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dc.contributor.authorSharifi Far, Serveh
dc.contributor.authorKing, Ruth
dc.contributor.authorBird, Sheila
dc.contributor.authorOverstall, Antony
dc.contributor.authorWorthington, Hannah
dc.contributor.authorJewell, Nicholas
dc.identifier.citationSharifi Far , S , King , R , Bird , S , Overstall , A , Worthington , H & Jewell , N 2020 , ' Multiple systems estimation for modern slavery : robustness of list omission and combination ' , Crime and Delinquency , vol. OnlineFirst .
dc.identifier.otherPURE: 269926187
dc.identifier.otherPURE UUID: 06829e7c-fe39-445e-8c6e-ca0630aa76aa
dc.identifier.otherScopus: 85089696583
dc.identifier.otherORCID: /0000-0001-5452-3032/work/79918006
dc.identifier.otherWOS: 000561849800001
dc.description.abstractPerforming censuses on stigmatized or vulnerable populations is challenging, however, for such populations partial enumeration is often possible using different lists or sources. If the sources overlap then multiple systems estimation (MSE) methods can be applied to obtain an estimate of the total population. These are typically expressed by a log-linear model which permits positive/negative dependencies between lists. This paper considers issues that arise for the application of MSE to modern slavery where there is little to no overlap of individuals across lists. We investigate the robustness of MSE in terms of the importance of each list and the impact of combining lists on the estimation process. We undertake a simulation study and consider real national modern slavery data from the UK and Romania.
dc.relation.ispartofCrime and Delinquencyen
dc.rightsCopyright © The Author(s) 2020. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 License ( which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (
dc.subjectCombining sourcesen
dc.subjectEstimate stabilityen
dc.subjectGeneralized linear modelsen
dc.subjectList omissionen
dc.subjectK Lawen
dc.subjectPathology and Forensic Medicineen
dc.subjectSDG 8 - Decent Work and Economic Growthen
dc.titleMultiple systems estimation for modern slavery : robustness of list omission and combinationen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.description.statusPeer revieweden

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