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Hacking Gender Stereotypes: Girls' Participation in Coding Clubs

Author

Listed:
  • Michela Carlana
  • Margherita Fort

Abstract

Who are the girls who decide to sign up for science, technology, engineering, and mathematics (STEM) programs and coding clubs? In this paper, we rely on a large set of survey data from students to analyze how female students who apply to coding clubs differ from other students in the schools. Girls applying to coding clubs have higher STEM interest, but they perceive their own gender as a stronger barrier to achieve their educational goals. Supporting this pool of female applicants with STEM programs might have a substantial role in affecting their educational and occupational careers and closing the gender gaps in occupational choices.

Suggested Citation

  • Michela Carlana & Margherita Fort, 2022. "Hacking Gender Stereotypes: Girls' Participation in Coding Clubs," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 583-587, May.
    • Handle: RePEc:aea:apandp:v:112:y:2022:p:583-87
    DOI: 10.1257/pandp.20221085
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    File URL: https://doi.org/10.3886/E168821V1
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    Cited by:

    1. Gomez-Ruiz, Marcela & Cervini-Plá, María & Ramos, Xavier, 2024. "Do Women Fare Worse When Men Are Around? Quasi-Experimental Evidence," IZA Discussion Papers 16782, Institute of Labor Economics (IZA).

    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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