<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Register data that originate from administrative or other secondary sources are increasingly being used to generate statistical outputs directly. The coverage of the input datasets is an important issue in this respect. Traditionally capture-recapture models have been used to deal with multiple list enumerations subjected to undercoverage errors. The aim of this article is to scope possible approaches to modelling capture-recapture data with additional overcoverage error. Attention is primarily given to model interpretations and conditions under which a model may provide a plausible basis for estimation and uncertainty evaluation. The setting with two list enumerations is examined in depth as it is the most common in practice. Models that can be extended to include more than two lists are identified. An additional independent coverage survey with only undercoverage error is always needed for estimation. Potential application to census coverage-error adjustment is discussed.</p></abstract>

Register data that originate from administrative or other secondary sources are increasingly being used to generate statistical outputs directly. The coverage of the input datasets is an important issue in this respect. Traditionally capture-recapture models have been used to deal with multiple list enumerations subjected to undercoverage errors. The aim of this article is to scope possible approaches to modelling capture-recapture data with additional overcoverage error. Attention is primarily given to model interpretations and conditions under which a model may provide a plausible basis for estimation and uncertainty evaluation. The setting with two list enumerations is examined in depth as it is the most common in practice. Models that can be extended to include more than two lists are identified. An additional independent coverage survey with only undercoverage error is always needed for estimation. Potential application to census coverage-error adjustment is discussed.

On Modelling Register Coverage Errors

Department of Social Statistics and Demography/S3RI, University of Southampton, Highfield, Southampton SO17 1BJ, UK Email: L.Zhang@soton.ac.uk. and Statistics Norway, Akersveien 26, PB 8131 Dep, Oslo 2213, Norway

Journal of Official Statistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"On Modelling Register Coverage Errors"}

Register data that originate from administrative or other secondary sources are increasingly being used to generate statistical outputs directly. The coverage...

On Modelling Register Coverage Errors

Pubblicato online: 01 set 2015

Pagine: 381 - 396

Ricevuto: 01 gen 2014

Accettato: 01 nov 2014

DOI: https://doi.org/10.1515/jos-2015-0023

Parole chiave
List error and catch, log-linear model, pseudoconditional independence

© by Li-Chun Zhang

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

On Modelling Register Coverage Errors

Pubblicato online: 01 set 2015

Pagine: 381 - 396

Ricevuto: 01 gen 2014

Accettato: 01 nov 2014

DOI: https://doi.org/10.1515/jos-2015-0023

Parole chiaveList error and catch, log-linear model, pseudoconditional independence

© by Li-Chun Zhang

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
List error and catch, log-linear model, pseudoconditional independence