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Women and STEM

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  • Shulamit Kahn
  • Donna Ginther

Abstract

Researchers from economics, sociology, psychology, and other disciplines have studied the persistent under-representation of women in science, technology, engineering, and mathematics (STEM). This chapter summarizes this research. We argue that women’s under-representation is concentrated in the math-intensive science fields of geosciences, engineering, economics, math/computer science and physical science. Our analysis concentrates on the environmental factors that influence ability, preferences, and the rewards for those choices. We examine how gendered stereotypes, culture, role models, competition, risk aversion, and interests contribute to gender STEM gap, starting at childhood, solidifying by middle school, and affecting women and men as they progress through school, higher education, and into the labor market. Our results are consistent with preferences and psychological explanations for the under-representation of women in math-intensive STEM fields.

Suggested Citation

  • Shulamit Kahn & Donna Ginther, 2017. "Women and STEM," NBER Working Papers 23525, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:23525
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    1. Scott E. Carrell & Marianne E. Page & James E. West, 2010. "Sex and Science: How Professor Gender Perpetuates the Gender Gap," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1101-1144.
    2. Pia M. Orrenius & Madeline Zavodny, 2015. "Does Immigration Affect Whether US Natives Major in Science and Engineering?," Journal of Labor Economics, University of Chicago Press, vol. 33(S1), pages 79-108.
    3. Grace Lordan & Jörn‐Steffen Pischke, 2022. "Does Rosie Like Riveting? Male and Female Occupational Choices," Economica, London School of Economics and Political Science, vol. 89(353), pages 110-130, January.
    4. Fanny Landaud & Son Thierry Ly & Éric Maurin, 2020. "Competitive Schools and the Gender Gap in the Choice of Field of Study," Journal of Human Resources, University of Wisconsin Press, vol. 55(1), pages 278-308.
    5. Preston, Anne E, 1994. "Why Have All the Women Gone? A Study of Exit of Women from the Science and Engineering Professions," American Economic Review, American Economic Association, vol. 84(5), pages 1446-1462, December.
    6. Paul Beaudry & Ethan Lewis, 2014. "Do Male-Female Wage Differentials Reflect Differences in the Return to Skill? Cross-City Evidence from 1980-2000," American Economic Journal: Applied Economics, American Economic Association, vol. 6(2), pages 178-194, April.
    7. Christopher Cornwell & David B. Mustard & Jessica Van Parys, 2013. "Noncognitive Skills and the Gender Disparities in Test Scores and Teacher Assessments: Evidence from Primary School," Journal of Human Resources, University of Wisconsin Press, vol. 48(1), pages 236-264.
    8. Julie L. Hotchkiss & M. Melinda Pitts & Mary Beth Walker, 2017. "Impact of first birth career interruption on earnings: evidence from administrative data," Applied Economics, Taylor & Francis Journals, vol. 49(35), pages 3509-3522, July.
    9. Cotton, Christopher & McIntyre, Frank & Price, Joseph, 2013. "Gender differences in repeated competition: Evidence from school math contests," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 52-66.
    10. Bruce A. Weinberg, 2000. "Computer Use and the Demand for Female Workers," ILR Review, Cornell University, ILR School, vol. 53(2), pages 290-308, January.
    11. Thomas S. Dee, 2007. "Teachers and the Gender Gaps in Student Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 42(3).
    12. Marta De Philippis, 2023. "STEM Graduates and Secondary School Curriculum: Does Early Exposure to Science Matter?," Journal of Human Resources, University of Wisconsin Press, vol. 58(6), pages 1914-1947.
    13. Lavy, Victor & Sand, Edith, 2015. "On The Origins of Gender Human Capital Gaps: Short and Long Term Consequences of Teachers’ Stereotypical Biases," The Warwick Economics Research Paper Series (TWERPS) 1085, University of Warwick, Department of Economics.
    14. Todd R. Stinebrickner & Ralph Stinebrickner, 2011. "Math or Science? Using Longitudinal Expectations Data to Examine the Process of Choosing a College Major," NBER Working Papers 16869, National Bureau of Economic Research, Inc.
    15. repec:wly:soecon:v:81:1:y:2014:p:211-231 is not listed on IDEAS
    16. Hyunjoon Park & Jere R. Behrman & Jaesung Choi, 2012. "Do Single-Sex Schools Enhance Students’ STEM (Science, Technology, Engineering, and Mathematics) Outcomes?," PIER Working Paper Archive 12-038, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    17. Claudia Goldin & Lawrence F. Katz, 2016. "A Most Egalitarian Profession: Pharmacy and the Evolution of a Family-Friendly Occupation," Journal of Labor Economics, University of Chicago Press, vol. 34(3), pages 705-746.
    18. Kamas, Linda & Preston, Anne, 2012. "The importance of being confident; gender, career choice, and willingness to compete," Journal of Economic Behavior & Organization, Elsevier, vol. 83(1), pages 82-97.
    19. Ronald G. Ehrenberg & Daniel D. Goldhaber & Dominic J. Brewer, 1995. "Do Teachers' Race, Gender, and Ethnicity Matter? Evidence from the National Educational Longitudinal Study of 1988," ILR Review, Cornell University, ILR School, vol. 48(3), pages 547-561, April.
    20. Natalia Nollenberger & Núria Rodríguez-Planas & Almudena Sevilla, 2016. "The Math Gender Gap: The Role of Culture," American Economic Review, American Economic Association, vol. 106(5), pages 257-261, May.
    21. Marianne Bertrand & Claudia Goldin & Lawrence F. Katz, 2010. "Dynamics of the Gender Gap for Young Professionals in the Financial and Corporate Sectors," American Economic Journal: Applied Economics, American Economic Association, vol. 2(3), pages 228-255, July.
    22. Ann L. Owen, 2010. "Grades, Gender, and Encouragement: A Regression Discontinuity Analysis," The Journal of Economic Education, Taylor & Francis Journals, vol. 41(3), pages 217-234, June.
    23. Roland G. Fryer & Steven D. Levitt, 2010. "An Empirical Analysis of the Gender Gap in Mathematics," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 210-240, April.
    24. Eric P. Bettinger & Bridget Terry Long, 2005. "Do Faculty Serve as Role Models? The Impact of Instructor Gender on Female Students," American Economic Review, American Economic Association, vol. 95(2), pages 152-157, May.
    25. Kevin N. Rask & Elizabeth M. Bailey, 2002. "Are Faculty Role Models? Evidence from Major Choice in an Undergraduate Institution," The Journal of Economic Education, Taylor & Francis Journals, vol. 33(2), pages 99-124, June.
    26. Gijsbert Stoet & David C Geary, 2013. "Sex Differences in Mathematics and Reading Achievement Are Inversely Related: Within- and Across-Nation Assessment of 10 Years of PISA Data," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-10, March.
    27. Devin G. Pope & Justin R. Sydnor, 2010. "Geographic Variation in the Gender Differences in Test Scores," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 95-108, Spring.
    28. Matthew Wiswall & Basit Zafar, 2015. "Determinants of College Major Choice: Identification using an Information Experiment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(2), pages 791-824.
    29. Friedman-Sokuler, Naomi & Justman, Moshe, 2016. "Gender streaming and prior achievement in high school science and mathematics," Economics of Education Review, Elsevier, vol. 53(C), pages 230-253.
    30. Ost, Ben, 2010. "The role of peers and grades in determining major persistence in the sciences," Economics of Education Review, Elsevier, vol. 29(6), pages 923-934, December.
    31. Freeman, Richard B. & Goroff, Daniel L (ed.), 2009. "Science and Engineering Careers in the United States," National Bureau of Economic Research Books, University of Chicago Press, number 9780226261898, October.
    32. Wiswall, Matthew & Stiefel, Leanna & Schwartz, Amy Ellen & Boccardo, Jessica, 2014. "Does attending a STEM high school improve student performance? Evidence from New York City," Economics of Education Review, Elsevier, vol. 40(C), pages 93-105.
    33. Lavy, Victor, 2008. "Do gender stereotypes reduce girls' or boys' human capital outcomes? Evidence from a natural experiment," Journal of Public Economics, Elsevier, vol. 92(10-11), pages 2083-2105, October.
    34. Doris, Aedín & O’Neill, Donal & Sweetman, Olive, 2013. "Gender, single-sex schooling and maths achievement," Economics of Education Review, Elsevier, vol. 35(C), pages 104-119.
    35. Bottia, Martha Cecilia & Stearns, Elizabeth & Mickelson, Roslyn Arlin & Moller, Stephanie & Valentino, Lauren, 2015. "Growing the roots of STEM majors: Female math and science high school faculty and the participation of students in STEM," Economics of Education Review, Elsevier, vol. 45(C), pages 14-27.
    36. Joyce B. Main & Ben Ost, 2014. "The Impact of Letter Grades on Student Effort, Course Selection, and Major Choice: A Regression-Discontinuity Analysis," The Journal of Economic Education, Taylor & Francis Journals, vol. 45(1), pages 1-10, March.
    37. Price, Joshua, 2010. "The effect of instructor race and gender on student persistence in STEM fields," Economics of Education Review, Elsevier, vol. 29(6), pages 901-910, December.
    38. Muriel Niederle & Lise Vesterlund, 2010. "Explaining the Gender Gap in Math Test Scores: The Role of Competition," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 129-144, Spring.
    39. Michael Baker & Kirsten Cornelson, 2018. "Gender-Based Occupational Segregation and Sex Differences in Sensory, Motor, and Spatial Aptitudes," Demography, Springer;Population Association of America (PAA), vol. 55(5), pages 1749-1775, October.
    40. Graham, John W. & Smith, Steven A., 2005. "Gender differences in employment and earnings in science and engineering in the US," Economics of Education Review, Elsevier, vol. 24(3), pages 341-354, June.
    41. Thomas S. Dee, 2005. "A Teacher Like Me: Does Race, Ethnicity, or Gender Matter?," American Economic Review, American Economic Association, vol. 95(2), pages 158-165, May.
    42. Florian Hoffmann & Philip Oreopoulos, 2009. "A Professor Like Me: The Influence of Instructor Gender on College Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 44(2).
    43. Chinhui Juhn & Kristin McCue, 2017. "Specialization Then and Now: Marriage, Children, and the Gender Earnings Gap across Cohorts," Journal of Economic Perspectives, American Economic Association, vol. 31(1), pages 183-204, Winter.
    44. Catherine Buffington & Benjamin Cerf & Christina Jones & Bruce A. Weinberg, 2016. "STEM Training and Early Career Outcomes of Female and Male Graduate Students: Evidence from UMETRICS Data Linked to the 2010 Census," American Economic Review, American Economic Association, vol. 106(5), pages 333-338, May.
    45. Basit Zafar, 2013. "College Major Choice and the Gender Gap," Journal of Human Resources, University of Wisconsin Press, vol. 48(3), pages 545-595.
    46. Rask, Kevin, 2010. "Attrition in STEM fields at a liberal arts college: The importance of grades and pre-collegiate preferences," Economics of Education Review, Elsevier, vol. 29(6), pages 892-900, December.
    47. Michael A. Gottfried & Robert Bozick, 2016. "Supporting the STEM Pipeline: Linking Applied STEM Course-Taking in High School to Declaring a STEM Major in College," Education Finance and Policy, MIT Press, vol. 11(2), pages 177-202, Spring.
    48. Griffith, Amanda L., 2010. "Persistence of women and minorities in STEM field majors: Is it the school that matters?," Economics of Education Review, Elsevier, vol. 29(6), pages 911-922, December.
    49. Nicholas H. Wolfinger & Mary Ann Mason & Marc Goulden, 2008. "Problems in the Pipeline: Gender, Marriage, and Fertility in the Ivory Tower," The Journal of Higher Education, Taylor & Francis Journals, vol. 79(4), pages 388-405, July.
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    More about this item

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • 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
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs

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