Multiple Systems Estimation for Modern Slavery: Robustness of List Omission and Combination

Serveh Sharifi Far, Ruth King, Sheila Bird, Antony Overstall, Hannah Worthington, Nicholas P. Jewell

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Performing censuses on stigmatised 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.
Original languageEnglish
Pages (from-to)2213-2236
JournalCrime and Delinquency
Issue number13-14
Early online date22 Aug 2020
Publication statusPublished - 1 Dec 2021


Dive into the research topics of 'Multiple Systems Estimation for Modern Slavery: Robustness of List Omission and Combination'. Together they form a unique fingerprint.

Cite this