Population Size Estimation and Linkage Errors: the Multiple Lists Case

Di Consiglio Loredana () and Tuoto Tiziana ()
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Di Consiglio Loredana: Italian National Institute of Statistics (Istat), via Balbo 16, 00184Roma, Italy.
Tuoto Tiziana: Italian National Institute of Statistics (Istat), via Balbo 16, 00184Roma, Italy.

Journal of Official Statistics, 2018, vol. 34, issue 4, 889-908

Abstract: Data integration is now common practice in official statistics and involves an increasing number of sources. When using multiple sources, an objective is to assess the unknown size of the population. To this aim, capture-recapture methods are applied. Standard capture-recapture methods are based on a number of strong assumptions, including the absence of errors in the integration procedures. However, in particular when the integrated sources were not originally collected for statistical purposes, this assumption is unlikely and linkage errors (false links and missing links) may occur. In this article, the problem of adjusting population estimates in the presence of linkage errors in multiple lists is tackled; under homogeneous linkage error probabilities assumption, a solution is proposed in a realistic and practical scenario of multiple lists linkage procedure.

Keywords: Probabilistically linked data; capture-recapture model; multiple system estimation; log-linear model (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:offsta:v:34:y:2018:i:4:p:889-908:n:5

DOI: 10.2478/jos-2018-0044

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