5260.0.55.004 - Experimental Estimates of Industry Level KLEMS Multifactor Productivity, 2015-16 Quality Declaration 
Latest ISSUE Released at 11:30 AM (CANBERRA TIME) 24/01/2018   
   Page tools: Print Print Page Print all pages in this productPrint All RSS Feed RSS Bookmark and Share Search this Product

EXPLANATORY NOTES


1 This release contains a data cube which provides experimental estimates of KLEMS multifactor productivity (MFP) for individual industries in the Australian economy. The term KLEMS represents the five input categories – Capital (K), Labour (L), Energy (E), Materials (M) and Services (S).The methodology for constructing the data is outlined in the Information Paper: Experimental Estimates of Industry Level KLEMS Multifactor Productivity (cat. no. 5260.0.55.003).

2 The data cube includes measures of input, output and KLEMS MFP at the industry level from 1995-96. The 16 industries included in the data cube comprise the 'market sector', and are as follows:

ANZSIC DivisionIndustry
AAgriculture, Forestry and Fishing
BMining
CManufacturing
DElectricity, Gas, Water and Waste Services
EConstruction
FWholesale Trade
GRetail Trade
HAccommodation and Food Services
ITransport, Postal and Warehousing
JInformation, Media and Telecommunications
KFinancial and Insurance Services
LRental, Hiring and Real Estate Services
MProfessional, Scientific and Technical Services
NAdministrative and Support Services
RArts and Recreation Services
SOther Services

3 Under a gross output based MFP approach, the contribution of each of the primary and intermediate inputs to output is weighted using the cost shares of each input. The cost shares for labour and capital are their respective primary incomes, divided by the current price value of gross output, while the cost shares for intermediate inputs are the expenditures on inputs, divided by the value of gross output.

4 The data in this release should be considered experimental and hence, interpreted with reference to the qualifying discussions, as presented in the Information Paper: Experimental Estimates of Industry Level KLEMS Multifactor Productivity (cat. no. 5260.0.55.003).


RELIABILITY AND FUTURE REVISIONS

5 Productivity estimates are prepared from a wide range of statistical sources, some of which are available soon after the reference period, while others only with a delay of several years. Most of the data are derived from the regular program of statistical surveys undertaken by the ABS 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 recent years are particularly sensitive to revisions as improved data become available.

6 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. 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.


PRIVACY

7 The ABS Privacy Policy outlines how the ABS will handle any personal information that you provide to the ABS.


INQUIRIES

8 For further information about these and related statistics, contact: productivity.statistics@abs.gov.au or the National Information and Referral Service on 1300 135 070.