Productivity and ULC by Main Economic Activity (ISIC Rev.4)
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Bibliographic citation:
Organisation for Economic Co-operation and Development: Productivity Statistics (January 2019 Edition). UK Data Service DOI: https://doi.org/10.5257/oecd/prod/2019-01

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Yearly on a rolling basis.

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STAN Database for Structural Analysis.

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January 2019

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Yearly, series are available from 1990 to 2009

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Per cent.

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Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Korea, Netherlands, Norway, Poland, Spain, Sweden, United Kingdom, United States.

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14 industries

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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.

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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.

Productivity and ULC by Main Economic Activity (ISIC Rev.4)Abstract

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.

OECD Manual on Measuring Productivityhttp://www.oecd.org/dataoecd/59/29/2352458.pdf
Contact person/organisation

http://ukdataservice.ac.uk/help/get-in-touch.aspxhttp://ukdataservice.ac.uk/help/get-in-touch.aspxData source(s) used

STAN Database for Structural Analysis.

Variables collected from STANhttp://stats.ukdataservice.ac.uk/metadata/OECD/Productivity/variables_collected_STAN.pdf
Direct source

Bibliographic citation:
Organisation for Economic Co-operation and Development: Productivity Statistics (January 2019 Edition). UK Data Service DOI: https://doi.org/10.5257/oecd/prod/2019-01

Source Periodicity

Yearly on a rolling basis.

Unit of measure used

Per cent.

Periodicity

Yearly, series are available from 1990 to 2009

Date last updated

January 2019

Other data characteristics

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.

OECD Productivity internet pagehttp://www.oecd.org/std/productivitystatistics/
Geographic coverage

Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Korea, Netherlands, Norway, Poland, Spain, Sweden, United Kingdom, United States.

Sector coverage

14 industries

Key statistical concept

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.

Recommended uses and limitations

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.

Guide to OECD Productivity Statisticshttp://ukdataservice.ac.uk/use-data/guides/dataset/prod-statistics.aspx
Other comments

Copyright:
Organisation for Economic Co-operation and Development

Terms and Conditionshttp://ukdataservice.ac.uk/get-data/how-to-access/conditions.aspx