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Women in STEM: Ability, preference, and value

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  • Jiang, Xuan

Abstract

Women are underrepresented in both STEM college majors and STEM jobs. Even with a STEM college degree, women are significantly less likely to work in STEM occupations than their male counterparts. This paper studies the determinants of the gender gap in college major choice and job choice between STEM and non-STEM fields and quantifies how much the gender wage gap can be explained by these choices using an extended Roy Model. I find that men’s ability sorting behavior is statistically stronger than women’s in major choice, yet gender differences in ability and ability sorting together explain only a small portion of the gender gap in STEM majors. The gender gap in STEM occupations cannot be explained by the gender differences in ability or ability sorting. Instead, a part of the gender gap in STEM occupations can be explained by the fact that women are more represented in less Math-intensive STEM majors and graduates from those majors are more likely to be well-matched to and to take jobs in non-STEM occupations. The other part of the gender gap in STEM occupations can be explained by women’s preference over work-life balance and women’s home location. The counterfactual analysis shows that about 13.7% of the gender wage gap among college graduates can be explained by the returns to STEM careers among the non-STEM women in the top 6.7% of the ability distribution.

Suggested Citation

  • Jiang, Xuan, 2021. "Women in STEM: Ability, preference, and value," Labour Economics, Elsevier, vol. 70(C).
    • Handle: RePEc:eee:labeco:v:70:y:2021:i:c:s0927537121000269
    DOI: 10.1016/j.labeco.2021.101991
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    4. Grosch, Kerstin & Häckl, Simone & Kocher, Martin G., 2022. "Closing the gender STEM gap," Department of Economics Working Paper Series 329, WU Vienna University of Economics and Business.
    5. Margaret E. Blume‐Kohout & Jacob P. Scott, 2022. "Incentivizing STEM participation: Evidence from the SMART Grant Program," Southern Economic Journal, John Wiley & Sons, vol. 89(2), pages 373-405, October.
    6. Lee, Wang-Sheng, 2024. "Single-Sex vs. Coeducational Schooling and STEM: Comparing Australian Students with Similar University Admission Scores," IZA Discussion Papers 17084, Institute of Labor Economics (IZA).
    7. David Boto-García & Marta Escalonilla, 2022. "University education, mismatched jobs: are there gender differences in the drivers of overeducation?," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(3), pages 861-902, October.
    8. Kerstin Grosch & Simone Haeckl & Martin G. Kocher, 2022. "Closing the Gender STEM Gap - A Large-Scale Randomized-Controlled Trial in Elementary Schools," CESifo Working Paper Series 9907, CESifo.
    9. Judith M. Delaney & Paul J. Devereux, 2022. "Gender Differences in STEM Persistence after Graduation," Economica, London School of Economics and Political Science, vol. 89(356), pages 862-883, October.
    10. Eleonora Matteazzi & Martina Menon & Federico Perali, 2021. "Do Boys and Girls Perform Better at Math Just Studying More ?," CHILD Working Papers Series 96 JEL Classification: I2, Centre for Household, Income, Labour and Demographic Economics (CHILD) - CCA.
    11. Granato, Silvia, 2023. "Early Influences and the choice of college major: Can policies reduce the gender gap in scientific curricula (STEM)?," Journal of Policy Modeling, Elsevier, vol. 45(3), pages 494-521.

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    More about this item

    Keywords

    Gender Gaps; Ability sorting; College major; STEM attrition; STEM job;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • 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
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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