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3 To assist data users to link these industry level estimates to aggregate measures in the Australian System of National Accounts (cat. no. 5204.0), this data cube also includes aggregate MFP measures for the market sector Divisions A to N and Divisions R and S) dating back to 1994-95. Also included is a 12 selected industry grouping (Divisions A to K and R), which is useful for analysing productivity performance from the perspective of a longer time series.
CHANGES IN THIS DATA CUBE
4 This data cube incorporates significant revisions to growth in hours worked industry indices, labour productivity industry indices and market sector aggregates. These revisions resulted from new population benchmarks from the 2011 Census of Population and Housing (Census) applied to the labour force estimates.
5 This data cube also incorporates the updates to the 2013-14 edition of the Australian System of National Accounts (cat. no. 5204.0). It includes revisions to industry chain volume value added, certain types of capital, and income, due to both updated source data and improved compilation methods, for the period between 2010-11 and 2012-13.
6 For a more detailed discussion about updates to the Australian System of National Accounts data, please refer to the Analysis of results section of the Australian System of National Accounts (cat. no. 5204.0),
7 This release contains a supplementary data cube that provides experimental estimates of industry contributions to market sector labour productivity and of mining multifactor productivity which accounts for changes in mineral and energy resources inputs. For further information refer to Feature Article: Experimental productivity growth accounts.
LIST OF TABLES
SUPPLEMENTARY DATA CUBE - EXPERIMENTAL TABLES
RELIABILITY AND FUTURE REVISIONS
8 Productivity estimates are prepared from a wide range of statistical sources some of which are available quickly and some only with a delay of several years. Most of the basic data are derived from the general system of statistical surveys or as a by-product of government administrative processes. The frequency, detail and timeliness of these data sources are constrained by many factors, including the other statistical purposes, which they must serve. Any increase in timeliness of data is usually at the expense of detail, reliability or additional resources. Therefore, productivity estimates in the recent years are particularly sensitive to revisions as firmer data become available.
9 Revisions arise from the progressive incorporation of more up to date data, re-weighting of chain volume series and from time-to-time the introduction of new economic concepts, data analysis and improved data sources and methods. For example, revisions to productivity estimates in past releases included:
10 Revisions are an inevitable consequence of the compilation process, reflecting both the complexity of economic measurement and the need to provide economic policy advisers and other users with initial estimates that are timely in order to maximise their use in analysis of current economic conditions.
12 For further information about these and related statistics, contact the National Information and Referral Service on 1300 135 070 or Derek Burnell on (02) 6252 6427.
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