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  • Articles and reports: 12-001-X202300200017
    Description: Jean-Claude Deville, who passed away in October 2021, was one of the most influential researchers in the field of survey statistics over the past 40 years. This article traces some of his contributions that have had a profound impact on both survey theory and practice. This article will cover the topics of balanced sampling using the cube method, calibration, the weight-sharing method, the development of variance expressions of complex estimators using influence function and quota sampling.
    Release date: 2024-01-03

  • Articles and reports: 12-001-X200700210490
    Description:

    The European Union's Statistics on Income and Living Conditions (SILC) survey was introduced in 2004 as a replacement for the European Panel. It produces annual statistics on income distribution, poverty and social exclusion. First conducted in France in May 2004, it is a longitudinal survey of all individuals over the age of 15 in 16,000 dwellings selected from the master sample and the new-housing sample frame. All respondents are tracked over time, even when they move to a different dwelling. The survey also has to produce cross-sectional estimates of good quality.

    To limit the response burden, the sample design recommended by Eurostat is a rotation scheme consisting of four panels that remain in the sample for four years, with one panel replaced each year. France, however, decided to increase the panel duration to nine years. The rotating sample design meets the survey's longitudinal and cross-sectional requirements, but it presents some weighting challenges.

    Following a review of the inference context of a longitudinal survey, the paper discusses the longitudinal and cross-sectional weighting, which are designed to produce approximately unbiased estimators.

    Release date: 2008-01-03

  • Articles and reports: 11-522-X20030017594
    Description:

    This article describes the European Survey on Income and Living Conditions (SILC), which will replace the European Panel beginning in 2004. It also looks at the use of the weight share method in the longitudinal and cross-sectional weightings of the SILC.

    Release date: 2005-01-26

  • Articles and reports: 11-522-X20030017704
    Description:

    This paper describes the method used to weight France's Construction des identités Survey. The system involved overlapping survey frames and had problems randomly selecting some individuals.

    Release date: 2005-01-26

  • 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
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Articles and reports (5)

Articles and reports (5) ((5 results))

  • Articles and reports: 12-001-X202300200017
    Description: Jean-Claude Deville, who passed away in October 2021, was one of the most influential researchers in the field of survey statistics over the past 40 years. This article traces some of his contributions that have had a profound impact on both survey theory and practice. This article will cover the topics of balanced sampling using the cube method, calibration, the weight-sharing method, the development of variance expressions of complex estimators using influence function and quota sampling.
    Release date: 2024-01-03

  • Articles and reports: 12-001-X200700210490
    Description:

    The European Union's Statistics on Income and Living Conditions (SILC) survey was introduced in 2004 as a replacement for the European Panel. It produces annual statistics on income distribution, poverty and social exclusion. First conducted in France in May 2004, it is a longitudinal survey of all individuals over the age of 15 in 16,000 dwellings selected from the master sample and the new-housing sample frame. All respondents are tracked over time, even when they move to a different dwelling. The survey also has to produce cross-sectional estimates of good quality.

    To limit the response burden, the sample design recommended by Eurostat is a rotation scheme consisting of four panels that remain in the sample for four years, with one panel replaced each year. France, however, decided to increase the panel duration to nine years. The rotating sample design meets the survey's longitudinal and cross-sectional requirements, but it presents some weighting challenges.

    Following a review of the inference context of a longitudinal survey, the paper discusses the longitudinal and cross-sectional weighting, which are designed to produce approximately unbiased estimators.

    Release date: 2008-01-03

  • Articles and reports: 11-522-X20030017594
    Description:

    This article describes the European Survey on Income and Living Conditions (SILC), which will replace the European Panel beginning in 2004. It also looks at the use of the weight share method in the longitudinal and cross-sectional weightings of the SILC.

    Release date: 2005-01-26

  • Articles and reports: 11-522-X20030017704
    Description:

    This paper describes the method used to weight France's Construction des identités Survey. The system involved overlapping survey frames and had problems randomly selecting some individuals.

    Release date: 2005-01-26

  • 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
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