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How Effective are Female Role Models in Steering Girls towards STEM? Evidence from French High Schools

Author

Listed:
  • Thomas Breda

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Julien Grenet

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Marion Monnet

    (INED - Institut national d'études démographiques)

  • Clémentine van Effenterre

    (University of Toronto - University of Toronto)

Abstract

We show in a large-scale field experiment that a brief exposure to female role models working in scientific fields affects high school students' perceptions and choices of undergraduate major. The classroom interventions reduced the prevalence of stereotypical views on jobs in science and gender differences in abilities. They also made high-achieving girls in grade 12 more likely to enrol in selective and male-dominated science, technology, engineering and mathematics programs in college. Comparing treatment effects across the 56 role model participants, we find that the most effective interventions are those that improved students' perceptions of science, technology, engineering and mathematics careers without overemphasising women's under-representation in science.

Suggested Citation

  • Thomas Breda & Julien Grenet & Marion Monnet & Clémentine van Effenterre, 2023. "How Effective are Female Role Models in Steering Girls towards STEM? Evidence from French High Schools," PSE Working Papers halshs-01713068, HAL.
    • Handle: RePEc:hal:psewpa:halshs-01713068
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01713068v6
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    References listed on IDEAS

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    Cited by:

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    2. Devereux, Paul J. & Delaney, Judith, 2021. "Gender and Educational Achievement: Stylized Facts and Causal Evidence," CEPR Discussion Papers 15753, C.E.P.R. Discussion Papers.
    3. Gordon B. Dahl & Dan-Olof Rooth & Anders Stenberg, 2024. "Intergenerational and Sibling Spillovers in High School Majors," American Economic Journal: Economic Policy, American Economic Association, vol. 16(3), pages 133-173, August.
    4. Ho Fai Chan & Benno Torgler, 2020. "Gender differences in performance of top cited scientists by field and country," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2421-2447, December.
    5. Emre Özel, 2024. "What is Gender Bias in Grant Peer review?," Working Papers halshs-03862027, HAL.
    6. Delfino, Alexia, 2021. "Breaking Gender Barriers: Experimental Evidence on Men in Pink-Collar Jobs," IZA Discussion Papers 14083, Institute of Labor Economics (IZA).
    7. Canaan, Serena & Mouganie, Pierre, 2019. "Female Science Advisors and the STEM Gender Gap," IZA Discussion Papers 12415, Institute of Labor Economics (IZA).
    8. Breda, Thomas & Napp, Clotilde, 2019. "Girls' Comparative Advantage in Reading Can Largely Account for the Gender Gap in Math-Intensive Fields," IZA Discussion Papers 12503, Institute of Labor Economics (IZA).
    9. Katherina Kuschel & Kerstin Ettl & Cristina Díaz-García & Gry Agnete Alsos, 2020. "Stemming the gender gap in STEM entrepreneurship – insights into women’s entrepreneurship in science, technology, engineering and mathematics," International Entrepreneurship and Management Journal, Springer, vol. 16(1), pages 1-15, March.
    10. Michela Carlana, 2019. "Implicit Stereotypes: Evidence from Teachers’ Gender Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1163-1224.
    11. Isphording, Ingo E. & Qendrai, Pamela, 2019. "Gender Differences in Student Dropout in STEM," IZA Research Reports 87, Institute of Labor Economics (IZA).
    12. Sulema Torres-Ramos & Nicte Selene Fajardo-Robledo & Lourdes Adriana Pérez-Carrillo & Claudia Castillo-Cruz & Patricia del R. Retamoza-Vega & Verónica M. Rodríguez-Betancourtt & Cristina Neri-Cortés, 2021. "Mentors as Female Role Models in STEM Disciplines and Their Benefits," Sustainability, MDPI, vol. 13(23), pages 1-19, November.

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    More about this item

    Keywords

    STEM; Stereotypes; Choice of Study; Role Models; Gender Gap;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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