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  • 1. Estimating a monthly index based on trimestrial data Archived
    Articles and reports: 12-001-X198600214445
    Description:

    A problem of estimating monthly movements in rents based on data collected every four months is explored. Five alternative composite estimators of the rent index are presented and justified, both from an intuitive as well as theoretical point of view. An empirical study testing and comparing the proposed methods is described and summarized. Recommendations are put forth.

    Release date: 1986-12-15
  • 2. Nonresponse adjustment procedures at the U.S. Bureau of the Census Archived
    Articles and reports: 12-001-X198600214449
    Description:

    Nearly all surveys and censuses are subject to two types of nonresponse: unit (total) and item (partial). Several methods of compensating for nonresponse have been developed in an attempt to reduce the bias associated with nonresponse. This paper summarizes the nonresponse adjustment procedures used at the U.S. Census Bureau, focusing on unit nonresponse. Some discussion of current and future research in this area is also included.

    Release date: 1986-12-15
  • 3. The treatment of missing survey data Archived
    Articles and reports: 12-001-X198600114404
    Description:

    Missing survey data occur because of total nonresponse and item nonresponse. The standard way to attempt to compensate for total nonresponse is by some form of weighting adjustment, whereas item nonresponses are handled by some form of imputation. This paper reviews methods of weighting adjustment and imputation and discusses their properties.

    Release date: 1986-06-16
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Articles and reports (3)

Articles and reports (3) ((3 results))

  • 1. Estimating a monthly index based on trimestrial data Archived
    Articles and reports: 12-001-X198600214445
    Description:

    A problem of estimating monthly movements in rents based on data collected every four months is explored. Five alternative composite estimators of the rent index are presented and justified, both from an intuitive as well as theoretical point of view. An empirical study testing and comparing the proposed methods is described and summarized. Recommendations are put forth.

    Release date: 1986-12-15
  • 2. Nonresponse adjustment procedures at the U.S. Bureau of the Census Archived
    Articles and reports: 12-001-X198600214449
    Description:

    Nearly all surveys and censuses are subject to two types of nonresponse: unit (total) and item (partial). Several methods of compensating for nonresponse have been developed in an attempt to reduce the bias associated with nonresponse. This paper summarizes the nonresponse adjustment procedures used at the U.S. Census Bureau, focusing on unit nonresponse. Some discussion of current and future research in this area is also included.

    Release date: 1986-12-15
  • 3. The treatment of missing survey data Archived
    Articles and reports: 12-001-X198600114404
    Description:

    Missing survey data occur because of total nonresponse and item nonresponse. The standard way to attempt to compensate for total nonresponse is by some form of weighting adjustment, whereas item nonresponses are handled by some form of imputation. This paper reviews methods of weighting adjustment and imputation and discusses their properties.

    Release date: 1986-06-16
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