Longitudinal and International Study of Adults

The Longitudinal and International Study of Adults collects information from people across Canada about their jobs, education, health and family. The study is also interested in how changes in these areas have affected people's lives. This survey aims to help improve education, employment, training and social services in Canada.

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All (7)

All (7) ((7 results))

  • Stats in brief: 11-001-X202231822683
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2022-11-14

  • Articles and reports: 89-648-X2022001
    Description:

    This report explores the size and nature of the attrition challenges faced by the Longitudinal and International Study of Adults (LISA) survey, as well as the use of a non-response weight adjustment and calibration strategy to mitigate the effects of attrition on the LISA estimates. The study focuses on data from waves 1 (2012) to 4 (2018) and uses practical examples based on selected demographic variables, to illustrate how attrition be assessed and treated.

    Release date: 2022-11-14

  • Articles and reports: 89-648-X2020004
    Description:

    This technical report is intended to validate the Longitudinal and International Study of Adults (LISA) Wave 4 (2018) Food Security (FSC) module and provide recommendations for analytical use. Section 2 of this report provides an overview of the LISA data. Section 3 provides some background information of food security measures in national surveys and why it is significant in today's literature. Section 4 analyzes FSC data by presenting key descriptive statistics and logic checks using LISA methodology as well as outside researcher information. In section 5, certification validation was done by comparing other Canadian national surveys that have used the FSC module to the one used by LISA. Finally in section 6, key findings and their implications with regard to LISA are outlined.

    Release date: 2020-11-02

  • 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

  • Articles and reports: 89-648-X2016001
    Description:

    Linkages between survey and administrative data are an increasingly common practice, due in part to the reduced burden to respondents, and to the data that can be obtained at a relatively low cost. Historical linkage, or the linkage of administrative data from previous years to the year of the survey, compounds these benefits by providing additional years of data. This paper examines the Longitudinal and International Study of Adults (LISA), which was linked to historical tax data on personal income tax returns (T1) and those collected from employers’ files (T4), among others not mentioned in this paper. It presents trends in historical linkage rates, compares the coherence of administrative data between the T1 and T4, presents the ability to use the data to create balanced panels, and uses the T1 data to produce age-earnings profiles by sex. The results show that the historical linkage rate is high (over 90% in most cases) and stable over time for respondents who are likely to file a tax return, and that the T1 and T4 administrative sources show similar earnings. Moreover, long balanced panels of up to 30 years in length (at the time of writing) can be created using LISA administrative linkage data.

    Release date: 2016-08-18

  • Articles and reports: 89-648-X2013001
    Geography: Canada
    Description:

    In the fall of 2008, Statistics Canada, in partnership with Human Resources and Social Development Canada (HRSDC) and the Canadian academic community, put into the field the Canadian Household Panel Survey Pilot (CHPS-Pilot). This paper describes the background of the project, the steps taken in the development of the pilot survey, and the results of a series of explorations of the data collected.

    Release date: 2013-01-24
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Analysis (7)

Analysis (7) ((7 results))

  • Stats in brief: 11-001-X202231822683
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2022-11-14

  • Articles and reports: 89-648-X2022001
    Description:

    This report explores the size and nature of the attrition challenges faced by the Longitudinal and International Study of Adults (LISA) survey, as well as the use of a non-response weight adjustment and calibration strategy to mitigate the effects of attrition on the LISA estimates. The study focuses on data from waves 1 (2012) to 4 (2018) and uses practical examples based on selected demographic variables, to illustrate how attrition be assessed and treated.

    Release date: 2022-11-14

  • Articles and reports: 89-648-X2020004
    Description:

    This technical report is intended to validate the Longitudinal and International Study of Adults (LISA) Wave 4 (2018) Food Security (FSC) module and provide recommendations for analytical use. Section 2 of this report provides an overview of the LISA data. Section 3 provides some background information of food security measures in national surveys and why it is significant in today's literature. Section 4 analyzes FSC data by presenting key descriptive statistics and logic checks using LISA methodology as well as outside researcher information. In section 5, certification validation was done by comparing other Canadian national surveys that have used the FSC module to the one used by LISA. Finally in section 6, key findings and their implications with regard to LISA are outlined.

    Release date: 2020-11-02

  • 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

  • Articles and reports: 89-648-X2016001
    Description:

    Linkages between survey and administrative data are an increasingly common practice, due in part to the reduced burden to respondents, and to the data that can be obtained at a relatively low cost. Historical linkage, or the linkage of administrative data from previous years to the year of the survey, compounds these benefits by providing additional years of data. This paper examines the Longitudinal and International Study of Adults (LISA), which was linked to historical tax data on personal income tax returns (T1) and those collected from employers’ files (T4), among others not mentioned in this paper. It presents trends in historical linkage rates, compares the coherence of administrative data between the T1 and T4, presents the ability to use the data to create balanced panels, and uses the T1 data to produce age-earnings profiles by sex. The results show that the historical linkage rate is high (over 90% in most cases) and stable over time for respondents who are likely to file a tax return, and that the T1 and T4 administrative sources show similar earnings. Moreover, long balanced panels of up to 30 years in length (at the time of writing) can be created using LISA administrative linkage data.

    Release date: 2016-08-18

  • Articles and reports: 89-648-X2013001
    Geography: Canada
    Description:

    In the fall of 2008, Statistics Canada, in partnership with Human Resources and Social Development Canada (HRSDC) and the Canadian academic community, put into the field the Canadian Household Panel Survey Pilot (CHPS-Pilot). This paper describes the background of the project, the steps taken in the development of the pilot survey, and the results of a series of explorations of the data collected.

    Release date: 2013-01-24
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