Integrating Traditional and Social Media Data to Predict Bilateral Migrant Stocks in the European Union
Dilek Yildiz1, Arkadiusz Wiśniowski2*, Guy J. Abel3*, Ingmar Weber4, Emilio Zagheni5, Cloé Gendronneau6, Stijn Hoorens6
1 International Institute for Advanced Systems Analysis, Austria
2 Department of Social Statistics, University of Manchester, UK
3 Hong Kong University, Hong Kong
4 Saarland University, Germany
5 Max Planck Institute for Demographic Research, Germany
6 RAND Europe
* Corresponding author
International Migration Review (accepted) https://doi.org/10.1177/01979183241249969
This repository contains code to reproduce the results and outputs in the article.