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  • Articles and reports: 11F0019M2013351
    Geography: Canada
    Description:

    Measures of subjective well-being are increasingly prominent in international policy discussions about how best to measure "societal progress" and the well-being of national populations. This has implications for national statistical offices, as calls have been made for them to include measures of subjective well-being in their household surveys (Organization for Economic Cooperation and Development 2013). Statistics Canada has included measures of subjective well-being - particularly life satisfaction - in its surveys for twenty-five years, although the wording of these questions and the response categories have evolved over time. Statistics Canada's General Social Survey (GSS) and Canadian Community Health Survey (CCHS) offer a valuable opportunity to examine the stability of life satisfaction responses and their correlates from year to year using a consistent analytical framework.

    Release date: 2013-10-11

  • Articles and reports: 82-003-X201300911864
    Geography: Canada
    Description:

    This study validates cut-points for a frailty index to identify seniors at risk of a hospital-related event and estimates the number of frail seniors living in the community.

    Release date: 2013-09-18

  • Articles and reports: 12-001-X201300111830
    Description:

    We consider two different self-benchmarking methods for the estimation of small area means based on the Fay-Herriot (FH) area level model: the method of You and Rao (2002) applied to the FH model and the method of Wang, Fuller and Qu (2008) based on augmented models. We derive an estimator of the mean squared prediction error (MSPE) of the You-Rao (YR) estimator of a small area mean that, under the true model, is correct to second-order terms. We report the results of a simulation study on the relative bias of the MSPE estimator of the YR estimator and the MSPE estimator of the Wang, Fuller and Qu (WFQ) estimator obtained under an augmented model. We also study the MSPE and the estimators of MSPE for the YR and WFQ estimators obtained under a misspecified model.

    Release date: 2013-06-28

  • Articles and reports: 89-648-X2013002
    Geography: Canada
    Description:

    Data matching is a common practice used to reduce the response burden of respondents and to improve the quality of the information collected from respondents when the linkage method does not introduce bias. However, historical linkage, which consists in linking external records from previous years to the year of the initial wave of a survey, is relatively rare and, until now, had not been used at Statistics Canada. The present paper describes the method used to link the records from the Living in Canada Survey pilot to historical tax data on income and labour (T1 and T4 files). It presents the evolution of the linkage rate going back over time and compares earnings data collected from personal income tax returns with those collected from employers file. To illustrate the new possibilities of analysis offered by this type of linkage, the study concludes with an earnings profile by age and sex for different cohorts based on year of birth.

    Release date: 2013-01-24
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Articles and reports (4)

Articles and reports (4) ((4 results))

  • Articles and reports: 11F0019M2013351
    Geography: Canada
    Description:

    Measures of subjective well-being are increasingly prominent in international policy discussions about how best to measure "societal progress" and the well-being of national populations. This has implications for national statistical offices, as calls have been made for them to include measures of subjective well-being in their household surveys (Organization for Economic Cooperation and Development 2013). Statistics Canada has included measures of subjective well-being - particularly life satisfaction - in its surveys for twenty-five years, although the wording of these questions and the response categories have evolved over time. Statistics Canada's General Social Survey (GSS) and Canadian Community Health Survey (CCHS) offer a valuable opportunity to examine the stability of life satisfaction responses and their correlates from year to year using a consistent analytical framework.

    Release date: 2013-10-11

  • Articles and reports: 82-003-X201300911864
    Geography: Canada
    Description:

    This study validates cut-points for a frailty index to identify seniors at risk of a hospital-related event and estimates the number of frail seniors living in the community.

    Release date: 2013-09-18

  • Articles and reports: 12-001-X201300111830
    Description:

    We consider two different self-benchmarking methods for the estimation of small area means based on the Fay-Herriot (FH) area level model: the method of You and Rao (2002) applied to the FH model and the method of Wang, Fuller and Qu (2008) based on augmented models. We derive an estimator of the mean squared prediction error (MSPE) of the You-Rao (YR) estimator of a small area mean that, under the true model, is correct to second-order terms. We report the results of a simulation study on the relative bias of the MSPE estimator of the YR estimator and the MSPE estimator of the Wang, Fuller and Qu (WFQ) estimator obtained under an augmented model. We also study the MSPE and the estimators of MSPE for the YR and WFQ estimators obtained under a misspecified model.

    Release date: 2013-06-28

  • Articles and reports: 89-648-X2013002
    Geography: Canada
    Description:

    Data matching is a common practice used to reduce the response burden of respondents and to improve the quality of the information collected from respondents when the linkage method does not introduce bias. However, historical linkage, which consists in linking external records from previous years to the year of the initial wave of a survey, is relatively rare and, until now, had not been used at Statistics Canada. The present paper describes the method used to link the records from the Living in Canada Survey pilot to historical tax data on income and labour (T1 and T4 files). It presents the evolution of the linkage rate going back over time and compares earnings data collected from personal income tax returns with those collected from employers file. To illustrate the new possibilities of analysis offered by this type of linkage, the study concludes with an earnings profile by age and sex for different cohorts based on year of birth.

    Release date: 2013-01-24
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