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Planting the Seeds for Success: Why Women in STEM Don't Stick in The Field

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  • Gabi Xuan Jiang

Abstract

Women are underrepresented in both STEM college degrees and STEM jobs. Even with a STEM college degree, women are signifcantly less likely to work in a STEM occupation than their male counterparts. This paper investigates whether men and women possess different ability distributions and examines how much the gender gap in major choice and job choice can be explained by gender differences in sorting on abilities. I use Purdue University's administrative data that contains every Purdue student's academic records linked to their first job information. I apply an extended Roy model of unobserved heterogeneity allowing for endogenous choice with two sequential optimizing decisions: the choice between a STEM and non-STEM major and the choice between a STEM and non-STEM job. I find that both abilities are significantly weaker determinants of major choice for women than for men. High-ability women give up $13,000 - $20,000 in annual salary by choosing non-STEM majors. Those non-STEM high-ability women only make up 5.6% of the female sample, but their total gains - had they made the same decision as men - explain about 9.4% of the gender wage gap. Furthermore, the fact that female STEM graduates are less likely to stay in STEM is unrelated to the differences in ability sorting. Instead, home region may be important in women's job decisions; female STEM graduates who return to their home state are more likely to opt out of STEM.

Suggested Citation

  • Gabi Xuan Jiang, 2018. "Planting the Seeds for Success: Why Women in STEM Don't Stick in The Field," Purdue University Economics Working Papers 1307, Purdue University, Department of Economics.
  • Handle: RePEc:pur:prukra:1307
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    1. Fernando Saltiel, 2019. "What's Math Got to Do With It? Multidimensional Ability and the Gender Gap in STEM," 2019 Meeting Papers 1201, Society for Economic Dynamics.

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    More about this item

    Keywords

    Women; STEM; Major; Job; Gender Differences;
    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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