Application of DEA to Voting for the Baseball Hall of Fame
This paper applies Data Envelopment Analysis (DEA) to voting for the Baseball Hall of Fame. The approach interprets a player's career statistics as inputs, and the percentage of votes he received for the HOF as the output. A constructed frontier based on past voting defines the maximum number of votes that a player should receive based on his statistical profile. Our results suggest that about a third of current members of the HOF (excluding Negro League players, managers, umpires, and executives) should be replaced by more deserving players. Our conclusions, however, do not account for those aspects of a player's career (both positive and negative) not captured by statistics.
|Date of creation:||Aug 2010|
|Contact details of provider:|| Postal: University of Connecticut 365 Fairfield Way, 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
When requesting a correction, please mention this item's handle: RePEc:uct:uconnp:2010-22. 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: (Mark McConnel)
If references are entirely missing, you can add them using this form.