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Are Economic Agents Successful Optimizers? An Analysis through Service Strategy in Tennis

Author

Listed:
  • Franc J.G.M. Klaasen

    (Faculty of Economics and Econometrics, Universiteit van Amsterdam)

  • Jan R. Magnus

    (Department of Econometrics and OR, Tilburg University)

Abstract

We consider the question whether top tennis players in a top tournament (Wimbledon) employ an optimal (efficient) service strategy. We show that top players do not, in general, follow an optimal strategy, and we provide a lower bound of the inefficiency. The inefficiency regarding winning a point on service is on average at least 1.1% for men and 2.0% for women, leading to a possible increase of income for the efficient player of 18.7% for men and 32.8% for women. We use these findings to shed some light on the question whether economic agents are successful optimizers.

Suggested Citation

  • Franc J.G.M. Klaasen & Jan R. Magnus, 2006. "Are Economic Agents Successful Optimizers? An Analysis through Service Strategy in Tennis," Tinbergen Institute Discussion Papers 06-048/2, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20060048
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    References listed on IDEAS

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    1. Lazear, Edward P & Rosen, Sherwin, 1981. "Rank-Order Tournaments as Optimum Labor Contracts," Journal of Political Economy, University of Chicago Press, vol. 89(5), pages 841-864, October.
    2. Bruno Jullien & Bernard Salanie, 2000. "Estimating Preferences under Risk: The Case of Racetrack Bettors," Journal of Political Economy, University of Chicago Press, vol. 108(3), pages 503-530, June.
    3. Stefan Szymanski, 2010. "A Market Test for Discrimination in the English Professional Soccer Leagues," Palgrave Macmillan Books, in: Football Economics and Policy, chapter 6, pages 136-150, Palgrave Macmillan.
    4. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731.
    5. Brian L. Goff & Robert E. McCormick & Robert D. Tollison, 2002. "Racial Integration as an Innovation: Empirical Evidence from Sports Leagues," American Economic Review, American Economic Association, vol. 92(1), pages 16-26, March.
    6. Mark Walker & John Wooders, 2001. "Minimax Play at Wimbledon," American Economic Review, American Economic Association, vol. 91(5), pages 1521-1538, December.
    7. Martin B. Schmidt & David J. Berri, 2004. "The Impact of Labor Strikes on Consumer Demand: An Application to Professional Sports," American Economic Review, American Economic Association, vol. 94(1), pages 344-357, March.
    8. P.-A. Chiappori, 2002. "Testing Mixed-Strategy Equilibria When Players Are Heterogeneous: The Case of Penalty Kicks in Soccer," American Economic Review, American Economic Association, vol. 92(4), pages 1138-1151, September.
    9. Hajivassiliou, Vassilis & McFadden, Daniel & Ruud, Paul, 1996. "Simulation of multivariate normal rectangle probabilities and their derivatives theoretical and computational results," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 85-134.
    10. Clark Nardinelli & Curtis Simon, 1990. "Customer Racial Discrimination in the Market for Memorabilia: The Case of Baseball," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(3), pages 575-595.
    11. Luis Garicano & Ignacio Palacios-Huerta & Canice Prendergast, 2005. "Favoritism Under Social Pressure," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 208-216, May.
    12. Gray, Philip K & Gray, Stephen F, 1997. "Testing Market Efficiency: Evidence from the NFL Sports Betting Market," Journal of Finance, American Finance Association, vol. 52(4), pages 1725-1737, September.
    13. Gwartney, James & Haworth, Charles, 1974. "Employer Costs and Discrimination: The Case of Baseball," Journal of Political Economy, University of Chicago Press, vol. 82(4), pages 873-881, July/Aug..
    14. Kanazawa, Mark T & Funk, Jonas P, 2001. "Racial Discrimination in Professional Basketball: Evidence from Nielsen Ratings," Economic Inquiry, Western Economic Association International, vol. 39(4), pages 599-608, October.
    15. Zuber, Richard A & Gandar, John M & Bowers, Benny D, 1985. "Beating the Spread: Testing the Efficiency of the Gambling Market for National Football League Games," Journal of Political Economy, University of Chicago Press, vol. 93(4), pages 800-806, August.
    16. Eric Stone & Ronald Warren, 1999. "Customer discrimination in professional basketball: evidence from the trading-card market," Applied Economics, Taylor & Francis Journals, vol. 31(6), pages 679-685.
    17. Sauer, Raymond D & Brajer, Vic & Ferris, Stephen P & Marr, M Wayne, 1988. "Hold Your Bets: Another Look at the Efficiency of the Gambling Market for National Football League Games: Comment," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 206-213, February.
    18. Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1997. "Bayesian efficiency analysis through individual effects: Hospital cost frontiers," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 77-105.
    19. Kahn, Lawrence M & Sherer, Peter D, 1988. "Racial Differences in Professional Basketball Players' Compensation," Journal of Labor Economics, University of Chicago Press, vol. 6(1), pages 40-61, January.
    20. Ehrenberg, Ronald G & Bognanno, Michael L, 1990. "Do Tournaments Have Incentive Effects?," Journal of Political Economy, University of Chicago Press, vol. 98(6), pages 1307-1324, December.
    21. Forsund, Finn R. & Lovell, C. A. Knox & Schmidt, Peter, 1980. "A survey of frontier production functions and of their relationship to efficiency measurement," Journal of Econometrics, Elsevier, vol. 13(1), pages 5-25, May.
    22. 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.
    23. Steven D. Levitt, 2004. "Why are gambling markets organised so differently from financial markets?," Economic Journal, Royal Economic Society, vol. 114(495), pages 223-246, April.
    24. Stigler, George J, 1976. "The Xistence of X-Efficiency," American Economic Review, American Economic Association, vol. 66(1), pages 213-216, March.
    25. Dennis W. Carlton & Alan S. Frankel & Elisabeth M. Landes, 2004. "The Control of Externalities in Sports Leagues: An Analysis of Restrictions in the National Hockey League," Journal of Political Economy, University of Chicago Press, vol. 112(S1), pages 268-288, February.
    26. Charnes, A. & Cooper, W. W. & Rhodes, E., 1979. "Measuring the efficiency of decision-making units," European Journal of Operational Research, Elsevier, vol. 3(4), pages 339-338, July.
    27. Golec, Joseph & Tamarkin, Maurry, 1991. "The degree of inefficiency in the football betting market : Statistical tests," Journal of Financial Economics, Elsevier, vol. 30(2), pages 311-323, December.
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    More about this item

    Keywords

    Inefficiency; Frontier; Optimal strategy; Tennis;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory

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