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    • Journals and periodicals: 75F0002M
      Description: This series provides detailed documentation on income developments, including survey design issues, data quality evaluation and exploratory research.
      Release date: 2024-10-29

    • Articles and reports: 75F0002M2021006
      Description:

      Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This update extends earlier, experimental research into monthly family income trends of Canadians over the pandemic period. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. This update incorporates additional data sources and takes into account the emergency programs introduced at the beginning of the pandemic as well as the recovery programs introduced in late September 2020 to replace them. Population coverage is consistent with the second edition, however experimental estimates have been updated and extended through March 2021. The paper describes the data sources used, estimation strategies employed, limitations, and potential future developments.

      Release date: 2021-07-28

    • Articles and reports: 75F0002M2020004
      Description:

      Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This research paper highlights experimental methods designed to measure the impact of the pandemic on month-by-month family income trends of Canadians long before detailed annual statistics become available. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. The objective is to shed light on the impact of labour market disruptions on Canadians and their families and the extent to which emergency benefits introduced by the government offset these disruptions. This paper describes the data sources used, estimation strategies employed, initial results, limitations, and potential future developments.

      Release date: 2020-12-18

    • Public use microdata: 75M0010X
      Description: The cross-sectional public-use microdata file for the Survey of Labour and Income Dynamics (SLID) is a collection of income, labour and family variables on persons in Canada and their families. This file includes many safeguards to prevent the identification of any one person.

      Although often referred to as a single file, the SLID public-use microdata file is actually four separate files: key, person, economic family and census family.

      The person file contains identifier data, which allows a researcher to group persons into households, economic families and census families, as well as link each of these files together.

      Release date: 2014-07-30
    Data (1)

    Data (1) ((1 result))

    • Public use microdata: 75M0010X
      Description: The cross-sectional public-use microdata file for the Survey of Labour and Income Dynamics (SLID) is a collection of income, labour and family variables on persons in Canada and their families. This file includes many safeguards to prevent the identification of any one person.

      Although often referred to as a single file, the SLID public-use microdata file is actually four separate files: key, person, economic family and census family.

      The person file contains identifier data, which allows a researcher to group persons into households, economic families and census families, as well as link each of these files together.

      Release date: 2014-07-30
    Analysis (3)

    Analysis (3) ((3 results))

    • Journals and periodicals: 75F0002M
      Description: This series provides detailed documentation on income developments, including survey design issues, data quality evaluation and exploratory research.
      Release date: 2024-10-29

    • Articles and reports: 75F0002M2021006
      Description:

      Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This update extends earlier, experimental research into monthly family income trends of Canadians over the pandemic period. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. This update incorporates additional data sources and takes into account the emergency programs introduced at the beginning of the pandemic as well as the recovery programs introduced in late September 2020 to replace them. Population coverage is consistent with the second edition, however experimental estimates have been updated and extended through March 2021. The paper describes the data sources used, estimation strategies employed, limitations, and potential future developments.

      Release date: 2021-07-28

    • Articles and reports: 75F0002M2020004
      Description:

      Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This research paper highlights experimental methods designed to measure the impact of the pandemic on month-by-month family income trends of Canadians long before detailed annual statistics become available. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. The objective is to shed light on the impact of labour market disruptions on Canadians and their families and the extent to which emergency benefits introduced by the government offset these disruptions. This paper describes the data sources used, estimation strategies employed, initial results, limitations, and potential future developments.

      Release date: 2020-12-18
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