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.

Population size estimation and linkage errors: the multiple lists case / Tuoto, Tiziana; Di Consiglio, Loredana. - In: JOURNAL OF OFFICIAL STATISTICS. - ISSN 2001-7367. - 34:4(2018), pp. 889-908. [10.2478/jos-2018-0044]

Population size estimation and linkage errors: the multiple lists case

Tuoto Tiziana;
2018

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.
2018
Probabilistically linked data; capture-recapture model; multiple system estimation; log-linear model
01 Pubblicazione su rivista::01a Articolo in rivista
Population size estimation and linkage errors: the multiple lists case / Tuoto, Tiziana; Di Consiglio, Loredana. - In: JOURNAL OF OFFICIAL STATISTICS. - ISSN 2001-7367. - 34:4(2018), pp. 889-908. [10.2478/jos-2018-0044]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1490681
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