A general framework for multiple-recapture estimation that incorporates linkage error correction
A general framework for multiple-recapture estimation that incorporates linkage error correction
The size of a partly observed population is often estimated with the capture-recapture model. An important assumption of this chat model is that sources can be perfectly linked. This assumption is of relevance if the identification of records is not obtained by some perfect identifier (such as an id code) but by indirect identifiers (such as name and address). In that case, the perfect linkage assumption is often violated, which in general leads to biased population size estimates. Initial suggestions to solve this use record linkage probabilities to correct the capture-recapture model. In this article we provide a general framework, based on the standard log-linear modelling approach, that generalises this work towards the inclusion of additional sources and covariates. We show that the method performs well in a simulation study.
Population size estimation, capture-recapture, dual-system estimation, multiple-system estimation, record linkage
699–718
Zult, Daan
3c826464-727c-41fe-be3f-50aef99679c9
de Wolf, P.P.
39002645-94f6-41c5-81de-0f6a965b38ce
Bakker, B.F.M.
248dc95b-039d-4bc0-83be-09cb3865b1c5
Van Der Heijden, Peter
85157917-3b33-4683-81be-713f987fd612
1 September 2021
Zult, Daan
3c826464-727c-41fe-be3f-50aef99679c9
de Wolf, P.P.
39002645-94f6-41c5-81de-0f6a965b38ce
Bakker, B.F.M.
248dc95b-039d-4bc0-83be-09cb3865b1c5
Van Der Heijden, Peter
85157917-3b33-4683-81be-713f987fd612
Zult, Daan, de Wolf, P.P., Bakker, B.F.M. and Van Der Heijden, Peter
(2021)
A general framework for multiple-recapture estimation that incorporates linkage error correction.
Journal of Official Statistics, 37 (3), .
(doi:10.2478/JOS-2021-0031).
Abstract
The size of a partly observed population is often estimated with the capture-recapture model. An important assumption of this chat model is that sources can be perfectly linked. This assumption is of relevance if the identification of records is not obtained by some perfect identifier (such as an id code) but by indirect identifiers (such as name and address). In that case, the perfect linkage assumption is often violated, which in general leads to biased population size estimates. Initial suggestions to solve this use record linkage probabilities to correct the capture-recapture model. In this article we provide a general framework, based on the standard log-linear modelling approach, that generalises this work towards the inclusion of additional sources and covariates. We show that the method performs well in a simulation study.
Text
WMR model JOS paper 061120
- Accepted Manuscript
Text
10.2478_jos-2021-0031
- Version of Record
More information
Accepted/In Press date: 11 November 2020
e-pub ahead of print date: 27 May 2021
Published date: 1 September 2021
Keywords:
Population size estimation, capture-recapture, dual-system estimation, multiple-system estimation, record linkage
Identifiers
Local EPrints ID: 445278
URI: http://eprints.soton.ac.uk/id/eprint/445278
ISSN: 0282-423X
PURE UUID: cd8c0a0c-30fc-4f8b-8fd8-6bac00ff7d47
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Date deposited: 01 Dec 2020 17:30
Last modified: 17 Mar 2024 06:06
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Contributors
Author:
Daan Zult
Author:
P.P. de Wolf
Author:
B.F.M. Bakker
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