6202.0 - Labour Force, Australia, Mar 2018 Quality Declaration
Latest ISSUE Released at 11:30 AM (CANBERRA TIME) 19/04/2018
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MARCH KEY POINTS
TREND ESTIMATES (MONTHLY CHANGE)
SEASONALLY ADJUSTED ESTIMATES (MONTHLY CHANGE)
ANNUAL SEASONAL RE-ANALYSIS
As previously advised, the Annual Seasonal Re-analysis of the Labour Force series has been conducted on estimates up to February 2018. The seasonally adjusted and trend estimates in this issue reflect adjustments made as a result of this re-analysis. For further information on this please see the article "Annual Seasonal Re-analysis".
IMPROVEMENTS TO TREND ESTIMATES
As previously advised, the ABS has implemented some minor improvements to trend estimation for the Labour Force time series as part of the 2018 Annual Seasonal Re-analysis. For further information on this please see the article "Improvements to Trend Estimation".
UPDATE ON MONTHLY UNDEREMPLOYMENT ESTIMATES
As previously advised, the implementation of monthly underemployment and underutilisation measures has been delayed. The ABS will provide further advice on the revised implementation schedule in the next issue of Labour Force, Australia (cat. no. 6202.0). We thank users for their patience and understanding with this delay.
As a result of Cyclone Marcus, some operational difficulties were experienced in conducting the monthly Labour Force Survey in parts of the Northern Territory for March 2018. Investigations did not identify any major effect on aggregate estimates. The ABS will review this when April data are available. In the meantime, the ABS recommends a degree of caution when analysing Northern Territory estimates for March 2018.
Estimates of changes shown on the front cover and used in the commentary have been calculated using unrounded estimates, and may be different from, but are more accurate than, movement obtained from the rounded estimates. The graphs on the front cover also depict unrounded estimates.
The estimates in this publication are based on a sample survey. Published estimates and movements are subject to sampling variability. Standard errors give a measure of sampling variability. The interval bounded by two standard errors is the 95% confidence interval, which provides a way of looking at the variability inherent in estimates. There is a 95% chance that the true value of the estimate lies within that interval.
For further information about these and related statistics, email <firstname.lastname@example.org> or contact the National Information and Referral Service on 1300 135 070.
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