Gravity Models for Global Migration Flows: A Predictive Evaluation

被引:0
|
作者
Reina, Juan Caballero [1 ,2 ]
Cuaresma, Jesus Crespo [1 ,3 ,4 ,5 ,6 ]
Fenz, Katharina [1 ,3 ]
Zellmann, Jakob [1 ,3 ]
Yankov, Teodor [1 ,7 ]
Taha, Amr [8 ]
机构
[1] World Data Lab, Vienna, Austria
[2] Univ Cambridge, Cambridge, England
[3] Vienna Univ Econ & Business, Dept Econ, Welthandels pl 1, A-1020 Vienna, Austria
[4] Int Inst Appl Syst Anal, Laxenburg, Austria
[5] Wittgenstein Ctr Demog & Global Human Capital, Vienna, Austria
[6] Austrian Inst Econ Res, Vienna, Austria
[7] Univ Coll London UCL, London, England
[8] Int Org Migrat IOM, Vienna, Austria
关键词
Migration; Gravity model; Economic growth; Forecasting; INTERNATIONAL MIGRATION; DETERMINANTS;
D O I
10.1007/s11113-024-09867-6
中图分类号
C921 [人口统计学];
学科分类号
摘要
This study introduces a comprehensive econometric framework based on gravity equations and designed to forecast migrant flows between countries. The model's theoretical underpinnings are validated through empirical data, and we show that the model has better out-of-sample predictive ability than alternative global models. We explore the quantitative effects of various socioeconomic, demographic, and geographic factors on migration and illustrate its use to obtain scenario-driven projections of bilateral migration, assessing the potential contributions of migration to population and GDP dynamics in Germany and Portugal for the period 2021-2025. Our projection results highlight the critical role of immigration in sustaining population levels and economic growth, particularly in the context of ageing populations and decreasing fertility rates across Europe.
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页数:17
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