Modelling international migration flows with multiple data sources

Description

Migration has become a significant source of population change at the global level, with broad societal implications. Although understanding the drivers of migration is critical to enacting effective policies, theoretical advances in the study of migration processes have been limited by the lack of data on flows of migrants, or by the fragmented nature of these data. In this work, we build on existing probabilistic modeling strategies to develop a statistical framework for integrating different types of data on migration flows: events and transitions. We offer estimates, as well as associated measures of uncertainty, for bilateral flows among 31 European countries, by combining administrative and household survey data from 2002 to 2018. Methodologically, we demonstrate the added value of survey data when there is lack of administrative data or they show poor quality.

Period	21 Oct 2022
Event title	Bayesian Methods for the Social Sciences
Event type	Workshop
Location	Paris, FranceShow on map
Degree of Recognition	International