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  • 1. Measuring the undercoverage of two data sources with a nearly perfect coverage through capture and recapture in the presence of linkage errors Archived
    Articles and reports: 11-522-X202100100006
    Description:

    In the context of its "admin-first" paradigm, Statistics Canada is prioritizing the use of non-survey sources to produce official statistics. This paradigm critically relies on non-survey sources that may have a nearly perfect coverage of some target populations, including administrative files or big data sources. Yet, this coverage must be measured, e.g., by applying the capture-recapture method, where they are compared to other sources with good coverage of the same populations, including a census. However, this is a challenging exercise in the presence of linkage errors, which arise inevitably when the linkage is based on quasi-identifiers, as is typically the case. To address the issue, a new methodology is described where the capture-recapture method is enhanced with a new error model that is based on the number of links adjacent to a given record. It is applied in an experiment with public census data.

    Key Words: dual system estimation, data matching, record linkage, quality, data integration, big data.

    Release date: 2021-10-22
  • 2. The 2021 Revisions of the Labour Force Survey (LFS) Archived
    Surveys and statistical programs – Documentation: 71F0031X2021001
    Description:

    This paper introduces and explains modifications made to the Labour Force Survey estimates in January 2021. Some of these modifications include the adjustment of all LFS estimates to reflect population counts based on the 2016 Census and includes updates to 2016 Geography classification system.

    Release date: 2021-01-25
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  • 1. Measuring the undercoverage of two data sources with a nearly perfect coverage through capture and recapture in the presence of linkage errors Archived
    Articles and reports: 11-522-X202100100006
    Description:

    In the context of its "admin-first" paradigm, Statistics Canada is prioritizing the use of non-survey sources to produce official statistics. This paradigm critically relies on non-survey sources that may have a nearly perfect coverage of some target populations, including administrative files or big data sources. Yet, this coverage must be measured, e.g., by applying the capture-recapture method, where they are compared to other sources with good coverage of the same populations, including a census. However, this is a challenging exercise in the presence of linkage errors, which arise inevitably when the linkage is based on quasi-identifiers, as is typically the case. To address the issue, a new methodology is described where the capture-recapture method is enhanced with a new error model that is based on the number of links adjacent to a given record. It is applied in an experiment with public census data.

    Key Words: dual system estimation, data matching, record linkage, quality, data integration, big data.

    Release date: 2021-10-22
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  • 1. The 2021 Revisions of the Labour Force Survey (LFS) Archived
    Surveys and statistical programs – Documentation: 71F0031X2021001
    Description:

    This paper introduces and explains modifications made to the Labour Force Survey estimates in January 2021. Some of these modifications include the adjustment of all LFS estimates to reflect population counts based on the 2016 Census and includes updates to 2016 Geography classification system.

    Release date: 2021-01-25

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