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Modellers' Database

Selected series for macroeconomic analysis derived from national accounts and labour force data

Reference period
September Quarter 2019
Released
12/12/2019

Main features

The Modellers' Database contains 119 series derived from National Accounts and Labour Force data to facilitate modelling requirements of stakeholders.

Changes in this issue

The Australian Bureau of Statistics has undertaken a review of the Modellers’ Database and has implemented changes in this release. Key changes include:

  • modification of methodology for measuring quarterly capital stock estimates,
  • improvements to ensure coherence with national accounts definitions on relevant series,
  • average earning per week: non-farm wage and salary earners has been modified to non-farm; average compensation per employee and therefore is no longer derived as a weekly average,
  • wages share of GDP modified to compensation of employees share of total factor income and based to 100,
  • implicit price deflators are based to 100, and
  • seasonal adjustment of the payroll tax rate.
     

The labels in the publication have been updated to better reflect the series it represents. Series IDs have remained the same.

Revisions in this issue

This issue will incorporate a number of revisions due to the aforementioned changes.

The estimates in this issue incorporate the 2017-18 annual supply and use tables. The supply and use tables incorporate revisions reflecting changes in methods, concepts, classifications and data sources. For more information on the role of supply and use tables in the national accounts and the major revisions, please see the Analysis of Results section in Australian System of National Accounts, 2018-19 (cat. no. 5204.0).

This publication includes the impact of re-referencing chain volume (CVM) estimates to the 2017–18 financial year. This in isolation will only affect levels of CVM estimates, generally leaving growth rates unchanged. 

Rounding

Any discrepancies between totals and sums of components are due to rounding.

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Inquiries

For further information about these and related statistics, contact the National Information and Referral Service on 1300 135 070.

Data downloads

Tables 01 to 17