Multiple systems estimation for modern slavery: robustness of list omission and combination

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 p...

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1. VerfasserIn: Sharifi Far, Serveh (VerfasserIn)
Beteiligte: King, Ruth ; Bird, Sheila
Medienart: Elektronisch Aufsatz
Sprache:Englisch
Veröffentlicht: 2021
In: Crime & delinquency
Jahr: 2021, Band: 67, Heft: 13/14, Seiten: 2213-2236
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520 |a 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. 
650 4 |a Combining sources 
650 4 |a Estimate stability 
650 4 |a Generalized linear models 
650 4 |a List omission 
700 1 |a King, Ruth  |e VerfasserIn  |4 aut 
700 1 |a Bird, Sheila  |e VerfasserIn  |4 aut 
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