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  • 1. Sampling and weighting a survey of homeless persons: A French example Archived
    Articles and reports: 12-001-X20010015859
    Description:

    In 2001, the INSEE conducted a survey to better understand the homeless population. Since there was no survey frame to allow direct access to homeless persons, the survey principle involved sampling the services they received and questioning the individuals who used those services. Weighting the individual input to the survey proved difficult because a single individual could receive several services within the designated reference period. This article shows how it is possible to apply the weight sharing method to resolve this problem. In this type of survey, a single variable can produce several parameters of interest corresponding to populations varying with time. A set of weights corresponds to each definition of parameters. The article focuses, in particular, on "an average day" and "an average week" weight calculation. Information is also provided on the use data to be collected and the nonresponse adjustment.

    Release date: 2001-08-22
  • 2. Entry Exit Component for Income Interview: May 2000, Survey of Labour and Income Dynamics Archived
    Surveys and statistical programs – Documentation: 75F0002M2000012
    Description:

    This document presents the information for the new entry exit portion of the Survey of Labour and Income Dynamics (SLID) income interview.

    Release date: 2001-03-27
  • 3. Double sampling for ratio and regression estimation with sub-sampling the non-respondents Archived
    Articles and reports: 12-001-X20000025538
    Description:

    Cochran (1977, p.374) proposed some ratio and regression estimators of the population mean using the Hansen and Hurwitz (1946) procedure of sub-sampling the non-respondents assuming that the population mean of the auxiliary character is known. For the case where the population mean of the auxiliary character is not known in advance, some double (two-phase) sampling ratio and regression estimators are presented in this article. The relative performances of the proposed estimators are compared with the estimator proposed by Hansen and Hurwitz (1946).

    Release date: 2001-02-28
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  • 1. Sampling and weighting a survey of homeless persons: A French example Archived
    Articles and reports: 12-001-X20010015859
    Description:

    In 2001, the INSEE conducted a survey to better understand the homeless population. Since there was no survey frame to allow direct access to homeless persons, the survey principle involved sampling the services they received and questioning the individuals who used those services. Weighting the individual input to the survey proved difficult because a single individual could receive several services within the designated reference period. This article shows how it is possible to apply the weight sharing method to resolve this problem. In this type of survey, a single variable can produce several parameters of interest corresponding to populations varying with time. A set of weights corresponds to each definition of parameters. The article focuses, in particular, on "an average day" and "an average week" weight calculation. Information is also provided on the use data to be collected and the nonresponse adjustment.

    Release date: 2001-08-22
  • 2. Double sampling for ratio and regression estimation with sub-sampling the non-respondents Archived
    Articles and reports: 12-001-X20000025538
    Description:

    Cochran (1977, p.374) proposed some ratio and regression estimators of the population mean using the Hansen and Hurwitz (1946) procedure of sub-sampling the non-respondents assuming that the population mean of the auxiliary character is known. For the case where the population mean of the auxiliary character is not known in advance, some double (two-phase) sampling ratio and regression estimators are presented in this article. The relative performances of the proposed estimators are compared with the estimator proposed by Hansen and Hurwitz (1946).

    Release date: 2001-02-28
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