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  • 1. Experimental estimates of family weekly income for January to September 2020
    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
  • 2. The Impact of Short-duration Credentials After an Undergraduate Degree on Labour Market Outcomes
    Articles and reports: 81-595-M2020001
    Description:

    This study uses longitudinal data combining information from the Postsecondary Student Information System (PSIS) with data from personal income tax (T1 Family File) to analyze the impact of short-duration credentials (certificates and diplomas from colleges and universities), completed after an undergraduate degree, on the outcomes on the labour market of graduates from Canadian public universities.

    Release date: 2020-10-16
  • 3. Assessing the suitability of the Longitudinal and International Study of Adults for the estimation of intergenerational income mobility
    Articles and reports: 89-648-X2020003
    Description:

    This study investigates the suitability of Canada's Longitudinal and International Study of Adults (LISA) for research on intergenerational income mobility. The LISA combines survey data, collected biennially since 2012, and the personal income tax records of both respondents and their past and present family members. In comparison, existing work on intergenerational mobility in Canada has often used the Intergenerational Income Database (IID), a purely administrative dataset based on the universe of tax filers. The IID's size has allowed researchers to describe the experience of mobility of narrowly defined geographic units and cohorts. However, its potential to investigate the mechanisms underlying these patterns is limited, given the small set of variables it informs. As such, the LISA is a promising candidate to further our understanding of the drivers of mobility. This study reproduces the analysis from four key papers that have documented the intergenerational transmission of income in Canada using the IID. Despite having a much smaller sample size and a different approach to the establishment of parent-child links, it finds that the LISA produces results that are consistent with the existing literature. This study also explores the sensitivity of rank-rank estimates to the choice of different specification and present results that will guide the methodological choices to be made by users of the LISA intergenerational family files in combination with LISA variables from the survey data.

    Release date: 2020-03-17
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  • 1. Experimental estimates of family weekly income for January to September 2020
    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
  • 2. The Impact of Short-duration Credentials After an Undergraduate Degree on Labour Market Outcomes
    Articles and reports: 81-595-M2020001
    Description:

    This study uses longitudinal data combining information from the Postsecondary Student Information System (PSIS) with data from personal income tax (T1 Family File) to analyze the impact of short-duration credentials (certificates and diplomas from colleges and universities), completed after an undergraduate degree, on the outcomes on the labour market of graduates from Canadian public universities.

    Release date: 2020-10-16
  • 3. Assessing the suitability of the Longitudinal and International Study of Adults for the estimation of intergenerational income mobility
    Articles and reports: 89-648-X2020003
    Description:

    This study investigates the suitability of Canada's Longitudinal and International Study of Adults (LISA) for research on intergenerational income mobility. The LISA combines survey data, collected biennially since 2012, and the personal income tax records of both respondents and their past and present family members. In comparison, existing work on intergenerational mobility in Canada has often used the Intergenerational Income Database (IID), a purely administrative dataset based on the universe of tax filers. The IID's size has allowed researchers to describe the experience of mobility of narrowly defined geographic units and cohorts. However, its potential to investigate the mechanisms underlying these patterns is limited, given the small set of variables it informs. As such, the LISA is a promising candidate to further our understanding of the drivers of mobility. This study reproduces the analysis from four key papers that have documented the intergenerational transmission of income in Canada using the IID. Despite having a much smaller sample size and a different approach to the establishment of parent-child links, it finds that the LISA produces results that are consistent with the existing literature. This study also explores the sensitivity of rank-rank estimates to the choice of different specification and present results that will guide the methodological choices to be made by users of the LISA intergenerational family files in combination with LISA variables from the survey data.

    Release date: 2020-03-17
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