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  • Articles and reports: 36-28-0001202100500004
    Description:

    The COVID-19 pandemic has changed how production occurs in the economy in two ways. One is the full or partial closure of non-essential activities such as travel, hospitality, arts and entertainment, personal services, airlines, etc. The other is the widespread shift from in-office work to working from home. This Insights article depicts labour productivity growth in Canada and its sources by industry during the COVID-19 pandemic in order to examine the implications these changes may have had on the productivity performance of the economy.

    Release date: 2021-05-26

  • Articles and reports: 11F0019M2020005
    Description:

    Understanding intangible investments is essential for providing accurate measures of gross fixed capital formation (GFCF), gross domestic product (GDP) and productivity growth, and for understanding the innovation system. Statistical agencies need measures of intangible investment to produce economic statistics on aggregate activity that accurately measure concepts such as GDP, GFCF or savings. The levels of GDP, GFCF and savings will be underestimated to the extent that expenditures are incorrectly classified as intermediate inputs that are fully consumed during the period being measured—and not as investments that are not fully consumed during the period when the expenditures are incurred. Estimates for GDP and productivity growth rates may be similarly underestimated. This paper updates and expands upon the intangible capital estimates presented by Baldwin et al. (2009), who extended already measured intangibles (i.e., research and development [R&D], software, mineral exploration) to include additional asset classes consistent with international research on intangible capital measurement (see Corrado, Hulten and Sichel 2009).

    Release date: 2020-02-12

  • Articles and reports: 11F0019M2020001
    Description:

    Multifactor productivity (MFP) declined in Canada from 2000 to 2009 and then recovered after. The movements in productivity since 2000 have attracted great attention from researchers and policy makers because productivity is important both for economic growth and for improvements in living standards. This paper applies the stochastic frontier framework to decompose each firm’s MFP into two parts: its technological frontier and its technical efficiency. Change in the aggregate technological frontier refers to improvements in the productivity potential of an economy, i.e., the maximum productivity of an economy if all firms are fully efficient. Aggregate technical efficiency reflects the economy’s capacity to achieve that potential. The results of this decomposition can show whether the movements in productivity after 2000 in Canada were mainly the result of changes in the technological frontier and productivity potential or of changes in the technical efficiency.

    Release date: 2020-01-17

  • Journals and periodicals: 15-212-X
    Geography: Canada
    Description: This paper examines the revisions published in 2011 to Canadian and the United States business sector labour productivity estimates and related variables. In addition to the usual three years revision cycle of the Canadian National Accounts, hours worked in Canada were revised back to 1981 to incorporate the historical revision of the Labour Force Survey published in January 2011. The United States National Accounts estimates were revised back to 2003 and hours worked back to 2002.
    Release date: 2012-03-29
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  • Articles and reports: 36-28-0001202100500004
    Description:

    The COVID-19 pandemic has changed how production occurs in the economy in two ways. One is the full or partial closure of non-essential activities such as travel, hospitality, arts and entertainment, personal services, airlines, etc. The other is the widespread shift from in-office work to working from home. This Insights article depicts labour productivity growth in Canada and its sources by industry during the COVID-19 pandemic in order to examine the implications these changes may have had on the productivity performance of the economy.

    Release date: 2021-05-26

  • Articles and reports: 11F0019M2020005
    Description:

    Understanding intangible investments is essential for providing accurate measures of gross fixed capital formation (GFCF), gross domestic product (GDP) and productivity growth, and for understanding the innovation system. Statistical agencies need measures of intangible investment to produce economic statistics on aggregate activity that accurately measure concepts such as GDP, GFCF or savings. The levels of GDP, GFCF and savings will be underestimated to the extent that expenditures are incorrectly classified as intermediate inputs that are fully consumed during the period being measured—and not as investments that are not fully consumed during the period when the expenditures are incurred. Estimates for GDP and productivity growth rates may be similarly underestimated. This paper updates and expands upon the intangible capital estimates presented by Baldwin et al. (2009), who extended already measured intangibles (i.e., research and development [R&D], software, mineral exploration) to include additional asset classes consistent with international research on intangible capital measurement (see Corrado, Hulten and Sichel 2009).

    Release date: 2020-02-12

  • Articles and reports: 11F0019M2020001
    Description:

    Multifactor productivity (MFP) declined in Canada from 2000 to 2009 and then recovered after. The movements in productivity since 2000 have attracted great attention from researchers and policy makers because productivity is important both for economic growth and for improvements in living standards. This paper applies the stochastic frontier framework to decompose each firm’s MFP into two parts: its technological frontier and its technical efficiency. Change in the aggregate technological frontier refers to improvements in the productivity potential of an economy, i.e., the maximum productivity of an economy if all firms are fully efficient. Aggregate technical efficiency reflects the economy’s capacity to achieve that potential. The results of this decomposition can show whether the movements in productivity after 2000 in Canada were mainly the result of changes in the technological frontier and productivity potential or of changes in the technical efficiency.

    Release date: 2020-01-17

  • Journals and periodicals: 15-212-X
    Geography: Canada
    Description: This paper examines the revisions published in 2011 to Canadian and the United States business sector labour productivity estimates and related variables. In addition to the usual three years revision cycle of the Canadian National Accounts, hours worked in Canada were revised back to 1981 to incorporate the historical revision of the Labour Force Survey published in January 2011. The United States National Accounts estimates were revised back to 2003 and hours worked back to 2002.
    Release date: 2012-03-29
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