8159.0 - Experimental Estimates for the Manufacturing Industry, 2009-10  
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 12/12/2011  Final
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Contents >> Concepts and Methods >> Summary of Data Streams

SUMMARY OF DATA STREAMS

FIGURE 2. CONTRIBUTION OF DATA STREAMS TO EXPERIMENTAL ESTIMATES
Diagram: FIGURE 2. CONTRIBUTION OF DATA STREAMS TO EXPERIMENTAL ESTIMATES



The Survey Stream

The survey stream consists of businesses with directly collected EAS data. These are the completely enumerated businesses (those with employment of at least 300); and randomly sampled employing businesses, with employment less than 300 and exceeding a turnover threshold level from both the ABSBR Profiled and Non-profiled populations. Directly collected EAS data were used for these units.


The Micro Non-Employing Stream

This stream includes units from the Non-profiled population which are non-employing businesses operating in only a single state or territory and whose turnover for each ANZSIC class was below the turnover threshold. For these businesses sales and service income and wages and salaries use BAS data directly, simple modelling of BAS data creates industry value added and employment is based on the business type of (legal) structure, e.g. a sole proprietor or partnership.


The Modelled Stream

The modelled stream includes all businesses not selected in EAS (the survey stream), or not in the micro non-employing stream as defined above (in EAS collection design).

Units from Non-profiled population

Most businesses in the modelled stream are units from the Non-profiled population. Modelled data were created through the use of robust, trimmed regression estimators, which used survey data regressed against BAS data. The BAS data were found to have a high correlation with corresponding data from the EAS.

The regression factors were obtained by utilising sampled units from the Non-profiled population that are in the survey stream and comparing their reported survey data with their matching BAS data. These regression factors were created at the ANZSIC subdivision level. Sales and service income was modelled using BAS total sales as the auxiliary variable; wages and salaries, employment and IVA were modelled using BAS wages and salaries. Modelling of employment also took into account the business type (i.e. type of legal organisation) using a factor created at the ANZSIC division level.

Modelled data for units, from the Non-profiled population, in the modelled stream were created by multiplying their BAS data by the calculated regression factors.

Units from Profiled population

For businesses in the Profiled population not directly surveyed with employment of 20 or more, data were modelled from data collected from Profiled population units in the survey stream.







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