IDEAS home Printed from https://ideas.repec.org/p/fda/fdaeee/eee2024-17.html

Some searches may not work properly. We apologize for the inconvenience.

   My bibliography  Save this paper

AI and Digital Technology: Gender Gaps in Higher Education

Author

Listed:
  • José Ignacio Conde-Ruiz
  • Juan José Ganuza
  • Manu García
  • Carlos Victoria

Abstract

This article examines gender gaps in higher education in Spain from 1985 to 2023 in the context of technological advancements, particularly digitalization and artificial intelligence (AI). We identify significant disparities, with women overrepresented in health-related fields and underrepresented in STEM disciplines. This imbalance is concerning as STEM fields offer better employment prospects and higher salaries. We analyze university degrees' exposure to technological change through Routine Task Intensity (RTI) and AI exposure indices. Our findings show that women are more enrolled in degrees with high RTI, prone to automation, and less in degrees with high AI exposure, likely to benefit from technological advancements. This suggests technological change could widen existing labor market gender gaps. To address this, we recommend policies to boost female participation in STEM fields and adapt educational curricula to reduce routine tasks and enhance AI complementarities, ensuring equitable labor market outcomes amid technological change.

Suggested Citation

  • José Ignacio Conde-Ruiz & Juan José Ganuza & Manu García & Carlos Victoria, 2024. "AI and Digital Technology: Gender Gaps in Higher Education," Studies on the Spanish Economy eee2024-17, FEDEA.
    • Handle: RePEc:fda:fdaeee:eee2024-17
    as

    Download full text from publisher

    File URL: https://documentos.fedea.net/pubs/eee/2024/eee2024-17.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Daron Acemoglu & Pascual Restrepo, 2020. "The wrong kind of AI? Artificial intelligence and the future of labour demand," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
    2. Hanushek, Eric A. & Schwerdt, Guido & Wiederhold, Simon & Woessmann, Ludger, 2015. "Returns to skills around the world: Evidence from PIAAC," European Economic Review, Elsevier, vol. 73(C), pages 103-130.
    3. Daron Acemoglu, 2024. "The Simple Macroeconomics of AI," NBER Working Papers 32487, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tommaso AGASISTI & Geraint JOHNES & Marco PACCAGNELLA, 2021. "Tasks, occupations and wages in OECD countries," International Labour Review, International Labour Organization, vol. 160(1), pages 85-112, March.
    2. Görlitz, Katja & Penny, Merlin & Tamm, Marcus, 2022. "The long-term effect of age at school entry on cognitive competencies in adulthood," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 91-104.
    3. Barrett, Garry F. & Riddell, W. Craig, 2019. "Ageing and Skills: The Case of Literacy Skills," IZA Discussion Papers 12073, Institute of Labor Economics (IZA).
    4. Catherine Haeck & Pierre Lefebvre, 2020. "The Evolution of Cognitive Skills Inequalities by Socioeconomic Status across Canada," Working Papers 20-04, Research Group on Human Capital, University of Quebec in Montreal's School of Management.
    5. Michael J. Kottelenberg & Steven F. Lehrer, 2019. "How Skills and Parental Valuation of Education Influence Human Capital Acquisition and Early Labor Market Return to Human Capital in Canada," Journal of Labor Economics, University of Chicago Press, vol. 37(S2), pages 735-778.
    6. Lucia Mateos & Ines Murillo & Maria del Mar Salinas, 2014. "Desajuste educativo y competencias cognitivas: efectos sobre los salarios," Hacienda Pública Española / Review of Public Economics, IEF, vol. 210(3), pages 85-108, September.
    7. Evangelos Katsamakas & Oleg V. Pavlov & Ryan Saklad, 2024. "Artificial intelligence and the transformation of higher education institutions," Papers 2402.08143, arXiv.org.
    8. Monika Köppl-turyna & Michael Christl, 2018. "Returns to Skills or Returns to Tasks? A Comment on Hanushek et al. (2015)," Economics Bulletin, AccessEcon, vol. 38(2), pages 783-790.
    9. Stefano Gagliarducci & Marco Manacorda, 2020. "Politics in the Family: Nepotism and the Hiring Decisions of Italian Firms," American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 67-95, April.
    10. Altinok, Nadir & Aydemir, Abdurrahman, 2017. "Does one size fit all? The impact of cognitive skills on economic growth," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 176-190.
    11. Driouchi, Ahmed & Harkat, Tahar, 2016. "Macroeconomic and School Variables to Reveal Country Choices of General and Vocational Education: A Cross-Country Analysis with focus on Arab Economies," MPRA Paper 73455, University Library of Munich, Germany.
    12. Simon Reinwald & Silvia Annen, 2023. "Influence of Gender and Prior Education Intersectionality on Further Education Investments and Job Satisfaction," SAGE Open, , vol. 13(2), pages 21582440231, June.
    13. José Ignacio Conde-Ruiz & Juan José Ganuza & Manu García & Carlos Victoria, 2024. "La Demanda de Educación Superior ante el Cambio Tecnológico y la Inteligencia Artificial," Studies on the Spanish Economy eee2024-09, FEDEA.
    14. George J Borjas & Ilpo Kauppinen & Panu Poutvaara, 2019. "Self-selection of Emigrants: Theory and Evidence on Stochastic Dominance in Observable and Unobservable Characteristics," The Economic Journal, Royal Economic Society, vol. 129(617), pages 143-171.
    15. Garibaldi, Pietro & Gomes, Pedro Maia & Sopraseuth, Thepthida, 2020. "Output Costs of Education and Skill Mismatch," IZA Discussion Papers 12974, Institute of Labor Economics (IZA).
    16. Ganzach, Yoav & Patel, Pankaj C., 2018. "Wages, mental abilities and assessments in large scale international surveys: Still not much more than g," Intelligence, Elsevier, vol. 69(C), pages 1-7.
    17. Hanushek, Eric A. & Peterson, Paul E. & Talpey, Laura M. & Woessmann, Ludger, 2019. "The Unwavering SES Achievement Gap: Trends in U.S. Student Performance," Working Paper Series rwp19-012, Harvard University, John F. Kennedy School of Government.
    18. Rathi, Sawan & Majumdar, Adrija & Chatterjee, Chirantan, 2024. "Did the COVID-19 pandemic propel usage of AI in pharmaceutical innovation? New evidence from patenting data," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    19. Sven Resnjanskij & Jens Ruhose & Simon Wiederhold & Ludger Woessmann & Katharina Wedel, 2024. "Can Mentoring Alleviate Family Disadvantage in Adolescence? A Field Experiment to Improve Labor Market Prospects," Journal of Political Economy, University of Chicago Press, vol. 132(3), pages 1013-1062.
    20. Piopiunik, Marc & Schwerdt, Guido & Simon, Lisa & Woessmann, Ludger, 2020. "Skills, signals, and employability: An experimental investigation," European Economic Review, Elsevier, vol. 123(C).

    More about this item

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • 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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fda:fdaeee:eee2024-17. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Carmen Arias (email available below). General contact details of provider: https://www.fedea.net .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.