Global gender gaps in the international migration of professionals on LinkedIn

Elizabeth M. Jacobs, Tom Theile, Daniela Perrotta, Xinyi Zhao, Athina Anastasiadou and Emilio Zagheni
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Elizabeth M. Jacobs: Max Planck Institute for Demographic Research, Rostock, Germany
Tom Theile: Max Planck Institute for Demographic Research, Rostock, Germany
Daniela Perrotta: Max Planck Institute for Demographic Research, Rostock, Germany
Xinyi Zhao: Max Planck Institute for Demographic Research, Rostock, Germany
Athina Anastasiadou: Max Planck Institute for Demographic Research, Rostock, Germany
Emilio Zagheni: Max Planck Institute for Demographic Research, Rostock, Germany

No WP-2024-037, MPIDR Working Papers from Max Planck Institute for Demographic Research, Rostock, Germany

Abstract: This paper examines gender differentials in the international migration of professionals, and how this varies by country, industry, age, and years of experience. We leverage data from LinkedIn, the largest professional networking website, to construct immigrant and emigrant Gender Gap Indexes (iGGI and eGGI). These indexes measure inflows and openness to international relocation. The findings indicate that, among LinkedIn users, the global population of immigrant professionals is at gender parity. The professional migrant population is majority-female in key destination countries like the U.S., U.K., Australia and France, as well as emerging destination countries like South Korea and Singapore. Our results show that the mobility of women migrants is driven by industries like finance, healthcare and real estate. We find evidence of positive selection among women migrant professionals in key destination countries and industries. Our results indicate that men are more open to international relocation than women, suggesting that men express higher migration aspirations, but men and women have similar rates of observed mobility. The paper makes novel contributions to the literature on migration aspirations, behavior and selectivity. Methodologically, we develop a new data set and appropriate measures to complement existing sources to study professional migration across a wide range of countries.

JEL-codes: J1 Z0 (search for similar items in EconPapers)
Pages: 39 pages
Date: 2024
New Economics Papers: this item is included in nep-gen, nep-int, nep-lab, nep-mig, nep-sea and nep-ure
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Persistent link: https://EconPapers.repec.org/RePEc:dem:wpaper:wp-2024-037

DOI: 10.4054/MPIDR-WP-2024-037

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