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...

Full description

Saved in:  
Bibliographic Details
Main Author: Sharifi Far, Serveh (Author)
Contributors: King, Ruth ; Bird, Sheila
Format: Electronic Article
Language:English
Published: 2021
In: Crime & delinquency
Year: 2021, Volume: 67, Issue: 13/14, Pages: 2213-2236
Online Access: Presumably Free Access
Volltext (lizenzpflichtig)
Journals Online & Print:
Drawer...
Check availability: HBZ Gateway
Keywords:
Combining sources
Estimate stability
Generalized linear models
List omission
Description
Summary: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.
ISSN:1552-387X
DOI:10.1177/0011128720951429