Analysing International Migration Flows: A Bayesian Network Approach

Emanuela Furfaro , Università Cattolica del Sacro Cuore
Federico Castelletti, Università Cattolica del Sacro Cuore

In this paper we investigate the non-economic determinants of international migration flows. We approach this problem using a Bayesian graphical model methodology which performs variable selection among a set of covariates that are potentially related to migration flows. We consider inflows to Italy from 171 different countries of origin on which we measure demographic and geographic characteristics. While results are coherent with the most recent literature, our method also provides measures of uncertainty around the dependence structure between covariates and migration flows

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 Presented in Session 33. Methods for Migration Research