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On modelling register coverage errors

On modelling register coverage errors
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 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.
list error and catch, log-linear model, pseudoconditional independence
0282-423X
381-396
Zhang, Li-Chun
a5d48518-7f71-4ed9-bdcb-6585c2da3649
Zhang, Li-Chun
a5d48518-7f71-4ed9-bdcb-6585c2da3649

Zhang, Li-Chun (2015) On modelling register coverage errors. Journal of Official Statistics, 31 (3), 381-396. (doi:10.1515/jos-2015-0023).

Record type: Article

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.

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More information

Accepted/In Press date: 1 November 2014
e-pub ahead of print date: 1 September 2015
Published date: 1 September 2015
Keywords: list error and catch, log-linear model, pseudoconditional independence
Organisations: Social Statistics & Demography

Identifiers

Local EPrints ID: 391011
URI: http://eprints.soton.ac.uk/id/eprint/391011
ISSN: 0282-423X
PURE UUID: 63c09463-3c8a-4744-bf23-c0278380071e
ORCID for Li-Chun Zhang: ORCID iD orcid.org/0000-0002-3944-9484

Catalogue record

Date deposited: 06 Apr 2016 13:48
Last modified: 15 Mar 2024 03:45

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