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- Articles and reports: 12-001-X199300214454Description:
This study covers such imperfect frames in which no population unit has been excluded from the frame but an unspecified number of population units may have been included in the list an unspecified number of times each with a separate identification. When the availability of auxiliary information on any unit in the imperfect frame is not assumed, it is established that for estimation of a population ratio or a mean, the mean square errors of estimators based on the imperfect frame are less than those based on the perfect frame for simple random sampling when the sampling fractions of perfect and imperfect frames are the same. For estimation of a population total, however, this is not always true. Also, there are situations in which estimators of a ratio, a mean or a total based on smaller sampling fraction from imperfect frame can have smaller mean square error than those based on a larger sampling fraction from the perfect frame.
Release date: 1993-12-15 - Articles and reports: 12-001-X199300214460Description:
Methods for estimating response bias in surveys require “unbiased” remeasurements for at least a subsample of observations. The usual estimator of response bias is the difference between the mean of the original observations and the mean of the unbiased observations. In this article, we explore a number of alternative estimators of response bias derived from a model prediction approach. The assumed sampling design is a stratified two-phase design implementing simple random sampling in each phase. We assume that the characteristic, y, is observed for each unit selected in phase 1 while the true value of the characteristic, \mu, is obtained for each unit in the subsample selected at phase 2. We further assume that an auxiliary variable x is known for each unit in the phase 1 sample and that the population total of x is known. A number of models relating y, \mu and x are assumed which yield alternative estimators of E (y - \mu), the response bias. The estimators are evaluated using a bootstrap procedure for estimating variance, bias, and mean squared error. Our bootstrap procedure is an extension of the Bickel-Freedman single phase method to the case of a stratified two-phase design. As an illustration, the methodology is applied to data from the National Agricultural Statistics Service reinterview program. For these data, we show that the usual difference estimator is outperformed by the model-assisted estimator suggested by Särndal, Swensson and Wretman (1991), thus indicating that improvements over the traditional estimator are possible using the model prediction approach.
Release date: 1993-12-15 - Articles and reports: 12-001-X199300114478Description:
Record linkage refers to the use of an algorithmic technique for identifying pairs of records in separate data files that correspond to the same individual. This paper discusses a framework for evaluating sources of variation in record linkage based on viewing the procedure as a “black box” that takes input data and produces output (a set of declared matched pairs) that has certain properties. We illustrate the idea with a factorial experiment using census/post-enumeration survey data to assess the influence of a variety of factors thought to affect the accuracy of the procedure. The evaluation of record linkage becomes a standard statistical problem using this experimental framework. The investigation provides answers to several research questions, and it is argued that taking an experimental approach similar to that offered here is essential if progress is to be made in understanding the factors that contribute to the error properties of record-linkage procedures.
Release date: 1993-06-15 - Articles and reports: 12-001-X199300114479Description:
Matching records in different administrative data bases is a useful tool for conducting epidemiological studies to study relationships between environmental hazards and health status. With large data bases, sophisticated computerized record linkage algorithms can be used to evaluate the likelihood of a match between two records based on a comparison of one or more identifying variables for those records. Since matching errors are inevitable, consideration needs to be given to the effects of such errors on statistical inferences based on the linked files. This article provides an overview of record linkage methodology, and a discussion of the statistical issues associated with linkage errors.
Release date: 1993-06-15 - 5. Diane Cohen on the new economy ArchivedArticles and reports: 75-001-X199300234Geography: CanadaDescription:
The interview discusses Canada's transition from an industrial to an information economy.
Release date: 1993-06-08
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Articles and reports (5)
Articles and reports (5) ((5 results))
- Articles and reports: 12-001-X199300214454Description:
This study covers such imperfect frames in which no population unit has been excluded from the frame but an unspecified number of population units may have been included in the list an unspecified number of times each with a separate identification. When the availability of auxiliary information on any unit in the imperfect frame is not assumed, it is established that for estimation of a population ratio or a mean, the mean square errors of estimators based on the imperfect frame are less than those based on the perfect frame for simple random sampling when the sampling fractions of perfect and imperfect frames are the same. For estimation of a population total, however, this is not always true. Also, there are situations in which estimators of a ratio, a mean or a total based on smaller sampling fraction from imperfect frame can have smaller mean square error than those based on a larger sampling fraction from the perfect frame.
Release date: 1993-12-15 - Articles and reports: 12-001-X199300214460Description:
Methods for estimating response bias in surveys require “unbiased” remeasurements for at least a subsample of observations. The usual estimator of response bias is the difference between the mean of the original observations and the mean of the unbiased observations. In this article, we explore a number of alternative estimators of response bias derived from a model prediction approach. The assumed sampling design is a stratified two-phase design implementing simple random sampling in each phase. We assume that the characteristic, y, is observed for each unit selected in phase 1 while the true value of the characteristic, \mu, is obtained for each unit in the subsample selected at phase 2. We further assume that an auxiliary variable x is known for each unit in the phase 1 sample and that the population total of x is known. A number of models relating y, \mu and x are assumed which yield alternative estimators of E (y - \mu), the response bias. The estimators are evaluated using a bootstrap procedure for estimating variance, bias, and mean squared error. Our bootstrap procedure is an extension of the Bickel-Freedman single phase method to the case of a stratified two-phase design. As an illustration, the methodology is applied to data from the National Agricultural Statistics Service reinterview program. For these data, we show that the usual difference estimator is outperformed by the model-assisted estimator suggested by Särndal, Swensson and Wretman (1991), thus indicating that improvements over the traditional estimator are possible using the model prediction approach.
Release date: 1993-12-15 - Articles and reports: 12-001-X199300114478Description:
Record linkage refers to the use of an algorithmic technique for identifying pairs of records in separate data files that correspond to the same individual. This paper discusses a framework for evaluating sources of variation in record linkage based on viewing the procedure as a “black box” that takes input data and produces output (a set of declared matched pairs) that has certain properties. We illustrate the idea with a factorial experiment using census/post-enumeration survey data to assess the influence of a variety of factors thought to affect the accuracy of the procedure. The evaluation of record linkage becomes a standard statistical problem using this experimental framework. The investigation provides answers to several research questions, and it is argued that taking an experimental approach similar to that offered here is essential if progress is to be made in understanding the factors that contribute to the error properties of record-linkage procedures.
Release date: 1993-06-15 - Articles and reports: 12-001-X199300114479Description:
Matching records in different administrative data bases is a useful tool for conducting epidemiological studies to study relationships between environmental hazards and health status. With large data bases, sophisticated computerized record linkage algorithms can be used to evaluate the likelihood of a match between two records based on a comparison of one or more identifying variables for those records. Since matching errors are inevitable, consideration needs to be given to the effects of such errors on statistical inferences based on the linked files. This article provides an overview of record linkage methodology, and a discussion of the statistical issues associated with linkage errors.
Release date: 1993-06-15 - 5. Diane Cohen on the new economy ArchivedArticles and reports: 75-001-X199300234Geography: CanadaDescription:
The interview discusses Canada's transition from an industrial to an information economy.
Release date: 1993-06-08
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