IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

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

Listed author(s):
  • Mustafa R. Yilmaz

    (Northeastern University)

  • Sangit Chatterjee

    (Northeastern University)

  • Mohamed Habibullah

    (Northeastern University)

Registered author(s):

    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.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    Article provided by in its journal Journal of Sports Economics.

    Volume (Year): 2 (2001)
    Issue (Month): 2 (May)
    Pages: 181-193

    in new window

    Handle: RePEc:sae:jospec:v:2:y:2001:i:2:p:181-193
    Contact details of provider:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:sae:jospec:v:2:y:2001:i:2:p:181-193. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (SAGE Publications)

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.