IDEAS home Printed from https://ideas.repec.org/a/spr/chinre/v13y2020i4d10.1007_s12187-019-09701-y.html
   My bibliography  Save this article

Out-of-School Use of Time and Its Association with Gender Differences in Educational Outcomes

Author

Listed:
  • Luis Alejandro Lopez-Agudo

    (Universidad de Malaga)

  • Miguel Ángel Ropero-García

    (Universidad de Malaga)

Abstract

Recent gender literature has highlighted that boys and girls devote their out-of-school time in dissimilar ways, which may differentially influence their academic achievement. Furthermore, this literature indicates that these gender differences may be rooted in society’s gender stereotypes when using this time. To analyse this issue we employ longitudinal and census data for the Spanish region of Andalusia, making use of recent methodological innovations in the Oaxaca-Blinder gender decomposition technique. Our results have shown that girls outperform boys in reading, whereas boys get better grades in mathematics. We also found that there are no significant gender differences in the educational returns on time devoted to homework and that the gender differences in the time devoted to watching television and in the time devoted to playing video games and computer games narrow the female advantage in reading and widen the male advantage in mathematics.

Suggested Citation

  • Luis Alejandro Lopez-Agudo & Miguel Ángel Ropero-García, 2020. "Out-of-School Use of Time and Its Association with Gender Differences in Educational Outcomes," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 13(4), pages 1335-1369, August.
    • Handle: RePEc:spr:chinre:v:13:y:2020:i:4:d:10.1007_s12187-019-09701-y
    DOI: 10.1007/s12187-019-09701-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12187-019-09701-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12187-019-09701-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nicole M. Fortin & Philip Oreopoulos & Shelley Phipps, 2015. "Leaving Boys Behind: Gender Disparities in High Academic Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 50(3), pages 549-579.
    2. Hyll, Walter & Schneider, Lutz, 2013. "The causal effect of watching TV on material aspirations: Evidence from the “valley of the innocent”," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 37-51.
    3. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    4. J. Ignacio Garc𫑐鲥z & Marisa Hidalgo-Hidalgo & J. Antonio Robles-Zurita, 2014. "Does grade retention affect students' achievement? Some evidence from Spain," Applied Economics, Taylor & Francis Journals, vol. 46(12), pages 1373-1392, April.
    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. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    2. Chen, Yiu Por (Vincent) & Zhang, Yuan, 2018. "A decomposition method on employment and wage discrimination and its application in urban China (2002–2013)," World Development, Elsevier, vol. 110(C), pages 1-12.
    3. Maria Cattaneo & Stefan Wolter, 2015. "Better migrants, better PISA results: Findings from a natural experiment," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-19, December.
    4. Gloria Moroni, 2018. "Explaining Divorce Gaps in Cognitive and Noncognitive Skills of Children," Discussion Papers 18/16, Department of Economics, University of York.
    5. Nguyen, Ha, 2015. "The evolution of the gender test score gap through seventh grade: New insights from Australia using quantile regression and decomposition," MPRA Paper 67586, University Library of Munich, Germany.
    6. Duygu Buyukyazici, 2023. "The Gender Dimension of Industrial Diversification: What is the Role of Skills Gap?," Papers in Evolutionary Economic Geography (PEEG) 2319, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2023.
    7. Deborah A. Cobb-Clark & Julie Moschion, 2017. "Gender gaps in early educational achievement," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(4), pages 1093-1134, October.
    8. María Ladrón de Guevara Rodríguez & Oscar David Marcenaro-Gutierrez & Luis Alejandro Lopez-Agudo, 2023. "On the Gender Gap of Soft-Skills: the Spanish Case," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(1), pages 167-197, February.
    9. Thomas Y. Mathä & Alessandro Porpiglia & Michael Ziegelmeyer, 2014. "Wealth differences across borders and the effect of real estate price dynamics: Evidence from two household surveys," BCL working papers 90, Central Bank of Luxembourg.
    10. Matias Busso & Patrick Kline, 2008. "Do Local Economic Development Programs Work? Evidence from the Federal Empowerment Zone Program," Cowles Foundation Discussion Papers 1639, Cowles Foundation for Research in Economics, Yale University.
    11. Marco Caliendo & Frank M. Fossen & Alexander Kritikos & Miriam Wetter, 2015. "The Gender Gap in Entrepreneurship: Not just a Matter of Personality," CESifo Economic Studies, CESifo, vol. 61(1), pages 202-238.
    12. Alison L. Booth, 2006. "The Glass Ceiling in Europe: Why Are Women Doing Badly in the Labour Market?," CEPR Discussion Papers 542, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    13. Valentine Fays & Benoît Mahy & François Rycx, 2023. "Wage differences according to workers' origin: The role of working more upstream in GVCs," LABOUR, CEIS, vol. 37(2), pages 319-342, June.
    14. Michael E. Martell & Peyton Nash, 2020. "For Love and Money? Earnings and Marriage Among Same-Sex Couples," Journal of Labor Research, Springer, vol. 41(3), pages 260-294, September.
    15. Howard Bodenhorn & Christopher Ruebeck, 2007. "Colourism and African–american wealth: evidence from the nineteenth-century south," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(3), pages 599-620, July.
    16. Ward-Warmedinger, Melanie E., 1999. "Salary and the Gender Salary Gap in the Academic Profession," IZA Discussion Papers 64, Institute of Labor Economics (IZA).
    17. Sieds, 2017. "Complete Volume LXXI n. 3 2017," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 71(3), pages 1-150, July-Sept.
    18. Ilhom Abdulloev & Ira N Gang & Myeong-Su Yun, 2014. "Migration, Education and the Gender Gap in Labour Force Participation," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 26(4), pages 509-526, September.
    19. David Bravo Urrutia & Sergio Urzúa & Claudia Sanhueza, 2007. "Is There Labor Market Discrimination Among Professionals In Chile? Lawyers, Doctors And Business-People," Working Papers wp264, University of Chile, Department of Economics.
    20. Mathieu Narcy & Joseph Lanfranchi & Chloé Duvivier, 2016. "Les sources de l’écart de rémunération entre femmes et hommes dans la fonction publique," Économie et Statistique, Programme National Persée, vol. 488(1), pages 123-150.

    More about this item

    Keywords

    J16; I21; B54;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • B54 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Feminist Economics

    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:spr:chinre:v:13:y:2020:i:4:d:10.1007_s12187-019-09701-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.