RT Article
T1 Multiple system estimation of victims of human trafficking: model assessment and selection
JF Crime & delinquency
VO 67
IS 13/14
SP 2237
OP 2253
A1 Cruyff, Maarten
A1 Overstall, Antony
A1 Papathomas, Michail
A1 McCrea, Rachel
A2 Overstall, Antony
A2 Papathomas, Michail
A2 McCrea, Rachel
LA English
YR 2021
UL https://krimdok.uni-tuebingen.de/Record/1782371184
AB 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.
K1 Log-linear modelin
K1 Information criteria
K1 Modern slavery
K1 BIC
K1 AIC