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- Articles and reports: 89-648-X2022001Description:
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-X2021001Description:
This study investigates the extent to which stressful life events may increase the likelihood of food insecurity among the Canadian adult population. Data from the Wave 4 (2018) of the Longitudinal and International Study of Adults (LISA) and multivariable logistic models were used for the analyses, taking into account the complex survey design and adjusting for other socio-demographic and socio-economic variables known to be associated with food insecurity. The results show that work and health-related stressful life events significantly increase the likelihood of exposure to food insecurity. The results also show that adults who reported having two or more stressful life events were about four times more likely to experience food insecurity than those who reported zero stressful life events.
Release date: 2021-03-10 - 3. Validation of the Food Security Module in the 2018 Longitudinal and International Study of AdultsArticles and reports: 89-648-X2020004Description:
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-X2020001Description:
This study examines the relationship between work, learning, and work-integrated learning for the 2012 Canadian population that graduated between 2012 and 2016 using new data from the Longitudinal and International Study of Adults.
Release date: 2020-05-25 - Articles and reports: 89-648-X2020002Description:
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-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: 89-648-X2022001Description:
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-X2021001Description:
This study investigates the extent to which stressful life events may increase the likelihood of food insecurity among the Canadian adult population. Data from the Wave 4 (2018) of the Longitudinal and International Study of Adults (LISA) and multivariable logistic models were used for the analyses, taking into account the complex survey design and adjusting for other socio-demographic and socio-economic variables known to be associated with food insecurity. The results show that work and health-related stressful life events significantly increase the likelihood of exposure to food insecurity. The results also show that adults who reported having two or more stressful life events were about four times more likely to experience food insecurity than those who reported zero stressful life events.
Release date: 2021-03-10 - 3. Validation of the Food Security Module in the 2018 Longitudinal and International Study of AdultsArticles and reports: 89-648-X2020004Description:
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-X2020001Description:
This study examines the relationship between work, learning, and work-integrated learning for the 2012 Canadian population that graduated between 2012 and 2016 using new data from the Longitudinal and International Study of Adults.
Release date: 2020-05-25 - Articles and reports: 89-648-X2020002Description:
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-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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