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Maciej Jan Danko , Max Planck Institute for Demographic Research
Arkadiusz Wisniowski, University of Manchester
Boris Barron, Max Planck Institute for Demographic Research
Domantas Jasilionis, Max Planck Institute for Demographic Research
Dmitri Jdanov, Max Planck Institute for Demographic Research
Emilio Zagheni, Max Planck Institute for Demographic Research
International migration is a complex phenomenon with significant socioeconomic and political impacts on both origin and destination countries. However, the lack of reliable, comparable, and comprehensive migration data often leads to research gaps and reliance on unverified information. The Human Migration Database (HMigD) addresses these challenges by providing high-quality, harmonized data on international migration flows. Adhering to the principles of comparability, flexibility, accessibility, and reproducibility, HMigD employs a Bayesian modeling framework to integrate diverse data sources while accounting for variations in data quality and definitions. To incorporate high-quality net migration estimates as constraints, we are also developing information-theoretic methods to further refine the results. The database can be interactively explored through a Shiny app. By producing consistent and reliable migration flow estimates, HMigD aims to enhance the understanding of migration dynamics, initially focusing on EU countries, with plans to extend coverage globally.
Presented in Session 66. International Migration