A General Framework for Multiple-Recapture Estimation that Incorporates Linkage Error Correction

Zult Daan (), Peter-Paul de Wolf (), Bakker Bart F. M. () and Peter van der Heijden ()
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Zult Daan: Statistics Netherlands – Methodology, P.O. Box 24500, 2490 HA The Hague, the Netherlands.
Peter-Paul de Wolf: Statistics Netherlands – Methodology, P.O. Box 24500, 2490 HA The Hague, the Netherlands.
Bakker Bart F. M.: Statistics Netherlands – Methodology, P.O. Box 24500, 2490 HA The Hague, the Netherlands.
Peter van der Heijden: Utrecht University – Methodology and Statistics, Padualaan 14, Utrecht 3508 TC, the Netherlands.

Journal of Official Statistics, 2021, vol. 37, issue 3, 699-718

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.

Keywords: Population size estimation; capture-recapture; dual-system estimation; multiple-system estimation; record linkage (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:offsta:v:37:y:2021:i:3:p:699-718:n:10

DOI: 10.2478/jos-2021-0031

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