Journal of Productivity Analysis

, Volume 35, Issue 1, pp 61–74 | Cite as

Pay, productivity and aging in Major League Baseball

Article

Abstract

Using panels of player pay and performance from Major League Baseball (MLB), we examine trends in player productivity and salaries as players age. Pooling players of all ability levels leads to a systematic bias in regression coefficients. After addressing this problem by dividing players into talent quintiles, we find that the best players peak about 2 years later than marginal players, and development and depreciation of performance appear to be more pronounced for players with the highest ability levels. Within-career variation, however, is less pronounced than between-player variation, and the performance level of players within a given quintile will typically remain lower than the talent level for rookies in the next higher quintile. We also find preliminary evidence that free agents are paid proportionately to their production at all ability levels, whereas young players’ salaries are suppressed by similar amounts.

Keywords

Major League Baseball (MLB) Career dynamics Player salaries and performance Quintile analysis 

JEL Classification

J3 J24 J42 L83 

References

  1. Albert J (1999) Bridging different eras in sports: comment. J Am Stat Assoc 94:677–680CrossRefGoogle Scholar
  2. Berri DJ, Simmons R (2009) Race and the evaluation of signal callers in the National Football League. J Sports Econ 10:23–43CrossRefGoogle Scholar
  3. Burgess PL, Marburger DR (1992) Bargaining power and baseball. In: Sommers PM (ed) Diamonds are forever: the business of baseball. Brookings Institute Press, Washington DCGoogle Scholar
  4. Fair RC (2008) Estimated age effects in baseball. J Quant Anal Sports 4:11Google Scholar
  5. Fort R (1992) Pay and performance: is the field of dreams barren? In: Sommers PM (ed) Diamonds are forever: the business of baseball. Brookings Institute Press, Washington DCGoogle Scholar
  6. Hakes JK, Sauer RD (2006) An economic evaluation of the Moneyball hypothesis. J Econ Perspect 20:173–185CrossRefGoogle Scholar
  7. Hamilton BH (1997) Racial discrimination and professional basketball salaries in the 1990s. Appl Econ 29:287–296CrossRefGoogle Scholar
  8. Horowitz I, Zappe C (1998) Thanks for the memories: baseball veterans’ end-of-career salaries. Manag Decis Econ 19:377–382CrossRefGoogle Scholar
  9. Humphries BR (2000) Equal pay on the hardwood: the earnings gap between male and female NCAA division I basketball coaches. J Sports Econ 1:299–307CrossRefGoogle Scholar
  10. James B (1982) The Bill James baseball abstract. Ballantine Books, New YorkGoogle Scholar
  11. James B (1988) The Bill James baseball abstract. Ballantine Books, New YorkGoogle Scholar
  12. Kahn LM (1991) Discrimination in professional sports: a survey of the literature. Ind Labor Relat Rev 44:395–418CrossRefGoogle Scholar
  13. Kahn LM (1993) Free agency, long-term contracts and compensation in Major League Baseball: estimates from panel data. Rev Econ Stat 75:157–164CrossRefGoogle Scholar
  14. Kahn LM (2006) Race, performance, pay, and retention among National Basketball Association head coaches. J Sports Econ 7:119–149CrossRefGoogle Scholar
  15. Krautman AC (1993) Shirking of stochastic productivity in Major League Baseball: reply. South Econ J 60:241–243CrossRefGoogle Scholar
  16. Krohn GA (1983) Measuring the experience-productivity relationship: the case of Major League Baseball. J Bus Econ Stat 1:273–279CrossRefGoogle Scholar
  17. Madden JF (2004) Differences in the success of NFL coaches by race, 1990–2002: evidence of the last hire, first fire. J Sports Econ 5:6–19CrossRefGoogle Scholar
  18. Marburger DR (1994) Bargaining power and the structure of salaries in Major League Baseball. Manag Decis Econ 15:433–441CrossRefGoogle Scholar
  19. Marburger DR (2004) Arbitrator compromise in final offer arbitration: evidence from Major League Baseball. Econ Inq 42:60–68CrossRefGoogle Scholar
  20. Miller PA (2000) A comparison of free agent and arbitration-eligible salary structures in Major League Baseball. South Econ J 67:87–104CrossRefGoogle Scholar
  21. Schulz R, Musa D, Staszewski J, Siegler RS (1994) The relationship between age and Major League Baseball performance: implications for development. Psychol Aging 9:274–286CrossRefGoogle Scholar
  22. Scully G (1974) Pay and performance in major league baseball. Am Econ Rev 64:915–930Google Scholar
  23. Singell LD Jr (1991) Baseball-specific human capital: why good but not great players coach in the major leagues. South Econ J 58:77–86CrossRefGoogle Scholar
  24. Vincent C, Eastman B (2009) Determinants of pay in the NHL: a quantile regression approach. J Sports Econ 10:256–277CrossRefGoogle Scholar
  25. Vrooman J (1996) The baseball players’ labor market reconsidered. South Econ J 63:339–360CrossRefGoogle Scholar
  26. Zimbalist A (1992) Baseball and billions. Basic Books, New YorkGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Department of Economics and ManagementAlbion CollegeAlbionUSA
  2. 2.Department of Finance and EconomicsNicholls State UniversityThibodauxUSA

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