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- Articles and reports: 81-595-M2020001Description:
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 - 2. Self-employed individuals, self-employment income and the post-COVID-19 financial strain ArchivedStats in brief: 45-28-0001202000100078Description:
Although the number of self-employed individuals has remained largely unchanged since the beginning of the COVID-19 pandemic, many of the self-employed are likely to remain under severe financial strain. This article looks at the unincorporated self-employed more broadly and highlights another important factor that will likely have a large impact on their financial well-being: whether or not the self-employed individuals also have T4 earnings.
Release date: 2020-09-18 - 3. T1 Family File, Final Estimates, 2018 ArchivedSurveys and statistical programs – Documentation: 72-212-X2020001Description:
Data on income of census families, individuals and seniors are derived from income tax returns. The data for the products associated with this release are derived from the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.
Release date: 2020-09-02 - Articles and reports: 89-648-X2020003Description:
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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- Articles and reports: 81-595-M2020001Description:
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 - 2. Self-employed individuals, self-employment income and the post-COVID-19 financial strain ArchivedStats in brief: 45-28-0001202000100078Description:
Although the number of self-employed individuals has remained largely unchanged since the beginning of the COVID-19 pandemic, many of the self-employed are likely to remain under severe financial strain. This article looks at the unincorporated self-employed more broadly and highlights another important factor that will likely have a large impact on their financial well-being: whether or not the self-employed individuals also have T4 earnings.
Release date: 2020-09-18 - Articles and reports: 89-648-X2020003Description:
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
Reference (1)
Reference (1) ((1 result))
- 1. T1 Family File, Final Estimates, 2018 ArchivedSurveys and statistical programs – Documentation: 72-212-X2020001Description:
Data on income of census families, individuals and seniors are derived from income tax returns. The data for the products associated with this release are derived from the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.
Release date: 2020-09-02
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