<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

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

Utrecht University – Methodology and Statistics

Journal of Official Statistics

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

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...

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

Published Online: Sep 13, 2021

Page range: 699 - 718

Received: Jun 01, 2019

Accepted: Nov 01, 2020

DOI: https://doi.org/10.2478/jos-2021-0031

Keywords
Population size estimation, capture-recapture, dual-system estimation, multiple-system estimation, record linkage

© 2021 Daan Zult et al., published by Sciendo

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

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

Published Online: Sep 13, 2021

Page range: 699 - 718

Received: Jun 01, 2019

Accepted: Nov 01, 2020

DOI: https://doi.org/10.2478/jos-2021-0031

KeywordsPopulation size estimation, capture-recapture, dual-system estimation, multiple-system estimation, record linkage

© 2021 Daan Zult et al., published by Sciendo

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

Keywords
Population size estimation, capture-recapture, dual-system estimation, multiple-system estimation, record linkage