Jiang, Xuan (2018): Planting the Seeds for Success: Why Women in STEM Do Not Stick in the Field.
PDF
MPRA_paper_89650.pdf Download (1MB) |
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 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 ability sorting. I use Purdue University's administrative data that contain every Purdue student's academic records linked to information on their first job. 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 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 make up only 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, women's 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.
Item Type: | MPRA Paper |
---|---|
Original Title: | Planting the Seeds for Success: Why Women in STEM Do Not Stick in the Field |
English Title: | Planting the Seeds for Success: Why Women in STEM Do Not Stick in the Field |
Language: | English |
Keywords: | Gender Differences in STEM, Choice of College Major, Choice of Job, Ability Sorting |
Subjects: | I - Health, Education, and Welfare > I2 - Education and Research Institutions > I20 - General I - Health, Education, and Welfare > I2 - Education and Research Institutions > I23 - Higher Education ; Research Institutions J - Labor and Demographic Economics > J1 - Demographic Economics > J16 - Economics of Gender ; Non-labor Discrimination J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J24 - Human Capital ; Skills ; Occupational Choice ; Labor Productivity J - Labor and Demographic Economics > J3 - Wages, Compensation, and Labor Costs > J31 - Wage Level and Structure ; Wage Differentials |
Item ID: | 89650 |
Depositing User: | Dr. Xuan Jiang |
Date Deposited: | 01 Dec 2018 17:50 |
Last Modified: | 26 Sep 2019 22:53 |
References: | Ahn, T., Arcidiacono, P., Hopson, A., and Thomas, J. (2015). Equilibrium grade inflation with implications for female interest in stem majors. Altonji, J. G., Arcidiacono, P., and Maurel, A. (2015). The analysis of field choice in college and graduate school: Determinants and wage effects. Technical report, National Bureau of Economic Research. Altonji, J. G., Kahn, L. B., and Speer, J. D. (2016). Cashier or consultant? entry labor market conditions, field of study, and career success. Journal of Labor Economics, 34(S1):S361–S401. Arcidiacono, P. (2004). Ability sorting and the returns to college major. Journal of Econometrics, 121(1):343–375. Arcidiacono, P., Hotz, V. J., and Kang, S. (2012). Modeling college major choices using elicited measures of expectations and counterfactuals. Journal of Econometrics, 166(1):3–16. Beffy, M., Fougere, D., and Maurel, A. (2012). Choosing the field of study in postsecondary education: Do expected earnings matter? Review of Economics and Statistics, 94(1):334–347. Blakemore, A. E. and Low, S. A. (1984). Sex differences in occupational selection: The case of college majors. The Review of Economics and Statistics, pages 157–163. BLS (2012). Attachment c: Detailed 2010 soc occupations included in stem. Card, D. and Payne, A. A. (2017). High school choices and the gender gap in stem. Carneiro, P., Hansen, K. T., and Heckman, J. J. (2003). Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice. International Economic Review, 44(2):361–422. Clayton, J. A., Collins, F. S., et al. (2014). Nih to balance sex in cell and animal studies. Nature, 509(7500):282–3. Daymont, T. N. and Andrisani, P. J. (1984). Job preferences, college major, and the gender gap in earnings. Journal of Human Resources, pages 408–428. Dickson, L. (2010). Race and gender differences in college major choice. The Annals of the American Academy of Political and Social Science, 627(1):108–124. Eccles, J. S. (2007). Where Are All the Women? Gender Differences in Participation in Physical Science and Engineering. American Psychological Association. Ethington, C. A. and Woffle, L. M. (1988). Women’s selection of quantitative undergraduate fields of study: Direct and indirect influences. American Educational Research Journal, 25(2):157–175. Fisher, A. and Margolis, J. (2002). Unlocking the clubhouse: the carnegie mellon experience. ACM SIGCSE Bulletin, 34(2):79–83. Hansen, K. T., Heckman, J. J., and Mullen, K. J. (2004). The effect of schooling and ability on achievement test scores. Journal of econometrics, 121(1-2):39–98. Hanson, S. L., Schaub, M., and Baker, D. P. (1996). Gender stratification in the science pipeline a comparative analysis of seven countries. Gender & Society, 10(3):271–290. Heckman, J. J., Stixrud, J., and Urzua, S. (2006). The effects of cognitive and noncognitive abilities on labor market outcomes and social behavior. Journal of Labor economics, 24(3):411–482. Humphries, J. E., Joensen, J. S., and Veramendi, G. (2017). College major choice: Sorting and differential returns to skills. Hunt, J. (2016). Why do women leave science and engineering? ILR Review, 69(1):199–226. ICE (2016). Stem designated degree program list. James, E., Alsalam, N., Conaty, J. C., and To, D.-L. (1989). College quality and future earnings: where should you send your child to college? The American Economic Review, 79(2):247–252. Johnson, M. and Helgeson, V. S. (2002). Sex differences in response to evaluative feedback: A field study. Psychology of Women Quarterly, 26(3):242–251. Kimmel, L. G., Miller, J. D., and Eccles, J. S. (2012). Do the paths to stemm professions differ by gender? Peabody Journal of Education, 87(1):92–113. Long, M. C., Goldhaber, D., and Huntington-Klein, N. (2015). Do completed college majors respond to changes in wages? Economics of Education Review, 49:1–14. Noonan, R. (2017). Women in stem: 2017 update. Office of the Chief Economist, Economics and Statistics Administration, U.S. Department of Commerce (ESA Issue Brief #06-17). Retrieved from https://www.esa.gov/reports/women-stem-2017-update. Paglin, M. and Rufolo, A. M. (1990). Heterogeneous human capital, occupational choice, and male-female earnings differences. Journal of Labor Economics, 8(1, Part 1):123–144. Polachek, S. W. (1978). Sex differences in college major. ILR Review, 31(4):498–508. Polachek, S. W. (1981). Occupational self-selection: A human capital approach to sex differences in occupational structure. The review of Economics and Statistics, pages 60–69. Prada, M. F., Urz ́ua, S., et al. (2017). One size does not fit all: Multiple dimensions of ability, college attendance, and earnings. Journal of Labor Economics,35(4):953–991. Roberts, T.-A. (1991). Gender and the influence of evaluations on self-assessments in achievement settings. Psychological bulletin, 109(2):297. Roy, A. D. (1951). Some thoughts on the distribution of earnings. Oxford economic papers, 3(2):135–146. Sarzosa, M. (2017). Negative social interactions and skill accumulation: The case of school bullying. Technical report, mimeo, Purdue University. Sarzosa, M. and Urz ́ua, S. (2015). Bullying in teenagers, the role of cognitive and non-cognitive skills. NBER Working Paper, w21631. Sarzosa, M. and Urz ́ua, S. (2016). Implementing factor models for unobserved heterogeneity in stata. The Stata Journal, 16(1):197–228. Shapiro, J. R. and Williams, A. M. (2012). The role of stereotype threats in undermining girls’ and women’s performance and interest in stem fields. Sex Roles, 66(3-4):175–183. Solnick, S. J. (1995). Changes in women’s majors from entrance to graduation at women’s and coeducational colleges. ILR Review, 48(3):505–514. Stinebrickner, R. and Stinebrickner, T. (2013). A major in science? initial beliefs and final outcomes for college major and dropout. The Review of Economic Studies, page rdt025. Trusty, J. (2002). Effects of high school course-taking and other variables on choice of science and mathematics college majors. Journal of Counseling & Development, 80(4):464–474. Turner, S. E. and Bowen, W. G. (1999). Choice of major: The changing (unchanging) gender gap. ILR Review, 52(2):289–313. Urzua, S. (2008). Racial labor market gaps the role of abilities and schooling choices. Journal of Human Resources, 43(4):919–971. Wiswall, M. and Zafar, B. (2015a). Determinants of college major choice: Identification using an information experiment. The Review of Economic Studies, 82(2):791–824. Wiswall, M. and Zafar, B. (2015b). How do college students respond to public information about earnings? Journal of Human Capital, 9(2):117–169. Xie, Y., Shauman, and A, K. (2003). Women in science: Career processes and outcomes, volume 26. Harvard University Press Cambridge, MA. Xue, Y. and Larson, R. C. (2015). Stem crisis or stem surplus: Yes and yes. Monthly Lab. Rev., 138:1. Zafar, B. (2013). College major choice and the gender gap. Journal of Human Resources, 48(3):545–595. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/89650 |