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All (4)

All (4) ((4 results))

  • Articles and reports: 75F0002M2021005
    Description:

    This paper presents low-income statistics from the 2016 Census for the population residing in Indigenous communities (on reserve), in the North and in Inuit Nunangat. The selected measure for the paper is the low-income measure, after-tax computed from the household incomes, adjusted for household size, of the whole population of Canada, including those residing on reserve and in the territories. Results are presented for Canada overall as well as for the population residing on reserve, in the territories and in Inuit Nunangat, which includes Inuvialuit Region of the Northwest Territories, Nunavik in Quebec and Nunatsiavut in Labrador. Methodological considerations in the application of the Low-income measure to these geographies are also discussed.

    Release date: 2021-09-21

  • Stats in brief: 11-627-M2020053
    Description:

    Using data from the Longitudinal and International Study of Adults, this infographic shows the relationship between the income of adult Canadians and the income of their parents when they were growing up. Additionally, it highlights that families with higher incomes were also families where parents were more highly educated, while families with lower incomes were more likely to have a non-official language as their mother tongue or to be lone-parent families.

    Release date: 2020-09-15

  • Articles and reports: 89-648-X2020002
    Description:

    Administrative data sets have become increasingly popular sources of information to study mobility across generations. However, the inclusion of parent-child pairs depends on the primary purpose for which the data was collected. In the case of tax records, both parents and children must have worked and filed their taxes, and the children's labour market entry must have happened before they left the parental home. This paper documents selection in samples of parent-child pairs constructed from personal income tax records from Canada, and discusses implications for intergenerational research. It takes advantage of the fact that Statistics Canada's Longitudinal and International Study of Adults (LISA) includes both survey and administrative data to inform the nature and severity of the resulting sample selection. Results show that respondents who were successfully linked to their parents are more educated, and are more likely to have grown up in better educated, nuclear families. However, correcting for sample selection suggests that there is no bias in unadjusted estimates.

    Release date: 2020-03-17

  • 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
Stats in brief (1)

Stats in brief (1) ((1 result))

  • Stats in brief: 11-627-M2020053
    Description:

    Using data from the Longitudinal and International Study of Adults, this infographic shows the relationship between the income of adult Canadians and the income of their parents when they were growing up. Additionally, it highlights that families with higher incomes were also families where parents were more highly educated, while families with lower incomes were more likely to have a non-official language as their mother tongue or to be lone-parent families.

    Release date: 2020-09-15
Articles and reports (3)

Articles and reports (3) ((3 results))

  • Articles and reports: 75F0002M2021005
    Description:

    This paper presents low-income statistics from the 2016 Census for the population residing in Indigenous communities (on reserve), in the North and in Inuit Nunangat. The selected measure for the paper is the low-income measure, after-tax computed from the household incomes, adjusted for household size, of the whole population of Canada, including those residing on reserve and in the territories. Results are presented for Canada overall as well as for the population residing on reserve, in the territories and in Inuit Nunangat, which includes Inuvialuit Region of the Northwest Territories, Nunavik in Quebec and Nunatsiavut in Labrador. Methodological considerations in the application of the Low-income measure to these geographies are also discussed.

    Release date: 2021-09-21

  • Articles and reports: 89-648-X2020002
    Description:

    Administrative data sets have become increasingly popular sources of information to study mobility across generations. However, the inclusion of parent-child pairs depends on the primary purpose for which the data was collected. In the case of tax records, both parents and children must have worked and filed their taxes, and the children's labour market entry must have happened before they left the parental home. This paper documents selection in samples of parent-child pairs constructed from personal income tax records from Canada, and discusses implications for intergenerational research. It takes advantage of the fact that Statistics Canada's Longitudinal and International Study of Adults (LISA) includes both survey and administrative data to inform the nature and severity of the resulting sample selection. Results show that respondents who were successfully linked to their parents are more educated, and are more likely to have grown up in better educated, nuclear families. However, correcting for sample selection suggests that there is no bias in unadjusted estimates.

    Release date: 2020-03-17

  • 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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