The Market for NFL Coaches and Managers

  • Keith D. Malone
  • Jim F. Couch
  • J. Douglas Barrett
Part of the Sports Economics, Management and Policy book series (SEMP, volume 2)


Everyone in an organization plays a role in the success or lack thereof in achieving stated objectives. Sports are no exception in this regard. Players, coaches, trainers, front offices, owners, and other staff each contribute to the ultimate results, whether they be winning, making money, or both. It is hardly uncommon for debates to ensue across the country regarding which group is ultimately the most responsible for the success or failure of the team. In this chapter, the contribution of coaches is considered.


Data Envelopment Analysis Efficiency Score Canonical Correlation Analysis Stochastic Frontier Analysis Major League Baseball 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Aigner D, Lovell C, Schmidt P (1977) Formulation and estimation of statistic production function models. J Econom 5:21–37CrossRefGoogle Scholar
  2. Anderson D, Sweeney D, Williams T, Martin K (2008) Introduction to management science, 12th edn. Thomson-Southwestern, Mason, OHGoogle Scholar
  3. Baker G, Jensen M, Murphy K (1988) Compensation and incentives. J Fin 43:593–616CrossRefGoogle Scholar
  4. Battesse G, Cora G (1977) Estimation of a production frontier with application to the pastoral zone of eastern Australia. Aust J Ag Econ 21:169–179Google Scholar
  5. Battesse G, Coelli T (1988) Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data. J Econom 38:387–399CrossRefGoogle Scholar
  6. Becker G (1962) Investment in human capital. J Pol Econ 70:9–49CrossRefGoogle Scholar
  7. Ben-Porath Y (1967) The production of human capital and the life cycle of earnings. J Pol Econ 75:362–375Google Scholar
  8. Bernard P (2006) ROI and coaching: applying metrics to measure the effectiveness of coaches.
  9. Berri D, Schmidt M, Brook S (2006) The wages of wins: taking measure of the many myths in sports. Stanford University Press, Stanford, CAGoogle Scholar
  10. Charnes A, Cooper W, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2:429–444CrossRefGoogle Scholar
  11. Coase RH (1960) The problem of social cost. J Law Econ 3:1–44CrossRefGoogle Scholar
  12. Cobb C, Douglas P (1928) A theory of production. Amer Econ Rev 18:139–165Google Scholar
  13. Damodaran A (1996) Investment valuation. Wiley, New YorkGoogle Scholar
  14. Darnton G, Darnton M (1997) Business process analysis. Thomson-Learning, London, UKGoogle Scholar
  15. Depken C, Wilson D (2010) Coaching efficiency in NCAA IA college football. Working paperGoogle Scholar
  16. Fair R (1994) How fast do old men slow down? Rev Econ Statist 103–118Google Scholar
  17. Fama E (1980) Agency problems and the theory of the firm. J Pol Econ 88:288–307CrossRefGoogle Scholar
  18. Farrell M (1957) The measurement of productive efficiency. J Roy Statist Soc Ser A III:253–290CrossRefGoogle Scholar
  19. Fee C, Hadlock C, Pierce J (2006) Promotions in the internal and external labor market: evidence from professional football coaching careers. J Bus 79:821–850CrossRefGoogle Scholar
  20. Goff B (2010) Managerial contributions across sports. Presented at the 2010 Southern Economic Association meeting, Atlanta, GAGoogle Scholar
  21. Goff B, Wisley T (2006) Is there a managerial life cycle? evidence from the NFL. Manag Dec Econ 27:563–572CrossRefGoogle Scholar
  22. Hadley L, Poitras M, Ruggiero J, Knowles S (2000) Performance evaluation of National Football League teams. Manag Dec Econ 21:63–70CrossRefGoogle Scholar
  23. Holmstrom B (1982) Managerial incentives schemes – a dynamic perspective. In Essays in economics and management in honour of Lars Wahlbeck, Helsinki, Swedish School of EconomicsGoogle Scholar
  24. Horowitz I (1994) On the manager as principal clerk. Soc Sci Quart 75:187–194Google Scholar
  25. Johnson R, Wichern D (2008) Applied multivariate statistical analysis, 6th edn. Pearson, New YorkGoogle Scholar
  26. Jondrow J, Lowell C, Materov I, Schmidt P (1982) On the estimation of technical inefficiency in the stochastic frontier production model. J Econom 19:233–238CrossRefGoogle Scholar
  27. Kahn L (1991) Discrimination in professional sports: a survey of the literature. Ind Lab Relat Rev 44:395–418CrossRefGoogle Scholar
  28. Kahn L (1992) The effects of race on professional football players compensation. Ind Lab Relat Rev 45:295–310CrossRefGoogle Scholar
  29. Kahn L (1993) Managerial quality, team success, and individual player performance in Major League Baseball. Ind Lab Relat Rev 46:531–547CrossRefGoogle Scholar
  30. Lazear E, Rosen S (1981) Rank-order tournaments as optimum labor contracts. J Pol Econ 89:841–864CrossRefGoogle Scholar
  31. Madden J (2004) Differences in the success of NFL coaches by race, 1990–2002. J Sports Econ 5:6–19CrossRefGoogle Scholar
  32. Malone K, Couch J, Barrett J (2009) Differences in the success of NFL coaches by race: a different perspective. J Sports Econ 10:543–550CrossRefGoogle Scholar
  33. Mankiw G (2009) Principles of economics. South-Western Cengage Learning, Mason, OHGoogle Scholar
  34. Meeusen W, van den Broeck J (1977) Efficiency estimation from Cobb-Douglas production function with composed error. Int Econ Rev 8:435–444CrossRefGoogle Scholar
  35. Porter P, Scully G (1982) Measuring managerial efficiency: the case of baseball. South Econ J 48:642–650CrossRefGoogle Scholar
  36. Ramanathan R (2003) An introduction to data envelopment analysis: a tool for performance measurement. Sage Publishing, New DelhiGoogle Scholar
  37. Richmond J (1974) Estimating the efficiency of production. Int Econ Rev 15:515–521CrossRefGoogle Scholar
  38. Romer D (2006) Do firms maximize? evidence from professional football. J Pol Econ 114:340–365CrossRefGoogle Scholar
  39. Rottenberg S (1956) The baseball players’ labor market. J Pol Econ 64:242–258CrossRefGoogle Scholar
  40. Ruggerio J, Hadley L, Gustafson E, Knowles S (1996) Technical efficiency in Major League Baseball. In: Fizel J, Gustafson E, Hadley L (eds) Baseball economics: current research. Praeger, Westport, CTGoogle Scholar
  41. Scully G (1994) Managerial efficiency and survivability in professional team sports. Manag Dec Econ 15:403–411CrossRefGoogle Scholar
  42. Scully G (1995) The market structure of sports. University of Chicago Press, ChicagoGoogle Scholar
  43. Sexton T, Lewis H (2003) Two-stage DEA: an application to Major League Baseball. J Productiv Anal 19:227–249CrossRefGoogle Scholar
  44. Sowell T (2007) Basic economics: a common sense guide to the economy. Basic Books, Cambridge, MAGoogle Scholar
  45. Sowell T (2008) Economics facts and fallacies. Basic Books, Cambridge, MAGoogle Scholar
  46. Talluri S (2000) Data envelopment analysis: models and extensions. Dec Line May: 8–11Google Scholar
  47. Thaler R, Mullainathan S (2008). Behavioral economics. In: The concise encyclopedia of economics, 2nd ed. Liberty FundGoogle Scholar
  48. Timmer C (1971) Using a probabilistic frontier production function to measure technical efficiency. J Pol Econ 79:776–794CrossRefGoogle Scholar
  49. Tofallis C (2001) Combining two approaches to efficiency assessment. J Oper Res 52:1225–1231CrossRefGoogle Scholar
  50. Vedantham S (2007) Go for it on fourth down? Maybe you should ask an egghead. The Washington Post, Nov 5Google Scholar
  51. Zak T, Huang C, Siegfried J (1979) Production efficiency: the case of professional basketball. J Bus 52:379–392CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Keith D. Malone
    • 1
  • Jim F. Couch
    • 1
  • J. Douglas Barrett
    • 1
  1. 1.University of North AlabamaFlorenceUSA

Personalised recommendations