IDEAS home Printed from https://ideas.repec.org/p/zbw/umiodp/122014.html
   My bibliography  Save this paper

Are attractive female tennis players more successful? An empirical analysis

Author

Listed:
  • Bakkenbüll, Linn-Brit
  • Kiefer, Stephanie

Abstract

This study examines whether there is a relationship between physical attractiveness of professional female tennis players ranked in the top 100 of the tennis world ranking in 2011 and their sporting success in terms of earned prize money and winning probabilities. OLS-regressions reveal a significantly positive relationship between physical attractiveness and sporting success in terms of prize money for the years 2012 and 2013 as well as for the whole career. Furthermore, a logit-model shows that the larger the difference in physical attractiveness is, the higher is the winning probability for the more attractive player in individual matches.

Suggested Citation

  • Bakkenbüll, Linn-Brit & Kiefer, Stephanie, 2014. "Are attractive female tennis players more successful? An empirical analysis," Discussion Papers of the Institute for Organisational Economics 12/2014, University of Münster, Institute for Organisational Economics.
    • Handle: RePEc:zbw:umiodp:122014
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/106258/1/813655366.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alex Krumer, 2017. "On Winning Probabilities, Weight Categories, and Home Advantage in Professional Judo," Journal of Sports Economics, , vol. 18(1), pages 77-96, January.
    2. Alex Krumer & Mosi Rosenboim & Offer Moshe Shapir, 2016. "Gender, Competitiveness, and Physical Characteristics," Journal of Sports Economics, , vol. 17(3), pages 234-259, April.
    3. Koning, Ruud H., 2003. "Home advantage in speed skating: evidence from individual data," Research Report 03F38, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    4. Kiefer, Stephanie & Scharfenkamp, Katrin, 2012. "The impact of physical attractiveness on the popularity of female tennis players in online media," Discussion Papers of the Institute for Organisational Economics 6/2012, University of Münster, Institute for Organisational Economics.
    5. Julio del Corral, 2009. "Competitive Balance and Match Uncertainty in Grand-Slam Tennis," Journal of Sports Economics, , vol. 10(6), pages 563-581, December.
    6. Wickhorst, Hanke, 2010. "On the overconfidence-effect in teams," Discussion Papers of the Institute for Organisational Economics 3/2010, University of Münster, Institute for Organisational Economics.
    7. Dilger, Alexander, 2011. "Die dunkle Seite der Gerechtigkeit," Discussion Papers of the Institute for Organisational Economics 1/2011, University of Münster, Institute for Organisational Economics.
    8. Klaassen F. J G M & Magnus J. R., 2001. "Are Points in Tennis Independent and Identically Distributed? Evidence From a Dynamic Binary Panel Data Model," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 500-509, June.
    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. Linn-Brit Bakkenbüll & Stephanie Kiefer, 2015. "Are Attractive Female Tennis Players More Successful? An Empirical Analysis," Kyklos, Wiley Blackwell, vol. 68(4), pages 443-458, November.
    2. 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.
    3. Alex Krumer & Mosi Rosenboim & Offer Moshe Shapir, 2016. "Gender, Competitiveness, and Physical Characteristics," Journal of Sports Economics, , vol. 17(3), pages 234-259, April.
    4. Cohen-Zada, Danny & Krumer, Alex & Rosenboim, Mosi & Shapir, Offer Moshe, 2017. "Choking under pressure and gender: Evidence from professional tennis," Journal of Economic Psychology, Elsevier, vol. 61(C), pages 176-190.
    5. Xu, Hongmei, 2014. "Why do small Chinese firms list on the Frankfurt Stock Exchange?," Discussion Papers of the Institute for Organisational Economics 11/2014, University of Münster, Institute for Organisational Economics.
    6. Bakkenbüll, Linn-Brit, 2016. "Does attractiveness win? On the gender-specific impact of attractiveness on athletic performance in tennis," Discussion Papers of the Institute for Organisational Economics 01/2016, University of Münster, Institute for Organisational Economics.
    7. Tomi Ovaska & Albert J. Sumell, 2014. "Who Has The Advantage? An Economic Exploration of Winning in Men's Professional Tennis," The American Economist, Sage Publications, vol. 59(1), pages 34-51, May.
    8. Krumer, Alex & Lechner, Michael, 2016. "First In First Win: Evidence on Unfairness of Round-Robin Tournaments in Mega-Events," Economics Working Paper Series 1611, University of St. Gallen, School of Economics and Political Science.
    9. Xu, Hongmei, 2015. "Corporate governance, state ownership and cross-listing: Evidence from Chinese A-share listed firms," Discussion Papers of the Institute for Organisational Economics 2/2015, University of Münster, Institute for Organisational Economics.
    10. Lackner, Mario & Weichselbaumer, Michael, 2023. "Can barely winning lead to losing? Gender and past performance," Journal of Economic Behavior & Organization, Elsevier, vol. 208(C), pages 258-274.
    11. Cohen-Zada, Danny & Krumer, Alex & Shapir, Offer Moshe, 2018. "Testing the effect of serve order in tennis tiebreak," Journal of Economic Behavior & Organization, Elsevier, vol. 146(C), pages 106-115.
    12. Helmut Dietl & Cornel Nesseler, 2017. "Momentum in tennis: Controlling the match," Working Papers 365, University of Zurich, Department of Business Administration (IBW).
    13. Cohen-Zada, Danny & Krumer, Alex & Shtudiner, Ze'ev, 2017. "Psychological momentum and gender," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 66-81.
    14. Holmes, Benjamin & McHale, Ian G. & Żychaluk, Kamila, 2023. "A Markov chain model for forecasting results of mixed martial arts contests," International Journal of Forecasting, Elsevier, vol. 39(2), pages 623-640.
    15. Raul Caruso & Marco Di Domizio & David A. Savage, 2015. "Determinants of aggressiveness in soccer: Evidence from FIFA and UEFA tournaments," Economics Bulletin, AccessEcon, vol. 35(3), pages 2005-2011.
    16. Gil Aharoni & Oded H. Sarig, 2012. "Hot hands and equilibrium," Applied Economics, Taylor & Francis Journals, vol. 44(18), pages 2309-2320, June.
    17. Christophe Ley & Yves Dominicy, 2017. "Mutual Point-winning Probabilities (MPW): a New Performance Measure for Table Tennis," Working Papers ECARES ECARES 2017-23, ULB -- Universite Libre de Bruxelles.
    18. Klaassen, F.J.G.M. & Magnus, J.R., 2006. "Are Economic Agents Successful Optimizers? An Analysis Through Strategy in Tennis," Other publications TiSEM 73e12d86-8fe4-4a87-9181-7, Tilburg University, School of Economics and Management.
    19. Delbianco Fernando & Fioravanti Federico & Tohmé Fernando, 2023. "Home advantage and crowd attendance: evidence from rugby during the Covid 19 pandemic," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 19(1), pages 15-26, March.
    20. Thierry Lallemand & Robert Plasman & François Rycx, 2008. "Women and Competition in Elimination Tournaments," Journal of Sports Economics, , vol. 9(1), pages 3-19, February.

    More about this item

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J49 - Labor and Demographic Economics - - Particular Labor Markets - - - Other
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects

    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:zbw:umiodp:122014. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/ilmuede.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.