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Immigration Selection and the Educational Composition of the US Labor Force

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  • Jennifer Van Hook
  • Alain Bélanger
  • Patrick Sabourin
  • Anne Morse

Abstract

Immigration policy is often viewed as an important regulator of the flow of labor and human capital into the labor market. In the US context, this perspective underlies efforts to raise the educational levels of newly admitted US immigrants, which has been proposed through a variety of mechanisms. Yet it remains unclear whether and under what circumstances such changes would significantly raise the educational level of the US labor force. We use a microsimulation model to evaluate the effects of various policy proposals that would seek to admit more highly educated immigrants. Results suggest that adopting a Canadian‐style admissions policy that explicitly selects immigrants based on educational attainment would lead to a better educated labor force, especially among immigrants and their descendants. Eliminating all unauthorized immigration or family reunification and diversity admission categories, however, would have minimal impact. Additionally, the effects of all policy scenarios on the educational composition of the entire labor force are likely to be modest and would be conditional on the continuation of intergenerational mobility and high levels of immigration.

Suggested Citation

  • Jennifer Van Hook & Alain Bélanger & Patrick Sabourin & Anne Morse, 2020. "Immigration Selection and the Educational Composition of the US Labor Force," Population and Development Review, The Population Council, Inc., vol. 46(2), pages 321-346, June.
  • Handle: RePEc:bla:popdev:v:46:y:2020:i:2:p:321-346
    DOI: 10.1111/padr.12315
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    References listed on IDEAS

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    1. Jennifer Glick & Michael White, 2003. "academic trajectories of immigrant youths: Analysis within and across cohorts," Demography, Springer;Population Association of America (PAA), vol. 40(4), pages 759-783, November.
    2. World Bank, 2018. "Poverty and Shared Prosperity 2018 [Rapport 2018 sur la pauvreté et la prospérité partagée]," World Bank Publications - Books, The World Bank Group, number 30418, December.
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    Cited by:

    1. Guillaume Marois & Ekaterina Zhelenkova & Balhasan Ali, 2022. "Labour Force Projections in India Until 2060 and Implications for the Demographic Dividend," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(1), pages 477-497, November.
    2. René Böheim & Thomas Horvath & Thomas Leoni & Martin Spielauer, 2023. "The Impact of Health and Education on Labor Force Participation in Aging Societies: Projections for the United States and Germany from Dynamic Microsimulations," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(3), pages 1-35, June.
    3. Alessandra F. Lütz & Marco A. Amaral & Lucas Wardil, 2021. "Acculturation and the evolution of cooperation in spatial public goods games," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(11), pages 1-11, November.

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