Revisiting the Gravity Model of Migration

Mohammad Azeem Khan, Zeenat Fatima and Sumbul Fatima

Foreign Trade Review, 2023, vol. 58, issue 2, 329-349

Abstract: The recent global migration pattern indicates the importance of the movement of people from developing countries to developed countries in search of better economic opportunities. The G20 report of ‘International Migration and Displacement Trends’ mentions India at the top of the list of highly educated emigrants in G20 countries. The current study addresses the endogeneity problem in the migration determinants and attempts to highlight the major regional and economic determinants of migration flow from India to major OECD countries using the Gravity model of migration. We apply the Prais–Winsten regression method to address the cross-sectional correlation, while we apply instrumental variable regression and Hausman–Taylor regression estimation techniques to deal with the endogeneity issue. The findings reveal that the population of India, distance, common official language and per capita income differential are the major determinants of migration from India. In the backdrop of our findings, in terms of per capita income differential, there is a need for an upward revision in the pay scale of the white-collar workers in the organised sector. JEL Codes: C23, F22, J11, J60

Keywords: International migration; population; unemployment; panel data; endogeneity (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:sae:fortra:v:58:y:2023:i:2:p:329-349

DOI: 10.1177/00157325221088707

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