Halkos, George and Tzeremes, Nickolaos (2012): Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach.
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Abstract
This paper by applying a sporting production function evaluates 229 professional tennis players’ career performance. By applying Data Envelopment Analysis (DEA) the paper produces a unified measure of nine performance indicators into a single career performance index. In addition bootstrap techniques have been applied for bias correction and the construction of confidence intervals of the efficiency estimates. The results reveal a highly competitive environment among the tennis players with thirty nine tennis players appearing to be efficient.
Item Type: | MPRA Paper |
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Original Title: | Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach |
Language: | English |
Keywords: | Professional tennis players; Data Envelopment Analysis; Sport production function; Bootstrapping |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C69 - Other C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General L - Industrial Organization > L8 - Industry Studies: Services > L83 - Sports ; Gambling ; Restaurants ; Recreation ; Tourism |
Item ID: | 41516 |
Depositing User: | G.E. Halkos |
Date Deposited: | 24 Sep 2012 20:02 |
Last Modified: | 26 Sep 2019 14:22 |
References: | Atkinson, S.E., Stanley, L. R., & Tschirart, J. (1988). Revenue sharing as an incentive in an agency problem: An example from the National Football League. Rand Journal of Economics, 19(1), 27-43. Banker, R.D., Charnes, A., & Cooper, W.W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science 30(9), 1078– 1092. Barros, C.P. (2003). Incentive regulation and efficiency in sport organisational training activities. Sports Management Review 6(1), 33-52. Barros, C. P., & Leach, S. (2006a). Analyzing the performance of the English F.A. Premier league with an econometric frontier model. Journal of Sports Economics, 7(4), 391-407. Barros, C. P., & Leach, S. (2006b). Performance evaluation of the English premier league with data envelopment analysis. Applied Economics, 38(12), 1449-1458. Barros, C. P., & Leach, S. (2007). Technical efficiency in the English football association premier league with a stochastic cost frontier. Applied Economics Letters, 14 (10), 731-741. Barros, C.P., & Garcia-del-Barrio, P. (2008). Efficiency measurement of the English Football Premier League with a Random Frontier Model. Economic Modelling, 25(5), 994–1002. Barros, C.P., Assaf, A., & Sá-Earp, F. (2010). Brazilian football league technical efficiency: A Simar and Wilson Approach. Journal of Sports Economics, 11(6), 641-651. Bashtannyk, D.M., & Hyndman, R.J. (2001). Bandwidth selection for kernel conditional density estimation. Computational statistics and data analysis, 36(3), 279-298. Boulier, B. L., & Stekler, H. O. (1999). Are sports seedings good predictors? An evaluation. International Journal of Forecasting, 15(1), 83–91. Brouwers, J., De Bosscher, V., & Sotiriadou, P. (2012) An examination of the importance of performances in youth and junior competition as an indicator of later success in tennis. Sports Management Review, 15(4), 461-475. Carmichael, F., & Thomas, D. (1995). Production and efficiency in team sports: An investigation of rugby league football. Applied Economics, 27(9), 859-869. Charnes, A., Cooper, W.W., & Rhodes, E.L. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444. Clarke, S. R., & Dyte, D. (2000). Using official ratings to simulate major tennis tournaments. International Transactions in Operational Research, 7(6), 585–594. Coate, D., & Robbins, D. (2001). The tournament careers of top-ranked men and women tennis professionals: Are the gentlemen more committed than the ladies? Journal of Labor Research, 22(1), 185-193. Coelli, T.J. , Rao, D.S.P., O’Donnell C.J., & Battese, G.E. (2005). An introduction to efficiency and productivity analysis. NY, USA: Springer. Daraio, C., & Simar, L. (2007). Advanced robust and nonparametric methods in efficiency analysis. New York: Springer Science. Dawson, P., Dobson, S., & Gerrard, B. (2000a). Stochastic frontiers and the temporal structure of managerial efficiency in English soccer. Journal of Sport Economics, 1(4), 341-362. Dawson, P., Dobson, S., & Gerrard, B. (2000b). Estimating coaching efficiency in the professional team sports: Evidence from English association football. Scottish Journal of Political Economy, 47(4), 399- 421. De Bosscher V., De Knopa P., van Bottenburg M., Shibli S., & Binghamd, J. (2012). Explaining international sporting success: An international comparison of elite sport systems and policies in six countries. Sports Management Review 12(3), 113-136. Debreu, G. (1951). The coefficient of resource utilization. Econometrics, 19(3), 273–292. del Corral, J., & Prieto-Rodríguez, J. (2010). Are differences in ranks good predictors for Grand Slam tennis matches? International Journal of Forecasting, 26(3), 551–563. Färe R., & Lovell, C.A.K. (1978). Measuring the technical efficiency of production. Journal of Economic Theory, 19(1), 150-162. Farrell, M. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society Series A, 120(3), 253–281. Fizel, J.L., & D’Itri, M.P. (1996). Estimating managerial efficiency: the case of college basketball coaches. Journal of Sport Management, 10(4), 435–445. Fizel, J.L. and D’Itri, M.P. (1997). Managerial efficiency, managerial succession and organizational performance. Managerial and Decision Economic, 18(1), 295–308. Førsund, F.R., & Sarafoglou, N. (2002). On the origins of Data Envelopment Analysis. Journal of the Productivity Analysis, 17(1/2), 23-40. Førsund, F.R., Kittelsen, S.A.C., & Krivonozhko, V.E. (2009). Farrell revisited–Visualizing properties of DEA production frontiers. Journal of the Operational Research Society, 60(11), 1535-1545. Frick, B., & Simmons, R. (2008). The impact of managerial quality on organizational performance: Evidence from German soccer. Managerial and Decision Economics, 29(7), 593-600. Haas, D.J. (2003a). Productive efficiency of English football teams-A data envelopment analysis approach. Managerial and Decision Economics, 24(5), 403-410. Haas, D.J. (2003b). Technical efficiency in the major league soccer. Journal of Sport Economics, 4(3), 203-215. Hyndman, R.J., Bashtannyk, D.M., & Grunwald, G.K. (1996). Estimating and visualizing conditional densities. Journal of Computational and Graphical Statistics, 5(4), 315-336. Hyndman, R.J., & Yao, Q. (2002). Nonparametric estimation and symmetry tests for conditional density functions. Journal of Nonparametric Statistics, 14(3), 259-278. Jones, J.C.H. (1969). The Economics of the National Hockey League. Canadian Journal of Economics, 2(1), 1-20. Kellett, P. (1999). Organisational leadership: Lessons from professional coaches. Sports Management Review, 2(2), 150–171. Klaassen, F., & Magnus, J. (2003). Forecasting the winner of a tennis match. European Journal of Operational Research, 148(2), 257–267. Lee, Y.H., & Berri, D. (2008). A re-examination of production functions and efficiency estimates for the national basketball association. Scottish Journal of Political Economy, 55(1), 51-66. McHale, I., & Morton, A. (2011). A Bradley-Terry type model for forecasting tennis match results. International Journal of Forecasting, 27(2), 619–630. Neale, W. (1964). The peculiar economics of professional sports. Quarterly Journal of Economics, 78(1), 1-14. O’ Donnell, C.J. (2012). Econometric estimation of distance functions and associated measures of productivity and efficiency change. Journal of Productivity Analysis, DOI 10.1007/s11123-012-0311-1. Porter, P. & Scully, G.W. (1982). Measuring managerial efficiency: The case of baseball. Southern Economic Journal, 48(3), 642-650. Rámon, N., Ruiz, J.L., & Sirvent, I. (2012). Common sets of weights as summaries of DEA profiles of weights: With an application to the ranking of professional tennis players. Expert Systems with Applications, 39(5), 4882–4889. Rohm, A.J., Chatterjee, S., & Habibullah, M. (2004) Strategic measure of competitiveness for ranked data. Managerial and Decision Economics, 25(2), 103–108. Rottenberg, S. (1956). The baseball player’s labor-market. Journal of Political Economy, 64(3), 242-258. Scheibehenne, B., & Broder, A. (2007). PredictingWimbledon 2005 tennis results by mere player name recognition. International Journal of Forecasting, 23(3), 415–426. Schofield, J. A. (1988). Production functions in the sports industry: An empirical analysis of professional cricket. Applied Economics, 20(2), 177-193. Scully, G.W. (1974). Pay and performance in major league baseball. American Economic Review, 64(6), 915-930. Shephard, R.W. (1970). Theory of cost and production functions. Princeton: Princeton University Press. Silverman, B.W. (1986). Density Estimation for Statistics and Data Analysis. London: Chapman and Hall. Simar, L. & Wilson, P.W. (1998). Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models. Management Science. 44(1), 49–61. Simar, L. & Wilson, P.W. (2000a). A general methodology for bootstrapping in nonparametric frontier models. Journal of Applied Statistics, 27(6), 779–802. Simar, L. & Wilson, P.W. (2000b). Statistical inference in nonparametric frontier models: the state of the art. Journal of Productivity Analysis, 13(1), 49–78. Simar, L. & Wilson, P.W. (2002). Nonparametric tests of returns to scale. European Journal of Operational Research, 139(1), 115– 132. Simar, L. & Wilson, P.W. (2007). Estimation and inference in two-stage, semi-parametric models of production processes. Journal of Econometrics, 136(1), 31–64. Sloane, P.J. (1969). The labour market in professional football. British Journal of Industrial Relations, 7(2), 181-199. Sloane, P.J. (1971). The economics of professional football: The football club as a utility maximiser. Scottish Journal of Political Economy, 17(2), 121-146. Sloane, P.J. (1976). Restriction of competition in professional team sports. Bulleting of Economic Research, 28(1), 3-22. Sotiriadou, K., & Shilbury, D. (2009). Australian Elite Athlete Development: An Organisational Perspective. Sports Management Review, 12(3), 137-148. Wozniak, D. (2012). Gender differences in a market with relative performance feedback: Professional tennis players. Journal of Economic Behavior and Organization, 83(1), 158– 171. Zak, T. A., Huang, C. J., & Siegfried, J.J. (1979). Production efficiency: The case of professional basketball. Journal of Business, 52(3), 379-392. Zech, C. E. (1981). An empirical estimation of a production function: The case of Major League Baseball. American Economist, 25(2) ,19-23. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/41516 |