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The Superstar Quest: Does Youth Talent Predict Professional Success for Female and Male Tennis Players?

Author

Listed:
  • Grove, Wayne A.

    (Le Moyne College)

  • Jetter, Michael

    (University of Western Australia)

Abstract

We estimate the relationship between international youth and professional tennis rankings. We find no difference between the predictiveness of rankings from age 14 & Under versus age 16 & Under competitions. The most persistent predictor of professional success is beating older top ranked juniors. Our results reveal stark gender differences. For example, ordinal junior rankings are more strongly associated with professional success for males than for females. In addition, future tennis stars are better signaled by U14 competition outcomes for females, but by U16 results for males.

Suggested Citation

  • Grove, Wayne A. & Jetter, Michael, 2014. "The Superstar Quest: Does Youth Talent Predict Professional Success for Female and Male Tennis Players?," IZA Discussion Papers 8103, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp8103
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    References listed on IDEAS

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    1. Brouwers, Jessie & De Bosscher, Veerle & Sotiriadou, Popi, 2012. "An examination of the importance of performances in youth and junior competition as an indicator of later success in tennis," Sport Management Review, Elsevier, vol. 15(4), pages 461-475.
    2. Jessie Brouwers & Veerle De Bosscher & Popi Sotiriadou, 2012. "An examination of the importance of performances in youth and junior competition as an indicator of later success in tennis," Sport Management Review, Taylor & Francis Journals, vol. 15(4), pages 461-475, October.
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    Cited by:

    1. Michael Jetter & Jay K. Walker, 2017. "Good Girl, Bad Boy? Evidence Consistent with Collusion in Professional Tennis," Southern Economic Journal, John Wiley & Sons, vol. 84(1), pages 155-180, July.

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    More about this item

    Keywords

    productivity measures; labor supply; career outcomes; tennis;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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