Abstract
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.
Lingua originale | English |
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Titolo della pubblicazione ospite | Book of short Papers SIS2019 |
Pagine | 757-762 |
Numero di pagine | 6 |
Stato di pubblicazione | Pubblicato - 2019 |
Evento | SIS2019 - Università Cattolica del Sacro Cuore - Milano Durata: 18 giu 2019 → 21 giu 2019 |
Convegno
Convegno | SIS2019 |
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Città | Università Cattolica del Sacro Cuore - Milano |
Periodo | 18/6/19 → 21/6/19 |
Keywords
- migration flows, model selection, Bayesian networks