Steroids in MLB: An Analysis of Pitchers

Part of the Sports Economics, Management and Policy book series (SEMP, volume 1)


In the last chapter, we applied DEA to obtain a measure of aggregate performance by each hitter in each season. We then analyzed each player’s age–performance profile to identify unusual performances. The theory is that eventually, diminishing returns sets in as a player gets older. A quadratic specification was chosen to identify the age of peak performance and to predict performance as age increases. Using stars who played prior to the steroid era, we established benchmark age–performance profiles. We then applied the method to known steroid users to see if enhancement allowed players to defy the standard profiles. The results do provide insight into potential steroid use.


Trend Line Peak Performance Performance Profile Free Agent Steroid User 
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.

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of EconomicsUniversity of DaytonDaytonUSA

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