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Multiple systems estimation for modern slavery : robustness of list omission and combination
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dc.contributor.author | Sharifi Far, Serveh | |
dc.contributor.author | King, Ruth | |
dc.contributor.author | Bird, Sheila | |
dc.contributor.author | Overstall, Antony | |
dc.contributor.author | Worthington, Hannah | |
dc.contributor.author | Jewell, Nicholas | |
dc.date.accessioned | 2020-09-18T14:30:06Z | |
dc.date.available | 2020-09-18T14:30:06Z | |
dc.date.issued | 2020-08-22 | |
dc.identifier.citation | Sharifi 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 . https://doi.org/10.1177/0011128720951429 | en |
dc.identifier.issn | 0011-1287 | |
dc.identifier.other | PURE: 269926187 | |
dc.identifier.other | PURE UUID: 06829e7c-fe39-445e-8c6e-ca0630aa76aa | |
dc.identifier.other | Scopus: 85089696583 | |
dc.identifier.other | ORCID: /0000-0001-5452-3032/work/79918006 | |
dc.identifier.other | WOS: 000561849800001 | |
dc.identifier.uri | https://hdl.handle.net/10023/20645 | |
dc.description.abstract | Performing 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.format.extent | 24 | |
dc.language.iso | eng | |
dc.relation.ispartof | Crime and Delinquency | en |
dc.rights | Copyright © The Author(s) 2020. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) 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 (https://us.sagepub.com/en-us/nam/open-access-at-sage). | en |
dc.subject | Combining sources | en |
dc.subject | Estimate stability | en |
dc.subject | Generalized linear models | en |
dc.subject | List omission | en |
dc.subject | K Law | en |
dc.subject | Pathology and Forensic Medicine | en |
dc.subject | Law | en |
dc.subject | 3rd-DAS | en |
dc.subject | SDG 8 - Decent Work and Economic Growth | en |
dc.subject.lcc | K | en |
dc.title | Multiple systems estimation for modern slavery : robustness of list omission and combination | en |
dc.type | Journal article | en |
dc.description.version | Publisher PDF | en |
dc.contributor.institution | University of St Andrews. Statistics | en |
dc.contributor.institution | University of St Andrews. Centre for Research into Ecological & Environmental Modelling | en |
dc.identifier.doi | https://doi.org/10.1177/0011128720951429 | |
dc.description.status | Peer reviewed | en |
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