IDEAS home Printed from https://ideas.repec.org/a/bpj/jqsprt/v6y2010i1n5.html
   My bibliography  Save this article

Age and Winning Professional Golf Tournaments

Author

Listed:
  • Tiruneh Gizachew

    (University of Central Arkansas)

Abstract

Most professional golfers and analysts think that winning on the PGA Tour peaks when golfers are in their thirties. Rather than relying on educated guesses, we can actually use available statistical data to determine the actual ages at which golfers peak their golf game. We can also test the hypothesis that age affects winning professional golf tournaments. Using data from the web sites of the Golf Channel, the PGA Tour, the European PGA Tour, and the LPGA Tour, I calculated the mean, the median, and the mode ages at which professional golfers on the PGA, European PGA, Champions, and LPGA Tours had won between 2003 and 2007. More specifically, the ages at which golfers on the PGA, European PGA, Champions, and LPGA Tours peak their wins seem to be 35, 30, 52, and 25, respectively. The regression analysis I have conducted seems to support my hypothesis that age affects winning professional golf tournaments.

Suggested Citation

  • Tiruneh Gizachew, 2010. "Age and Winning Professional Golf Tournaments," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(1), pages 1-16, January.
  • Handle: RePEc:bpj:jqsprt:v:6:y:2010:i:1:n:5
    DOI: 10.2202/1559-0410.1209
    as

    Download full text from publisher

    File URL: https://doi.org/10.2202/1559-0410.1209
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.2202/1559-0410.1209?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. Puterman Martin L & Wittman Stefan M, 2009. "Match Play: Using Statistical Methods to Categorize PGA Tour Players' Careers," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(1), pages 1-63, January.
    2. Fair Ray C, 2008. "Estimated Age Effects in Baseball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 4(1), pages 1-41, January.
    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. Brander James A. & Egan Edward J. & Yeung Louisa, 2014. "Estimating the effects of age on NHL player performance," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(2), pages 241-259, June.
    2. Stephen Shmanske, 2013. "Gender and skill convergence in professional golf," Chapters, in: Eva Marikova Leeds & Michael A. Leeds (ed.), Handbook on the Economics of Women in Sports, chapter 4, pages 73-91, Edward Elgar Publishing.
    3. Katarzyna Gabrys & Antoni Wontorczyk, 2023. "Sport Anxiety, Fear of Negative Evaluation, Stress and Coping as Predictors of Athlete’s Sensitivity to the Behavior of Supporters," IJERPH, MDPI, vol. 20(12), pages 1-14, June.
    4. Ozmen M. Utku, 2012. "Foreign Player Quota, Experience and Efficiency of Basketball Players," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(1), pages 1-18, March.

    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. Geoffrey N Tuck & Athol R Whitten, 2013. "Lead Us Not into Tanktation: A Simulation Modelling Approach to Gain Insights into Incentives for Sporting Teams to Tank," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-10, November.
    2. Brander James A. & Egan Edward J. & Yeung Louisa, 2014. "Estimating the effects of age on NHL player performance," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(2), pages 241-259, June.
    3. McShane Blakeley B. & Braunstein Alexander & Piette James & Jensen Shane T., 2011. "A Hierarchical Bayesian Variable Selection Approach to Major League Baseball Hitting Metrics," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(4), pages 1-26, October.
    4. Rachel Scarfe & Carl Singleton & Adesola Sunmoni & Paul Telemo, 2024. "The age‐wage‐productivity puzzle: Evidence from the careers of top earners," Economic Inquiry, Western Economic Association International, vol. 62(2), pages 584-606, April.
    5. Jahn Hakes & Chad Turner, 2011. "Pay, productivity and aging in Major League Baseball," Journal of Productivity Analysis, Springer, vol. 35(1), pages 61-74, February.
    6. Andrew W. Nutting, 2013. "Immediate Effects of On-The-Job Training and Its Intensity," Journal of Sports Economics, , vol. 14(3), pages 303-320, June.
    7. Gerber Eric A. E. & Craig Bruce A., 2021. "A mixed effects multinomial logistic-normal model for forecasting baseball performance," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 17(3), pages 221-239, September.
    8. Anthony C. Krautmann & John L. Solow, 2009. "The Dynamics of Performance Over the Duration of Major League Baseball Long-Term Contracts," Journal of Sports Economics, , vol. 10(1), pages 6-22, February.
    9. Connolly Robert A. & Rendleman Richard J, 2009. "Dominance, Intimidation, and 'Choking' on the PGA Tour," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(3), pages 1-34, July.
    10. Hamrick Jeff & Rasp John, 2011. "Using Local Correlation to Explain Success in Baseball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(4), pages 1-29, October.
    11. Araki, Kenji & Hirose, Yoshihiro & Komaki, Fumiyasu, 2019. "Paired comparison models with age effects modeled as piecewise quadratic splines," International Journal of Forecasting, Elsevier, vol. 35(2), pages 733-740.
    12. Nieswiadomy Michael L. & Strazicich Mark C. & Clayton Stephen, 2012. "Was There a Structural Break in Barry Bonds's Bat?," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(3), pages 1-19, October.
    13. Mark Broadie, 2012. "Assessing Golfer Performance on the PGA TOUR," Interfaces, INFORMS, vol. 42(2), pages 146-165, April.
    14. Null Brad, 2009. "Modeling Baseball Player Ability with a Nested Dirichlet Distribution," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(2), pages 1-38, May.
    15. John L. Solow & Anthony C. Krautmann, 2020. "Do You Get What You Pay for? Salary and Ex Ante Player Value in Major League Baseball," Journal of Sports Economics, , vol. 21(7), pages 705-722, October.
    16. Michael Schuckers & Michael Lopez & Brian Macdonald, 2023. "Estimation of player aging curves using regression and imputation," Annals of Operations Research, Springer, vol. 325(1), pages 681-699, June.

    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:bpj:jqsprt:v:6:y:2010:i:1:n:5. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.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.