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

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  • 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.
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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
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    References listed on IDEAS

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    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.
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    Cited by:

    1. René Böheim & Mario Lackner, 2013. "Gender and Competition: Evidence from Jumping Competitions," Economics working papers 2013-05, Department of Economics, Johannes Kepler University Linz, Austria.
    2. Bernd Frick, 2011. "Gender Differences in Competitive Orientations: Empirical Evidence from Ultramarathon Running," Journal of Sports Economics, , vol. 12(3), pages 317-340, June.
    3. Frick, Bernd, 2011. "Gender differences in competitiveness: Empirical evidence from professional distance running," Labour Economics, Elsevier, vol. 18(3), pages 389-398, June.
    4. 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.

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    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-

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