Cost efficiency of French soccer league teams

References

• Aglietta, M., Andreff, W. and Drut, B. (2010) Floating European football clubs in the stock market. Working Paper 24, Economix.u. Paris 19. France.
   Google Scholar
• Aigner, D. J., Lovell, C. A. K. and Schmidt, P. (1977) Formulation and estimation of stochastic frontier production function models, Journal of Econometrics, 6, 21–37.
   Google Scholar
• Andreff, W. (2007) French Football: a financial crisis rooted in weak governance, Journal of Sports Economics, 8, 652–61.
   Web of Science ®Google Scholar
• Ascari, G. and Gagnepain, P. (2007) Evaluating rent dissipation in the Spanish football industry, Journal of Sports Economics, 8, 468–90.
   Web of Science ®Google Scholar
• Barros, C. P., del Corral, J. and Garcia-del-Barrio, P. (2008) Identification of segments of soccer clubs in the Spanish League First Division with a latent class model, Journal of Sports Economics, 9, 451–69.
   Web of Science ®Google Scholar
• Barros, C. P. and Garcia-del-Barrio, P. (2008) Efficiency measurement of the English Football Premier League with a random frontier model, Economic Modelling, 25, 994–1002.
   Web of Science ®Google Scholar
• Barros, C. P., Garcia-del-Barrio, P. and Leach, S. (2009). Analysing the technical efficiency of the Spanish Football League first division with a random frontier model, Applied Economics, 41, 3239–47.
   Web of Science ®Google Scholar
• Barros, C. P. and Leach, S. (2006a) Analyzing the performance of the English F.A. Premier League with an econometric frontier model, Journal of Sports Economics, 7, 391–407.
   Google Scholar
• Barros, C. P. and Leach, S. (2006b) Performance evaluation of the English Premier League with data envelopment analysis, Applied Economics, 38, 1449–58.
   Web of Science ®Google Scholar
• Barros, C. P. and Leach, S. (2007) Technical efficiency in the English Football Association Premier League with a stochastic cost frontier, Applied Economics Letters, 14, 731–41.
   Web of Science ®Google Scholar
• Belotti, D., Ilardi, G. and Atella, V. (2013, forthcoming) Stochastic frontier analysis using Stata. Stata Journal.
   Google Scholar
• Carmichael, F., Thomas, D. and Ward, R. (2001) Production and efficiency in Association Football, Journal of Sports Economics, 2, 228–43.
   Google Scholar
• Coates, D. and Humphreys, B. R. (2011) The effect of professional sports on the earnings of individuals: evidence from microeconomic data, Applied Economics, 43, 4449–59.
   Web of Science ®Google Scholar
• Dawson, P., Dobson, S. and Gerrard, B. (2000a) Stochastic frontier and the temporal structure of managerial efficiency in English Soccer, Journal of Sports Economics, 1, 341–62.
   Google Scholar
• Dawson, P., Dobson, S. and Gerrard, B. (2000b) Estimating coaching efficiency in professional team sports: evidence from English Association Football, Scottish Journal of Political Economy, 47, 399–421.
   Web of Science ®Google Scholar
• Einolf, K. (2004) Is winning everything? A data envelopment analysis of major League Baseball and National Football League, Journal of Sports Economics, 5, 127–51.
   Google Scholar
• Espitia-Escuer, M. and García-Cebrian, L. I. (2004) Measuring the efficiency of Spanish First-Division Soccer Teams, Journal of Sports Economics, 5, 329–46.
   Google Scholar
• Falter, J. M. and Perignon, C. (2010) Demand for football and intramatch winning probability: an essay on glorious uncertainty of sports, Applied Economics, 32, 1757–65.
   Google Scholar
• Fizel, J. L. and D’Itri, M. P. (1996) Estimating managerial efficiency: the case of college basketball coaches, Journal of Sport Management, 10, 435–45.
   Web of Science ®Google Scholar
• Fizel, J. L. and D’Itri, M. P. (1997) Managerial efficiency, managerial succession and organizational performance, Managerial and Decision Economics, 18, 295–308.
   Google Scholar
• Gouguet, J. and Primault, D. (2006) The French exception, Journal of Sports Economics, 7, 47–59.
   Google Scholar
• Greene, W. (2005) Reconsidering heterogeneity in panel data estimators of the stochastic frontier models, Journal of Econometrics, 126, 269–303.
   Web of Science ®Google Scholar
• Greene, W. (2007) Limdep Version 9.0, Econometric Software, Plainview, New York, NY.
   Google Scholar
• Gutierrez, E. and Lozano, S. (2012, forthcoming) A DEA approach to performance-based budgeting of formula one constructors. Journal of Sport Economics.
   Google Scholar
• Haas, D. J. (2003a) Productive efficiency of English Football teams – a data envelopment approach, Managerial and Decision Economics, 24, 403–10.
   Google Scholar
• Haas, D. J. (2003b) Technical efficiency in the Major League Soccer, Journal of Sports Economics, 4, 203–15.
   Google Scholar
• Hadley, L., Poitras, M., Ruggiero, J. et al. (2000) Performance evaluation of National Football League teams, Managerial and Decision Economics, 21, 63–70.
   Google Scholar
• Hall, S., Szymanski, S. and Zimbalist, A. (2002) Testing Causality between Team Performance and Payroll: the cases of major Baseball League and English Soccer, Journal of Sports Economics, 3, 149–68.
   Google Scholar
• Hofler, R. A. and Payne, J. E. (1996) How close to their offensive potential do national football club teams play, Applied Economics Letters, 3, 743–7.
   Web of Science ®Google Scholar
• Hofler, R. A. and Payne, J. E. (1997) Measuring efficiency in the National Basketball Association, Economics Letters, 55, 293–9.
   Web of Science ®Google Scholar
• Jondrow, J., Lovell, C. A. K., Materov, I. et al. (1982) On the estimation of technical inefficiency in the stochastic frontier production function model, Journal of Econometrics, 19, 233–8.
   Web of Science ®Google Scholar
• Kahane, L. H. (2005) Production efficiency and discriminatory hiring practices in the National Hockey League: a stochastic frontier approach, Review of Industrial Organisation, 27, 47–71.
   Web of Science ®Google Scholar
• Kern, M. and Süssmuth, B. (2005) Managerial efficiency in German Top League Soccer: an econometric analysis of club performances on and off pitch, German Economic Review, 6, 485–506.
   Google Scholar
• Kokolakakis, T., Lera-López, F. and Panagouleas, T. (2012) Analysis of the determinants of sports participation in Spain and England, Applied Economics, 44, 2785–98.
   Web of Science ®Google Scholar
• Koop, G. (2002) Comparing the performance of baseball players: a multiple output approach, Journal of the American Statistical Association, 97, 710–20.
   Web of Science ®Google Scholar
• Kumbhakar, S. and Lovell, K. (2000) Stochastic Frontier Analysis, Cambridge University Press, Cambridge.
   Google Scholar
• Meeusen, W. and van den Broeck, J. (1977) Efficiency estimation from a translog production function with composed error, International Economic Review, 18, 435–44.
   Web of Science ®Google Scholar
• Noll, R. (2003) The organization of sports leagues, Oxford Review of Economic Policy, 19, 530–51.
   Web of Science ®Google Scholar
• Orea, L. and Kumbhakar, S. (2004) Efficiency measurement using a latent class stochastic frontier model, Empirical Economics, 29, 169–83.
   Google Scholar
• Porter, P. and Scully, G. W. (1982) Measuring managerial efficiency: the case of baseball, Southern Economic Journal, 48, 642–50.
   Web of Science ®Google Scholar
• Scully, G. W. (1994) Managerial efficiency and survivability in professional team sports, Managerial and Decision Economics, 15, 403–11.
   Google Scholar
• Smart, D., Winfree, J. and Wolfe, R. (2008) Major League Baseball Managers: do they matter?, Journal of Sport Management, 22, 303–21.
   Web of Science ®Google Scholar
• Zak, T. A., Huang, C. J. and Siegfried, J. J. (1979) Production efficiency: the case of professional basketball, Journal of Business, 52, 379–92.
   Web of Science ®Google Scholar