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Does interstate migration alter U.S. state-level income inequality? A paired origin-destination perspective
International College Beijing, China Agricultural University, Beijing, China; National Innovation Center for Digital Fishery, China Agricultural University, Beijing, China.
KTH, School of Architecture and the Built Environment (ABE), Real Estate and Construction Management.ORCID iD: 0000-0002-2478-3412
Department of Public and International Affairs, City University of Hong Kong, Hong Kong.
2025 (English)In: Habitat International, ISSN 0197-3975, E-ISSN 1873-5428, Vol. 163, article id 103436Article in journal (Refereed) Published
Abstract [en]

Reducing income inequality, making cities and settlements attractive, and ensuring quality education are three of Sustainable Development Goals (17 SDGs). Many scholars and policymakers have discussed and explored the determinants of income inequality in U.S. from different perspectives. However, as an important indicator to influence local income distribution, the mode of migration is rarely discussed. In addition, it remains unclear whether this inequality-migration nexus will be mitigated or intensified by education. Thus, this paper will utilize the bilateral migration data from the Internal Revenue Service of the U.S. from 1990 to 2018 to investigate the migration-inequality nexus. One additional concern is the moderating effects of migrant educational background, which would be the fundamental indicator of migration intentions. Finally, this study finds that interstate migration can significantly positively affect income inequality. More specifically, such income inequality would be exacerbated in the destination states because skilled workers are more likely to move to seek higher wages compared to unskilled workers. This finding echoes the existing theory of Skill-biased Technological Change (SBTC). Moreover, it found that the influences of interstate migration can differ in migrant demographic characteristics and the origin-destination locations.

Place, publisher, year, edition, pages
Elsevier BV , 2025. Vol. 163, article id 103436
Keywords [en]
Bilateral data, Income inequality, Migration, Skill-biased technological change, Spillover effect
National Category
Economics International Migration and Ethnic Relations
Identifiers
URN: urn:nbn:se:kth:diva-366012DOI: 10.1016/j.habitatint.2025.103436ISI: 001508273500001Scopus ID: 2-s2.0-105007466554OAI: oai:DiVA.org:kth-366012DiVA, id: diva2:1981384
Note

QC 20250704

Available from: 2025-07-04 Created: 2025-07-04 Last updated: 2025-07-04Bibliographically approved

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Song, Zisheng

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CiteExportLink to record
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  • apa
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