<abstract xmlns="http://www.w3.org/1999/xhtml"><p> This article looks at the estimation of an association parameter between two variables in a finite population, when the variables are separately recorded in two population registers that are also imperfectly linked. The main problem is the occurrence of linkage errors that include bad links and missing links. A methodology is proposed when clerical-reviews may reliably determine the match status of a record-pair, for example using names, demographic and address information. It features clerical-reviews on a probability sample of pairs and regression estimators that are assisted by a statistical model of comparison outcomes in a pair. Like other regression estimators, this estimator is design-consistent regardless of the model validity. It is also more efficient when the model holds.</p></abstract>

This article looks at the estimation of an association parameter between two variables in a finite population, when the variables are separately recorded in two population registers that are also imperfectly linked. The main problem is the occurrence of linkage errors that include bad links and missing links. A methodology is proposed when clerical-reviews may reliably determine the match status of a record-pair, for example using names, demographic and address information. It features clerical-reviews on a probability sample of pairs and regression estimators that are assisted by a statistical model of comparison outcomes in a pair. Like other regression estimators, this estimator is design-consistent regardless of the model validity. It is also more efficient when the model holds.

Design-Based Estimation with Record-Linked Administrative Files and a Clerical Review Sample

Journal of Official Statistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

This article looks at the estimation of an association parameter between two variables in a finite population, when the variables are separately recorded in...

Design-Based Estimation with Record-Linked Administrative Files and a Clerical Review Sample

Pubblicato online: 01 mar 2018

Pagine: 41 - 54

Ricevuto: 01 lug 2015

Accettato: 01 ott 2017

DOI: https://doi.org/10.1515/jos-2018-0003

Parole chiave
Probabilistic record-linkage, administrative data, clerical-review, mixturemodel, probability sample

© by Abel Dasylva

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Design-Based Estimation with Record-Linked Administrative Files and a Clerical Review Sample

Pubblicato online: 01 mar 2018

Pagine: 41 - 54

Ricevuto: 01 lug 2015

Accettato: 01 ott 2017

DOI: https://doi.org/10.1515/jos-2018-0003

Parole chiaveProbabilistic record-linkage, administrative data, clerical-review, mixturemodel, probability sample

© by Abel Dasylva

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Parole chiave
Probabilistic record-linkage, administrative data, clerical-review, mixturemodel, probability sample