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More Women in Tech? Evidence from a Field Experiment Addressing Social Identity

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  • Del Carpio, Lucía

    (INSEAD)

  • Guadalupe, Maria

    (INSEAD)

Abstract

This paper investigates whether social identity considerations-through beliefs and normsdrive 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.

Suggested Citation

  • Del Carpio, Lucía & Guadalupe, Maria, 2018. "More Women in Tech? Evidence from a Field Experiment Addressing Social Identity," IZA Discussion Papers 11876, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp11876
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    1. Ernesto Dal Bó & Frederico Finan & Martín A. Rossi, 2013. "Strengthening State Capabilities: The Role of Financial Incentives in the Call to Public Service," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(3), pages 1169-1218.
    2. Katherine Baldiga Coffman, 2014. "Evidence on Self-Stereotyping and the Contribution of Ideas," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1625-1660.
    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. Marianne Bertrand & Emir Kamenica & Jessica Pan, 2015. "Gender Identity and Relative Income within Households," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(2), pages 571-614.
    5. Ioana Marinescu & Ronald Wolthoff, 2020. "Opening the Black Box of the Matching Function: The Power of Words," Journal of Labor Economics, University of Chicago Press, vol. 38(2), pages 535-568.
    6. Armin Falk & Anke Becker & Thomas Dohmen & David Huffman & Uwe Sunde, 2023. "The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences," Management Science, INFORMS, vol. 69(4), pages 1935-1950, April.
    7. Jeffrey A. Flory & Andreas Leibbrandt & John A. List, 2015. "Do Competitive Workplaces Deter Female Workers? A Large-Scale Natural Field Experiment on Job Entry Decisions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(1), pages 122-155.
    8. A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
    9. George J. Borjas, 2021. "Self-Selection and the Earnings of Immigrants," World Scientific Book Chapters, in: Foundational Essays in Immigration Economics, chapter 4, pages 69-91, World Scientific Publishing Co. Pte. Ltd..
    10. Alex Bell & Raj Chetty & Xavier Jaravel & Neviana Petkova & John Van Reenen, 2019. "Who Becomes an Inventor in America? The Importance of Exposure to Innovation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 647-713.
    11. Eric Luis Uhlmann & Anthony Greenwald & Andrew Poehlmann & Mahzarin Banaji, 2009. "Understanding and Using the Implicit Association Test: III. Meta-Analysis of Predictive Validity," Post-Print hal-00516146, HAL.
    12. Jeffrey A. Flory & Andreas Leibbrandt & John A. List, 2010. "Do Competitive Work Places Deter Female Workers? A Large-Scale Natural Field Experiment on Gender Differences in Job-Entry Decisions," NBER Working Papers 16546, National Bureau of Economic Research, Inc.
    13. Nava Ashraf & Oriana Bandiera & Scott Lee, 2014. "Do-gooders and go-getters: career incentives, selection, and performance in public service delivery," STICERD - Economic Organisation and Public Policy Discussion Papers Series 54, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
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    2. 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.
    3. Clotilde Napp & Thomas Breda, 2022. "The stereotype that girls lack talent: A worldwide investigation," Post-Print halshs-03672465, HAL.
    4. 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, March.
    5. 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).
    6. 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).
    7. Beber, Bernd & Lakemann, Tabea & Schnars, Regina & Lay, Jann, 2024. "Employment effects of skills trainings in Sub-Saharan Africa: A systematic review of recent randomized controlled trials," Ruhr Economic Papers 1080, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. 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).
    9. Fruttero,Anna & Muller,Noel & Calvo-Gonzalez,Oscar, 2021. "The Power and Roots of Aspirations : A Survey of the Empirical Evidence," Policy Research Working Paper Series 9729, The World Bank.
    10. 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.
    11. Delfino, Alexia, 2021. "Breaking Gender Barriers: Experimental Evidence on Men in Pink-Collar Jobs," IZA Discussion Papers 14083, Institute of Labor Economics (IZA).
    12. Clotilde Napp & Thomas Breda, 2022. "The stereotype that girls lack talent: A worldwide investigation," PSE-Ecole d'économie de Paris (Postprint) halshs-03672465, HAL.
    13. 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.

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    More about this item

    Keywords

    social norms; occupational segregation; identity;
    All these keywords.

    JEL classification:

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

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