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Gender Differences in High School Choices: Do Math and Language Skills Play a Role?

Author

Listed:
  • Contini, Dalit

    (University of Torino)

  • Di Tommaso, Maria Laura

    (University of Torino)

  • Maccagnan, Anna

    (University of Torino)

  • Mendolia, Silvia

    (University of Torino)

Abstract

This paper focuses on the gendered choice of high school in the Italian context, where children are tracked at age 14 and are free to choose the type of school, with no binding teacher recommendation or ability restriction. It is therefore a context in which preferences, however influenced by different factors, are freely expressed, without any institutional constraints imposed on the decision-making process. Previous literature has mainly analysed gendered educational choices by focusing on the field at later stages in life. The transition from lower secondary to upper secondary school is particularly relevant for children who do not go on to university and can help to understand gender segregation in low and middle-level occupations. We analyse the role of school performance in mathematics and Italian (teacher grades and standardized test scores), the position in the class ranking, the comparative advantage in one subject and find that, while school performance hardly explains the gender gap for the children with low educated parents, it explains part of the gender gap observed for children from more advantaged backgrounds.

Suggested Citation

  • Contini, Dalit & Di Tommaso, Maria Laura & Maccagnan, Anna & Mendolia, Silvia, 2023. "Gender Differences in High School Choices: Do Math and Language Skills Play a Role?," IZA Discussion Papers 16584, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp16584
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    References listed on IDEAS

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    1. Anne Ardila Brenøe & Ulf Zölitz, 2020. "Exposure to More Female Peers Widens the Gender Gap in STEM Participation," Journal of Labor Economics, University of Chicago Press, vol. 38(4), pages 1009-1054.
    2. Jeffrey T. Denning & Richard Murphy & Felix Weinhardt, 2023. "Class Rank and Long-Run Outcomes," The Review of Economics and Statistics, MIT Press, vol. 105(6), pages 1426-1441, November.
    3. Daniele Checchi & Luca Flabbi, 2013. "Intergenerational Mobility and Schooling Decisions in Germany and Italy: The Impact of Secondary School Tracks," Rivista di Politica Economica, SIPI Spa, issue 3, pages 7-57, July-Sept.
    4. Richard Murphy & Felix Weinhardt, 2020. "Top of the Class: The Importance of Ordinal Rank," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(6), pages 2777-2826.
    5. 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.
    6. David Card & A. Abigail Payne, 2021. "High School Choices And The Gender Gap In Stem," Economic Inquiry, Western Economic Association International, vol. 59(1), pages 9-28, January.
    7. Thomas Buser & Muriel Niederle & Hessel Oosterbeek, 2014. "Gender, Competitiveness, and Career Choices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(3), pages 1409-1447.
    8. Scott E. Carrell & Mark Hoekstra & Elira Kuka, 2018. "The Long-Run Effects of Disruptive Peers," American Economic Review, American Economic Association, vol. 108(11), pages 3377-3415, November.
    9. 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.
    10. Victor Lavy & Analia Schlosser, 2011. "Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(2), pages 1-33, April.
    11. Barbara F. Reskin & Denise D. Bielby, 2005. "A Sociological Perspective on Gender and Career Outcomes," Journal of Economic Perspectives, American Economic Association, vol. 19(1), pages 71-86, Winter.
    12. 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.
    13. Pierre Mouganie & Yaojing Wang, 2020. "High-Performing Peers and Female STEM Choices in School," Journal of Labor Economics, University of Chicago Press, vol. 38(3), pages 805-841.
    14. Scott E. Carrell & Mark L. Hoekstra, 2010. "Externalities in the Classroom: How Children Exposed to Domestic Violence Affect Everyone's Kids," American Economic Journal: Applied Economics, American Economic Association, vol. 2(1), pages 211-228, January.
    15. Muriel Niederle & Carmit Segal & Lise Vesterlund, 2013. "How Costly Is Diversity? Affirmative Action in Light of Gender Differences in Competitiveness," Management Science, INFORMS, vol. 59(1), pages 1-16, May.
    16. 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.
    17. 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.
    18. Victor Lavy & Analía Schlosser, 2011. "Corrigendum: Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 268-268, July.
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    More about this item

    Keywords

    gender gap; high school choices; school performance; STEM fields;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • 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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