Other Paper

Modeling international migration flows by integrating multiple data sources

Del Fava, E., Wiśniowski, A., Zagheni, E.
SocArXiv papers
33 pages.
Charlottesville, VA, SocArXiv / Center for Open Science
preprint, version 3 (2019), unpublished

Abstract

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 flows. In this paper, we build on existing Bayesian modeling strategies to develop a statistical framework for integrating different types of data on migration flows. We offer estimates, as well as associated measures of uncertainty, for immigration, emigration, and net migration flows among 31 European countries, by combining administrative and household survey data from 2002 to 2015.
Substantively, we document the historical impact of the EU enlargement and the free movement of workers in Europe on migration flows.
Methodologically, our approach improves on the Integrated Modeling of European Migration (IMEM) framework by providing a robust statistical framework for evaluating recent migration trends that is flexible enough to be further extended to incorporate new data sources, like social media.

Keywords: Europe, migration flow, population estimates
The Max Planck Institute for Demographic Research (MPIDR) in Rostock is one of the leading demographic research centers in the world. It's part of the Max Planck Society, the internationally renowned German research society.