Labour data and capital data for multifactor productivity growth estimates

Labour data and capital data that are used by the Canadian Productivity Accounts (CPAs) to estimate labour input, capital input, and multifactor productivity growth in the industry productivity database are now available.

Labour data includes hours worked and labour compensation by sex, job category, age group, and educational attainment at a detailed industry level, according to the North American Industry Classification System (NAICS) for the period 1961 to 2007.

Capital data includes investment, capital stock and capital services of different types of physical assets at a detailed industry level, according to the NAICS for the period 1961 to 2005.

Labour input for multifactor productivity measures in the CPAs is estimated as a weighted sum of hours worked using labour compensation as weights across different categories of workers. The measure takes into account the effect of the compositional shifts of hours worked towards more educated and more experienced workers on labour input.

Capital input is estimated as the weighted sum of capital stock using the user cost of capital as weights across different types of assets. Capital input measure reflects the services that flow from the stock of capital.

Available on CANSIM: tables 383-0024 and 383-0025.

Definitions, data sources and methods: survey number 1402.

A description of the method used to derive labour data and capital data can be found in "User guide for Statistics Canada's annual multifactor productivity program," as part of The Canadian Productivity Review (15-206-X2007014, free) series, and in The Latest Developments in the Canadian Economic Accounts: Industry Productivity Database, Vol. 7, no. 5 (13-605-X, free), from the Analytical studies module of our website.

For more information, or to enquire about the concepts, methods or data quality of this release, contact Wulong Gu (613-951-0754), Micro-economic Analysis Division.

Labour data and capital data for multifactor productivity growth estimates

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Labour data and capital data that are used by the Canadian Productivity Accounts (CPAs) to estimate labour input, capital input, and multifactor productivity growth in the industry productivity database are now available.

Labour data includes hours worked and labour compensation by sex, job category, age group, and educational attainment at a detailed industry level, according to the North American Industry Classification System (NAICS) for the period 1961 to 2007.

Capital data includes investment, capital stock and capital services of different types of physical assets at a detailed industry level, according to the NAICS for the period 1961 to 2005.

Labour input for multifactor productivity measures in the CPAs is estimated as a weighted sum of hours worked using labour compensation as weights across different categories of workers. The measure takes into account the effect of the compositional shifts of hours worked towards more educated and more experienced workers on labour input.

Capital input is estimated as the weighted sum of capital stock using the user cost of capital as weights across different types of assets. Capital input measure reflects the services that flow from the stock of capital.

Available on CANSIM: tables 383-0024 and 383-0025.

Definitions, data sources and methods: survey number 1402.

A description of the method used to derive labour data and capital data can be found in "User guide for Statistics Canada's annual multifactor productivity program," as part of The Canadian Productivity Review (15-206-X2007014, free) series, and in The Latest Developments in the Canadian Economic Accounts: Industry Productivity Database, Vol. 7, no. 5 (13-605-X, free), from the Analytical studies module of our website.

For more information, or to enquire about the concepts, methods or data quality of this release, contact Wulong Gu (613-951-0754), Micro-economic Analysis Division.