IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-04155403.html
   My bibliography  Save this paper

Gender differences in the intention to study math increase with math performance

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)

  • Elyès Jouini

    (Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres, CEREMADE - CEntre de REcherches en MAthématiques de la DEcision - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Clotilde Napp

    (Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres, DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

Abstract

Even though females currently outnumber males in higher education, they remain largely underrepresented in math-related fields of study, with no sign of improvement during the past decades. To better understand which students drive this underrepresentation, we use PISA 2012 data on 251,120 15-year-old students in 61 countries to analyse boys' and girls' educational intentions along the ability distribution on math assessment tests. We analyze the percentages of boys and girls intending to pursue math-related studies or careers as a function of math performance. First, we show that for both boys and girls, there is a positive and linear relation between the probability of intending to pursue math and math performance. Second, the positive relation is stronger among boys than among girls. In particular, the gender gap in student intentions to pursue math-related studies or careers is close to zero among the poorest performers in math and increases steadily with math performance. Third, as a consequence, the gender gap in math performance, to the detriment of girls, is larger among students intending to pursue math than in the general student population.

Suggested Citation

  • Thomas Breda & Elyès Jouini & Clotilde Napp, 2023. "Gender differences in the intention to study math increase with math performance," Post-Print halshs-04155403, HAL.
  • Handle: RePEc:hal:journl:halshs-04155403
    DOI: 10.1038/s41467-023-39079-z
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-04155403
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-04155403/document
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-39079-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Delaney, Judith M. & Devereux, Paul J., 2019. "It's Not Just for Boys! Understanding Gender Differences in STEM," IZA Discussion Papers 12176, Institute of Labor Economics (IZA).
    2. Thomas Breda & Elyès Jouini & Clotilde Napp & Georgia Thebault, 2020. "Gender stereotypes can explain the gender-equality paradox," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(49), pages 31063-31069, December.
    3. Francine D. Blau & Lawrence M. Kahn, 2017. "The Gender Wage Gap: Extent, Trends, and Explanations," Journal of Economic Literature, American Economic Association, vol. 55(3), pages 789-865, September.
    4. Clotilde Napp & Thomas Breda, 2022. "The stereotype that girls lack talent: A worldwide investigation," PSE-Ecole d'économie de Paris (Postprint) halshs-03672465, HAL.
    5. Dan A. Black & Amelia M. Haviland & Seth G. Sanders & Lowell J. Taylor, 2008. "Gender Wage Disparities among the Highly Educated," Journal of Human Resources, University of Wisconsin Press, vol. 43(3), pages 630-659.
    6. 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.
    7. Shulamit Kahn & Donna Ginther, 2017. "Women and STEM," NBER Working Papers 23525, National Bureau of Economic Research, Inc.
    8. Brown, Charles & Corcoran, Mary, 1997. "Sex-Based Differences in School Content and the Male-Female Wage Gap," Journal of Labor Economics, University of Chicago Press, vol. 15(3), pages 431-465, July.
    9. 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.
    10. Breda, Thomas & Grenet, Julien & Monnet, Marion & Van Effenterre, Clémentine, 2020. "Do Female Role Models Reduce the Gender Gap in Science? Evidence from French High Schools," IZA Discussion Papers 13163, Institute of Labor Economics (IZA).
    11. Clotilde Napp & Thomas Breda, 2022. "The stereotype that girls lack talent: A worldwide investigation," Post-Print hal-03911361, HAL.
    12. 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.
    13. Clotilde Napp & Thomas Breda, 2022. "The stereotype that girls lack talent: A worldwide investigation," PSE-Ecole d'économie de Paris (Postprint) hal-03911361, HAL.
    14. Clotilde Napp & Thomas Breda, 2022. "The stereotype that girls lack talent: A worldwide investigation," Post-Print halshs-03672465, HAL.
    15. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. Kerstin Grosch & Simone Haeckl & Martin G. Kocher, 2022. "Closing the Gender STEM Gap - A Large-Scale Randomized-Controlled Trial in Elementary Schools," CESifo Working Paper Series 9907, CESifo.
    4. Grosch, Kerstin & Häckl, Simone & Kocher, Martin G., 2022. "Closing the gender STEM gap," Department of Economics Working Paper Series 329, WU Vienna University of Economics and Business.
    5. Delaney, Judith M. & Devereux, Paul J., 2021. "Gender and Educational Achievement: Stylized Facts and Causal Evidence," IZA Discussion Papers 14074, Institute of Labor Economics (IZA).
    6. Thomas Breda & Joyce Sultan Parraud & Lola Touitou, 2024. "Early Gendered Performance Gaps in Math: An Investigation on French Data," Institut des Politiques Publiques halshs-04414597, HAL.
    7. 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.
    8. 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).
    9. Chiara Cavaglia & Stephen Machin & Sandra McNally & Jenifer Ruiz-Valenzuela, 2020. "Gender, achievement, and subject choice in English education," CVER Research Papers 032, Centre for Vocational Education Research.
    10. Julia Philipp, 2023. "Gendered university major choice: the role of intergenerational transmission," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 1049-1097, April.
    11. Jia, Ning, 2021. "Do stricter high school math requirements raise college STEM attainment?," Economics of Education Review, Elsevier, vol. 83(C).
    12. Kuhn, Andreas & Wolter, Stefan C., 2022. "Things versus People: Gender Differences in Vocational Interests and in Occupational Preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 210-234.
    13. 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.
    14. Chise Diana & Fort Margherita & Monfardini Chiara, 2021. "On the Intergenerational Transmission of STEM Education among Graduate Students," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 21(1), pages 115-145, January.
    15. Delaney, Judith M. & Devereux, Paul J., 2021. "High School Rank in Math and English and the Gender Gap in STEM," Labour Economics, Elsevier, vol. 69(C).
    16. Laura Pagani & Giovanni Pica, 2021. "A Peer Like Me? Early Exposure to High Achievers in Math and Later Educational Outcomes," Development Working Papers 476, Centro Studi Luca d'Agliano, University of Milano.
    17. Sofoklis Goulas & Rigissa Megalokonomou & Yi Zhang, 2024. "Female Classmates, Disruption, and STEM Outcomes in Disadvantaged Schools: Evidence from a Randomized Natural Experiment," Monash Economics Working Papers 2024-01, Monash University, Department of Economics.
    18. Michelle Barrett & Karina Doorley & Paul Redmond & Barra Roantree, 2022. "How Has the Gender Earnings Gap in Ireland Changed in Thirty Years?," Social Sciences, MDPI, vol. 11(8), pages 1-21, August.
    19. Judith M. Delaney & Paul J. Devereux, 2020. "How Gender and Prior Disadvantage Predict Performance in College," The Economic and Social Review, Economic and Social Studies, vol. 51(2), pages 189-239.
    20. Aldén, Lina & Neuman, Emma, 2022. "Culture and the gender gap in choice of major: An analysis using sibling comparisons," Journal of Economic Behavior & Organization, Elsevier, vol. 201(C), pages 346-373.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:halshs-04155403. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.