Advanced Search
MyIDEAS: Login

Efficient Production of Wins in Major League Baseball

Contents:

Author Info

  • Brian Volz

    (University of Connecticut)

Abstract

Data Envelopment Analysis (DEA) is applied to Major League Baseball salary and performance data from 1985 to 2006 in order to identify those teams which produced wins most efficiently and the characteristics which lead to efficient production. It is shown that on average both National and American League teams over allocate the most resources to first basemen. Additionally, it is found that National League teams should allocate significantly more resources towards starting pitching while American League teams should allocate significantly more resources toward second base. It is also observed that efficient teams use younger less experienced players and employ rosters with a greater number of previous all star appearances.

Download Info

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: http://www.econ.uconn.edu/working/2008-50.pdf
File Function: Full text
Download Restriction: no

Bibliographic Info

Paper provided by University of Connecticut, Department of Economics in its series Working papers with number 2008-50.

as in new window
Length: 46 pages
Date of creation: Dec 2008
Date of revision:
Handle: RePEc:uct:uconnp:2008-50

Contact details of provider:
Postal: University of Connecticut 341 Mansfield Road, Unit 1063 Storrs, CT 06269-1063
Phone: (860) 486-4889
Fax: (860) 486-4463
Web page: http://www.econ.uconn.edu/
More information through EDIRC

Related research

Keywords: Baseball; DEA; Efficiency;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

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

Citations

Lists

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

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:uct:uconnp:2008-50

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

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.