6202.0 - Labour Force, Australia, Jan 2017 Quality Declaration
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 16/02/2017
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JANUARY KEY POINTS
TREND ESTIMATES (MONTHLY CHANGE)
SEASONALLY ADJUSTED ESTIMATES (MONTHLY CHANGE)
ANNUAL SEASONAL RE-ANALYSIS
The annual seasonal re-analysis of the Labour Force series will be conducted on estimates up to March 2017. The seasonally adjusted and trend estimates in the March 2017 issue, which will be released on 13 April 2017, will reflect minor adjustments made as a result of this annual review process (for more information see Explanatory Note 33).
As part of the 2017 re-analysis, for which there will be a short article in the next issue, the ABS will be specifically reviewing the length of seasonal filters that are used in Labour Force series. Any changes to the lengths of seasonal filters for specific series are expected to provide more stable estimates of seasonal factors, thereby reducing the average size of revisions. As a single seasonal filter must be applied across the entire history of a series, any changes to the filter will lead to a one-off minor revision across the length of the series. The size of revisions are generally expected to be small.
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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