian System of National Accounts (ASNA) bases its sector classification on the international standards set out in the 2008 SNA. In the ASNA, there are five sectors:
- non-financial corporations (including public non-financial corporations)
- financial corporations
- households (including unincorporated enterprises and NPISHs)
- general government; and
- rest of the world (ROW).
A1.5 The 2008 SNA delineates an extra sector for non-profit institutions serving households (NPISHs), but these units are included within the household sector in the ASNA.
A1.6 The main feature for both the non-financial corporations and financial corporations’ sectors, is that they cover businesses which are legally, or clearly act as, entities separate from their owners with regard to their economic activities. Businesses mainly classified to these sectors include companies registered under the Companies Act or other Acts of Parliament, or large unincorporated enterprises which maintain complete and independent financial records.
A1.7 The non-financial corporations sector comprises all resident corporations and quasi-corporations mainly engaged in the production of market goods and/or non-financial services. Also included are non-profit institutions (NPIs) that mainly engage in market production of goods and non-financial services. These NPIs include those set up by associations of non-financial corporations to mainly provide member corporations with services, for which the members pay directly or by way of regular membership fees.
A1.8 Public non-financial corporations include government owned or controlled enterprises which are mainly engaged in the production of goods and services for sale in the market with the intention of substantially covering their costs.
A1.9 Financial corporations are mainly engaged in both incurring liabilities and acquiring financial assets, i.e. in borrowing and lending money, in financial leasing or investing in financial assets. Corporations providing services closely related to and designed to facilitate these activities are also classified to this sector; for example, the Reserve Bank of Australia is included in the financial corporations’ sector.
A1.10 Households and unincorporated enterprises are included in the one sector because the owners of ordinary partnerships and sole proprietorships frequently combine their business and personal transactions. Non-profit institutions serving households (NPISHs) comprise all resident non-market NPIs that are not controlled by government.¹¹⁸ Such NPIs provide goods and services to households free, or at prices that are not economically significant.
A1.11 The general government sector includes all departments, offices and other bodies mainly engaged in the production of goods and services for consumption by governments and the general public, whose costs of production are mainly financed from public revenues. NPIs which are mainly financed and controlled by governments are included in this sector.
A1.12 The rest of the world sector encompasses non-resident governments, businesses and persons that engage in transactions with Australian residents. It includes only non-resident units that enter into or have other economic links with Australian resident units. Therefore, non-resident units are excluded from all other sectors.
A1.13 Further information on the classification of institutional sectors in ABS statistics is contained in the ABS publication, Standard Economic Sector Classifications of Australia, 2008.
Functional classification
A1.14 The 2008 SNA proposes 'functional' classifications to identify the 'functions'—in the sense of 'purposes' or 'objectives'—for which groups of transactors engage in certain transactions.
A1.15 The 2008 SNA uses functional classifications to analyse expenditure by different sectors. They are:
- Classification of Individual Consumption by Purpose (COICOP);
- Classification of the Functions of Government (COFOG);
- Classification of the Purposes of Non-Profit Institutions Serving Households (COPNI); and
- Classification of Outlays of Producers by Purpose (COPP).
A1.16 The ASNA uses COICOP and COFOG to classify household and government expenditures. COPNI and COPP are not used in Australia's national accounts. The household final consumption expenditure data is classified according to a modified version of the COICOP. The government final consumption expenditure data is classified according to the Australian version of the Classification of the Functions of Government (COFOG-A).
A1.17 COICOP is used to classify individual consumption expenditures in the household final consumption expenditure aggregate. Individual consumption expenditures are defined as those which are made for the benefit of individual persons or households. COICOP groups together goods and services that serve similar functions.
A1.18 In the ASNA, the classification of HFCE is aligned, as far as possible, with COICOP. However, there are some instances where it is not yet possible for Australia to follow COICOP's recommendations. For example, Australia does not include an estimate of HFCE on narcotics or prostitution services (classified in COICOP item 02 Alcoholic beverages, tobacco and narcotics and item 13.9 Other Services respectively). Reliable data on narcotics and prostitution expenditure are currently unavailable. The functional categories of HFCE are based on COICOP and modified for Australian circumstances in the ASNA. The categories include:
- Food and non-alcoholic beverages
- Alcoholic beverages and tobacco
- Clothing and footwear
- Housing, water, electricity, gas, and other fuels
- Furnishings, household equipment and routine household maintenance
- Health
- Transport
- Communication
- Recreation and culture
- Education
- Restaurants and hotels
- Miscellaneous goods and services.
A1.19 Transactions that are associated with non-profit institutions serving households, and included in the household sector, are currently aligned to the COICOP functional classification.
A1.20 COFOG is the classification proposed by the 2008 SNA for the functions of government. It is designed to classify current transactions (such as consumption expenditure, subsidies and current transfers), capital outlays (capital formation and capital transfers), and acquisition of financial assets by general government and its subsectors.
A1.21 Government final consumption expenditure is current expenditure by general government bodies on services to the community such as defence, education, and public order and safety. In the ASNA, the classification of GFCE is aligned with COFOG-A presented in AGFS15 since 1 July 2017, and is based on the 2008 SNA COFOG. The categories used are as follows:
- General public services
- Defence
- Public order and safety
- Economic affairs
- Environmental protection
- Housing and community amenities
- Health
- Recreational, culture and religion
- Education
- Social protection; and
- Transport
Changes to information regarding COFOG and GPC
From 04/03/2024,
The 2008 SNA uses functional classifications to analyse expenditure by different sectors. They are:
- Classification of Individual Consumption by Purpose (COICOP);
- Classification of the Functions Of Government (COFOG);
- Classification of the Purposes of Non-profit Institutions serving households (COPNI); and
- Classification of Outlays of Producers by Purpose (COPP).
Previously this publication stated that the General Purpose Classification and the Local Government Purpose Classification were also used. Paragraph A1.15.
The ASNA uses COICOP and COFOG to classify household and government expenditures. Previously this publication stated that COPNI and COPP were used to classify household and government expenditures. Paragraph A1.16.
Paragraphs A1.15 and A1.16 prior to 04/03/2024 update
Industry classification
A1.22 The industry classification employed throughout the ASNA is based on the Australian and New Zealand Standard Industrial Classification, 2006 (ANZSIC06). ANZSIC identifies groupings of businesses which carry out similar economic activities. Each grouping defines an industry. The similar economic activities which characterise the businesses concerned are referred to as activities primary to that industry.
A1.23 The ANZSIC structure comprises categories at four levels namely, Divisions (the broadest level), Subdivisions, Groups and Classes (the finest level). At the Division level, ANZSIC provides a broad overall picture of the economy, and, hence, it is suitable for publication in summary tables in official statistics. The subdivision, group and class levels provide increasingly detailed dissections of the broad categories.
A1.24 In the ASNA, ANZSIC is employed with the single modification being that ownership of dwellings is treated as a separate industry. Industry detail is generally provided at the Division level. In preparing the accounts, it is sometimes necessary to shorten some of the lengthier ANZSIC Division title descriptions. Where this occurs, no change in industry definition or content is implied.
A1.25 The industry classifications used for S-U tables and I-O tables—Supply-Use Industry Classification and Input-Output Industry Group—are also based on ANZSIC, but in some respects they depart from the usual application of that classification. For I-O tables, it is desirable that an industry corresponds as closely as possible to the production of products primary to that industry. This applies especially where units classified to an industry produce significant amounts of products primary to another industry which has quite a different pattern of inputs. In these cases, where practical, secondary or subsidiary production is treated as output of the industry to which production is primary; this process is called redefinition of production.
A1.26 Redefinitions of production were included in the I-O tables up until 1996-97 and they can be found in the ABS publication, Input-Output Tables, 1996–97. Since 1996-97, redefinitions are no longer included in the I-O tables.
Product classification
A1.27 The product classifications employed in the ASNA are the Supply-Use Product Classification and Input-Output Product Classification. The S-U and I-O systems describe the production and subsequent use of all goods and services in the economy; hence, the SUPC and IOPC are defined in terms of the characteristic products of industry.
A1.28 The structure of the SUPC and IOPC arise from their industry-of-origin basis. In an industry-of-origin classification, each product item is shown according to the industry in which it is primarily produced. Thus, the structure of the SUPC and IOPC consists of industry of origin headings with detailed product items shown under each heading.
A1.29 The overall principles for the preparation of such an industry-of-origin product classification are:
- homogeneity of inputs—each product or product group should consist of items that have similar input structures or technology of production. This principle is generally applied through the definition of each SUPC and IOPC item in terms of the ANZSIC industry sector in which it is mainly produced; and
- homogeneity of disposition—each product or product group, having satisfied the first criterion, should consist of items that have similar patterns of disposition or usage. This principle is applied by reference to the description of source data items and information about the transport, distribution and product taxation margins applying to particular products.
A1.30 This structure is implemented in the SUPC and IOPC by the adoption of ANZSIC classes as the basis for defining SUPC and IOPC items. In the Input-Output tables, each IOPC item is identified by an eight-digit code, with the first four digits indicating the ANZSIC class to which the item is primary, and the last four digits indicating the product number within the ANZSIC industry-of-origin class.
A1.31 At its most detailed level, the IOPC comprises approximately 900 individual product items. For a full description of the nature, purpose and principles underlying this classification, see Australian National Accounts: Input-Output Tables. Further information about the SUPC can be found in Australian National Accounts: Supply-Use Tables.
Asset classification
A1.32 The 2008 SNA describes three types of assets that should be included in the national accounts:
- non-financial produced assets;
- non-financial non-produced assets; and
- financial assets (and liabilities).
A1.33 Non-financial produced assets are defined as non-financial assets that have come into existence as outputs from processes that fall within the production boundary of the 2008 SNA. Produced assets need not be goods only. The 2008 SNA classifies mineral exploration expenditure, research and development, computer software and the value of produced entertainment, literary or artistic originals also under the heading of produced assets. Such assets were previously described as intangible but are now referred to as intellectual property products.
A1.34 There are two main types of produced assets: fixed assets and inventories. Both fixed assets and inventories are assets that are held only by producers for purposes of production.
A1.35 Fixed assets are defined as produced assets that are themselves used repeatedly, or continuously, in processes of production for greater than one year. The distinguishing feature of a fixed asset is not that it is durable in some physical sense, but that it may be used repeatedly or continuously in production over a long period of time, taken to be more than one year. Some goods, such as coal, may be highly durable physically but cannot be fixed assets because they can be used once only. Fixed assets include not only structures, machinery and equipment, but also cultivated assets such as trees or animals that are used repeatedly or continuously to produce other products such as fruit or dairy products. They also include assets such as research and development, computer software or artistic originals used in production. Inventories consist of:
- stocks of outputs that are still held by the units that produced them prior to them being further processed, sold, delivered to other units or used in other ways; and
- stocks of products acquired from other units that are intended to be used for intermediate consumption or for resale without further processing.
A1.36 Inventories are held either as finished goods, work-in-progress or raw materials.
A1.37 Non-financial non-produced assets are defined as non-financial assets that have come into existence in ways other than through processes of production. This group includes among other things, land, water, mineral and energy resources, and native forests. Also included are transferable contracts and purchased goodwill. At present, there is insufficient data to include estimates of water, purchased goodwill and transferable contracts in non-financial non-produced assets in the ASNA; the exception being spectrum licences which is included.
A1.38 Financial assets (and liabilities) differ from other assets in the national accounts in that, when a financial asset is owned by an institutional unit, there is (with the exception of SDRs) a counterpart liability on the part of another institutional unit. Financial assets include monetary gold, special drawing rights (SDRs) on the International Monetary Fund, cash and deposits, securities other than shares, loans and placements, shares and other equity, and other accounts receivable/payable.
A1.39 2008 SNA describes in greater detail the classification of assets and liabilities in the national accounts in Chapter 10 The capital account and Chapter 11 The financial account, as well as Annex 1 The classification hierarchies of the SNA and associated codes.
Endnotes
Appendix 2 Differences between ASNA and 2008 SNA
Introduction
A2.1 As mentioned previously, the ABS endorsed the 2008 edition of the SNA, and has implemented its recommendations to the fullest extent practicable. There are a number of 2008 SNA recommendations and treatments that the ABS does not plan to implement or is not currently in a position to implement because of inadequate data. These recommendations and treatments, relating to concepts, the production boundary and presentation, are described below.
Non-profit institutions serving households sector
A2.2 The SNA recommendations are adhered to with regard to the sectoral allocation of NPIs classified as market producers, and those which are controlled by government units. The latter are not recognised in the ASNA as there are considered to be few (if any) operating in Australia, and their operations are assumed to be insignificant.
A2.3 In principle, the ABS has agreed to identify and implement the NPISH sector. Due to source data limitations, it will be some time before a complete set of accounts for this sector can be developed, including the provision of an adequate time series. In the interim, NPISHs are included in the household sector. For more information, see the feature article in the 2013-14 issue of Australian System of National Accounts on the deconsolidation of household income account.
Non-money market investment funds
A2.4 The 2008 SNA includes all non-money market investment funds in the financial corporations sector. The ABS considers that non-money market investors which invest mainly in non-financial assets should be included in the non-financial corporations sector, and be referred to as non-financial investment funds. Non-financial investment funds mainly invest in real estate.
A2.5 Non-money market investment funds that invest mainly in financial assets are classified to the financial corporations sector. They are referred to as non-money market financial investment funds.
Holding companies
A2.6 The 2008 SNA indicates that holding companies (a unit which holds the assets of subsidiary corporations but does not undertake any management activities) receive the sectoral classification of captive financial institutions and money lenders. This treatment would result in the holding companies of some very large enterprise groups being classified to a sector other than the main activity of the group. The ASNA treatment for holding companies in the financial accounts and balance sheets is that they receive a sector classification that reflects the major economic activities of the controlled entities.
Definition of basic prices
A2.7 The 2008 SNA reaffirms the 1993 SNA treatment of basic prices. Analysts who use I-O tables, however, have expressed a strong preference for the 1968 SNA definition of basic prices. The 1993 SNA altered the definition of basic prices with regard to the treatment of transport margins, so that transport which is not separately invoiced is included in the basic price, while that which is separately invoiced is not included in the basic price of the product being transported. This was a change from the 1968 SNA definition of basic price which excluded the transport component whether separately invoiced or not.
A2.8 The ABS considers that the 1968 SNA definition provides more useful statistics for detailed analysis of the Australian economy, and has implemented this basic price definition in the I-O tables. This treatment results in changes to estimates of output and intermediate consumption by industry for series at basic prices, with no impact on gross value added or GDP series at purchasers' prices. The 2008 SNA treatment of transport margins is implemented in the S-U tables, which constitute benchmarks for the annual and quarterly GDP accounts.
Identification of market and non-market transactions
A2.9 The 2008 SNA makes a distinction between market and non-market output in the measurement of production. The latter includes services provided by general government, housing services produced for own consumption by owner occupiers, and own-account capital formation. The ABS does not explicitly make this distinction in either the I-O tables or the national income, expenditure and production accounts. Some major components of non-market output are available separately in the ASNA, such as government final consumption expenditure and imputed rent of ownership of dwellings.
Consolidation – income account, financial account and financial balance sheets
A2.10 The sectoral and total economy, for the income account, financial account and financial balance sheets, are produced on a consolidated basis in the ASNA. The 2008 SNA recommends unconsolidated compilation of these accounts. The ABS does not believe this practice produces analytically meaningful estimates and in some cases may be misleading as they contain double-counting. For example, financial resources of the sector (or subsectors) will be overstated within the financial accounts and balance sheets, as will liabilities. From an analytical perspective, the increase in assets and liabilities of the banking system is money moving through the financial system without an economic impact; for example, by counting an interbank deposit as both an asset and liability of the banking sector. Similarly, increasing household income and expenditure by the same amounts through measuring inter-household income transfers is not analytically useful in the macroeconomic context.
Illegal activities
A2.11 The 2008 SNA recommends that, in principle, all economic transactions associated with illegal activities should be included in the accounts. Current estimates in the ASNA do not include any specific estimates for such activities, but some transactions arising from them are likely to be included in the data sources used to compile the accounts. For example, some income earned from illegal gambling or prostitution activities may be reported as unincorporated business income in the taxation statistics. ABS research has identified that the current adjustments to GDP for underground production and informal production adequately account for the estimated activities of the non-observed economy. For further information, see Information Paper: The Non-Observed Economy and Australia’s GDP, 2012.
Crops – time of recording in output and GDP
A2.12 The 2008 SNA recommends that cultivated natural growth be included in output as work-in-progress or gross fixed capital formation over the entire period of the growth process. This recommendation covers growth of agricultural crops, livestock, cultivated fish and crustaceans, vineyards, orchards and timber tracts. In the 1968 SNA, only growth in livestock and fishstock were treated in this way, although the recommended treatment was not adopted in the ASNA. The existing ASNA treatment is to include crops and forest products in output when harvested, but to follow the 2008 SNA recommendations for major categories of livestock (i.e. beef and dairy cattle and sheep).
A2.13 The recommendations for crops and forest products have not been implemented for data availability and operational reasons. Implicitly this means crops have no economic value until harvested. Implementation of the 2008 SNA treatment for crops would require crop output to be forecast at the beginning of the crop year and then distributed to quarters as crop growth occurs. Because the crop year generally spans more than one financial year in Australia, it would also require a redistribution of output across years. Given Australia's variable weather conditions, which can give rise to downgrading or destruction of crops prior to harvest, as well as variations in prices for agricultural commodities, revisions to the previous year could be substantial if the 2008 SNA approach were to be adopted. A further difficulty is that measurement of the crop production process throughout the season would be quite arbitrary, given the amount of growth allocated to quarters will differ from crop to crop, from year to year, and from region to region. The major expenses associated with wheat production would be incurred in the June (planting) and December and March (harvesting) quarters, although substantial crop growth would also occur during the September quarter. Notwithstanding the somewhat arbitrary nature of the recommended allocator, quarterly costs data by type of crop are not available. Furthermore, farm income estimates are less certain under the 2008 SNA and are subject to revision in line with changes in forecasts.
A2.14 The approach taken to the treatment of crop output in the accounts can have a significant impact on year-to-year growth, especially in a year following the breaking of, or coming into, a drought. In the quarterly accounts, the choice of seasonal adjustment method is of major importance to the interpretation of the data. Because crop output is almost exclusively in the December and the March quarters, it is difficult to seasonally adjust in the standard manner. Instead of the standard multiplicative time series model, where the seasonal and residual components are both directly proportional to each other and to the trend, a pseudo-additive model is used, where the relationship with the trend is preserved but seasonal and residual components are no longer proportionally related to each other. This allows for an adequate seasonal adjustment to be made of time series data, such as crop output, where regular null quarterly estimates are observed in the original time series. This method of seasonal adjustment is applied to aggregate cereal crops (wheat, barley, other cereals), to other crops such as sugar cane and fodder and grass, and to wheat marketing costs in both current price and volume terms.
Repairs and maintenance of dwellings
A2.15 The 2008 SNA recommends that purchases of materials used for minor repairs and maintenance (i.e. do-it-yourself activities of decoration and minor repairs), which are normally the responsibility of the tenant, should be treated as household final consumption expenditure for both owner-occupiers and renters. The ASNA deviates from this recommendation and treats all repairs and maintenance on dwellings as intermediate consumption of the Ownership of dwellings industry.
Speculative construction – timing of recording in gross fixed capital formation
A2.16 The 2008 SNA recommends that speculative construction be shown as part of inventories until the ownership has been transferred to the eventual user of the asset. Hence, work done on speculative construction would not be treated as gross fixed capital formation until that time. The value of output would remain as part of the work-in-progress of the institutional unit producing the asset until sold. However, construction for own use or work completed under contract of sale should be included as gross fixed capital formation as the work is put in place. The ASNA currently adopts the latter treatment for all building and construction activity, including speculative construction.
A2.17 The ABS has decided to retain the existing approach in the ASNA for operational reasons, and because the ASNA treatment is not regarded as a significant departure from the intentions of the 2008 SNA. It would be difficult to collect the data needed to implement the 2008 SNA treatment in the ABS Building Activity Survey, which is the major source of data on the value of new buildings for the national accounts. In particular, the nature of the survey would have to change from a 'work done' basis to an 'inventories' basis for speculative building projects. Information about individual speculative building projects would need to be collected until the building was sold. It is considered that the gains in adopting the 2008 SNA treatment of speculative construction are minimal and not worth the extra burden on respondents, especially as there would be no impact on the measurement of GDP. Moreover, speculative activity is only important at certain times in the building cycle and, as dwellings are generally completed over one or two quarters, any timing adjustment to investment and capital stock would be relatively insignificant.
Sick leave, termination and redundancy payments
A2.18 The 2008 SNA recommends that severance, termination, and redundancy payments by employers; sick leave payments; and payments for other forms of leave other than annual leave and long service leave; be classified as employers' social contributions. In Australia, however, data providers are unable to consistently differentiate between these various types of severance and leave payments, and other wage and salary payments. Therefore, these payments are included in the ASNA estimates of wages and salaries.
Superannuation contributions and benefits in the household income account
A2.19 In the ASNA, employers' contributions to superannuation funds (a component of compensation of employees), and interest received on householders' equity in life insurance and pension funds, are recorded as household income and contribute to disposable income and saving. Contributions to and drawdowns from superannuation reserves are treated as financial transactions by households and do not impact on income or saving. In addition, contributions placed with financial institutions managing superannuation funds are not treated as income of the financial institutions, neither are payments of benefits from the funds regarded as disbursements of income from the financial institutions. Rather, the contributions made to the schemes and the benefits paid by them, represent changes in the equity of households in the schemes and are reflected instead in the financial accounts and balance sheets.
A2.20 The 2008 SNA continues this conceptual treatment in so far as it affects household saving. In contrast to the ASNA practice, it recommends that some additional transactions on account of superannuation should be included in households' secondary income receivable and payable, in order to make explicit the underlying economic processes taking place. Actual receipts of benefits would be shown as receipts of secondary income by households. Similarly, contributions by households to superannuation schemes (both the employers' and employees' components, including property income attributable to householders' equity) would be shown as secondary income payable. Therefore, the 2008 SNA treatment alters the measure of household disposable income. In order to maintain the conceptual integrity of the system, the additional transactions need to be reversed by including the item, 'Adjustment for change in net equity of households on life insurance and pension funds', so as to leave household saving unaffected. The ABS has not implemented the 2008 SNA treatment in the ASNA as it is considered too confusing for users of the accounts.
Ownership transfer costs – separately identified
A2.21 The 2008 SNA includes ownership transfer costs (OTCs) in the values of dwellings and non-dwelling construction and a separate series for OTCs on non-produced assets (excluding land as these are included with land improvements, a component of non-dwelling construction). The ASNA, however, records all OTCs as a separate item.
A2.22 OTCs in the ASNA relate to dwellings, non-dwelling construction, and unoccupied land. They are compiled on a quarterly basis; the annual estimate is the sum of the four quarters produced. The basic calculation of total ownership transfer costs is as follows:
Total ownership transfer costs | = | Stamp duty |
plus Government charges | ||
plus Real estate agents fees | ||
plus Legal fees |
A2.23 Stamp duties and real estate fees combined contribute over ninety per cent of total ownership transfer costs. The remainder is attributed to legal fees and government charges, including fees paid to lawyers; fees and commissions paid to real estate agents, auctioneers, architects, surveyors, engineers and valuers; Titles Office charges; and local government charges.
Databases
A2.24 The ASNA does not separately identify databases from computer software. The valuation treatment in ASNA is consistent with the 2008 SNA treatment. It remains unclear if the entire scope of database production, particularly the updating of databases, is being captured in practice. Further work is being undertaken to ensure the activity is measured completely.
Valuables – inclusion within the asset boundary
A2.25 The 1993 SNA introduced a new produced non-financial asset; namely, valuables. Valuables are defined as goods of considerable value that are not used primarily for purposes of production or consumption but are held as stores of value over time. The economic benefits embodied by these assets are that their values are not expected to decline relative to the general price level. For Australia, the most important of these assets is gold. While the 1993 and 2008 SNA treatments are supported in principle, existing and prospective data availability is a major problem. It has not been possible to implement this treatment in the ASNA at this stage, although further investigations will be undertaken. In the ASNA, that part of gold production which is retained as a store of value will contribute to the item 'changes in inventories' rather than to an item for 'valuables'.
Purchased goodwill and marketing assets – inclusion within the asset boundary
A2.26 Purchased goodwill and marketing assets are classified as non-produced assets. Due to data limitations, these assets are not included in ASNA.
Contracts, leases and licences – inclusion within the asset boundary
A2.27 Contracts, leases and licences includes marketable operating leases; permits to use natural resources; permits to undertake specific activities; and entitlement to future goods and services on an exclusive basis. The ASNA includes permits to use natural resources only, which includes spectrum licences.
Monetary gold
A2.28 The 2008 SNA definition of monetary gold is gold to which the monetary authority has title, and which is held as reserve assets. All monetary gold is included in reserve assets or is held by international financial organisations, and is treated as a financial asset, even though the holders do not have a claim on other designated units.
A2.29 The ASNA treatment of monetary gold departs slightly from the treatment outlined in the 2008 SNA in that a liability of the rest of the world is imputed. The reason for not adopting the 2008 SNA treatment is to preserve consistency with the international investment position (IIP) for Australia within the financial accounts. The IIP according to Balance of Payments and International Investment Position Manual, 6th edition (BPM6) permits recording of assets in the form of monetary gold as assets of the domestic economy (i.e. external claims). In re-presenting external claims data in a 2008 SNA framework, the major presentation is to show cross-border positions as assets and liabilities of the rest of world. Thus, the external assets of BPM6 are represented as foreign liabilities, and external liabilities are represented as foreign assets, in the financial accounts. The IIP (external assets less external liabilities) of BPM6 should be derivable from the rest of world accounts in the ASNA; that is, foreign liabilities less foreign assets. Omitting monetary gold from liability positions of the rest of the world will not produce this result. This treatment in ASNA has been adopted to minimise confusion among the users of the statistics.
Repurchase agreements
A2.30 A repurchase agreement (repo) involves the sale of securities or other assets with a commitment to repurchase equivalent assets at a specified date. The buyer may on-sell these securities to another party. Both the 1993 SNA and BPM5 treated repos as collateralised loans, or as other deposits if repos involve liabilities classified under national measures of broad money. After considering whether the 1993 SNA treatment should be revised to treat repos as security trades rather than loans, the international community decided that 2008 SNA would continue the 1993 SNA treatment (collateralised loan), and the issue would be placed on the international long-term research agenda.
A2.31 The collateralised loan treatment is not supported by the ABS. The ABS maintains that the best statistical representation of a repo is that of a sale of securities, with the obligation to sell/buy-back similar securities recorded as a forward contract (i.e. a form of derivative). This treatment has the advantage of unduplicated recording of securities assets whereas the collateralised loan approach (2008 SNA) requires recording of negative security assets to maintain equality between total securities' asset holdings and total securities' liabilities on issue. The ABS treatment will impact on compositional aspects (e.g. securities versus loans, classification of asset holders), but will have no impact on analytical aggregates (net assets, net lending/borrowing).
Recording interest on debt securities
A2.32 The 1993 SNA and BPM5 did not explicitly clarity the situation of changing interest rates and the measurement of income flows on tradable securities. There are two schools of thought on this topic. The debtor approach records the interest accruing at the contractual rate agreed at the time of issue of the security. The creditor approach records the interest accruing at the current market interest rate. Proponents of the debtor approach argue that it records the legal liability of the debtor to the creditor. Proponents of the creditor approach argue that it is consistent with the market valuation principle. The 2008 SNA and BPM6 recommend the debtor approach be applied for recording interest accruing on debt securities. This approach leads to complications when interest rates change after the date of issue of variable interest rate instruments.
A2.33 The ABS applies the creditor approach as the best reflection of the market reality in terms of valuing the underlying instrument and the interest that accrues over the life of the instrument. The ABS will maintain consistency throughout the accounts by applying the creditor approach for debt securities.
Valuation of loans and placements
A2.34 Financial institutions make a general provision for loan losses based on known characteristics of the loan portfolio and its performance over time. Because the provision is general, the specific loan contracts and the counterpart liabilities incurred are not identifiable, making it conceptually difficult to record such a provision in the 2008 SNA accounting structure. By contrast, specific provisions for impairment arising from poor performance (non-performing) of an individual loan contract are more certain as to likely occurrence and counterparty identification.
A2.35 The 2008 SNA recommends valuation of loans in the balance sheet at nominal value, with non-performing loans identified and two memorandum items concerning them included in the balance sheet of the creditor. The first is the nominal value of the loans so designated, including any accrued interest and service charges. The second is the market equivalent value of these loans.
A2.36 The ABS considers that, in order to maintain consistency regarding the valuation of all financial instruments, market valuation of loans or a close approximate should be recorded. The ASNA takes into account specific loan loss provisions in valuing loan portfolios and their counterparts and as a result the closest approximation to market value or fair value is recorded in the ASNA. The ASNA does not take account of general loan loss provisions. Valuation of loans at nominal values is produced in supplementary tables in the ASNA.
Economically demonstrated resources
A2.37 The SNA 2008 defines mineral and energy resources as proven subsoil resources of coal, oil and natural gas, metallic minerals or non-metallic minerals that are economically exploitable given current technology and relative prices. In the ASNA, the volume of mineral and energy resources available for production is more accurately reflected by the term 'economically demonstrated resources' (EDR), which equates to proven plus probable resources. EDRs are those resources that have a very high probability of existence, and are economically feasible to extract, given current technology and relative prices.
Recording of emissions reduction schemes
A2.38 Emissions permits are unique policy instruments designed to achieve specific economic and environmental objectives. They have some properties of the broad category of contracts, leases and licences and share certain characteristics with other types of permits issues by governments. The discussion of emissions trading schemes in the 2008 SNA was found to be inadequate in the face of rapid development of schemes internationally.
A2.39 As a result, the international statistical community, through the United Nations Statistical Commission (UNSC), made a decision on the treatment of greenhouse gas emission reduction schemes in February 2012 which effectively updates the 2008 SNA. In arriving at this decision, there was significant disagreement over valuation and timing of recognition of elements of such schemes that involve a market trading component, such as cap and trade schemes.
A2.40 The international statistical community ratified a treatment based on a historic cost approach. The ABS disagreed with the UNSC decision, considering that the endorsed treatment will distort the impact of such schemes on both government and business statistics as represented in the national accounts. Accordingly, the ABS consulted with stakeholders about the implications of deviating from recommended international standards in respect of this case, and, as a result, has decided to apply fundamental market valuation principles to such schemes.
A2.41 For further information, see Information Paper: Recording Emissions Reduction Schemes in ABS Statistics.
Presentation of the accounts in ASNA
A2.42 The main differences between the ASNA and the 2008 SNA presentation of accounts include:
- The ASNA GDP account is presented as three separate accounts reflecting each measure of gross domestic product. That is expenditure, production (i.e. gross value added) and income (i.e. 2008 SNA account for generation of income).
- The ASNA income accounts are a combination of the 2008 SNA accounts for allocation of primary income, secondary distribution of income, and use of income.
- The 2008 SNA's Other changes in volume of assets account and Revaluation account are not presented as separate accounts, rather the details contained in these accounts are presented as part of ASNA's Balance sheets.
- The Non-profit institutions serving households sector is not separately identified. It is combined with the Households sector.
Appendix 3 Links between business accounts and national accounts
A3.1 The gross domestic product account represents a consolidation of the trading accounts of individual enterprises. An enterprise engaged in trading (whether in production in the narrow sense, in distribution, or in the provision of other services), will have a 'production or trading account' which in simplified form will be something like the following
$'000 | $'000 | ||
---|---|---|---|
Opening inventories | 20 | Sales | 210 |
Wages and salaries | 100 | Subsidies | 2 |
Current purchases | 50 | Closing inventories | 25 |
Taxes on production and imports | 15 | ||
Gross operating surplus | 52 | ||
Total | 237 | Total | 237 |
The two sides balance, the balancing item being gross operating surplus.
A3.2 This account can be simply rearranged to show the 'gross product' of the enterprise; that is, its contribution to gross domestic product. In rearranging the account, subsidies are offset against taxes on production and imports. An enterprise may regard a subsidy as little different from sales proceeds. However, in the national accounts, subsidies are regarded as transfer payments from general government, enabling enterprises to sell their output for less than would otherwise be the case. In this respect, they are exactly opposite in their effect to production taxes. The inventories entries are rearranged. Instead of 'opening inventories' and 'closing inventories', the entries are combined to become 'changes in (the value of) inventories' (during the accounting period). Each side now adds up to the total turnover of the business (additions to inventories being treated as turnover for this purpose). The 'gross product' of the enterprise is the sum of wages and salaries paid, the gross operating surplus and taxes less subsidies on production and imports and can be written in as a subtotal. Rearranged, the account now shows the following:
$'000 | $'000 | ||
---|---|---|---|
Wages and salaries | 100 | Sales | 210 |
Taxes less subsidies on production and imports | 13 | ||
Gross operating surplus | 52 | Change in inventories | 5 |
Gross product | 165 | ||
Current purchases | 50 | ||
Total | 215 | Total | 215 |
A3.3 A production account in the same form can be drawn up for a financial enterprise, although financial enterprises present a special problem (see paragraph A3.13 below). The following results are illustrative of production accounts in this form being consolidated for all enterprises. Current purchases by enterprises from other enterprises (i.e. purchases other than for capital purposes), which appear as both current purchases and sales, cancel out on both sides, and purchases from overseas (imports of goods and services) remain on the left side. On the right side, the only sales left are export sales, sales to buyers other than enterprises (i.e. to consumers and general government) and sales to enterprises for capital purposes (i.e. purchases by these enterprises which are not currently charged to their production accounts).
$m | $m | ||
---|---|---|---|
Wages and salaries | 150 | Sales to: | |
Gross operating surplus | 50 | Consumers | 174 |
Taxes less subsidies on production and imports | 25 | General government (current) | 5 |
Gross product | 225 | General government (capital) | 5 |
Current purchase from general government | 1 | Enterprises for capital purposes | 45 |
Imports of goods and services | 40 | Overseas (i.e. exports of goods and services) | 35 |
Changes in inventories | 2 | ||
Total turnover | 266 | Total turnover | 266 |
A3.4 The next stage in developing a production account for the whole economy is to add a production account for general government (public enterprises like railways, Australia Post, electricity and water supply undertakings, and government banks, are not included in general government because they are regarded as enterprises).
A3.5 The 'production account' for general government would be on the following lines:
$m | $m | ||
---|---|---|---|
Wages and salaries | 40 | Charges made for services to: | |
Current purchases from enterprises | 5 | Consumers | 2 |
Imports of goods and services | 1 | Enterprises | 1 |
Consumption of fixed capital | 5 | Balance | 48 |
Total | 51 | Total | 51 |
A3.6 If general government were treated in the same way as enterprises, the 'balance' would have to be considered a gross operating loss. The reason is that the payments for wages and salaries and other purchases by general government bodies considerably exceed the small amounts they receive by charging for their services (e.g. charges made by government schools for sales or hire of textbooks). Their major source of income is from income taxation, and this does not appear in their production accounts.
A3.7 The 'output' of general government is not measured, for national accounting purposes, by the charges it makes for its services. Instead, it is valued, by convention, according to the cost of supplying the services; that is, the total of the items on the left side of the above account (which, of course, is equal to the total of the items on the right side). In effect, general government as a producer is regarded, apart from the minor charges to other sectors, as producing goods and services for 'sale' (at net cost) to a general government income account for final use by general government. The item called 'balance' in the above table is therefore renamed 'government final consumption expenditure'.
A3.8 This 'production account' for general government can now be consolidated with that for enterprises. Current purchases from enterprises and charges made to enterprises cancel out with the corresponding items in the enterprise production account. Imports of goods and services become the total for the whole economy. The remaining wages and salaries to be added are those paid by persons (to domestic servants, etc.), and those paid by non-profit organisations, whose activities are here included with those of persons. If these wages and salaries are added to the left side and the value of the equivalent services to persons are added to the right side (as a form of 'production account' for these activities), total wages and salaries for the whole economy are now shown on the left side. On the right side, instead of 'sales to consumers', the appropriate entry is 'household final consumption expenditure' (including the cost of domestic services and the expenses of non-profit organisations).
A3.9 With these changes, and some renaming, the consolidated production account for enterprises can be presented as a consolidated production account for the whole economy:
$m | $m | ||
---|---|---|---|
Wages and salaries | 195 | Household final consumption expenditure | 181 |
Gross operating surplus | 55 | General government final consumption expenditure | 48 |
Taxes less subsidies on production and imports | 25 | Gross fixed capital formation by enterprises | 45 |
Gross fixed capital formation by general government | 5 | ||
Changes in inventories | 2 | ||
Gross national expenditure | 281 | ||
Exports of goods and services | 35 | ||
less Imports of goods and services | 41 | ||
Gross domestic product | 275 | Gross domestic product | 275 |
A3.10 The derivation of many of the items in this account is obvious as they are simply carried down from one of the two preceding production accounts. However, the derivation of some aggregates is more complicated. Such cases are elaborated
Wages and salaries ($195m) | = | Enterprises ($150m) + General government ($40m) + Persons and NPISH ($5m) |
Gross operating surplus ($55m) | = | Enterprises ($50m) + General government consumption of fixed capital ($5m) |
Household final consumption expenditure ($181m) | = | Enterprises sales ($174m) + General government sales ($2m) + Persons and NPISH ($5m) |
A3.11 In effect, this account is the same as the gross domestic product measured by the income and expenditure approaches shown in the Australian national accounts. It should be noted, however, that the changes in the value of inventories as calculated from existing business accounting records do not fulfil the requirements of national accounting. For national accounting purposes, physical changes in inventories should be valued at the prices current at the time the changes occur. Where the value so derived differs from that obtained from business accounting records, an 'inventory valuation adjustment' equal to the difference between the change in ‘book’ value of inventories and the value of physical changes at current prices should be applied. This adjustment has to be deducted from gross operating surplus, and, consequently, from gross domestic product, if these are estimated, in the first instance, from sources consistent with 'book' values.
A3.12 In gross domestic product measured by income approach, the item above for wages and salaries is replaced by the term 'compensation of employees', which includes wages and salaries, employer contributions to superannuation and workers' compensation premiums. In addition, gross operating surplus for unincorporated trading enterprises is renamed 'gross mixed income', in recognition of the fact that the income accruing to the owners of unincorporated businesses includes a return to labour as well as a return to capital. Gross fixed capital formation is shown separately for private and public enterprises.
A3.13 In the above discussion, financial enterprises were treated in precisely the same way as trading enterprises, but it was mentioned that they present a special problem. Financial enterprises are businesses mainly engaged in financial transactions in the market consisting of borrowing and lending, providing insurance or providing financial auxiliary services. Their main source of income is either a margin between interest received and interest paid or a margin between insurance premiums and the related claims. Their payments for wages and salaries and other purchases typically exceed the small amounts they receive as separate charges for their services (e.g. charges by banks for keeping current accounts or clearing cheques). If these separate charges are treated as the only charges they make for their services, the production account would show a gross operating loss. Results comparable with those for other enterprises are obtained by acknowledging that certain receipts of financial enterprises include a service charge element, and by including this in the calculation of their gross operating surplus. In effect, but with some qualifications, the service charge element is estimated based on valuing the output of financial enterprises at cost plus a profit component. In the case of non-life and life insurance and superannuation, part of the premiums is treated as an insurance service charge (the service charge is also included in the purchases of the recipients of the services). In the case of other financial enterprises such as banks, credit unions and finance companies, the interest paid by borrowers can be regarded as comprising two components: a service charge and a 'pure' interest flow. Likewise, the interest paid to depositors can be viewed as a 'pure' interest flow from which a service charge has been deducted. The total imputed service charge is the sum of the imputed service charges for both borrowers and depositors.
Appendix 4 Changes in this addition
A4.1 The following table outlines the changes that have been made in this edition of the Australian System of National Accounts: Concepts, Sources and Methods.
Item | Change made | Table/paragraph number |
---|---|---|
Updates to sources and methods under the expenditure approach | Various updates to data sources and methods throughout the chapter, notably those related to Intellectual Property Products (IPP) data sources and methods. | Table 10.38 and throughout Chapter 10 |
Adjustment to household final consumption expenditure – Low Value Threshold | A coverage adjustment for purchases that fall below the low value threshold of $1,000, often from international websites. The adjustment is made as part of annual HFCE benchmarks. The change has been backcast to 1998-99. | Paragraph 10.43 to 10.45 |
Quarterly current price gross value added | Description of the compilation of quarterly current price gross values added (GVA) by industry from the income approach. | Paragraph 11.50 to 11.52 |
Update of subsidies by industry derivation | Addition of COVID-19 related other subsidies on production to list of industry specific subsides. | Tables 11.24, 11.25, paragraph 11.48 |
Mean asset lives and asset life distribution methods | Updates to mean asset lives and asset life distribution methods. Chapter update includes added information on definitions of the six-way asset split for machinery and equipment. | Tables 14.1, 14.3-14.5, paragraph 14.68 and throughout Chapter 14 |
Updates to sources and methods in the Financial account | New sub-sectors Authorised deposit-taking institutions (ADIs) and Other broad money institutions replace previously sub-sectors banks and other depository corporations. Data sources are updated for sub-sectors, including the use of APRA Economic and Financial Statistics (EFS) collection and APRA superannuation data. Method is updated for unlisted equity in investment funds. | Paragraphs 15.31, 15.36, Table 15.10 and throughout Chapter 15 |
Updated methods for productivity estimates | Multi-filter approach is used in estimates of productivity growth cycles for the market sector. Industry productivity growth cycles and experimental productivity estimates for states and territories are added. | Paragraphs 19.63-19.64, 19.66-19.69 |
New analytical series | Methods for new analytical series (e.g. Mining and non-mining private business investment) added. | Throughout Chapter 20 |
State accounts | Methods and source data changes for GSP(I) and GSP(P) sections. | Throughout Chapter 21 |
Glossary
Accrual accounting
The accounting process of recording flows at the time when economic value is created, transformed, exchanged, transferred or extinguished.
Acquisitions less disposals of non-produced non-financial assets
Includes three distinct types of non-produced non-financial assets: natural resources; contracts, leases and licences; and goodwill and marketing assets. At present, estimates of the value of purchased goodwill and marketing assets are not compiled for the ASNA.
Actual final consumption
Records consumption in the sector in which the good or service is actually consumed rather than in the sector than incurs the expenditure. See also Household actual final consumption and Government actual final consumption.
Adjusted disposable income
Consistent with the estimation of an alternative measure of consumption (see Actual final consumption), an alternative measure of disposable income can also be measured. Adjusted household disposable income is measured by adding the value of individual consumption (recorded as transfers in kind on the income side of the account) to gross disposable income.
Agricultural factor income
The total factor income arising from production in agriculture and services to agriculture. It is equal to the estimated gross value of production (after the inventory valuation adjustment) less estimated production costs other than compensation of employees and consumption of fixed capital for all enterprises engaged in agriculture and services to agriculture. It includes agricultural output produced by the household sector for its own consumption.
Agricultural income
The income accruing from agricultural production during an accounting period. It is equal to total agricultural factor income less consumption of fixed capital, compensation of employees, and net rent and interest payments.
Arm’s length
Balances and transactions between unrelated entities negotiated solely on normal commercial criteria. For example, loans to private non-financial corporations from banks, are arm's length borrowings for the purpose of Tables 1 and 2; but loans from members of the same enterprise group are not.
Artistic originals
Original films, sound recordings, manuscripts, tapes, models, etc., on which drama performances, radio and television programming, musical performances, sporting events, literary and artistic output, etc. are recorded or embodied. Included are works produced on own-account. In some cases, there may be multiple originals (e.g. films).
Assets
Store of value over which ownership rights are enforced by institutional units, individually or collectively, and from which economic benefits may be derived by their owners by holding them, or using them, over a period of time (the economic benefits consist of primary incomes derived from the use of the asset and the value, including possible holding gains/losses, that could be realised by disposing of the asset or terminating it).
Asset-backed security
A debt security which is backed by specific assets (such as mortgages over real estate) rather than the general credit-worthiness of the issuing entity.
Australian production
Australian production refers to the value at basic prices of goods and services produced in Australia.
Average compensation per employee
Calculated as total compensation of employees divided by the number of wage and salary earners from the monthly Labour Force Survey.
Balance sheet
A balance sheet is a statement, drawn up in respect to a particular point in time, of the values of assets owned and of the liabilities owed by an institutional unit or group of units. A balance sheet may be drawn up for institutional units, institutional sectors and the total economy.
Balancing item
A balancing item is obtained by subtracting the total value of the entries on one side of an account from the total value of entries the other side. It cannot be measured independently of the other entries. It does not relate to any specific set of transactions, or any set of assets, and so it cannot be expressed in terms of its own price or quantity units.
Balancing item (State Accounts)
The published balancing item in the State Accounts is the residual of Gross State Product (GSP) less state final demand less net international trade in goods and services. It implicitly comprises change in inventories at a State level, plus net interstate trade.
Base period
Refers to the period that provides the weights for an index.
Basic prices
The amount receivable by the producer from the purchaser for a unit of a good or service produced as output minus any tax payable, and plus any subsidy receivable, on that unit as a consequence of its production or sale. It excludes any transport charges invoiced separately by the producer. Output sold at prices that are not economically significant (see also Economically significant prices) is not valued at these prices. Rather, such output is valued at its cost of production.
Bearer securities
Debt securities for which the issuer does not maintain a register of current holders. Settlement of transactions (trades) may be affected by delivery.
Benchmarking
Benchmarking can have two meanings. The first refers to the practice of extrapolating from a high-quality observation for a particular period, or interpolating between two or more high quality observations, using a lesser quality, but more frequent indicator. The second refers to the practice of imputing quarterly values for a statistic by using a quarterly indicator, such that the resulting quarterly estimates are constrained to sum to the annual estimates.
Bills of exchange
An unconditional order drawn (issued) by one party, sent to another party (usually a bank) for acceptance and made out to, or to the order of, a third party, or to bearer (holder). It is a negotiable instrument generally with maturity of 180 days or less. Bills of exchange are also known as ‘banker’s acceptance’.
Bonds
Long-term securities where the issuer pledges to pay the holder the sum of money shown on the face of the document, on a date which at the time of issue generallymore than one year in the future. Many bonds on issue in Australia pay interest at a set percentage of face value every six months (known as “coupon interest”) for the life of the bond. Such bonds are known as fixed interest bonds. However, there are a significant amount of variable rate bonds and some deep discount (or zero coupon) bonds on issue.
Business and government tourism consumption
Business and government tourism consumption consists of the tourism consumption by resident businesses or governments on tourism related products within Australia. It is also referred to as internal tourism consumption by domestic businesses and government visitors.
Capital account
Records the values of the non-financial assets that are acquired or disposed of, by resident institutional units engaging in transactions, and shows the change in net worth due to saving and capital transfers or internal bookkeeping transactions linked to production (changes in inventories and consumption of fixed capital).
Capital deepening
Capital deepening (or capital intensity) refers to changes in the capital to labour ratio. Increased capital deepening means that, on average, each unit of labour has more capital to work with to produce output.
Capital productivity
Indexes of real GDP per unit of capital services used in production. Derived by dividing the index of the chain volume measure of market sector GDP by an index of capital services. The capital productivity indexes reflect not only the contribution of capital to changes in production, but also the contribution by labour and other factors affecting production.
Capital transfers
Unrequited transactions where:
- ownership of an asset (other than cash or inventories) is transferred from one institutional unit to another;
- cash is transferred to enable the recipient to acquire another asset; or
- the funds realised by the disposal of an asset are transferred.
Examples include general government capital transfers to private schools for the construction of science blocks or libraries, assistance to first home owners and transfers to charitable organisations for the construction of homes for the aged.
Central borrowing authorities
A statutory body - often called a Treasury Corporation - established by a State or Territory government to borrow on its behalf and on behalf of its trading enterprises, and to on-lend the funds raised to those bodies. Most borrowing authorities also manage liquid assets on behalf of government bodies.
Chain price indexes
Annually-reweighted chain Laspeyres price indexes referenced to the same year as the chain volume measures. They can be thought of as a series of indexes measuring price change from a base year to quarters in the following year using current price values in the base year as weights, linked together to form a continuous time series. In other words, chain price indexes are constructed in a similar fashion to the chain volume indexes. Quarterly chain price indexes are benchmarked to annual chain price indexes in the same way as their chain volume counterparts. Unlike implicit price deflators, chain price indexes measure only the impact of price change.
Chain volume measures
Annually-reweighted chain Laspeyres volume indexes referenced to the current price values in a chosen reference year (i.e. the year when the quarterly chain volume measures sum to the current price annual values). Chain Laspeyres volume measures are compiled by linking together (compounding) movements in volumes, calculated using the average prices of the previous financial year, and applying the compounded movements to the current price estimates of the reference year. Quarterly chain volume estimates are benchmarked to annual chain volume estimates, so that the quarterly estimates for a financial year sum to the corresponding annual estimate.
Change in financial position
The balance in the financial account is net change in financial position. This is equal to net acquisition of financial assets less net incurrence of liabilities.
Changes in inventories
The difference in value between inventories held at the beginning and end of the reference period by enterprises and general government. For national accounting purposes, physical changes in inventories should be valued at the prices current at the times when the changes occur. For these purposes, changes in inventories are obtained after adjusting the increase in book value of inventories by the inventory valuation adjustment. The need for the latter arises because the changes in the value of inventories (as calculated from existing business accounting records) do not meet national accounting requirements. The inventory valuation adjustment is the difference between the change in (book) value of inventories and the physical changes valued at current prices. The physical changes at average current quarter prices are calculated by applying average quarterly price indexes to the changes in various categories of inventories in volume terms.
Coefficient table
A coefficient (Input-Output) table records the amount of each product (or the amount of output by each industry) used as input per unit of output of the various products/industries.
Collective consumption
Services provided simultaneously to all members of the community or to all members of a particular section of the community, such as all households living in a particular region. Collective services are automatically acquired and consumed by all members of the community, or group of households in question, without any action on their part. Typical examples are public administration and the provision of security, either at a national or local level. Collective services are the ‘public goods’ of economic theory. By their nature, collective services cannot be sold to individuals on the market, and they are financed by government units out of taxation or other incomes. The defining characteristics of collective services are as follows: collective services can be delivered simultaneously to every member of the community or of particular sections of the community, such as those in a particular region; the use of such services is usually passive and does not require the explicit agreement or active participation of all the individuals concerned; and the provision of a collective service to one individual does not reduce the amount available to others in the same community or section of the community. There is no rivalry in acquisition. See also Individual consumption.
Common fund
An investment fund established by a trustee company to accept monies it holds in trust and other monies invested by the public. Cash common funds are similar to cash management trusts except that they do not issue units nor do they necessarily issue prospectuses.
Compensation of employees
Total remuneration, in cash or in kind, payable by an enterprise to an employee in return for work done by the employee during the accounting period. It is further classified into two sub-components: wages and salaries; and employers’ social contributions. Compensation of employees is not payable in respect of unpaid work undertaken voluntarily, including the work done by members of a household within an unincorporated enterprise owned by the same household. Compensation of employees excludes any taxes payable by the employer on the wage and salary bill (e.g. payroll tax). See also Employers’ social contributions and Wages and salaries.
Competing imports
Competing imports are those products which are both produced domestically and imported, so that substitution between the two sources of supply is possible.
Computer software
Computer programs, program descriptions and supporting materials for both systems and applications software. Included are purchased software and, if the expenditure is large, software developed on own-account. It also includes the purchase or development of large databases that the enterprise expects to use in production over a period of more than one year. The AI-O does not separately identify databases from computer software as recommended by the 2008 SNA.
Consumer durable
A good that may be used for purposes of consumption repeatedly or continuously over a period of a year or more.
Consumption of fixed capital
The value of the reproducible fixed assets used up during a period of account as a result of normal wear and tear, foreseen obsolescence and the normal rate of accidental damage. Unforeseen obsolescence, major catastrophes and the depletion of natural resources are not taken into account.
Contracts, leases and licences
Contracts, leases and licences are non-produced assets that are constructs of society. They are evidenced by legal or accounting actions, such as the granting of a patent or the conveyance of some economic benefit to a third party. Some entitle their owners to engage in certain specific activities and to exclude other institutional units from doing so except with the permission of the owner. These assets consist of patented entities, leases and other transferable contracts.
Contributions to growth in GDP
The contributions to growth for a given aggregate 'A' is calculated as:
\(100*(({PY^A}_t-{PP^A}_t)/{PP^A}_t)\times({PP^A}_t/{PP^{GDP}}_t)\)
Where:
- \({PY^A}_t\) is the quantity of an aggregate in the current period, in previous period prices
- \({PP^A}_t\) is the quantity of an aggregate in the previous period, in previous period prices
- \({PP^{GDP}}_t\) is the current price value of GDP in the previous period
Additivity for contributions to growth exists for the years where the statistical discrepancy is zero, effectively 1995-96 onwards, by using GDP expressed in the prices of the previous year. For the period 1986-87 to 1994-95, where the statistical discrepancy is not zero, the result is close to additive but not exact because the statistical discrepancy cannot be expressed in prices of the previous year. Additionally, quarterly contribution to growth estimates will not add to GDP growth due to the existence of a statistical discrepancy between the three quarterly measures of GDP.
Conventional credit markets
Credit markets which are reasonably open to all potential borrowers. Excluded, for example, are loans arranged between related entities. This concept is important for an understanding of the Credit Market Outstandings and Demand for Credit tables in Australian National Accounts: Finance and Wealth.
Conventional financial instruments
These instruments consist of:
- Currency
- Deposits
- Bills of exchange
- One name paper
- Bonds
- Derivatives
- Loans
- Equity
Corporations
Entities that are capable of generating a profit or other financial gain for their owners; are recognised in law as separate legal entities from their owners who enjoy limited liability; and are set up for purposes of engaging in market production. They also include co-operatives, limited liability partnerships, notional resident units and quasi-corporations.
Counterparting
The process of taking the asset record of a sector and using it as the liability record of the counterparty sector, or vice versa. For a market transaction to occur there must be a willing buyer and a willing seller. To the buyer, the seller is the counterparty, and vice versa.
Coverage ratio (for a product)
A product may be produced by more than one industry. The coverage ratio shows what proportion of the total domestic supply of a product is produced by the industry to which the product is primary.
Cultivated biological resources
Includes livestock raised for breeding, dairy, wool, etc., and vineyards, orchards and other plantations of trees yielding repeat products that are under the direct control, responsibility and management of institutional units. Immature cultivated assets are excluded unless produced for own use.
Currency
Consists of notes and coins that are of fixed nominal values and are issued or authorised by a central bank or government. For Australia the currency asset refers solely to domestic currency. There is little foreign currency in general circulation, and significant holdings are classified as foreign deposits.
Current prices
Estimates are valued at the prices of the period to which the observation relates. For example, estimates for this financial year are valued using this financial year’s prices. This contrasts to chain volume measures where the prices used in valuation refer to the prices of the previous year.
Current taxes on income, wealth, etc
Includes taxes on the incomes of households or the profits of corporations and taxes on wealth that are payable regularly every tax assessment period (as distinct from capital taxes that are levied infrequently).
Current transfers
Transfers, other than those classified as capital transfers, in which one institutional unit provides a good, service or cash to another unit without receiving from the latter anything of economic value in return.
Current transfers from the Commonwealth government to State and local government
Includes financial assistance grants to the States and Territories; grants to fund State and Territory health care services, education services, social security and welfare services, and similar specific grants for current purposes; special revenue assistance grants provided to certain States and Territories; financial assistance grants for local governments which are provided through the State and Northern Territory governments; and grants for current purposes made directly to local government bodies.
Current transfers to non-profit institutions
Transfers for non-capital purposes to private non-profit institutions serving households such as hospitals, independent schools, and religious and charitable organisations.
Databases
Consist of files of data organised in such a way as to permit resource-effective access and use of the data. The ASNA does not separately identify databases from computer software as recommended by the 2008 SNA.
Debt security
A financial instrument that evidences the issuer’s promise to repay the principal at face value on maturity. It may be issued to investors at a discount, and/or the issuer may promise to pay interest (usually at six monthly intervals) to the holders. Unlike shares, debt securities do not confer on the holders ownership rights in the issuing entity.
Derivatives
Financial instruments that are linked to a specific financial instrument or indicator or commodity, and which provide for market financial risk in a form that can be traded or otherwise offset in the market. Derivatives are used for a number of purposes including risk management, hedging, and speculation. Unlike debt instruments, no principal amount is advanced to be repaid, and no investment income accrues. The value of the derivative derives from the price of the underlying items.
Direct allocation of imports
The direct allocation method of recording imports involves allocating imports to the industries which use them and including them with the primary inputs to these industries in deriving the total production. With this method the intermediate consumption and final demand matrices contain only the use of domestic production, and so the intermediate use matrix does not reflect the full input structure of industries.
Direct requirement coefficients
Refer to the proportion of inputs directly required from industries by industries to produce $100 of output. In calculating the direct requirements coefficients, the flow on effects on industries are not considered.
Direct tourism gross domestic product
Direct tourism gross value added plus net taxes on products. Direct tourism GDP will generally have a higher value than direct tourism value added.
Direct tourism gross value added
The value of direct tourism output at basic prices less the value of inputs used in producing tourism products. This measure is comparable with the value added of other industries and can also be used for comparisons across countries.
Direct tourism output
The value of goods and services at basic prices which are consumed by visitors and produced in Australia by industries in a direct relationship with visitors.
Discount securities
Debt securities issued to investors for less than the value appearing on the face of the security. Holders are not paid interest, but rather receive capital gains (the difference between the purchase price and the face value of the security).
Dividends
Form of investment income in which shareholders become entitled as a result of placing funds at the disposal of corporations.
Dividends from public (financial and non-financial) corporations paid to general government
Represent property income earned by general government on its equity investment in these corporations. They are payable by public corporations from operating surpluses generated through the production process. Included are amounts in the nature of dividends such as transfers of profit, income tax equivalents and wholesale sales tax equivalents.
Domestic tourism consumption
Tourism consumption by residents on tourism related products within Australia. It is the sum of household, business and government tourism consumption.
Dwellings
Buildings, or designated parts of buildings, that are used entirely or primarily as residences, including any associated structures, such as garages, and all permanent fixtures customarily installed in residences. Houseboats, barges, mobile homes and caravans used as principal residences of households are also included, as are public monuments identified primarily as residences. The costs of site clearance and preparation are included in the value of dwellings.
Economic flows
Economic flows reflect the creation, transformation, exchange, transfer or extinction of economic value. They involve changes in the volume, composition or value of an institutional unit's assets and liabilities.
Economically significant prices
Prices which have a significant influence on both the amounts producers are willing to supply and the amounts purchasers wish to buy.
Employees’ social contributions
Social contributions payable by employees to private funded social insurance schemes.
Employers’ contributions to superannuation
Consists of social contributions payable by employers, for the benefit of their employees, to superannuation funds or other institutional units responsible for the administration and management of social insurance schemes. Although they are paid by the employer directly to the superannuation fund, the payments are made for the benefit of the employees. Accordingly, employees are treated as being remunerated by an amount equal to the value of the social contributions payable.
Employers’ imputed social contributions
Some employers provide social benefits directly to their employees, former employees or their dependants from their own resources without involving an insurance enterprise or autonomous pension fund, and without creating a special fund or segregated reserve for the purpose. In the Australian context, employers’ imputed social contributions primarily relate to unfunded superannuation schemes operated by the Commonwealth Government and State Governments. The remuneration imputed for such employees is equal in value to the amount of social contributions that would be needed to secure the de facto entitlements to the social benefits they accumulate.
Employers’ social contributions
Payments by employers which are intended to secure for their employees the entitlement to social benefits should certain events occur, or certain circumstances exist, that may adversely affect their employees' income or welfare – namely work-related accidents and retirement.
Enterprise
An institutional unit comprising a single legal entity, or a grouping of legal entities, within an enterprise group, classifiable to the same institutional subsector, as per the Standard Institutional Sector Classification of Australia (SISCA).
Entertainment, literary or artistic originals
Original films, sound recordings, manuscripts, tapes, models, etc., on which drama performances, radio and television programming, musical performances, sporting events, literary and artistic output, etc. are recorded or embodied. Included are works produced on own-account. In some cases, there may be multiple originals (e.g. films).
Entrepreneurial income
For a corporation, quasi-corporation, or institutional unit owning an unincorporated enterprise engaged in market production is defined as its operating surplus (or mixed income), plus property income receivable on the assets owned by the enterprise, less interest payable on the liabilities of the enterprise and rents payable on non-produced non-financial assets (such as land) rented by the enterprise.
Equity
A residual claim on the assets of an institutional unit. Equity represents the owner’s funds in the institutional unit.
Exports of goods and services
The value of goods exported and amounts receivable from non-residents for the provision of services by residents.
External account
A record of all current transactions between Australian residents and non-residents.
Face value
The value that appears on a debt security that the issuing entity promises to pay to a holder when the security matures. Also known as the nominal or par value.
Farm GDP
A part of gross domestic product which attributable to agriculture and services to agriculture.
Farm inventories
Includes:
- inventories held on farms (including wool, wheat, barley, oats, maize, sorghum, hay, fertiliser, apples and pears, and livestock);
- wool held in store awaiting sale; and
- produce (e.g. vegetables) held in cold store where ownership remains with the primary producer.
Final consumption expenditure – general government
Net expenditure on goods and services by public authorities, other than those classified as public corporations, which does not result in the creation of fixed assets or inventories or in the acquisition of land and existing buildings or second-hand assets. It comprises expenditure on compensation of employees (other than those charged to capital works, etc.), goods and services (other than fixed assets and inventories) and consumption of fixed capital. Expenditure on repair and maintenance of roads is included. Fees, etc., charged by general government bodies for goods sold and services rendered are offset against purchases. Net expenditure overseas by general government bodies and purchases from public corporations are included. Expenditure on defence assets is classified as gross fixed capital formation.
Final consumption expenditure – households
Expenditure on goods and services by resident households for final consumption. Expenditure can be imputed and includes those sold at prices that are not economically significant. This excludes household expenditure on fixed assets, inventories, land or second-hand assets.
Financial account
Records the net acquisition of financial assets and net incurrence of liabilities for all institutional sectors by type of financial asset.
Financial assets
Are mostly financial claims. Financial claims entitle the owner to receive a payment, or a series of payments, from an institutional unit to which the owner has provided funds. Shares are treated as financial assets even though the financial claim their holders have on the corporation is not a fixed or predetermined monetary amount.
Financial corporations
Mainly engaged in financial market transactions, which involve incurring liabilities and acquiring financial assets, i.e. borrowing and lending money, providing superannuation, life, health or other insurance, financial leasing or investing in financial assets. Also included are corporations providing financial auxiliary services.
Financial intermediation services indirectly measured (FISIM)
Banks and some other financial intermediaries are able to provide services for which they do not charge explicitly, by paying or charging different rates of interest to borrowers and lenders (and to different categories of borrowers and lenders). For example, they may pay lower rates of interest than would otherwise be the case to those who lend them money and charge higher rates of interest to those who borrow from them. The resulting net receipts of interest are used to defray their expenses and provide an operating surplus. This scheme of interest rates avoids the need to charge their customers individually for services provided and leads to the pattern of interest rates observed in practice. However, in this situation, the national accounts must use an indirect measure, namely FISIM, of the value of the services for which the intermediaries do not charge explicitly.
Whenever the production of output is recorded in the national accounts, the use of that output must be explicitly accounted for elsewhere in the accounts. Hence, FISIM must be recorded as being disposed of in one or more of the following ways: as intermediate consumption by enterprises; as final consumption by households or general government; or as exports to non-residents.
Fixed assets
Produced assets that are used repeatedly, or continuously, in processes of production for more than one year. Fixed assets consist of dwellings, non-dwelling construction, machinery and equipment, weapons systems, cultivated biological resources, ownership transfer costs and intellectual property products.
Forward contract
An arrangement in which two parties agree on an interest rate to be paid, at a specified settlement date, on a notional amount of principal that is never exchanged, in order to protect themselves against interest rate changes. The only payment that takes place is related to the difference between the agreed forward rate and the prevailing market rate at the time of settlement.
Friendly societies
These are mutual organisations whose members originally came from specific crafts or religions. They aim to provide their members with a wide range of cradle-to-grave services. Examples of these are: life, health, disability, funeral, and general insurances; investment services; financial services similar to those provided by credit unions; and retirement and travel services.
Futures contract
An agreement to buy/sell a standard quantity of a commodity - such as gold, $US or bank bills of exchange - on a specific future date at an agreed price determined at the time the contract is traded on the futures exchange.
Goods and services account
Shows how all output from within the production boundary, plus imports, is accounted for in one of the other two basic activities of the ASNA, consumption (i.e. intermediate or final) of goods and services or accumulation (capital formation) of goods and services, plus exports.
Goods and services tax (GST)
A 10 per cent tax on the price of most goods and services in Australia, including those that are imported. It does not apply to sales of goods or services that are either exempt (GST-free) or input-taxed.
Government actual final consumption
Equal to government final consumption expenditures on collective services such as defence.
Government units
Unique types of legal entities established by political processes and having legislative, judicial or executive authority over other institutional units.
Gross disposable income – households
Gross household income less income tax payable, other current taxes on income, wealth etc., consumer debt interest, interest payable by unincorporated enterprises and dwellings owned by persons, net non-life insurance premiums and other current transfers payable by households.
Gross domestic product
Is the total market value of goods and services produced in Australia within a given period after deducting the cost of goods and services used up in the process of production but before deducting allowances for the consumption of fixed capital. Gross domestic product, as here defined, is 'at market prices'. It is equivalent to gross national expenditure plus exports of goods and services less imports of goods and services.
Gross domestic product per capita
The ratio of the chain volume estimate of GDP to an estimate of the resident Australian population. Population estimates use data published in the quarterly publication National, state and territory population and ABS projections.
Gross domestic product per hour worked
The ratio of the chain volume estimate of GDP to an estimate of hours worked. Hours worked estimates are derived as the product of employment and average hours worked.
Movements in chain volume estimates of GDP per hour worked are commonly interpreted as changes in labour productivity. However, it should be noted that these measures reflect not only the contribution of labour to changes in production per hour worked, but also the contribution of capital and other factors (such as managerial efficiency, economies of scale, etc.).
Gross farm product
Gross farm product is that part of gross domestic product which derives from production in agriculture and services to agriculture.
Gross fixed capital formation – general government
Expenditure on new fixed assets plus net expenditure on second-hand fixed assets, whether for additions or replacements. Expenditure on new roadworks (or on upgrading existing roads) is included, but expenditure on road repair and maintenance is classified as government final consumption expenditure.
Gross fixed capital formation – private corporations
Expenditure on fixed assets broken down into dwellings, non-dwelling construction, machinery and equipment, cultivated biological resources, intellectual property products and ownership transfer costs. The machinery and equipment category includes plant, machinery, equipment, vehicles, etc. Expenditure on repair and maintenance of fixed assets is excluded, being chargeable to the production account. Additions to fixed assets are regarded as capital formation. Also included is compensation of employees paid by private enterprise in connection with own-account capital formation. Expenditure on dwellings, non-dwelling construction, and machinery and equipment is measured as expenditure on new and second-hand assets, less sales of existing assets. Ownership transfer costs comprise stamp duty, real estate agents' fees and sales commissions, conveyancing fees and miscellaneous government charges.
Gross fixed capital formation – public corporations
Expenditure on new fixed assets plus net expenditure on second-hand fixed assets and including both additions and replacements. Also included is compensation of employees paid by public corporations in connection with capital works undertaken on own account.
Gross income – households
The total income, whether in cash or kind, receivable by persons normally resident in Australia. It includes both income in return for productive activity (such as compensation of employees, the gross mixed income of unincorporated enterprises, gross operating surplus on dwellings owned by persons, and property income receivable) and transfers receivable (such as social assistance benefits and non-life insurance claims).
Gross mixed income of unincorporated enterprises (GMI)
The surplus or deficit accruing from production by unincorporated enterprises. It includes elements of both compensation of employees (returns on labour inputs) and operating surplus (returns on capital inputs).
Gross national disposable income (GNDI)
Is equivalent to gross national income plus all secondary income in cash or in kind receivable by resident institutional units from the rest of the world, less all secondary income in cash or in kind payable by resident institutional units to the rest of the world.
Gross national expenditure (GNE)
The total expenditure within a given period by Australian residents on final goods and services (i.e. excluding goods and services used up during the period in the process of production). It is equivalent to gross domestic product plus imports of goods and services less exports of goods and services.
Gross national income (GNI)
The aggregate value of gross primary incomes for all institutional sectors, including net primary income receivable from non-residents.
Gross non-farm product
Production in all industries other than agriculture.
Gross operating surplus (GOS)
The operating surplus accruing to all enterprises, except unincorporated enterprises, from their operations in Australia. It is the excess of gross output over the sum of intermediate consumption, compensation of employees, and taxes less subsidies on production and imports. It is calculated before deduction of consumption of fixed capital, dividends, interest, royalties and land rent, and direct taxes payable, but after deducting the inventory valuation adjustment. Gross operating surplus is also calculated for general government and it equals general government's consumption of fixed capital.
Gross state product (GSP)
Defined equivalently to Gross Domestic Product (GDP) but refers to production within a state or territory rather than to the nation as a whole. See Gross Domestic Product (GDP).
Gross value added
The value of output at basic prices minus the value of intermediate consumption at purchasers' prices. The term is used to describe gross product by industry and by sector. Basic prices valuation of output removes the distortion caused by variations in the incidence of commodity taxes and subsidies across the output of individual industries.
Hours worked
The hours worked by all labour engaged in the production of goods and services, including hours worked by civilian wage and salary earners, employers, self-employed persons, persons working one hour or more without pay in a family business or on a farm, and members of the Australian defence forces.
Household
A group of persons who share the same living accommodation, who pool some, or all, of their income and wealth and who consume certain types of goods and services collectively, mainly housing and food.
Household actual final consumption
Household actual final consumption includes: the value of the households expenditures on consumption goods and services including expenditures on non-market goods or services sold at prices that are not economically significant; government final consumption expenditures on education, health, social security and welfare, sport and recreation and culture, which are considered to be individual services; and services provided by non-profit institutions serving households as they are treated as individual services.
Household claims on technical reserves of life insurance corporations and pension funds
This represents households’ net equity in, or claims on, the reserves of life insurance corporations and pension funds. In the case of life insurance corporations, it equates in large measure with the net policy liabilities of life offices to households. In the case of pension funds, it represents the funds’ obligations to members including any surpluses and reserves. A claim by householders on insurance technical reserve of non-resident pension funds is also included.
Household production for own final use
Those productive activities that result in goods or services consumed or capitalised by the households that produce them.
Household saving ratio
The ratio of household net saving to household net disposable income. Household net saving is calculated as household net disposable income less household final consumption expenditure. Household net disposable income is calculated as household gross disposable income less household consumption of fixed capital.
Illegal production
Illegal production is:
- the production of goods or services whose sale, distribution or possession is forbidden by law; and
- production activities that are usually legal but become illegal when carried out by unauthorized producers; for example, unlicensed medical practitioners.
Implicit price deflator (IPD)
Obtained by dividing a current price value by its real counterpart (the chain volume measure). When calculated from the major national accounting aggregates, such as gross domestic product, implicit price deflators relate to a broader range of goods and services in the economy than that represented by any of the individual price indexes that are published by the ABS. Movements in an implicit price deflator reflect both changes in price and changes in the composition of the aggregate for which the deflator is calculated.
Imports of goods and services
The value of goods imported and amounts payable to non-residents for the provision of services to residents.
Income account
Shows how gross disposable income is used for final consumption expenditure and the consumption of fixed capital (depreciation), with the balance being net saving. Income flows are divided into primary income and secondary income. Primary incomes are incomes that accrue to institutional units as a consequence of their involvement in processes of production or ownership of assets that may be needed for purposes of production. Secondary incomes are incomes that are redistributed between institutional units by means of payments and receipts of current transfers. Income redistribution also includes social transfers in kind.
Income tax
Consists of taxes on the income of households, corporations and non-residents, and taxes on wealth which are levied regularly (wealth taxes which are levied irregularly are classified as capital taxes and are recorded in the sectoral capital accounts).
Indirect allocation of imports
The indirect allocation method of recording imports includes those imports in the intermediate use of industries and in the final use categories without distinguishing the imports from the products with which they compete. This allows the intermediate use matrix to fully reflect the input structures of industries. With this method the imports are also listed under the industries’ use of primary inputs, but after deriving total production.
Indirect requirement
The chain of calculations of output requirements can be continued beyond the direct requirements of an industry. For example, in order to produce output from the chemicals industry, inputs are required directly from the mining industry. To produce this indirect requirement of the mining industry, the chemical industry needs, in turn, additional output from the mining industry, and so on in a convergent infinite series. The example has been confined to two industries directly dependent on each other, but indirect requirements can arise even in the absence of direct dependence. For example, the mining industry may not directly require any inputs from agriculture, but it requires inputs from chemicals which cannot be satisfied without input from agriculture. Therefore, there is an indirect requirement by mining for agricultural input.
Individual consumption
Good or service that is acquired by a household and used to satisfy the needs and wants of members of that household. Individual goods and services can always be bought and sold on the market, although they may also be provided free, or at prices that are not economically significant, or as transfers in kind. Individual goods and services are essentially ‘private’, as distinct from ‘public’. See also Collective consumption.
Industry
Consists of a group of establishments engaged in the same, or similar kinds, of activity.
Informal sector production
The informal sector is defined as:
- consisting of units engaged in the production of goods or services with the primary objective of generating employment and incomes to the persons concerned; and
- production units have the characteristic features of household enterprises.
Therefore, informal sector production is defined as those productive activities conducted by unincorporated enterprises in the household sector that are unregistered and/or less than a specified size in terms of employment and that have some market production.
Input-Output Industry Group (IOIG)
Detailed industry classification based on the Australian and New Zealand Standard Industrial Classification (ANZSIC). I-O tables are published at the industry level.
Input-Output Product Classification (IOPC)
A detailed level product classification, organised according to the industry to which each product is primary. I-O tables are compiled at this level of product classification.
Input-Output Product Group (IOPG)
Product groupings of IOPCs aggregated to the IOIGs to which they are primary. I-O tables are published at this level of product classification.
Input-output tables
A means of presenting a detailed analysis of the process of production and the use of goods and services (products) and the income generated in the production process. They can be either in the form of: (a) supply-use tables; or (b) symmetric input-output tables.
Inscribed stock
Debt securities whose issuer maintains a register of current holders. Accordingly, settlement of transactions (trades) in these securities is affected by assignment (marked transfer), not delivery.
Institutional sectors
The resident units that make up the total economy are grouped into four mutually exclusive institutional sectors, namely: the non-financial corporations sector; the financial corporations sector; the general government sector; and the household sector, which includes non-profit institutions serving households.
Institutional units
An economic entity that is capable, in its own right, of owning assets, incurring liabilities, engaging in economic activities and engaging in transactions with other entities.
Insurance service charge
Insurance service charge is the imputed charge for the service of arranging the financial protection or security which insurance is intended to provide. This is not separately charged by insurance enterprises.
Insurance technical reserves
Comprises financial assets that are reserves against outstanding risks, reserves for with-profit insurance, prepayments of premiums and reserves against outstanding claims. Insurance technical reserves may be liabilities not only of life or non-life insurance enterprises (whether mutual or incorporated) but also of autonomous pension funds, which are included in the insurance enterprise subsector, and certain non-autonomous pension funds that are included in the institutional sector that manages the funds. Insurance technical reserves are subdivided between net equity of households on life insurance reserves and on pension funds, and prepayments of premiums and reserves against outstanding claims.
Intellectual property products
Result from research and development, investigation or innovations leading to knowledge that the developers can market or use for their own benefit. Includes computer software, research and development, entertainment, literary or artistic originals, and mineral exploration intended to be used for more than a year.
Interest
Receivable by the owners of financial assets such as deposits, loans, and securities other than shares for putting the financial asset at the disposal of another institutional unit.
Intermediate consumption
Consists of the value of the goods and services used as inputs by a process of production, excluding compensation of employees and the consumption of fixed capital.
Internal tourism consumption
Consists of all tourism consumption of visitors, both resident and non-resident, within Australia. It is the sum of domestic tourism consumption and international tourism consumption.
International tourism consumption
Consists of the tourism consumption in Australia by non-residents on tourism related products. It is also referred to as internal tourism consumption by international visitors.
Intra-industry flows
Refers to the production by units in an industry and use of that production by other units within the same industry. Australian I-O tables include the values of these flows.
Inventories
Consists of stocks of outputs that are held at the end of a period by the units that produced them prior to being further processed, sold, delivered to other units or used in other ways. Also includes stocks of products acquired from other units that are intended to be used for intermediate consumption or for resale without further processing.
Labour productivity
Indexes of real GDP per person employed or per hour worked. The estimates in the ASNA have been derived by dividing the chain volume measure of GDP by hours worked. Labour productivity indexes not only reflect the contribution of labour to changes in product per labour unit but are also influenced by the contribution of capital and other factors affecting production.
Land
Consists of the ground, including the soil covering and any associated surface waters, over which ownership rights are enforced and from which economic benefits can be derived by their owners by holding or using them.
Legal entity
A legal entity is defined as a unit covering all the operations in Australia of an entity which possesses some or all of the rights and obligations of individual persons or corporations, or which behaves as such in respect of those matters of concern for economic statistics.
Legal owner
The legal owner of entities such as goods and services, natural resources, financial assets and liabilities, is the institutional unit entitled in law and sustainable under the law to claim the benefits associated with the entities.
Liability
An obligation which requires one unit (the debtor) to make a payment or a series of payments to the other unit (the creditor) in certain circumstances specified in a contract between them.
Listed shares
Equity securities listed on an exchange.
Livestock
Livestock assets are classified as either fixed assets or inventories. Livestock used in the production of other products (e.g. breeding stock, animals for entertainment, sheep for wool and dairy cattle) are fixed assets. Inventories cover all other livestock types and include animals raised for meat or other one-off products (e.g. leather).
Loans
Borrowings which are not evidenced by the issue of debt securities. These are not usually traded, and their value does not decline even in a period of rising interest rates.
Long-term debt securities
Debt securities with an original term to maturity of more than one year. They include Treasury bonds, semi-government securities, corporate securities, asset backed bonds and convertible notes prior to conversion. Long-term debt securities also include subordinated debt.
Machinery and equipment
Includes transport equipment and other machinery and equipment, other than that acquired by households for final consumption.
Margins
If the transactions are valued at basic prices, the margins are recorded as intermediate consumption (e.g. transport, wholesale trade) of the intermediate users or final buyers. If transactions are valued at purchasers’ prices the value of margins is included, along with taxes less subsidies on products with the purchasers’ price of the good to which the margin relates.
Market output
Output that is sold at prices that are economically significant or otherwise disposed of on the market, or intended for sale or disposal on the market.
Market sector
Defined to include all industries except for Public administration and safety (O); Education and training (P); Health care and social assistance (Q) and Ownership of dwellings.
Mineral and energy resources
Consists of known deposits of coal, oil, gas or other fuels and metallic ores, and non-metallic minerals etc., that are located below or on the earth's surface (including deposits under the sea) that are economically exploitable given current technology and relative prices.
Mineral and petroleum exploration
The value of expenditures on exploration for petroleum and natural gas and for non-petroleum mineral deposits. These expenditures include pre-licence costs, licence and acquisition costs, appraisal costs and the costs of actual test drilling and boring. Also included are the costs of aerial and other surveys, transportation costs etc., incurred to make it possible to carry out the tests.
Monetary gold
Treated as a financial asset. Monetary gold is gold owned by monetary authorities (or others subject to effective control by monetary authorities) that is held as a financial asset and as a component of official reserves. Other gold held by any entity (including non-reserve gold held by monetary authorities and all gold held by financial institutions other than the central bank) is treated as a commodity.
Monetary transaction
Occurs when the institutional units involved make or receive payments, incur liabilities, or receive assets denominated in units of currency.
Money market funds (MMFs)
Invest in transferable debt instruments with a residual maturity of not more than one year. These include bank deposits and instruments that pursue a rate of return that approaches the interest rates of money market instruments.
Multifactor productivity
Indexes of real GDP per combined unit of labour and capital. They have been derived by dividing chain volume estimates of market sector GDP by a combined measure of hours worked and capital services.
National saving
Calculated as the sum of the net saving of each of the resident sectors – households and unincorporated enterprises, non-financial corporations, financial corporations and general government.
Natural resources
Non-produced non-financial assets consisting of land, mineral and energy resources, native standing timber and radio spectra.
Net domestic product
Calculated as GDP less consumption of fixed capital.
Net equity in reserves
Represents policy-holders’ claims on life insurance businesses and pension funds. These technical reserves are calculated by deducting all repayable liabilities from the value of total assets.
Net errors and omissions
The difference between net lending or borrowing in the capital account and the net change in financial position in the financial account.
Net lending(+)/Net borrowing (–)
The residual item in the capital account which shows each sector's net acquisition of financial assets. It is calculated as Gross saving and capital transfers less Total capital accumulation. In concept it is the same as the item Net change in financial position in the financial account.
Net lending to non-residents
The excess of net acquisition of financial assets in the rest of the world by resident institutional units over their net incurrence of liabilities in the rest of the world.
Net non-life insurance premiums
Defined as non-life insurance premiums plus premium supplements less the non-life insurance service charge.
Net saving
Balancing item of the income account, this is equal to total income receivable less total income payable, final consumption expenditure and consumption of fixed capital. Represents the excess of income over consumption.
Net saving – corporations
Equal to the gross income receivable by corporations less income payable and consumption of fixed capital. Income receivable by corporations includes gross operating surplus, property income and current transfers receivable. Income payable includes property income and current transfers (including income taxes) payable.
Net saving – general government
The surplus of general government gross income over current use of income. Current use of income includes final consumption expenditure and current transfers (interest and other property income payable, social assistance benefits payments to residents, transfers to non-profit institutions, subsidies, etc.).
Net saving – households
Equal to gross household disposable income less household final consumption expenditure and consumption of fixed capital. Household saving is estimated as the balancing item in the household income account. It includes saving through life insurance and pension funds (including net earnings on these funds) and increased equity in unfunded superannuation schemes.
Net secondary income from non-residents
All transfers to or from non-residents to resident government or private institutional units which are not payments for goods and services, compensation of employees or property income.
Net worth
In the national and sectoral balance sheets, net worth represents the difference between the stock of assets (both financial and non-financial) and the stock of liabilities (including shares and other equity). Because it is derived residually, it can be negative.
Neutral holding gains/losses
The value of the holding gain that would accrue if the price of the asset changed in the same proportion as the general price level.
Nominal holdings gains/ losses
On a given quantity of asset, it is the value of the benefit accruing to the owner of that asset as a result of a change in its price or, more generally, its monetary value, over time.
Non-dwelling construction
Consists of non-residential buildings and other structures. ‘Non-residential buildings’ are buildings other than dwellings, including fixtures, facilities and equipment that are integral parts of the structures and costs of site clearance and preparation.
‘Other structures’ are structures other than buildings, including streets, sewers and site clearance and preparation other than for residential or non-residential buildings. Also included are shafts, tunnels and other structures associated with the extraction of mineral and energy resources. Major improvements to land, such as dams, are also included.
Non-farm GDP
Non-farm GDP arises from production in all industries other than agriculture.
Non-farm inventories
All inventories except those classified to farm and public authorities’ inventories.
Non-financial assets
Are assets for which no corresponding liabilities are recorded.
Non-financial corporations
Corporations whose principal activity is the production of market goods or non-financial services.
Non-life insurance claims
Claims payable in settlement of damages that result from an event covered by a non-life insurance policy in the current accounting period.
Non-market output
Goods and services produced by any institutional unit that are supplied free or at prices that are not economically significant.
Non-monetary transactions
Transactions that do not involve the exchange of cash, or assets or liabilities that are not denominated in units of currency.
Non-money market financial investment funds (NMMF)
Investments in financial assets other than short-term assets.
Non-observed economy (NOE)
Economic activities that are often missing from the data sources used to compile the national accounts (see underground production).
Non-produced assets
Non-financial assets that come into existence other than through processes of production. Non-produced assets that occur in nature are where ownership has been enforced or transferred. Environmental assets over which ownership rights have not, or cannot, be enforced, such as international waters or air space, are excluded. They consist of Natural resources (such as land, mineral and energy resources, native standing timber and radio spectra); Contracts, leases and licences; and Purchased goodwill and marketing assets. Purchased goodwill and marketing assets are not included in the ASNA.
Non-produced non-financial natural resource asset
Non-produced assets that occur in nature over which ownership rights have been enforced, such as land, mineral and energy resources, native standing timber and radio spectra.
Non-profit institutions
Legal or social entities created for the purpose of producing goods or services whose status does not permit them to be a source of income, profit or other financial gain for the units that establish, control or finance them.
Novation
The transfer of an entity’s rights and obligations under a contract to a new counterparty.
One name paper
Includes promissory notes, treasury notes and certificate of deposits issued by banks.
Options
Contracts that give the purchaser the right, but not the obligation, to buy (a ‘call’ option) or to sell (a ‘put’ option) a particular financial instrument or commodity at a predetermined price (the ‘strike’ price) within a given time span (American option) or on a given date (European option).
Orchards
Orchards are any plants that can produce a marketable quantity of fruit for more than one year in which the grower intends to obtain a future benefit from the sale of the fruits borne. It can include trees, vines, bushes and shrubs. The costs to be capitalised as part of the value of fruit and nut bearing plants are the establishment costs involved in planting the new nursery plant and then maintenance costs associated with making the plant grow.
Other accounts receivable/payable
This term is used in two ways. Firstly, it is the financial asset consisting of two subordinate classifications: ‘trade credit and advances’, and ‘other accounts receivable/payable’. Alternatively, the item can refer to the actual classification ‘other accounts receivable/payable’.
Accounts receivable and payable include items other than those in the previous paragraph (e.g. in respect of taxes, dividends, purchases and sales of securities, rent, wages and salaries and social contributions). Interest accruing that is not capitalised in the underlying asset may be included.
Other changes in real net wealth
Calculated as the sum of real holding gains, net capital transfers and other changes in the volume of assets.
Other changes in real net wealth – other differences
These arise due to a different treatment of stock and flow concepts between the balance sheet and capital account estimates. Net capital formation in the balance sheet includes plantation standing timber inventories. These are included in the change in net worth in the balance sheet and excluded from the capital account.
Other changes in the volume of assets
Changes in the value of assets and liabilities over the accounting period arising from events other than transactions and revaluations.
Other current taxes on income, wealth etc.
Consists mainly of payments by households to obtain licences to own or use vehicles, boats or aircraft, and for licences to hunt, shoot or fish.
Other current transfers
Consists of all current transfers between resident institutional units or between resident and non-resident units other than current taxes on income, wealth and social benefits in kind.
Other deposits
Comprises all claims, other than transferable deposits, that are represented by evidence of deposits. Typical forms of deposits that should be included are savings deposits (which are always non-transferable), fixed-term deposits and non-negotiable certificates of deposit.
Other flows
Changes in the value of assets and liabilities that do not take place through transactions. They are either other changes in the volume of assets or liabilities, or holding gains and losses.
Other subsidies on production
Consists of all subsidies, except subsidies on products, which resident enterprises may receive as a consequence of engaging in production. Other subsidies on production include: subsidies related to payroll or workforce numbers, including subsidies payable on the total wage or salary bill, on numbers employed, or on the employment of particular types of persons, e.g. persons with disabilities or persons who have been unemployed for a long period.
Other taxes on production
Consists of all taxes that enterprises incur as a result of engaging in production, except taxes on products. Other taxes on production include: taxes related to the payroll or workforce numbers excluding compulsory social security contributions paid by employers and any taxes paid by the employees themselves out of their wages or salaries; recurrent taxes on land, buildings or other structures; some business and professional licences where no service is provided by the government in return; taxes on the use of fixed assets or other activities; stamp duties; taxes on pollution; and taxes on international transactions.
Outbound tourism consumption
Tourism consumption by resident visitors outside of Australia while on an international trip. It is also referred to as tourism imports.
Output
Goods and services that are produced within an establishment that becomes available for use outside that establishment, plus any goods and services produced for own final use.
Output for own final use
Includes output for own final consumption and output for own gross fixed capital formation.
Ownership transfer costs
Fees paid to lawyers, fees and commissions paid to real estate agents and auctioneers, stamp duty, Title Office charges and local government charges. Ownership transfer costs in the ASNA relate to dwellings and non-dwelling construction.
Payments in kind
Occurs when an employee accepts payment from an employer in the form of goods and services instead of money (or some other financial asset).
Pension fund claims on life insurance corporations reserves
Represents pension funds’ net equity in, or claims on, life insurance corporation reserves.
Perpetual Inventory Method (PIM)
A method of constructing estimates of capital stock and consumption of fixed capital from time series of gross fixed capital formation. It allows an estimate to be made of the stock of fixed assets in existence and in the hands of producers which is generally based on estimating how many of the fixed assets, installed as a result of gross fixed capital formation undertaken in previous years, have survived to the current period.
Placements
Customers’ account balances with entities not regarded as deposit-taking institutions. Examples are account balances of State and local public non-financial corporations with their central borrowing authorities, of public sector pension funds with their State Treasuries, and 11am money placed with corporate treasuries.
Prepayments of premiums and reserves against outstanding claims
Reserves in the form of prepayments of premiums which result from the fact that, in general, insurance premiums are paid in advance. Such reserves are assets of the policyholders.
Reserves against outstanding claims are reserves that insurance enterprises hold in order to cover the amounts they expect to pay out in respect of claims that are not yet settled or claims that may be disputed. Reserves against outstanding claims are considered to be assets of the beneficiaries.
Primary incomes
Consists of incomes that accrue to institutional units as a consequence of their involvement in processes of production or their ownership of assets that may be needed for the purposes of production. They are payable out of the value added created by production. The primary incomes that accrue by lending or renting financial or non-produced non-financial natural resource assets, including land, to other units for use in production are described as ‘property incomes’. Receipts from taxes on production and imports are treated as primary incomes of governments even though not all of them may be recorded as payable out of the value added of enterprises. Primary incomes exclude social contributions and benefits, current taxes on income, wealth, etc. and other current transfers.
Primary input content
The primary input content per $100 of use by an industry, shows the ultimate content (resulting from total requirements) of each primary input in $100 of that industry’s use.
Primary inputs
Primary inputs include compensation of employees, gross operating surplus and gross mixed income, taxes less subsidies on products, other taxes less subsidies on production and imports.
Private business investment
Defined as:
- non-dwelling construction
- plus machinery and equipment
- plus cultivated biological resources
- plus intellectual property products.
Second-hand asset sales by the public sector to private corporations are included in private business investment in the components non-dwelling construction and machinery and equipment. As the public sector also sells second-hand assets to the household sector and to the external sector, not all second-hand asset sales by the public sector will be included in private business investment.
Private final demand
Measures total domestic consumption and investment by the private sector. It is the sum of household final consumption expenditure and private gross fixed capital formation. See also Public final demand.
Private non-farm inventories to total sales ratio
Private non-farm inventories divided by total sales. This ratio is calculated using current price estimates. See also Total sales.
Produced assets
Produced assets are non-financial assets that have come into existence as outputs from production processes. Produced assets consist of fixed assets, inventories and valuables. However, valuables are not included in the ASNA.
Producers’ prices
The amount receivable by the producer from the purchaser for a unit of a good or service.
Production account
Records the expenses incurred in production and the receipts from sales of goods and services.
Productivity growth cycles
A common method of examining changes in productivity over an extended period involves identifying and dividing the data into productivity 'growth cycles'. Year to year changes in measured productivity may reflect changes that are conceptually distinct from the notion of productivity. By analysing averages of productivity statistics between growth cycle peaks, the effects of some of these temporary influences can be minimised, allowing better analysis of the drivers of productivity growth in different periods. Productivity growth cycle peaks are determined by comparing the annual MFP estimates with their corresponding long-term trend estimates. The peak deviations between these two series are the primary indicators of a growth-cycle peaks, although general economic conditions at the time are also considered.
Professional funds manager
An agent which invests monies on behalf of clients in return for fees. The assets managed by a professional fund manager are not on its balance sheet.
Property income
Income receivable by the owner of a financial asset or a non-produced non-financial asset in return for providing funds or putting a non-produced non-financial asset at the disposal of another institutional unit.
Property income flows attributable to insurance policy holders
Includes imputed flows relating to life insurance, superannuation, and non-life insurance operations. These include imputed interest from life insurance and pension funds to households; premium supplements which are an imputed property income flow from non-life insurance corporations to policy-holders; and imputed interest from the general government sector to households, which is recorded on the account of the unfunded superannuation schemes operated by the general government sector.
Public authorities' inventories
Include estimates for general government, public non-financial corporations, and public financial corporations. Recorded inventories include demonetised gold transactions (gold sales and gold loans) by the Reserve Bank of Australia and the construction of military equipment for export.
Public final demand
Measures total domestic consumption and investment by the public sector. It is the sum of government final consumption expenditure and public gross fixed capital formation. See also Private final demand.
Public unit trust
A trust which issues units to the general public within Australia for the purpose of investing the pooled monies. A public unit trust must have registered a prospectus with the Australian Securities and Investments Commission and be governed by a trust deed between its management company and a trustee company. The units may or may not be listed on the Australian Securities Exchange.
Purchased goodwill and marketing assets
The difference between the value paid for an enterprise as a going concern and the sum of its assets less the sum of its liabilities. It is a non-produced non-financial asset. It is not included in the ASNA.
Purchasers’ prices
The amount paid by the purchaser, excluding any deductible tax, in order to take delivery of a unit of a good or service at the time and place required by the purchaser. The purchaser’s price of a good includes any transport charges paid separately by the purchaser to take delivery at the required time and place.
Quality adjusted hours worked
This measure of labour input takes account of changes in the aggregate quality of labour due to changes in educational attainment and the length of experience in the workforce. Labour productivity and multifactor productivity estimates based on quality adjusted hours worked are also calculated.
Quasi-corporations
Quasi-corporations are unincorporated enterprises that function as if they were corporations. Three main kinds of quasi-corporations are recognised by the 2008 SNA, namely: an unincorporated enterprise owned by government units engaged in market production and operated in a similar way to publicly owned corporations; unincorporated enterprises, including unincorporated partnerships, owned by households, which are operated as if they were privately owned corporations; and unincorporated enterprises which belong to institutional units resident abroad such as permanent branches, or offices of production units belonging to foreign enterprises which engage in significant amounts of production over long, or indefinite, periods of time.
Real gross domestic income
Measures the purchasing power of the total incomes generated by domestic production.
It is calculated by:
- taking the volume measure of gross national expenditure (GNE)
- adding exports of goods and services at current prices deflated by the implicit price deflator for imports of goods and services
- deducting the volume measure of imports of goods and services
- adding the current price statistical discrepancy for GDP(E) deflated by the implicit price deflator for GDP.
In the derivation of the aggregate all of the adjustments are made using the chain volume aggregation method used to derive all of the ABS chain volume estimates.
Real gross national income
The real aggregate value of gross primary incomes for all institutional sectors, including net primary income receivable from non-residents. It is calculated by adjusting real gross domestic income for the real impact of primary income flows (property income and labour income) to and from overseas.
Real holding gains
The difference between the nominal holding gain/loss on assets and liabilities, and the neutral holding gain. It is the value of the additional command over real resources accruing to the holder of an asset as a result of a change in its price relative to the prices of goods and services in the economy.
Real net national disposable income
Is calculated by:
- taking real gross domestic income
- deducting real incomes payable to the rest of the world
- adding real incomes receivable from the rest of the world
- deducting the volume measure of consumption of fixed capital.
Real incomes payable and receivable are calculated by dividing the nominal income flows by the implicit price deflator for gross national expenditure. In the derivation of the aggregate, all the adjustments are made using the chain volume aggregation method used to derive all ABS chain volume estimates.
Re-exports
Goods imported into Australia and then exported without having been used or transformed in any way.
Reference period
In connection with price or volume indexes, the reference period means the period to which the indexes relate. It is typically equal to 100 for price indexes and to the corresponding current price values of the reference year for volume indexes, and it does not necessarily coincide with the base period.
Reinvested earnings
Imputed transactions related to that component of income that is not distributed to equity and or unit holders in direct foreign investment enterprises, and resident and non-resident investment funds in the form of dividends.
Rent on natural assets
Income receivable by the owner of a natural resource (the lessor or landlord) for putting the natural resource at the disposal of another institutional unit (a lessee or tenant) for use of the natural resource in production.
Repurchase agreement (Repo)
A repo involves the sale of securities or other assets with a commitment to repurchase equivalent assets at a specified date.
Research and development
Creative work undertaken on a systematic basis in order to increase the stock of knowledge, including knowledge of man, culture and society, and to enable this stock of knowledge to be used to devise new applications. It is included in Intellectual property products as a produced fixed asset.
Residence
The residence of each institutional unit is the economic territory with which it has the strongest connection, in other words, its centre of predominant economic interest.
Rest of the world
Consists of all non-resident institutional units that enter into transactions with resident units, or have other economic links with resident units.
Revaluations
Holding gains or losses arising from changes in the market prices of assets and liabilities during the accounting period.
Secondary income
Consists of receipt and payment of current transfers.
Services from consumer durables
Represents the value of services provided by consumer durables to the household in the accounting period. It arises because consumer durables, unlike other final consumption goods, are not used up in the accounting period in which they are purchased. It is measured in the same way as consumption of fixed capital, i.e. as the reduction in value of the stock of consumer durables during the accounting period resulting from physical deterioration, normal obsolescence, or normal accidental damage. Unforeseen obsolescence is not taken into account.
Short selling
Refers to the practice of selling securities one does not have. To settle the trade, securities need to be purchased or borrowed.
Short-term debt securities
Debt securities with an original maturity of one year or less. They include bills of exchange, promissory notes (also called ‘one name paper’), Treasury notes and bank certificates of deposit.
Social assistance benefits
Current transfers payable to households by government units to meet the same needs as social insurance benefits, but which are not made under a social insurance scheme incorporating social contributions and social insurance benefits. They may be payable in cash or in kind. In Australia, they include the age pension and unemployment benefits.
Social assistance benefits in cash to residents
Includes current transfers to persons from general government in return for which no services are rendered or goods supplied. Principal components include:
- scholarships
- Maternity
- sickness and unemployment benefits
- family allowances
- widows', age, invalid and repatriation pensions
Social benefits
Current transfers received by households intended to provide for needs arising from certain events or circumstances, e.g. sickness, unemployment, retirement, housing, education or family circumstances. There are two kinds of social benefits: social insurance benefits; and social assistance benefits.
Social contributions
Actual or imputed payments to social insurance schemes to make provision for social insurance benefits to be paid. They may be made by employers on behalf of their employees, or by employees, self-employed or non-employed persons on their own behalf.
Social insurance benefits
Transfers provided under organised social insurance schemes. Organised social insurance schemes provide benefits through general social security schemes, privately funded social insurance schemes, or unfunded schemes managed by employers for the benefit of their existing or former employees without involving third parties in the form of insurance enterprises or pension funds.
Social transfers in kind
Individual goods and services provided to individual households by general government units and non-profit institutions either free or at prices that are not economically significant.
Special Drawing Rights (SDRs)
These are financial assets. In Australia, the SDR allocation is recorded by the central government and the SDR asset is recorded by the Reserve Bank of Australia (RBA). The RBA has a deposit liability to the central government. SDRs are international reserve assets created by the International Monetary Fund (IMF) and allocated to its member States to supplement existing reserve assets.
Specialisation ratio (for an industry)
An industry may produce a number of products, some of which may be primary to that industry and some of which may be primary to other industries. The specialisation ratio shows the proportion of an industry’s output that is primary to that industry.
Spectrum
Radio spectrum is an asset that is recognised as being of economic value from the time a licence is issued to use it. Spectrum licences fall under contracts, leases and licences.
Statistical discrepancy I, E and P
For years in which a balanced supply-use table is available to benchmark the national accounts, the same measure of GDP is obtained regardless of whether one sums incomes, expenditures or gross value added for each industry. For other years, however, statistical discrepancies between the measures remain. The differences between those three separate estimates and the single measure of GDP for those years are called statistical discrepancy (I), statistical discrepancy (E) and statistical discrepancy (P), respectively.
Stock lending
The terms securities lending or stock lending are used in securities markets to describe arrangements whereby issuers or asset-holders or both (called stock lenders) provide securities to other market participants (called stock borrowers) in return for a fee.
Subordinated debt
Debt that is not repayable until other specified liabilities have been settled. For example, the subordinated debt of banks (also called second-tier capital) is not repayable until the demands of depositors for repayment have been satisfied.
Subsidies on products
Subsidies payable per unit of a good or service. The subsidy may be a specific amount of money per unit of quantity of a good or service, or it may be calculated ad valorem as a specified percentage of the price per unit. A subsidy may also be calculated as the difference between a specified target price and the market price actually paid by a purchaser. A subsidy on a product usually becomes payable when the product is produced, sold or imported, but it may also become payable in other circumstances, such as when a product is exported, leased, transferred, delivered or used for own consumption or own capital formation.
Supply-use tables
Matrices that record how supplies of different kinds of goods and services originate from domestic industries and imports, and how those supplies are allocated between various intermediate or final uses, including exports.
Swaps
Contractual arrangements between two parties who agree to exchange, according to predetermined rules, streams of payment on the same amount of indebtedness over time. The two most prevalent varieties are interest rate swaps and currency swaps. For example, an interest rate swap involves an exchange of interest payments of different character, such as fixed rates for floating rate, two different floating rates, fixed rate in one currency and floating rate in another etc.
Synthetic instrument
A tailored financial product which combines a primary financial instrument (such as a parcel of bills of exchange) with a derivative instrument (such as a forward rate agreement).
Tax on products
Taxes payable per unit of some good or service. The tax may be a specific amount of money per unit of quantity of a good or service (quantity being measured either in terms of discrete units or continuous physical variables such as volume, weight, strength, distance, time, etc.), or it may be calculated ad valorem as a specified percentage of the price per unit or value of the goods or services transacted. A tax on a product usually becomes payable when the product is produced, sold or imported, but it may also become payable in other circumstances, such as when a good is exported, leased, transferred, delivered, or used for own consumption or own capital formation.
Taxes on production and imports
Consists of ‘Taxes on products’ and ‘Other taxes on production’. These taxes do not include any taxes on the profits or other income received by an enterprise. They are payable irrespective of the profitability of the production process. They may be payable on the land, fixed assets or labour employed in the production process, or on certain activities or transactions.
Term to maturity
In these statistics, debt securities are classified into short term (equal to or less than one year) or long term (greater than one year) according to their original term to maturity (sometimes called tenor) rather than the time remaining until maturity. The original term to maturity is the time period from the issue of a security until the principal becomes due for repayment.
Terms of trade
Terms of trade represent the relationship between export and import prices. Australia's terms of trade are calculated by dividing the implicit price deflator of exports by the implicit price deflator of imports.
Total factor income
That part of the cost of producing the gross domestic product which consists of gross payments to factors of production (labour and capital). It represents the value added by these factors in the process of production and is equivalent to gross domestic product less taxes plus subsidies on production and imports.
Total requirements coefficients
A total requirement coefficient at the intersection of a row i and column j of a table represents the value of output of industry i required directly and indirectly to produce 100 units of output absorbed by final demand (i.e. final output) of industry j.
Total sales
Defined as:
- household final consumption expenditure on goods
- plus private gross fixed capital formation: dwellings, non-dwelling construction, and machinery and equipment
- plus public gross fixed capital formation: dwellings, non-dwelling construction, and machinery and equipment
- plus exports of goods.
Tourism
Tourism comprises the activities of visitors.
Tourism characteristic industries
Are those industries that would either cease to exist in their present form, producing their present products, or would be significantly affected if tourism were to cease. Under the international TSA standards, core lists of tourism characteristic industries, based on the significance of their link to tourism in the worldwide context, are recommended for implementation to facilitate international comparison. In the Australian TSA, for an industry to be a country-specific tourism characteristic industry, at least 25 per cent of its output must be consumed by visitors.
Tourism characteristic products
Are those products that would either cease to exist in meaningful quantity, or for which sales would be significantly reduced, in the absence of tourism. Under the international TSA standards, core lists of tourism characteristic products, based on the significance of their link to tourism in the worldwide context, are recommended for implementation to facilitate international comparison. In the Australian TSA, for a product to be a country-specific tourism characteristic product, at least 25 per cent of the output of the product must be consumed by visitors.
Tourism connected industries
Are those, other than tourism characteristic industries, for which a tourism related product is directly identifiable (primary) to, and where the products are consumed by visitors in volumes which are significant for the visitor and/or the producer. All other industries are classified as non-tourism industries, though some of their products may be consumed by visitors and are included in the calculation of direct tourism GVA or direct tourism GDP.
Tourism connected products
Are those that are consumed by visitors but are not considered as tourism characteristic products. All other products in the supply-use table not consumed by visitors are classified as ‘all other goods and services’ in the ATSA.
Tourism consumption
Consists of tourism expenditure plus imputed consumption by resident and non-resident visitors on tourism related products, including those sold at prices that are not economically significant.
Tourism expenditure
Consists of the amount paid by a visitor or on behalf of a visitor for and during his/her trip and stay at the destination.
Tourism industry ratio
The proportion of the total value added of an industry which is related to tourism.
Tourism product ratio
The proportion of the total supply of a product which is consumed by visitors.
Tourism trip
A tourism trip is defined by the international TSA standards as those trips which are taken by visitors.
Trade credits and advances
Trade credit is credit for the purchase of goods and services extended directly to corporations, to government, to NPIs, to households and to the rest of the world. It also includes advances for work that is in progress (if classified as such under inventories) or is to be undertaken.
Trade margin
Trade margin is defined as the difference between the actual or imputed price realised on a good purchased for resale and the price that would have to be paid by the distributor to replace the good at the time it is sold or otherwise disposed of.
Transaction
An economic flow that is an interaction between institutional units by mutual agreement or an action within an institutional unit that it is analytically useful to treat like a transaction.
Transferable deposits
Comprise all deposits that are exchangeable for banknotes and coins on demand at par and without penalty or restriction, and directly usable for making payments by cheque, draft, direct debit/credit or other direct payment facility.
Transport margin
Include any transport charges invoiced separately. The costs arising through the transport of goods from a producer to a purchaser by a third party even without a separate invoice is excluded from the basic price of the good being transported and is recorded as a transport margin. The latter treatment is adopted for the I-O tables only and is a deviation from the treatment outlined in the 2008 SNA and applied in the ABS S-U tables.
Type of activity unit (TAU)
The TAU is a producing unit comprising one or more business entities, sub-entities or branches of a business entity that can report production and employment activities via a minimum set of data items. The activity of the unit should be as homogeneous as possible.
Underground production
Underground production is defined as activities which may be legal but are deliberately concealed from public authorities to avoid:
- the payment of income, value added or other taxes;
- the payment of social security contributions;
- having to meet certain legal standards such as minimum wages, maximum hours, safety or health standards, etc.; and/or
- complying with certain administrative procedures, such as completing statistical questionnaires or other administrative forms.
Unfunded superannuation claims
Represent the liabilities of the general government sector to public sector employees in respect of unfunded retirement benefits. In Australia, most governments operate, or used to operate, superannuation schemes for their employees that are unfunded or only partly funded.
Unincorporated enterprise
An unincorporated enterprise represents the production activity of government units, non-profit institutions serving households, or households that cannot be treated as the production activity of a quasi-corporation.
Unit labour costs
These series represent a link between productivity and the cost of labour in producing output. A nominal Unit Labour Cost (ULC) measures the average cost of labour per unit of output while a real ULC adjusts a nominal ULC for general inflation. A ULC is calculated as the ratio of labour costs per hours worked by employees divided by volume gross value added per total hours worked. Positive growth in a real ULC indicates that labour cost pressures exist.
Unlisted shares
Equity securities not listed on an exchange. Unlisted shares can also be called private equity. Venture capital usually takes this form.
Usual environment
Comprises one or more areas in which a person undertakes their regular activities such as their residence, place of work, place of study and other places frequently visited. The usual environment criteria has two dimensions. Frequency means places that are visited on a routine basis (at least once a week) are considered part of a person’s usual environment, even if the place visited is located a considerable distance from place of residence. Distance means locations close (up to 40 kilometres from home for overnight trips and up to 50 kilometres from home (round trip) for day trips) to the place of residence of person are also included in their usual environment.
Valuables
Held as a store of value and include precious metals and stones not held for use as inputs to production, antiques, works of art and other valuables such as collections of jewellery of significant value. Valuables are not within the boundary of produced assets in the ASNA currently.
Vineyards, orchards and other plantations of trees yielding repeat products
Comprise trees (including vines and shrubs) cultivated for products that are yielded year after year, including those cultivated for fruits and nuts, for sap and resin, and for bark and leaf products.
Visitor
Any person taking a trip to a main destination outside his/her usual environment, for less than a year, for any main purpose (business, leisure or other personal purpose) other than to be employed by a resident entity in the country or place visited.
Wages and salaries
Consists of amounts payable in cash including the value of any social contributions, income taxes, fringe benefits tax, etc., payable by the employee even if they are actually withheld by the employer for administrative convenience or other reasons and paid directly to social insurance schemes, tax authorities, etc., on behalf of the employee. Wages and salaries may be paid as remuneration in kind instead of, or in addition to, remuneration in cash. Separation, termination and redundancy payments are also included in wages and salaries.
Weapons systems
Delivery systems such as warships, submarines, fighter aircraft, bombers and tanks. They are classified as produced non-financial fixed assets.
Wholesale trusts
Usually only open to institutional investors (e.g. life insurance companies, superannuation trusts, public unit trusts) and high net worth individuals due to high entry levels. However, some are open to the public via distribution channels such as platforms. They may issue a prospectus but more commonly issue only an information memorandum.
Withdrawals from income of quasi-corporations
Occurs when the owner of a quasi-corporation chooses to withdraw some or all entrepreneurial income from the quasi-corporation.