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Multidimensional measure of immigrant integration

Harder, Niklas, Figueroa, Lucila, Gillum, Rachel M., Hangartner, Dominik, Laitin, David and Hainmueller, Jens (2018) Multidimensional measure of immigrant integration. Proceedings of the National Academy of Sciences of the United States of America, 115 (45). 11483 - 11488. ISSN 0027-8424

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Identification Number: 10.1073/pnas.1808793115


The successful integration of immigrants into a host country’s society, economy, and polity has become a major issue for policymakers in recent decades. Scientific progress in the study of immigrant integration has been hampered by the lack of a common measure of integration, which would allow for the accumulation of knowledge through comparison across studies, countries, and time. To address this fundamental problem, we propose the IPL Integration Index as a pragmatic and multidimensional measure of immigrant integration. The measure, both in the 24-item long form (IPL-24) and the 12-item short form (IPL-12), captures six dimensions of integration: psychological, economic, political, social, linguistic, and navigational. The measure can be employed across countries, over time, and across different immigrant groups, and can be administered through short questionnaires available in different modes. We report on four surveys we conducted to evaluate the empirical performance of our measure. The tests reveal that the measure distinguishes among immigrant groups with different expected levels of integration and also correlates with well-established predictors of integration.

Item Type: Article
Official URL:
Additional Information: © 2018 National Academy of Sciences
Divisions: Government
Subjects: J Political Science > JV Colonies and colonization. Emigration and immigration. International migration
Date Deposited: 03 Oct 2018 10:45
Last Modified: 24 May 2024 18:12

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