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Improvement by Spreading the Wealth: The Case of Home Runs in Major League Baseball

Author

Listed:
  • Mustafa R. Yilmaz

    (Northeastern University)

  • Sangit Chatterjee

    (Northeastern University)

  • Mohamed Habibullah

    (Northeastern University)

Abstract

This study focuses on individual home run hitting in Major League Baseball. It is observed that the distribution of the rate of home run hitting is highly right skewed, but it is becoming discernibly less so over time. Frequencies of the lowest rates have been decreasing, whereas the frequencies of the higher rates are increasing. As a result, the mean rate as well as the standard deviation have both been increasing. On the other hand, relative variability as measured by the coefficient of variation has been decreasing over time. These observations lend support to an improvement in home run hitting in the sense that (a) more players are hitting a higher number of home runs, and (b) there is a more even distribution of home run hitting rates among players.

Suggested Citation

  • Mustafa R. Yilmaz & Sangit Chatterjee & Mohamed Habibullah, 2001. "Improvement by Spreading the Wealth: The Case of Home Runs in Major League Baseball," Journal of Sports Economics, , vol. 2(2), pages 181-193, May.
  • Handle: RePEc:sae:jospec:v:2:y:2001:i:2:p:181-193
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    Cited by:

    1. Sangit Chatterjee & Frederick Wiseman & Robert Perez, 2002. "Studying improved performance in golf," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(8), pages 1219-1227.
    2. Martin Schmidt, 2009. "The nonlinear behavior of competition: the impact of talent compression on competition," Journal of Population Economics, Springer;European Society for Population Economics, vol. 22(1), pages 57-74, January.

    More about this item

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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