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Gendered choices of STEM subjects for matriculation are not driven by prior differences in mathematical achievement

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  • Justman, Moshe
  • Méndez, Susan J.

Abstract

Women's under-representation in high-paying jobs in STEM fields (science, technology, engineering and mathematics) mirrors their earlier choices of matriculation electives: male students favour physics, information technology and advanced mathematics; female students favour life sciences. ‘Pipeline’ theories attribute these patterns to a male advantage in mathematics, but our longitudinal analysis, using administrative data on a full cohort of students in Victoria, Australia, shows that these patterns remain intact after conditioning on prior achievement. Female students require stronger prior signals of mathematical ability to choose male-dominated subjects, and when choosing these subjects earn higher average scores than males, suggesting a possible loss of efficiency. Previous research has shown that socio-economic disadvantage adversely affects boys more than girls, and indeed we find less of a male advantage in physics and advanced mathematics among socially disadvantaged students. We find that students with a language background other than English choose STEM fields with greater frequency than other students, reflecting their comparative advantage, while exhibiting more markedly gendered subject choices, indicating a role for cultural factors. Finally, we find significantly less gender streaming in STEM subjects among female students in all-girl schools than in co-educational schools, but no such difference for male students.

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  • Justman, Moshe & Méndez, Susan J., 2018. "Gendered choices of STEM subjects for matriculation are not driven by prior differences in mathematical achievement," Economics of Education Review, Elsevier, vol. 64(C), pages 282-297.
    • Handle: RePEc:eee:ecoedu:v:64:y:2018:i:c:p:282-297
    DOI: 10.1016/j.econedurev.2018.02.002
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    2. Ainoa Aparicio Fenoll & Sarah Zaccagni, 2021. "Gender Mix and Team Performance: Differences between Exogenously and Endogenously Formed Teams," Carlo Alberto Notebooks 646, Collegio Carlo Alberto.
    3. Dominique Cappelletti & Maria Vittoria Levati & Matteo Ploner, 2022. "Math ability, gender stereotypes about math ability, and educational choices. Combining experimental and survey data," Working Papers 07/2022, University of Verona, Department of Economics.
    4. Izaskun Zuazu, 2020. "Graduates’ Opium? Cultural Values, Religiosity and Gender Segregation by Field of Study," Social Sciences, MDPI, vol. 9(8), pages 1-27, July.
    5. Delaney, Judith M. & Devereux, Paul J., 2019. "Understanding gender differences in STEM: Evidence from college applications✰," Economics of Education Review, Elsevier, vol. 72(C), pages 219-238.
    6. Emily McDool & Damon Morris, 2022. "Gender differences in science, technology, engineering and maths uptake and attainment in post‐16 education," Manchester School, University of Manchester, vol. 90(5), pages 473-499, September.
    7. Biewen, Martin & Schwerter, Jakob, 2019. "Does More Math in High School Increase the Share of Female STEM Workers? Evidence from a Curriculum Reform," IZA Discussion Papers 12236, Institute of Labor Economics (IZA).
    8. Marcos Agurto & Sandra Buzinsky & Siddharth Hari & Valeria Quevedo & Sudipta Sarangi & Susana Vegas, 2020. "Academic Aptitude Signals and STEM field participation: A Regression Discontinuity Approach," Working Papers 2020-08, Lima School of Economics.
    9. Friedman-Sokuler, Naomi & Justman, Moshe, 2020. "Gender, culture and STEM: Counter-intuitive patterns in Arab society," Economics of Education Review, Elsevier, vol. 74(C).
    10. Friedman-Sokuler, Naomi & Senik, Claudia, 2020. "From Pink-Collar to Lab Coat: Cultural Persistence and Diffusion of Socialist Gender Norms," IZA Discussion Papers 13385, Institute of Labor Economics (IZA).
    11. Thomas Breda & Elyès Jouini & Clotilde Napp, 2023. "Gender differences in the intention to study math increase with math performance," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    12. Thelwall, Mike & Bailey, Carol & Tobin, Catherine & Bradshaw, Noel-Ann, 2019. "Gender differences in research areas, methods and topics: Can people and thing orientations explain the results?," Journal of Informetrics, Elsevier, vol. 13(1), pages 149-169.
    13. Chise, Diana & Fort, Margherita & Monfardini, Chiara, 2019. "Scientifico! like Dad: On the Intergenerational Transmission of STEM Education in Italy," IZA Discussion Papers 12688, Institute of Labor Economics (IZA).
    14. Ainoa Aparicio Fenoll & Flavia Coda-Moscarola & Sarah Zaccagni, 2021. "Mathematics Camps: A Gift for Gifted Students," Carlo Alberto Notebooks 647, Collegio Carlo Alberto.
    15. Thomas Breda & Elyès Jouini & Clotilde Napp, 2023. "Gender differences in the intention to study math increase with math performance," PSE-Ecole d'économie de Paris (Postprint) halshs-04155403, HAL.
    16. 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.
    17. Diana Chise & Margherita Fort & Chiara Monfardini, 2020. "Scientifico! like Dad: On the Intergenerational Transmission of STEM Education," FBK-IRVAPP Working Papers 2020-01, Research Institute for the Evaluation of Public Policies (IRVAPP), Bruno Kessler Foundation.
    18. Bi, Sharon & Buontempo, Jenny & DiSalvo, Richard W., 2022. "The effects of accelerated mathematics on self-efficacy and growth mindset," Economics of Education Review, Elsevier, vol. 90(C).
    19. Thomas Breda & Elyès Jouini & Clotilde Napp, 2023. "Gender differences in the intention to study math increase with math performance," Post-Print halshs-04155403, HAL.
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    21. Zuazu-Bermejo, Izaskun, 2020. "Graduates’ opium? Cultural values, religiosity and gender segregation by field of study," OSF Preprints yn23j, Center for Open Science.
    22. Devereux, Paul J. & Delaney, Judith, 2019. "Understanding Gender Differences in STEM: Evidence from College Applications," CEPR Discussion Papers 13558, C.E.P.R. Discussion Papers.

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    More about this item

    Keywords

    Gender streaming; STEM; Matriculation; Australia;
    All these keywords.

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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