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- Articles and reports: 75F0002M2000006Description:
This paper discusses methods and tools considered and used to produce cross-sectional estimates based on the combination of two longitudinal panels for the Survey of Labour and Income Dynamics (SLID).
Release date: 2000-10-05 - Articles and reports: 75F0002M2000004Description:
This paper describes the methodology for the longitudinal and cross-sectional weights produced by the Survey of Labour and Income Dynamics (SLID). It also presents problems the survey has encountered and proposed solutions.
Release date: 2000-08-31 - 3. Estimation of census adjustment factors ArchivedArticles and reports: 12-001-X20000015176Description:
A components-of-variance approach and an estimated covariance error structure were used in constructing predictors of adjustment factors for the 1990 Decennial Census. The variability of the estimated covariance matrix is the suspected cause of certain anomalies that appeared in the regression estimation and in the estimated adjustment factors. We investigate alternative prediction methods and propose a procedure that is less influenced by variability in the estimated covariance matrix. The proposed methodology is applied to a data set composed of 336 adjustment factors from the 1990 Post Enumeration Survey.
Release date: 2000-08-30 - 4. Census coverage error: A demographic evaluation ArchivedArticles and reports: 12-001-X20000015177Description:
The 1996 Canadian Census is adjusted for coverage error as estimated primarily through the Reverse Record Check (RRC). In this paper, we will show how there is a wealth of additional information from the 1996 Reverse Record Check of direct value to population estimation. Beyond its ability to estimate coverage error, it is possible to extend the Reverse Record Check classification results to obtain an alternative estimate of demographic growth - potentially decomposed by component. This added feature of the Reverse Record Check provides promise in the evaluation of estimated census coverage error as well as insight as to possible problems in the estimation of selected components in the population estimates program.
Release date: 2000-08-30 - Articles and reports: 12-001-X20000015179Description:
This paper suggests estimating the conditional mean squared error of small area estimators to evaluate their accuracy. This mean squared error is conditional in the sense that it measures the variability with respect to the sampling design for a particular realization of the smoothing model underlying the small area estimators. An unbiased estimators for the conditional mean squared error is easily constructed using Stein's Lemma for the expectation of normal random variables.
Release date: 2000-08-30 - Articles and reports: 12-001-X20000015181Description:
Samples from hidden and hard-to-access human populations are often obtained by procedures in which social links are followed from one respondent to another. Inference from the sample to the larger population of interest can be affected by the link-tracing design and the type of data it produces. The population with its social network structure can be modeled as a stochastic graph with a joint distribution of node values representing characteristics of individuals and arc indicators representing social relationships between individuals.
Release date: 2000-08-30 - 7. Calibration and restricted weights ArchivedArticles and reports: 12-001-X20000015182Description:
To better understand the impact of imposing a restricted region on calibration weights, the author reviews the latter's aymptotic behaviour. Necessary and sufficient conditions are provided for the existence of a solution to the calibration equation with weights within given intervals.
Release date: 2000-08-30 - Articles and reports: 12-001-X20000015183Description:
For surveys which involve more than one stage of data collection, one method recommended for adjusting weights for nonresponse (after the first stage of data collection) entails utilizing auxiliary variables (from previous stages of data collection) which are identified as predictors of nonresponse.
Release date: 2000-08-30 - Articles and reports: 12-001-X20000015184Description:
Survey statisticians frequently use superpopulation linear regression models. The Gauss-Markov theorem, assuming fixed regressors or conditioning on observed values of regressors, asserts that the standard estimators of regression coefficients are best linear unbiased.
Release date: 2000-08-30 - Articles and reports: 12-001-X19990024879Description:
Godambe and Thompson consider the problem of confidence intervals in survey sampling. They first review the use of estimating functions to obtain model robust pivotal quantities and associated confidence intervals, and then discuss the adaptation of this approach to the survey sampling context. Details are worked out for some more specific types of models, and an empirical comparison of this approach with more conventional methods is presented.
Release date: 2000-03-01
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Analysis (15)
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- Articles and reports: 75F0002M2000006Description:
This paper discusses methods and tools considered and used to produce cross-sectional estimates based on the combination of two longitudinal panels for the Survey of Labour and Income Dynamics (SLID).
Release date: 2000-10-05 - Articles and reports: 75F0002M2000004Description:
This paper describes the methodology for the longitudinal and cross-sectional weights produced by the Survey of Labour and Income Dynamics (SLID). It also presents problems the survey has encountered and proposed solutions.
Release date: 2000-08-31 - 3. Estimation of census adjustment factors ArchivedArticles and reports: 12-001-X20000015176Description:
A components-of-variance approach and an estimated covariance error structure were used in constructing predictors of adjustment factors for the 1990 Decennial Census. The variability of the estimated covariance matrix is the suspected cause of certain anomalies that appeared in the regression estimation and in the estimated adjustment factors. We investigate alternative prediction methods and propose a procedure that is less influenced by variability in the estimated covariance matrix. The proposed methodology is applied to a data set composed of 336 adjustment factors from the 1990 Post Enumeration Survey.
Release date: 2000-08-30 - 4. Census coverage error: A demographic evaluation ArchivedArticles and reports: 12-001-X20000015177Description:
The 1996 Canadian Census is adjusted for coverage error as estimated primarily through the Reverse Record Check (RRC). In this paper, we will show how there is a wealth of additional information from the 1996 Reverse Record Check of direct value to population estimation. Beyond its ability to estimate coverage error, it is possible to extend the Reverse Record Check classification results to obtain an alternative estimate of demographic growth - potentially decomposed by component. This added feature of the Reverse Record Check provides promise in the evaluation of estimated census coverage error as well as insight as to possible problems in the estimation of selected components in the population estimates program.
Release date: 2000-08-30 - Articles and reports: 12-001-X20000015179Description:
This paper suggests estimating the conditional mean squared error of small area estimators to evaluate their accuracy. This mean squared error is conditional in the sense that it measures the variability with respect to the sampling design for a particular realization of the smoothing model underlying the small area estimators. An unbiased estimators for the conditional mean squared error is easily constructed using Stein's Lemma for the expectation of normal random variables.
Release date: 2000-08-30 - Articles and reports: 12-001-X20000015181Description:
Samples from hidden and hard-to-access human populations are often obtained by procedures in which social links are followed from one respondent to another. Inference from the sample to the larger population of interest can be affected by the link-tracing design and the type of data it produces. The population with its social network structure can be modeled as a stochastic graph with a joint distribution of node values representing characteristics of individuals and arc indicators representing social relationships between individuals.
Release date: 2000-08-30 - 7. Calibration and restricted weights ArchivedArticles and reports: 12-001-X20000015182Description:
To better understand the impact of imposing a restricted region on calibration weights, the author reviews the latter's aymptotic behaviour. Necessary and sufficient conditions are provided for the existence of a solution to the calibration equation with weights within given intervals.
Release date: 2000-08-30 - Articles and reports: 12-001-X20000015183Description:
For surveys which involve more than one stage of data collection, one method recommended for adjusting weights for nonresponse (after the first stage of data collection) entails utilizing auxiliary variables (from previous stages of data collection) which are identified as predictors of nonresponse.
Release date: 2000-08-30 - Articles and reports: 12-001-X20000015184Description:
Survey statisticians frequently use superpopulation linear regression models. The Gauss-Markov theorem, assuming fixed regressors or conditioning on observed values of regressors, asserts that the standard estimators of regression coefficients are best linear unbiased.
Release date: 2000-08-30 - Articles and reports: 12-001-X19990024879Description:
Godambe and Thompson consider the problem of confidence intervals in survey sampling. They first review the use of estimating functions to obtain model robust pivotal quantities and associated confidence intervals, and then discuss the adaptation of this approach to the survey sampling context. Details are worked out for some more specific types of models, and an empirical comparison of this approach with more conventional methods is presented.
Release date: 2000-03-01
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