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Multi-Dimensional Skills and Gender Differences in Stem Majors

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  • Fernando Saltiel

Abstract

This paper studies the relationship between pre-college skills and gender differences in STEM majors. I use longitudinal data to estimate a generalised Roy model of initial major choices and subsequent graduation outcomes. I recover students’ latent math ability, non-cognitive skills and math self-efficacy. High–math-ability women have lower math self-efficacy than men. Mathematical ability and self-efficacy shape the likelihood of STEM enrolment. A lack of math self-efficacy drives women’s drop out from STEM majors. I find large returns to STEM enrolment for high–math-ability women. Well-focused math self-efficacy interventions could improve women’s STEM graduation rates and labour market outcomes.

Suggested Citation

  • Fernando Saltiel, 2023. "Multi-Dimensional Skills and Gender Differences in Stem Majors," The Economic Journal, Royal Economic Society, vol. 133(651), pages 1217-1247.
    • Handle: RePEc:oup:econjl:v:133:y:2023:i:651:p:1217-1247.
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    File URL: http://hdl.handle.net/10.1093/ej/ueac079
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    References listed on IDEAS

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    Cited by:

    1. Henry, Marc & Méango, Romuald & Mourifié, Ismaël, 2024. "Role models and revealed gender-specific costs of STEM in an extended Roy model of major choice," Journal of Econometrics, Elsevier, vol. 238(2).
    2. Leckie, G. & Maragkou, K., 2024. "Tracing the Origins of Gender Bias in Teacher Grades," Cambridge Working Papers in Economics 2457, Faculty of Economics, University of Cambridge.

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