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  • 1. Hot deck imputation for the response model Archived
    Articles and reports: 11-522-X20010016275
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    Hot deck imputation, in which missing items are replaced with values from respondents, is often used in survey sampling. A model supporting such procedures is the model in which response probabilities are assumed equal within imputation cells. In this paper, an efficient version of hot deck imputation is described, as are the variance of the efficient version derived under the cell response model and an approximation to the fully efficient procedure in which a small number of values are imputed for each non-respondent, respectively. Variance estimation procedures are presented and illustrated in a Monte Carlo study.

    Release date: 2002-09-12
  • 2. An Overview of the Issues Related to the Use of Personal Identifiers Archived
    Surveys and statistical programs – Documentation: 85-602-X
    Description:

    The purpose of this report is to provide an overview of existing methods and techniques making use of personal identifiers to support record linkage. Record linkage can be loosely defined as a methodology for manipulating and / or transforming personal identifiers from individual data records from one or more operational databases and subsequently attempting to match these personal identifiers to create a composite record about an individual. Record linkage is not intended to uniquely identify individuals for operational purposes; however, it does provide probabilistic matches of varying degrees of reliability for use in statistical reporting. Techniques employed in record linkage may also be of use for investigative purposes to help narrow the field of search against existing databases when some form of personal identification information exists.

    Release date: 2000-12-05
  • 3. Impact of Edit and Imputation on Income Estimates: A Case Study Archived
    Surveys and statistical programs – Documentation: 75F0002M1998012
    Description:

    This paper looks at the work of the task force responsible for reviewing Statistics Canada's household and family income statistics programs, and at one of associated program changes, namely, the integration of two major sources of annual income data in Canada, the Survey of Consumer Finances (SCF) and the Survey of Labour and Income Dynamics (SLID).

    Release date: 1998-12-30
  • 4. Survey of Labour and Income Dynamics: Processing Strategy for Wave 1 Income Data Archived
    Surveys and statistical programs – Documentation: 75F0002M1997006
    Description:

    This report documents the edit and imputation approach taken in processing Wave 1 income data from the Survey of Labour and Income Dynamics (SLID).

    Release date: 1997-12-31
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  • 1. Hot deck imputation for the response model Archived
    Articles and reports: 11-522-X20010016275
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    Hot deck imputation, in which missing items are replaced with values from respondents, is often used in survey sampling. A model supporting such procedures is the model in which response probabilities are assumed equal within imputation cells. In this paper, an efficient version of hot deck imputation is described, as are the variance of the efficient version derived under the cell response model and an approximation to the fully efficient procedure in which a small number of values are imputed for each non-respondent, respectively. Variance estimation procedures are presented and illustrated in a Monte Carlo study.

    Release date: 2002-09-12
Reference (3)

Reference (3) ((3 results))

  • 1. An Overview of the Issues Related to the Use of Personal Identifiers Archived
    Surveys and statistical programs – Documentation: 85-602-X
    Description:

    The purpose of this report is to provide an overview of existing methods and techniques making use of personal identifiers to support record linkage. Record linkage can be loosely defined as a methodology for manipulating and / or transforming personal identifiers from individual data records from one or more operational databases and subsequently attempting to match these personal identifiers to create a composite record about an individual. Record linkage is not intended to uniquely identify individuals for operational purposes; however, it does provide probabilistic matches of varying degrees of reliability for use in statistical reporting. Techniques employed in record linkage may also be of use for investigative purposes to help narrow the field of search against existing databases when some form of personal identification information exists.

    Release date: 2000-12-05
  • 2. Impact of Edit and Imputation on Income Estimates: A Case Study Archived
    Surveys and statistical programs – Documentation: 75F0002M1998012
    Description:

    This paper looks at the work of the task force responsible for reviewing Statistics Canada's household and family income statistics programs, and at one of associated program changes, namely, the integration of two major sources of annual income data in Canada, the Survey of Consumer Finances (SCF) and the Survey of Labour and Income Dynamics (SLID).

    Release date: 1998-12-30
  • 3. Survey of Labour and Income Dynamics: Processing Strategy for Wave 1 Income Data Archived
    Surveys and statistical programs – Documentation: 75F0002M1997006
    Description:

    This report documents the edit and imputation approach taken in processing Wave 1 income data from the Survey of Labour and Income Dynamics (SLID).

    Release date: 1997-12-31
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