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All (7) ((7 results))

  • Stats in brief: 45-28-0001202000100078
    Description:

    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: 11F0019M2016381
    Description:

    Changes in health status may affect not just the individuals who experience such changes, but also their family members. For example, if the main earner in a family loses his or her ability to generate income due to a health shock, it invariably affects the financial situation of the spouse and other dependents. In addition, spouses and working-age children may themselves increase or reduce their labour supply to make up for the lost income (“added worker effect”) or care for a sick family member (“caregiver effect”). Since consumption smoothing and self-insurance occur at the household level, the financial effects of health for other family members have important policy implications. To shed light on such effects, this study analyzes how one spouse’s cancer diagnosis affects the employment and earnings of the other spouse and (before-tax) total family income using administrative data from Canada.

    Release date: 2016-07-22

  • Articles and reports: 11F0019M2014362
    Description:

    The study examines the effects of cancer on the work status and annual earnings of cancer survivors who had a strong attachment to the labour market prior to their diagnosis. The comparison group consists of similar workers never diagnosed with cancer. The study is based on a Statistics Canada linkage file that combines microdata from the 1991 Census, the Canadian Cancer Registry, mortality records and personal income tax files. The study estimates changes in the magnitude of cancer effects during the first three years following the year of the diagnosis using a large sample of cancer survivors diagnosed at ages 25 to 61. The empirical strategy combines matching and regression models to deal with observed and unobserved differences between the cancer and comparison samples, and to improve causal inference.

    Release date: 2014-09-30

  • Articles and reports: 12-001-X201000211378
    Description:

    One key to poverty alleviation or eradication in the third world is reliable information on the poor and their location, so that interventions and assistance can be effectively targeted to the neediest people. Small area estimation is one statistical technique that is used to monitor poverty and to decide on aid allocation in pursuit of the Millennium Development Goals. Elbers, Lanjouw and Lanjouw (ELL) (2003) proposed a small area estimation methodology for income-based or expenditure-based poverty measures, which is implemented by the World Bank in its poverty mapping projects via the involvement of the central statistical agencies in many third world countries, including Cambodia, Lao PDR, the Philippines, Thailand and Vietnam, and is incorporated into the World Bank software program PovMap. In this paper, the ELL methodology which consists of first modeling survey data and then applying that model to census information is presented and discussed with strong emphasis on the first phase, i.e., the fitting of regression models and on the estimated standard errors at the second phase. Other regression model fitting procedures such as the General Survey Regression (GSR) (as described in Lohr (1999) Chapter 11) and those used in existing small area estimation techniques: Pseudo-Empirical Best Linear Unbiased Prediction (Pseudo-EBLUP) approach (You and Rao 2002) and Iterative Weighted Estimating Equation (IWEE) method (You, Rao and Kovacevic 2003) are presented and compared with the ELL modeling strategy. The most significant difference between the ELL method and the other techniques is in the theoretical underpinning of the ELL model fitting procedure. An example based on the Philippines Family Income and Expenditure Survey is presented to show the differences in both the parameter estimates and their corresponding standard errors, and in the variance components generated from the different methods and the discussion is extended to the effect of these on the estimated accuracy of the final small area estimates themselves. The need for sound estimation of variance components, as well as regression estimates and estimates of their standard errors for small area estimation of poverty is emphasized.

    Release date: 2010-12-21

  • Articles and reports: 11-522-X200800010996
    Description:

    In recent years, the use of paradata has become increasingly important to the management of collection activities at Statistics Canada. Particular attention has been paid to social surveys conducted over the phone, like the Survey of Labour and Income Dynamics (SLID). For recent SLID data collections, the number of call attempts was capped at 40 calls. Investigations of the SLID Blaise Transaction History (BTH) files were undertaken to assess the impact of the cap on calls.The purpose of the first study was to inform decisions as to the capping of call attempts, the second study focused on the nature of nonresponse given the limit of 40 attempts.

    The use of paradata as auxiliary information for studying and accounting for survey nonresponse was also examined. Nonresponse adjustment models using different paradata variables gathered at the collection stage were compared to the current models based on available auxiliary information from the Labour Force Survey.

    Release date: 2009-12-03

  • Articles and reports: 11F0019M2004230
    Geography: Canada
    Description:

    This study explores the labour market performance of low and high educated couples using Census data for the period 1980 to 2000.

    Release date: 2004-10-13

  • Articles and reports: 11F0019M2002184
    Geography: Canada
    Description:

    This paper examines the Canadian labour market during the 1990s and contrasts it to prior decades, with a special focus on distributional outcomes. It discusses changes in relative earnings between groups, changes in relative labour market outcomes of women and older workers, changes in earnings and income inequality, and changes in low-income.

    Release date: 2002-03-01
Stats in brief (1)

Stats in brief (1) ((1 result))

  • Stats in brief: 45-28-0001202000100078
    Description:

    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 (6)

Articles and reports (6) ((6 results))

  • Articles and reports: 11F0019M2016381
    Description:

    Changes in health status may affect not just the individuals who experience such changes, but also their family members. For example, if the main earner in a family loses his or her ability to generate income due to a health shock, it invariably affects the financial situation of the spouse and other dependents. In addition, spouses and working-age children may themselves increase or reduce their labour supply to make up for the lost income (“added worker effect”) or care for a sick family member (“caregiver effect”). Since consumption smoothing and self-insurance occur at the household level, the financial effects of health for other family members have important policy implications. To shed light on such effects, this study analyzes how one spouse’s cancer diagnosis affects the employment and earnings of the other spouse and (before-tax) total family income using administrative data from Canada.

    Release date: 2016-07-22

  • Articles and reports: 11F0019M2014362
    Description:

    The study examines the effects of cancer on the work status and annual earnings of cancer survivors who had a strong attachment to the labour market prior to their diagnosis. The comparison group consists of similar workers never diagnosed with cancer. The study is based on a Statistics Canada linkage file that combines microdata from the 1991 Census, the Canadian Cancer Registry, mortality records and personal income tax files. The study estimates changes in the magnitude of cancer effects during the first three years following the year of the diagnosis using a large sample of cancer survivors diagnosed at ages 25 to 61. The empirical strategy combines matching and regression models to deal with observed and unobserved differences between the cancer and comparison samples, and to improve causal inference.

    Release date: 2014-09-30

  • Articles and reports: 12-001-X201000211378
    Description:

    One key to poverty alleviation or eradication in the third world is reliable information on the poor and their location, so that interventions and assistance can be effectively targeted to the neediest people. Small area estimation is one statistical technique that is used to monitor poverty and to decide on aid allocation in pursuit of the Millennium Development Goals. Elbers, Lanjouw and Lanjouw (ELL) (2003) proposed a small area estimation methodology for income-based or expenditure-based poverty measures, which is implemented by the World Bank in its poverty mapping projects via the involvement of the central statistical agencies in many third world countries, including Cambodia, Lao PDR, the Philippines, Thailand and Vietnam, and is incorporated into the World Bank software program PovMap. In this paper, the ELL methodology which consists of first modeling survey data and then applying that model to census information is presented and discussed with strong emphasis on the first phase, i.e., the fitting of regression models and on the estimated standard errors at the second phase. Other regression model fitting procedures such as the General Survey Regression (GSR) (as described in Lohr (1999) Chapter 11) and those used in existing small area estimation techniques: Pseudo-Empirical Best Linear Unbiased Prediction (Pseudo-EBLUP) approach (You and Rao 2002) and Iterative Weighted Estimating Equation (IWEE) method (You, Rao and Kovacevic 2003) are presented and compared with the ELL modeling strategy. The most significant difference between the ELL method and the other techniques is in the theoretical underpinning of the ELL model fitting procedure. An example based on the Philippines Family Income and Expenditure Survey is presented to show the differences in both the parameter estimates and their corresponding standard errors, and in the variance components generated from the different methods and the discussion is extended to the effect of these on the estimated accuracy of the final small area estimates themselves. The need for sound estimation of variance components, as well as regression estimates and estimates of their standard errors for small area estimation of poverty is emphasized.

    Release date: 2010-12-21

  • Articles and reports: 11-522-X200800010996
    Description:

    In recent years, the use of paradata has become increasingly important to the management of collection activities at Statistics Canada. Particular attention has been paid to social surveys conducted over the phone, like the Survey of Labour and Income Dynamics (SLID). For recent SLID data collections, the number of call attempts was capped at 40 calls. Investigations of the SLID Blaise Transaction History (BTH) files were undertaken to assess the impact of the cap on calls.The purpose of the first study was to inform decisions as to the capping of call attempts, the second study focused on the nature of nonresponse given the limit of 40 attempts.

    The use of paradata as auxiliary information for studying and accounting for survey nonresponse was also examined. Nonresponse adjustment models using different paradata variables gathered at the collection stage were compared to the current models based on available auxiliary information from the Labour Force Survey.

    Release date: 2009-12-03

  • Articles and reports: 11F0019M2004230
    Geography: Canada
    Description:

    This study explores the labour market performance of low and high educated couples using Census data for the period 1980 to 2000.

    Release date: 2004-10-13

  • Articles and reports: 11F0019M2002184
    Geography: Canada
    Description:

    This paper examines the Canadian labour market during the 1990s and contrasts it to prior decades, with a special focus on distributional outcomes. It discusses changes in relative earnings between groups, changes in relative labour market outcomes of women and older workers, changes in earnings and income inequality, and changes in low-income.

    Release date: 2002-03-01
Journals and periodicals (0)

Journals and periodicals (0) (0 results)

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