IDEAS home Printed from https://ideas.repec.org/p/unm/umaror/2010006.html
   My bibliography  Save this paper

An economic model of the evolution of the gender performance ratio in individual sports

Author

Listed:
  • Dupuy, A.

    (Research Centre for Educ and Labour Mark)

Abstract

This paper shows that the Gender World Record Ratio (GWRR) in four disciplines, i.e. marathon, triple jump, pole vault and 800 meters, follows a S-shape over time. It is argued that this pattern is the result of the late authorization of women to participate in these disciplines at major events. A simple economic model is built to understand this mechanism. The model is shown to predict a S-shaped GWRR in disciplines with late autorization for women to participate. Comparing the evolution of the GWRR in triple jump to that in long jump enables us to downplay the relative importance of technological developments in the narrowing of the gender gap in performance. Since participation at major events is no longer gender-biased, we may conclude that the GWRR is likely to remain stable in the future.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Dupuy, A., 2010. "An economic model of the evolution of the gender performance ratio in individual sports," ROA Research Memorandum 006, Maastricht University, Research Centre for Education and the Labour Market (ROA).
  • Handle: RePEc:unm:umaror:2010006
    DOI: 10.26481/umaror.2010006
    as

    Download full text from publisher

    File URL: https://cris.maastrichtuniversity.nl/ws/files/1221563/guid-41d47bda-06a0-4e6b-9737-ba03a334660a-ASSET1.0.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.26481/umaror.2010006?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
    2. Lalith Munasinghe & Brendan O'Flaherty & Stephan Danninger, 2001. "Globalization and the Rate of Technological Progress: What Track and Field Records Show," Journal of Political Economy, University of Chicago Press, vol. 109(5), pages 1132-1149, October.
    3. Casey B. Mulligan & Yona Rubinstein, 2008. "Selection, Investment, and Women's Relative Wages Over Time," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(3), pages 1061-1110.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bernd Frick, 2011. "Gender Differences in Competitive Orientations: Empirical Evidence from Ultramarathon Running," Journal of Sports Economics, , vol. 12(3), pages 317-340, June.
    2. Böheim, René & Lackner, Mario, 2013. "Gender and Competition: Evidence from Jumping Competitions," IZA Discussion Papers 7243, Institute of Labor Economics (IZA).
    3. Chang‐Tai Hsieh & Erik Hurst & Charles I. Jones & Peter J. Klenow, 2019. "The Allocation of Talent and U.S. Economic Growth," Econometrica, Econometric Society, vol. 87(5), pages 1439-1474, September.
    4. Frick, Bernd, 2011. "Gender differences in competitiveness: Empirical evidence from professional distance running," Labour Economics, Elsevier, vol. 18(3), pages 389-398, June.

    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. Michael J. Böhm, 2020. "The price of polarization: Estimating task prices under routine‐biased technical change," Quantitative Economics, Econometric Society, vol. 11(2), pages 761-799, May.
    2. Claudia Olivetti & Barbara Petrongolo, 2008. "Unequal Pay or Unequal Employment? A Cross-Country Analysis of Gender Gaps," Journal of Labor Economics, University of Chicago Press, vol. 26(4), pages 621-654, October.
    3. Kaya, Ezgi, 2014. "Gender Wage Gap Trends in Europe: The Role of Occupational Allocation and Skill Prices," Cardiff Economics Working Papers E2014/23, Cardiff University, Cardiff Business School, Economics Section.
    4. Ortega, Javier & Verdugo, Gregory, 2014. "The impact of immigration on the French labor market: Why so different?," Labour Economics, Elsevier, vol. 29(C), pages 14-27.
    5. Michael Bar & Seik Kim & Oksana Leukhina, 2015. "Gender Wage Gap Accounting: The Role of Selection Bias," Demography, Springer;Population Association of America (PAA), vol. 52(5), pages 1729-1750, October.
    6. Chang‐Tai Hsieh & Erik Hurst & Charles I. Jones & Peter J. Klenow, 2019. "The Allocation of Talent and U.S. Economic Growth," Econometrica, Econometric Society, vol. 87(5), pages 1439-1474, September.
    7. Böhm, Michael & Metzger, Daniel & Strömberg, Per, 2015. "Since you’re so rich, you must be really smart”: Talent and the Finance Wage Premium," Working Paper Series 313, Sveriges Riksbank (Central Bank of Sweden).
    8. Böhm, Michael, 2014. "The Wage Effects of Job Polarization: Evidence from the Allocation of Talents," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100547, Verein für Socialpolitik / German Economic Association.
    9. Patricia Gallego Granados, 2019. "The Part-Time Wage Gap across the Wage Distribution," Discussion Papers of DIW Berlin 1791, DIW Berlin, German Institute for Economic Research.
    10. Colin Davis, 2013. "Regional integration and innovation offshoring with occupational choice and endogenous growth," Journal of Economics, Springer, vol. 108(1), pages 59-79, January.
    11. Liverpool-Tasie, Lenis Saweda, 2012. "Targeted Subsidies and Private Market Participation: An Assessment of Fertilizer Demand in Nigeria:," IFPRI discussion papers 1194, International Food Policy Research Institute (IFPRI).
    12. Irene Bertschek & Joern Block & Alexander S. Kritikos & Caroline Stiel, 2024. "German financial state aid during Covid-19 pandemic: Higher impact among digitalized self-employed," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 36(1-2), pages 76-97, January.
    13. François Fall & Akim Almouksit, 2016. "The impact of formal financing on small informal enterprises in Comoros," Working Papers hal-01566389, HAL.
    14. Josse Delfgaauw & Robert Dur, 2008. "Incentives and Workers' Motivation in the Public Sector," Economic Journal, Royal Economic Society, vol. 118(525), pages 171-191, January.
    15. Galama, Titus & Kapteyn, Arie, 2011. "Grossman’s missing health threshold," Journal of Health Economics, Elsevier, vol. 30(5), pages 1044-1056.
    16. Todd Pugatch, 2014. "Safety valve or sinkhole? Vocational schooling in South Africa," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-31, December.
    17. Michael Lechner & Ruth Miquel & Conny Wunsch, 2011. "Long‐Run Effects Of Public Sector Sponsored Training In West Germany," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 742-784, August.
    18. Michael Gerfin & Michael Lechner, 2002. "A Microeconometric Evaluation of the Active Labour Market Policy in Switzerland," Economic Journal, Royal Economic Society, vol. 112(482), pages 854-893, October.
    19. Paul Ellickson & Sanjog Misra, 2012. "Enriching interactions: Incorporating outcome data into static discrete games," Quantitative Marketing and Economics (QME), Springer, vol. 10(1), pages 1-26, March.
    20. Kristiina Huttunen & Jarle Møen & Kjell G. Salvanes, 2018. "Job Loss and Regional Mobility," Journal of Labor Economics, University of Chicago Press, vol. 36(2), pages 479-509.

    More about this item

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J7 - Labor and Demographic Economics - - Labor Discrimination
    • N32 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - U.S.; Canada: 1913-

    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:unm:umaror:2010006. 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: Andrea Willems or Leonne Portz (email available below). General contact details of provider: https://edirc.repec.org/data/romaanl.html .

    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.