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  • 1. Improving the quality of estimates for a low-income population: Use of a dual frame in the survey of household spending Archived
    Articles and reports: 11-522-X20040018753
    Description:

    For the estimation of low-income households, a supplementary sample is selected within a limited number of geographic areas. This paper presents the dual sample design used, along with scenarios considered and some findings that led to the choices made.

    Release date: 2005-10-27
  • 2. Preparing for retirement Archived
    Articles and reports: 11-008-X20050028452
    Geography: Canada
    Description:

    Settling into retirement involves changes in many aspects of a person's life. Certainly financial adjustments are involved as employment income is replaced by retirement income and spending patterns are altered. People often find they have to make psychological and social adjustments as well. In light of these substantial transformations in lifestyle, retirement counsellors are increasingly encouraging older workers to prepare just as carefully for the non-financial as the financial challenges of retirement. This article draws on the 2002 General Social Survey (GSS) to examine four specific non-financial preparations made prior to leaving the labour force by Canadians who had retired in the previous 10 years (1992 to 2002).

    Release date: 2005-09-13
  • 3. 2001 Food Expenditure Survey, Data Quality Indicators Archived
    Articles and reports: 62F0026M2005003
    Description:

    The Food Expenditure Survey (FES) is a periodic survey collecting data from households on food spending habits. Data are collected mainly using weekly diaries of purchases that the respondents must fill in daily during two consecutive weeks.

    The FES, like all surveys, is subject to error despite all the precautions taken at the various stages of the survey to control them. Although there is no exhaustive measure of a survey's data quality, certain quality measures taken at various stages of the survey can provide the user with relevant information to ensure sound data interpretation.

    This paper presents, for the 2001 FES, the following quality indicators the coefficients of variation, the non-response rates, the vacancy rates, the slippage rates, the imputation rates as well the impacts of imputation on the estimates.

    Release date: 2005-07-08
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Articles and reports (3)

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

  • 1. Improving the quality of estimates for a low-income population: Use of a dual frame in the survey of household spending Archived
    Articles and reports: 11-522-X20040018753
    Description:

    For the estimation of low-income households, a supplementary sample is selected within a limited number of geographic areas. This paper presents the dual sample design used, along with scenarios considered and some findings that led to the choices made.

    Release date: 2005-10-27
  • 2. Preparing for retirement Archived
    Articles and reports: 11-008-X20050028452
    Geography: Canada
    Description:

    Settling into retirement involves changes in many aspects of a person's life. Certainly financial adjustments are involved as employment income is replaced by retirement income and spending patterns are altered. People often find they have to make psychological and social adjustments as well. In light of these substantial transformations in lifestyle, retirement counsellors are increasingly encouraging older workers to prepare just as carefully for the non-financial as the financial challenges of retirement. This article draws on the 2002 General Social Survey (GSS) to examine four specific non-financial preparations made prior to leaving the labour force by Canadians who had retired in the previous 10 years (1992 to 2002).

    Release date: 2005-09-13
  • 3. 2001 Food Expenditure Survey, Data Quality Indicators Archived
    Articles and reports: 62F0026M2005003
    Description:

    The Food Expenditure Survey (FES) is a periodic survey collecting data from households on food spending habits. Data are collected mainly using weekly diaries of purchases that the respondents must fill in daily during two consecutive weeks.

    The FES, like all surveys, is subject to error despite all the precautions taken at the various stages of the survey to control them. Although there is no exhaustive measure of a survey's data quality, certain quality measures taken at various stages of the survey can provide the user with relevant information to ensure sound data interpretation.

    This paper presents, for the 2001 FES, the following quality indicators the coefficients of variation, the non-response rates, the vacancy rates, the slippage rates, the imputation rates as well the impacts of imputation on the estimates.

    Release date: 2005-07-08
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