Quality assurance

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All (3) ((3 results))

  • Articles and reports: 75F0002M1998014
    Description:

    This paper compares hours worked obtained from two different surveys: the Survey of Labour and Income Dynamics (SLID) and the Labour Force Survey (LFS) in order to evaluate the quality of the data from each survey.

    Release date: 1998-12-30

  • Articles and reports: 89-553-X19980014027
    Geography: Canada
    Description:

    I examine three questions in this paper : 1. Does existing knowledge about intergenerational transfers, both public and private, provide the basis for effective policy choices? What is missing? What is needed, in particular by Canada's statistical system? 2. With an aging society, rapidly shifting labour markets, and shrinking social transfers in Canada, is a new generational compact emerging? and 3. What are the roles of differing models of inter-generational transfers, indeed of the demo-graphic concept of generation itself, in defining the field of policy options for Canadians in the late 1990s? In addressing these questions, I rely on analyses and a framework developed in McDaniel (1997).

    Release date: 1998-11-05

  • Articles and reports: 91F0015M1998005
    Geography: Canada
    Description:

    All countries that organize censuses have concerns about data quality and coverage error. Different methods have been developed in evaluating the quality of census data and census undercount. Some methods make use of information independent of the census itself, while some others are designed to check the internal consistency of the data. These are expensive and complicated operations.

    Given that the population in each country is organized differently and that the administrative structures differ from one country to another, no universal method can be applied. In order to compare the methods and identify their strengths and gaps, Demography Division of Statistics Canada has reviewed the procedures used in four industrialized countries: the United States, the United Kingdom, Australia and, of course, Canada. It appears from this review that demographic analysis can help considerably in the identification of inconsistencies through comparisons of consecutive censuses, while micro-level record linkage and survey based procedures are essential in order to estimate the number of people omitted or counted twice in census collection. The most important conclusion from this review is that demographers and statisticians have to work together in order to evaluate the figures the accuracy of which will always remain questionable.

    Release date: 1998-03-27
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Analysis (3)

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  • Articles and reports: 75F0002M1998014
    Description:

    This paper compares hours worked obtained from two different surveys: the Survey of Labour and Income Dynamics (SLID) and the Labour Force Survey (LFS) in order to evaluate the quality of the data from each survey.

    Release date: 1998-12-30

  • Articles and reports: 89-553-X19980014027
    Geography: Canada
    Description:

    I examine three questions in this paper : 1. Does existing knowledge about intergenerational transfers, both public and private, provide the basis for effective policy choices? What is missing? What is needed, in particular by Canada's statistical system? 2. With an aging society, rapidly shifting labour markets, and shrinking social transfers in Canada, is a new generational compact emerging? and 3. What are the roles of differing models of inter-generational transfers, indeed of the demo-graphic concept of generation itself, in defining the field of policy options for Canadians in the late 1990s? In addressing these questions, I rely on analyses and a framework developed in McDaniel (1997).

    Release date: 1998-11-05

  • Articles and reports: 91F0015M1998005
    Geography: Canada
    Description:

    All countries that organize censuses have concerns about data quality and coverage error. Different methods have been developed in evaluating the quality of census data and census undercount. Some methods make use of information independent of the census itself, while some others are designed to check the internal consistency of the data. These are expensive and complicated operations.

    Given that the population in each country is organized differently and that the administrative structures differ from one country to another, no universal method can be applied. In order to compare the methods and identify their strengths and gaps, Demography Division of Statistics Canada has reviewed the procedures used in four industrialized countries: the United States, the United Kingdom, Australia and, of course, Canada. It appears from this review that demographic analysis can help considerably in the identification of inconsistencies through comparisons of consecutive censuses, while micro-level record linkage and survey based procedures are essential in order to estimate the number of people omitted or counted twice in census collection. The most important conclusion from this review is that demographers and statisticians have to work together in order to evaluate the figures the accuracy of which will always remain questionable.

    Release date: 1998-03-27
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