IDEAS home Printed from https://ideas.repec.org/a/nas/journl/v116y2019p484-489.html
   My bibliography  Save this article

Early patterns of skill acquisition and immigrants’ specialization in STEM careers

Author

Listed:
  • Marcos A. Rangel

    (Sanford School of Public Policy, Duke University, Durham, NC 27708)

  • Ying Shi

    (Center for Education Policy Analysis, Stanford University, Stanford, CA 94305)

Abstract

We provide empirical evidence of immigrants’ specialization in skill acquisition well before entering the US labor market. Nationally representative datasets enable studying the academic trajectories of immigrant children, with a focus on high-school course-taking patterns and college major choice. Immigrant children accumulate skills in ways that reinforce comparative advantages in nonlanguage intensive skills such as mathematics and science, and this contributes to their growing numbers in science, technology, engineering, and math (STEM) careers. These results are compatible with well-established models of skill formation that emphasize dynamic complementarities of investments in learning.

Suggested Citation

  • Marcos A. Rangel & Ying Shi, 2019. "Early patterns of skill acquisition and immigrants’ specialization in STEM careers," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(2), pages 484-489, January.
  • Handle: RePEc:nas:journl:v:116:y:2019:p:484-489
    as

    Download full text from publisher

    File URL: http://www.pnas.org/content/116/2/484.full
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nas:journl:v:116:y:2019:p:484-489. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Eric Cain (email available below). General contact details of provider: http://www.pnas.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.