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Multidimensional measure of immigrant integration

Author

Listed:
  • Niklas Harder

    (Immigration Policy Lab, Stanford University, Stanford, CA 94305)

  • Lucila Figueroa

    (Immigration Policy Lab, Stanford University, Stanford, CA 94305)

  • Rachel M. Gillum

    (Immigration Policy Lab, Stanford University, Stanford, CA 94305)

  • Dominik Hangartner

    (Immigration Policy Lab, ETH Zurich, 8050 Zurich, Switzerland; Center for Comparative and International Studies, ETH Zurich, 8050 Zurich; Switzerland, Department of Government, London School of Economics and Political Science, London WC2A 2AE, United Kingdom)

  • David D. Laitin

    (Immigration Policy Lab, Stanford University, Stanford, CA 94305; Department of Political Science, Stanford University, Stanford, CA 94305)

  • Jens Hainmueller

    (Immigration Policy Lab, Stanford University, Stanford, CA 94305; Department of Political Science, Stanford University, Stanford, CA 94305; Graduate School of Business, Stanford University, Stanford, CA 94305)

Abstract

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 Immigration Policy Lab (IPL) Integration Index as a pragmatic and multidimensional measure of immigrant integration. The measure, both in the 12-item short form (IPL-12) and the 24-item long form (IPL-24), captures six dimensions of integration: psychological, economic, political, social, linguistic, and navigational. The measure can be used 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.

Suggested Citation

  • Niklas Harder & Lucila Figueroa & Rachel M. Gillum & Dominik Hangartner & David D. Laitin & Jens Hainmueller, 2018. "Multidimensional measure of immigrant integration," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(45), pages 11483-11488, November.
    • Handle: RePEc:nas:journl:v:115:y:2018:p:11483-11488
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    Citations

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    Cited by:

    1. Hirsch, Thalia & Busse, Britta, 2020. "The importance of subjective measurements in child and youth well-being studies," Schriftenreihe Institut Arbeit und Wirtschaft 29/2020, Institut Arbeit und Wirtschaft (IAW), Universität Bremen und Arbeitnehmerkammer Bremen.
    2. Cristina Bratu & Matz Dahlberg & Madhinee Valeyatheepillay, 2021. "Age at Arrival and Residential Integration," CESifo Working Paper Series 9181, CESifo.
    3. Pia Schilling & Steven Stillman, 2021. "The Impact of Natives' Attitudes Towards Immigrants on Their Integration in the Host Country," CESifo Working Paper Series 9308, CESifo.
    4. Dahlberg, Matz & Egebark, Johan & Vikman, Ulrika, 2023. "Long-run integration of refugees: RCT evidence from a Swedish early intervention program," Working Paper Series 2023:23, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    5. Maximilian Förster & Julia Klier & Mathias Klier & Katharina Schäfer-Siebert & Irina Sigler, 2022. "Leveraging the Power of Peer Groups for Refugee Integration," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(4), pages 441-457, August.
    6. Reidun Ims & Lennart Lorås & Ottar Ness & Linda Finlay, 2021. "Immigrants’ Experiences on Integration While Attempting to Access the Labour Market: Implications for Social Work Practice," Social Sciences, MDPI, vol. 10(4), pages 1-16, March.

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