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  • 1. Evaluation of reverse record check estimates of undercoverage in the Canadian Census of Population Archived
    Articles and reports: 12-001-X198800214595
    Description:

    Estimates of undercoverage in the Canadian Census of Population have been produced for each Census since 1961, using a Reverse Record Check method. The reliability of the estimates is important to how they are used to assess the quality of the Census data and to identify significant causes of coverage error. It is also critical to the development of methods and procedures to improve coverage for future Censuses. The purpose of this paper is to identify potential sources of error in the Reverse Record Check, which should be understood and addressed, where possible, in using this method to estimate coverage error.

    Release date: 1988-12-15
  • 2. Modeling matching error and its effect on estimates of census coverage error Archived
    Articles and reports: 12-001-X198800114596
    Description:

    Dual system estimators of census undercount rely heavily on the assumption that persons in the evaluation survey can be accurately linked to the same persons in the census. Mismatches and erroneous non-matches, which are unavoidable, reduce the accuracy of the estimators. Studies have shown that the extent of the error can be so large relative to the size of census coverage error as to render the estimate unusable. In this paper, we propose a model for investigating the effect of matching error on the estimators of census undercount and illustrate its use for the 1990 census undercount evaluation program. The mean square error of the dual system estimator is derived under the proposed model and the components of MSE arising from matching error are defined and explained. Under the assumed model, the effect of matching error on the MSE of the estimator of census undercount is investigated. Finally, a methodology for employing the model for the optimal design of matching error evaluation studies will be illustrated and the form of the estimators will be given.

    Release date: 1988-06-15
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Articles and reports (2)

Articles and reports (2) ((2 results))

  • 1. Evaluation of reverse record check estimates of undercoverage in the Canadian Census of Population Archived
    Articles and reports: 12-001-X198800214595
    Description:

    Estimates of undercoverage in the Canadian Census of Population have been produced for each Census since 1961, using a Reverse Record Check method. The reliability of the estimates is important to how they are used to assess the quality of the Census data and to identify significant causes of coverage error. It is also critical to the development of methods and procedures to improve coverage for future Censuses. The purpose of this paper is to identify potential sources of error in the Reverse Record Check, which should be understood and addressed, where possible, in using this method to estimate coverage error.

    Release date: 1988-12-15
  • 2. Modeling matching error and its effect on estimates of census coverage error Archived
    Articles and reports: 12-001-X198800114596
    Description:

    Dual system estimators of census undercount rely heavily on the assumption that persons in the evaluation survey can be accurately linked to the same persons in the census. Mismatches and erroneous non-matches, which are unavoidable, reduce the accuracy of the estimators. Studies have shown that the extent of the error can be so large relative to the size of census coverage error as to render the estimate unusable. In this paper, we propose a model for investigating the effect of matching error on the estimators of census undercount and illustrate its use for the 1990 census undercount evaluation program. The mean square error of the dual system estimator is derived under the proposed model and the components of MSE arising from matching error are defined and explained. Under the assumed model, the effect of matching error on the MSE of the estimator of census undercount is investigated. Finally, a methodology for employing the model for the optimal design of matching error evaluation studies will be illustrated and the form of the estimators will be given.

    Release date: 1988-06-15
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