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  • 1. Closing remarks of the Symposium 2002: Modelling Survey Data for Social and Economic Research Archived
    Articles and reports: 11-522-X20020016751
    Description:

    Closing remarks

    Release date: 2004-09-13
  • 2. Domain estimation using linear regression Archived
    Articles and reports: 12-001-X20040016995
    Description:

    One of the main objectives of a sample survey is the computation of estimates of means and totals for specific domains of interest. Domains are determined either before the survey is carried out (primary domains) or after it has been carried out (secondary domains). The reliability of the associated estimates depends on the variability of the sample size as well as on the y-variables of interest. This variability cannot be controlled in the absence of auxiliary information for subgroups of the population. However, if auxiliary information is available, the estimated reliability of the resulting estimates can be controlled to some extent. In this paper, we study the potential improvements in terms of the reliability of domain estimates that use auxiliary information. The properties (bias, coverage, efficiency) of various estimators that use auxiliary information are compared using a conditional approach.

    Release date: 2004-07-14
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Articles and reports (2)

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

  • 1. Closing remarks of the Symposium 2002: Modelling Survey Data for Social and Economic Research Archived
    Articles and reports: 11-522-X20020016751
    Description:

    Closing remarks

    Release date: 2004-09-13
  • 2. Domain estimation using linear regression Archived
    Articles and reports: 12-001-X20040016995
    Description:

    One of the main objectives of a sample survey is the computation of estimates of means and totals for specific domains of interest. Domains are determined either before the survey is carried out (primary domains) or after it has been carried out (secondary domains). The reliability of the associated estimates depends on the variability of the sample size as well as on the y-variables of interest. This variability cannot be controlled in the absence of auxiliary information for subgroups of the population. However, if auxiliary information is available, the estimated reliability of the resulting estimates can be controlled to some extent. In this paper, we study the potential improvements in terms of the reliability of domain estimates that use auxiliary information. The properties (bias, coverage, efficiency) of various estimators that use auxiliary information are compared using a conditional approach.

    Release date: 2004-07-14
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