Analysing international migration flows: a Bayesian network approach

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.
Original languageEnglish
Title of host publicationBook of short Papers SIS2019
Number of pages6
Publication statusPublished - 2019
EventSIS2019 - Università Cattolica del Sacro Cuore - Milano
Duration: 18 Jun 201921 Jun 2019


CityUniversità Cattolica del Sacro Cuore - Milano


  • migration flows, model selection, Bayesian networks


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