Multiple system estimation of victims of human trafficking: model assessment and selection

Maarten Cruyff, Antony Overstall, Michail Papathomas, Rachel McCrea

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
5 Downloads (Pure)

Abstract

Recently, multiple systems estimation (MSE) has been applied to estimate the number of victims of human trafficking in different countries. The estimation procedure consists of a log-linear analysis of a contingency table of population registers and covariates. As the number of potential models increases exponentially with the number of registers and covariates, it is practically impossible to fit and compare all models. Therefore, the model search needs to be restricted to a small subset of all potential models. This paper addresses principles and criteria for model assessment and selection for MSE of human trafficking with special attention to sparsity which is typical to human trafficking data. The concepts are illustrated on data from Slovakia and Romania.
Original languageEnglish
Number of pages17
JournalCrime and Delinquency
VolumeOnline First
Early online date22 Dec 2020
DOIs
Publication statusE-pub ahead of print - 22 Dec 2020

Keywords

  • Log-linear modeling
  • iImation criteria
  • Modern slavery
  • BIC
  • AIC

Fingerprint

Dive into the research topics of 'Multiple system estimation of victims of human trafficking: model assessment and selection'. Together they form a unique fingerprint.

Cite this