Database Specific
Database Specific Abstract AbstractPlease note that this dataset is discontinued. Annual sectoral statistics on Productivity growth are available at Productivity and ULC by main economic activity
This dataset provides productivity indicators to analyze the sources of economic growth at detailed level of activity across countries. It includes annual measure of output (value added), labour and capital inputs, share of labour input in total cost, multi-factor productivity and labour productivity.
Source Source Contact person/organisation Contact person/organisation Date last input received Date last input received18th February 2015
Direct source Direct sourceBibliographic citation:
Organisation for Economic Co-operation and Development: Productivity Statistics (June 2011 Edition). UK Data Service DOI: https://doi.org/10.5257/oecd/prod/2014
Source Periodicity Source PeriodicityYearly on a rolling basis.
Data source(s) used Data source(s) usedSTAN Database for Structural Analysis.
Data Characteristics Data Characteristics Date last updated Date last updatedJune 2011
Other data characteristics Other data characteristicsNote to users: At the beginning of 2012, GDP per hour worked was significantly revised for a large number of OECD countries. Revisions are mainly due to the implementation of the classification NACE Rev.2 by European countries into their national accounts, the change of reference year in some OECD member countries, along with the possible implementation of other methodological changes.
These changes can impact on output and/or labour input at the whole economy level, and can also have an effect on the growth in Multi-factor productivity (see MFP dataset under Productivity theme); therefore, care should be taken when using the productivity estimates hereafter.
Estimates of productivity levels and GDP per capita permit the comparison of standards of living and underlying factors across countries..
The productivity and income estimates presented in this data set are mainly based on GDP and employment data from the OECD Annual National Accounts and on hours worked from the OECD Annual National Accounts, the OECD Employment Outlook and national sources. Sometimes, secondary sources such as OECD Annual Labour Force Statistics and OECD Economic Outlook can be used..
Estimates of productivity levels are more uncertain than estimates of productivity growth; therefore, those measures should be interpreted with caution.
Periodicity PeriodicityYearly, series are available from 1990 to 2009
Unit of measure used Unit of measure usedPer cent.
Population & Scope Population & Scope Geographic coverage Geographic coverageAustria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Korea, Netherlands, Norway, Poland, Spain, Sweden, United Kingdom, United States.
Sector coverage Sector coverage14 industries
Concepts & Classifications Concepts & Classifications Key statistical concept Key statistical conceptThe OECD productivity by industry database provides productivity indicators to analyze the sources of economic growth at detailed level of activity across countries. It includes annual measure of output (value added), labour and capital inputs, share of labour input in total cost, multi-factor productivity and labour productivity in terms of growth over 2 periods for main industries selected from the current version of STAN based on ISIC Rev 3. The OECD productivity by industry database is a consistent dataset of productivity measures that is to be added to the OECD productivity for the total economy database, aiming to widen analytical studies for industrial activities.
The estimates of MFP by industry are consistent with MFP computed at the aggregate level with the following approaches:
- Solow residual using cost share
- Geometric depreciation rate
- Exogenous rate of return (ex-ante approach)
- Coverage of all economic activities excluding activity related to residential construction.
Due to the lack of data on investment by industry and by asset, which is a major requirement to obtain capital services series as a measure for capital input in the OECD productivity at the total economy level, the estimates of MFP at industry level is computed using net capital stocks.
Other Aspects Other Aspects Other comments Other commentsCopyright:
Organisation for Economic Co-operation and Development
Recommended uses and limitations Recommended uses and limitationsThis data has been compiled for the purpose of international comparisons at industry level across OECD countries. However, since different measurements of capital input have been implemented between the OECD Productivity by industry database and the OECD productivity for the total economy database, i.e. net capital stocks for one and capital services for the other, the most appropriate way to compare data across countries and across industries is to do so within the same dataset. The users should keep in mind that the capital services constitute the recommended measure for the productivity analysis.
Please note that this dataset is discontinued. Annual sectoral statistics on Productivity growth are available at Productivity and ULC by main economic activity
This dataset provides productivity indicators to analyze the sources of economic growth at detailed level of activity across countries. It includes annual measure of output (value added), labour and capital inputs, share of labour input in total cost, multi-factor productivity and labour productivity.
STAN Database for Structural Analysis.
Bibliographic citation:
Organisation for Economic Co-operation and Development: Productivity Statistics (June 2011 Edition). UK Data Service DOI: https://doi.org/10.5257/oecd/prod/2014
Yearly on a rolling basis.
18th February 2015
Per cent.
Yearly, series are available from 1990 to 2009
June 2011
Note to users: At the beginning of 2012, GDP per hour worked was significantly revised for a large number of OECD countries. Revisions are mainly due to the implementation of the classification NACE Rev.2 by European countries into their national accounts, the change of reference year in some OECD member countries, along with the possible implementation of other methodological changes.
These changes can impact on output and/or labour input at the whole economy level, and can also have an effect on the growth in Multi-factor productivity (see MFP dataset under Productivity theme); therefore, care should be taken when using the productivity estimates hereafter.
Estimates of productivity levels and GDP per capita permit the comparison of standards of living and underlying factors across countries..
The productivity and income estimates presented in this data set are mainly based on GDP and employment data from the OECD Annual National Accounts and on hours worked from the OECD Annual National Accounts, the OECD Employment Outlook and national sources. Sometimes, secondary sources such as OECD Annual Labour Force Statistics and OECD Economic Outlook can be used..
Estimates of productivity levels are more uncertain than estimates of productivity growth; therefore, those measures should be interpreted with caution.
Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Korea, Netherlands, Norway, Poland, Spain, Sweden, United Kingdom, United States.
14 industries
The OECD productivity by industry database provides productivity indicators to analyze the sources of economic growth at detailed level of activity across countries. It includes annual measure of output (value added), labour and capital inputs, share of labour input in total cost, multi-factor productivity and labour productivity in terms of growth over 2 periods for main industries selected from the current version of STAN based on ISIC Rev 3. The OECD productivity by industry database is a consistent dataset of productivity measures that is to be added to the OECD productivity for the total economy database, aiming to widen analytical studies for industrial activities.
The estimates of MFP by industry are consistent with MFP computed at the aggregate level with the following approaches:
- Solow residual using cost share
- Geometric depreciation rate
- Exogenous rate of return (ex-ante approach)
- Coverage of all economic activities excluding activity related to residential construction.
Due to the lack of data on investment by industry and by asset, which is a major requirement to obtain capital services series as a measure for capital input in the OECD productivity at the total economy level, the estimates of MFP at industry level is computed using net capital stocks.
This data has been compiled for the purpose of international comparisons at industry level across OECD countries. However, since different measurements of capital input have been implemented between the OECD Productivity by industry database and the OECD productivity for the total economy database, i.e. net capital stocks for one and capital services for the other, the most appropriate way to compare data across countries and across industries is to do so within the same dataset. The users should keep in mind that the capital services constitute the recommended measure for the productivity analysis.
Copyright:
Organisation for Economic Co-operation and Development