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More Women in Tech? Evidence from a field experiment addressing social identity

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  • Guadalupe, Maria
  • Del Carpio, Lucia

Abstract

This paper investigates whether social identity considerations-through beliefs and norms- drive women’s occupational choices. We implement two field experiments with potential applicants to a five-month software-coding program offered to women from low-income backgrounds in Peru and Mexico. When we correct the perception that women cannot succeed in technology by providing role models, information on returns and access to a female network, application rates double and the self-selection patterns change. Analysis of those patterns suggests that identity considerations act as barriers to entering the technology sector and that some high-cognitive skill women do not apply because of their high identity costs.

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  • Guadalupe, Maria & Del Carpio, Lucia, 2018. "More Women in Tech? Evidence from a field experiment addressing social identity," CEPR Discussion Papers 13234, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:13234
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    Cited by:

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    3. So Yoon Ahn & Youjin Hahn & Semee Yoon, 2021. "Can New Learning Opportunities Reshape Gender Attitudes for Girls?: Field Evidence from Tanzania," Working Papers 2021-046, Human Capital and Economic Opportunity Working Group.
    4. Guido Friebel & Matthias Heinz & Mitchell Hoffman & Nick Zubanov, 2023. "What Do Employee Referral Programs Do? Measuring the Direct and Overall Effects of a Management Practice," Journal of Political Economy, University of Chicago Press, vol. 131(3), pages 633-686.
    5. Clotilde Napp & Thomas Breda, 2022. "The stereotype that girls lack talent: A worldwide investigation," Post-Print halshs-03672465, 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. Beber, Bernd & Dworschak, Regina & Lakemann, Tabea & Lay, Jann & Priebe, Jan, 2021. "Skills Development and Training Interventions in Africa: Findings, Challenges, and Opportunities," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 247426.
    8. Clotilde Napp & Thomas Breda, 2022. "The stereotype that girls lack talent: A worldwide investigation," PSE-Ecole d'économie de Paris (Postprint) halshs-03672465, HAL.
    9. Biewen, Martin & Schwerter, Jakob, 2019. "Does More Math in High School Increase the Share of Female STEM Workers? Evidence from a Curriculum Reform," IZA Discussion Papers 12236, Institute of Labor Economics (IZA).
    10. Sandor Katona & Anna Lovasz, 2021. "The Role of the Gender Composition of Performance Feedback on Peers in Shaping Persistence and Performance," CERS-IE WORKING PAPERS 2105, Institute of Economics, Centre for Economic and Regional Studies.
    11. Flory, Jeffrey A. & Leibbrandt, Andreas & Rott, Christina & Stoddard, Olga B., 2021. "Signals from On High and the Power of Growth Mindset: A Natural Field Experiment in Attracting Minorities to High-Profile Positions," IZA Discussion Papers 14383, Institute of Labor Economics (IZA).
    12. Agurto, M. & Bazan, M. & Hari, S. & Sarangi, S., 2021. "Women in Engineering: The Role of Role Models," GLO Discussion Paper Series 975, Global Labor Organization (GLO).

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    More about this item

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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