Frames and coverage

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  • Articles and reports: 11-522-X20050019454
    Geography: Canada
    Description:

    The goal of the BR Redesign Project is to simplify, optimize, and harmonize its processes and methods. This paper provides an overview of the BR Redesign with emphasis on the issues that affect the methodology of business surveys.

    Release date: 2007-03-02

  • Articles and reports: 12-001-X20040027756
    Description:

    It is usually discovered in the data collection phase of a survey that some units in the sample are ineligible even if the frame information has indicated otherwise. For example, in many business surveys a nonnegligible proportion of the sampled units will have ceased trading since the latest update of the frame. This information may be fed back to the frame and used in subsequent surveys, thereby making forthcoming samples more efficient by avoiding sampling ineligible units. On the first of two survey occasions, we assume that all ineligible units in the sample (or set of samples) are detected and excluded from the frame. On the second occasion, a subsample of the eligible part is observed again. The subsample may be augmented with a fresh sample that will contain both eligible and ineligible units. We investigate what effect on survey estimation the process of feeding back information on ineligibility may have, and derive an expression for the bias that can occur as a result of feeding back. The focus is on estimation of the total using the common expansion estimator. An estimator that is nearly unbiased in the presence of feed back is obtained. This estimator relies on consistent estimates of the number of eligible and ineligible units in the population being available.

    Release date: 2005-02-03

  • Articles and reports: 12-001-X20000025531
    Description:

    Information from list and area sampling frames is combined to obtain efficient estimates of population size and totals. We consider the case where the probabilities of inclusion on the list frames are heterogeneous and are modeled as a function of covariates. We adapt and modify the methodology of Huggins (1989) and Albo (1990) for modeling auxiliary variables in capture-recapture studies using a logistic regression model. We present the results from a simulation study which compares various estimators of frame size and population totals using the logistic regression approach to modeling heterogeneous inclusion probabilities.

    Release date: 2001-02-28

  • Surveys and statistical programs – Documentation: 12-001-X19980013912
    Description:

    Efficient estimates of population size and totals based on information from multiple list frames and an independent area frame are considered. This work is an extension of the methodology proposed by Harley (1962) which considers two general frames. A main disadvantage of list frames is that they are typically incomplete. In this paper, we propose several methods to address frame deficiencies. A joint list-area sampling design incorporates multiple frames and achieves full coverage of the target population. For each combination of frames, we present the appropriate notation, likelihood function, and parameter estimators. Results from a simulation study that compares the various properties of the proposed estimators are also presented.

    Release date: 1998-07-31

  • Articles and reports: 12-001-X198800114597
    Description:

    The U.S. Bureau of the Census will use a post-enumeration survey to measure the coverage of the 1990 Decennial Census. The Census Bureau has developed and tested new procedures aimed at increasing the accuracy of the survey. This paper describes the new methods. It discusses the categories of error that occur in a post-enumeration survey and means of evaluation to determine that the results are accurate. The new methods and the evaluation of the methods are discussed in the context of a recent test post-enumeration survey.

    Release date: 1988-06-15
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  • Articles and reports: 11-522-X20050019454
    Geography: Canada
    Description:

    The goal of the BR Redesign Project is to simplify, optimize, and harmonize its processes and methods. This paper provides an overview of the BR Redesign with emphasis on the issues that affect the methodology of business surveys.

    Release date: 2007-03-02

  • Articles and reports: 12-001-X20040027756
    Description:

    It is usually discovered in the data collection phase of a survey that some units in the sample are ineligible even if the frame information has indicated otherwise. For example, in many business surveys a nonnegligible proportion of the sampled units will have ceased trading since the latest update of the frame. This information may be fed back to the frame and used in subsequent surveys, thereby making forthcoming samples more efficient by avoiding sampling ineligible units. On the first of two survey occasions, we assume that all ineligible units in the sample (or set of samples) are detected and excluded from the frame. On the second occasion, a subsample of the eligible part is observed again. The subsample may be augmented with a fresh sample that will contain both eligible and ineligible units. We investigate what effect on survey estimation the process of feeding back information on ineligibility may have, and derive an expression for the bias that can occur as a result of feeding back. The focus is on estimation of the total using the common expansion estimator. An estimator that is nearly unbiased in the presence of feed back is obtained. This estimator relies on consistent estimates of the number of eligible and ineligible units in the population being available.

    Release date: 2005-02-03

  • Articles and reports: 12-001-X20000025531
    Description:

    Information from list and area sampling frames is combined to obtain efficient estimates of population size and totals. We consider the case where the probabilities of inclusion on the list frames are heterogeneous and are modeled as a function of covariates. We adapt and modify the methodology of Huggins (1989) and Albo (1990) for modeling auxiliary variables in capture-recapture studies using a logistic regression model. We present the results from a simulation study which compares various estimators of frame size and population totals using the logistic regression approach to modeling heterogeneous inclusion probabilities.

    Release date: 2001-02-28

  • Surveys and statistical programs – Documentation: 12-001-X19980013912
    Description:

    Efficient estimates of population size and totals based on information from multiple list frames and an independent area frame are considered. This work is an extension of the methodology proposed by Harley (1962) which considers two general frames. A main disadvantage of list frames is that they are typically incomplete. In this paper, we propose several methods to address frame deficiencies. A joint list-area sampling design incorporates multiple frames and achieves full coverage of the target population. For each combination of frames, we present the appropriate notation, likelihood function, and parameter estimators. Results from a simulation study that compares the various properties of the proposed estimators are also presented.

    Release date: 1998-07-31

  • Articles and reports: 12-001-X198800114597
    Description:

    The U.S. Bureau of the Census will use a post-enumeration survey to measure the coverage of the 1990 Decennial Census. The Census Bureau has developed and tested new procedures aimed at increasing the accuracy of the survey. This paper describes the new methods. It discusses the categories of error that occur in a post-enumeration survey and means of evaluation to determine that the results are accurate. The new methods and the evaluation of the methods are discussed in the context of a recent test post-enumeration survey.

    Release date: 1988-06-15
Reference (1)

Reference (1) ((1 result))

  • Surveys and statistical programs – Documentation: 12-001-X19980013912
    Description:

    Efficient estimates of population size and totals based on information from multiple list frames and an independent area frame are considered. This work is an extension of the methodology proposed by Harley (1962) which considers two general frames. A main disadvantage of list frames is that they are typically incomplete. In this paper, we propose several methods to address frame deficiencies. A joint list-area sampling design incorporates multiple frames and achieves full coverage of the target population. For each combination of frames, we present the appropriate notation, likelihood function, and parameter estimators. Results from a simulation study that compares the various properties of the proposed estimators are also presented.

    Release date: 1998-07-31
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