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Girls' Comparative Advantage in Reading Can Largely Account for the Gender Gap in Math-Intensive Fields

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  • Breda, Thomas

    (Paris School of Economics)

  • Napp, Clotilde

    (CNRS)

Abstract

Gender differences in math performance are now small in developed countries and they cannot explain on their own the strong under-representation of women in math-related fields. This latter result is however no longer true once gender differences in reading performance are also taken into account. Using individual-level data on 300,000 15-year-old students in 64 countries, we show that the difference between a student performance in reading and math is 80% of a standard deviation larger for girls than boys, a magnitude considered as very large. When this difference is controlled for, the gender gap in students' intentions to pursue math-intensive studies and careers is reduced by around 75%, while gender gaps in self-concept in math, declared interest for math or attitudes towards math entirely disappear. These latter variables are also much less able to explain the gender gap in intentions to study math than is students' difference in performance between math and reading. These results are in line with choice models in which educational decisions involve intra-individual comparisons of achievement and self-beliefs in different subjects as well as cultural norms regarding gender. To directly show that intra-individual comparisons of achievement impact students' intended careers, we use differences across schools in teaching resources dedicated to math and reading as exogenous variations of students comparative advantage for math. Results confirm that the comparative advantage in math with respect to reading at the time of making educational choices plays a key role in the process leading to women's under-representation in math-intensive fields.

Suggested Citation

  • 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).
  • Handle: RePEc:iza:izadps:dp12503
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    References listed on IDEAS

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    1. José Luis Montiel Olea & Carolin Pflueger, 2013. "A Robust Test for Weak Instruments," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 358-369, July.
    2. Gary Solon & Steven J. Haider & Jeffrey M. Wooldridge, 2015. "What Are We Weighting For?," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 301-316.
    3. 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," Working Papers halshs-01713068, HAL.
    4. Gijsbert Stoet & Drew H Bailey & Alex M Moore & David C Geary, 2016. "Countries with Higher Levels of Gender Equality Show Larger National Sex Differences in Mathematics Anxiety and Relatively Lower Parental Mathematics Valuation for Girls," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-24, April.
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    Cited by:

    1. Amanda Chuan & John A. List & Anya Samek & Shreemayi Samujjwala, 2022. "Parental Investments in Early Childhood and the Gender Gap in Math and Literacy," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 603-608, May.
    2. 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).
    3. Goulas, Sofoklis & Griselda, Silvia & Megalokonomou, Rigissa, 2020. "Comparative Advantage and Gender Gap in STEM," IZA Discussion Papers 13313, Institute of Labor Economics (IZA).
    4. Lenka Fiala & John Eric Humphries & Juanna Schrøter Joensen & Uditi Karna & John A. List & Gregory F. Veramendi, 2022. "How Early Adolescent Skills and Preferences Shape Economics Education Choices," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 609-613, May.
    5. Quan-Hoang Vuong & Thanh-Hang Pham & Trung Tran & Thu-Trang Vuong & Nguyen Manh Cuong & Nguyen Phuc Khanh Linh & Viet-Phuong La & Manh Toan Ho, 2020. "STEM education and outcomes in Vietnam: Views from the social gap and gender issues," Working Papers CEB 20-003, ULB -- Universite Libre de Bruxelles.
    6. Giofrè, D. & Cornoldi, C. & Martini, A. & Toffalini, E., 2020. "A population level analysis of the gender gap in mathematics: Results on over 13 million children using the INVALSI dataset," Intelligence, Elsevier, vol. 81(C).
    7. Ho, Manh-Toan & La, Viet-Phuong & Nguyen, Minh-Hoang & Pham, Thanh-Hang & Vuong, Thu-Trang & Vuong, Ha-My & Pham, Hung-Hiep & Hoang, Anh-Duc & Vuong, Quan-Hoang, 2020. "An analytical view on STEM education and outcomes: Examples of the social gap and gender disparity in Vietnam," Children and Youth Services Review, Elsevier, vol. 119(C).
    8. Heidi A Vuletich & Beth Kurtz-Costes & Erin Cooley & B Keith Payne, 2020. "Math and language gender stereotypes: Age and gender differences in implicit biases and explicit beliefs," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-22, September.
    9. Khudadad, Nahida & Mickelson, Roslyn Arlin, 2021. "School built environment, gender, and student achievement in Pakistan," International Journal of Educational Development, Elsevier, vol. 87(C).

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    More about this item

    Keywords

    comparative advantage; students' achievement; math-intensive fields; gender gap;
    All these keywords.

    JEL classification:

    • 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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