IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/20112.html

Characterizing the Returns to STEM: Marginal and Policy-Relevant Treatment Effects

Author

Listed:
  • Osikominu, Aderonke
  • Pfeifer, Gregor
  • Ruberg, Tim

Abstract

We estimate heterogeneous returns to STEM education by leveraging regional differences in the relative distance to technical versus general universities as a cost factor driving college major choice. On average, individuals experience substantial wage gains from pursuing a STEM education. The declining Marginal Treatment Effect (MTE) curve indicates positive selection on gains, suggesting that those with the lowest resistance to choosing STEM benefit the most. This positive selection arises from heterogeneity in the conditional expectations of both potential STEM and non-STEM wages. Through policy simulations aimed at increasing STEM enrollment and estimating the corresponding policy-relevant treatment effects, we demonstrate that the effectiveness of such policies critically depends on the characteristics—both observable and unobservable—of the individuals they affect. Furthermore, we highlight how these policies should be designed to both increase STEM enrollment and generate positive returns for targeted groups, particularly women.

Suggested Citation

  • Osikominu, Aderonke & Pfeifer, Gregor & Ruberg, Tim, 2025. "Characterizing the Returns to STEM: Marginal and Policy-Relevant Treatment Effects," CEPR Discussion Papers 20112, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:20112
    as

    Download full text from publisher

    File URL: https://cepr.org/publications/DP20112
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    Statistics

    Access and download statistics

    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:cpr:ceprdp:20112. 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: CEPR (email available below). General contact details of provider: https://cepr.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.