Application of DEA to Voting for the Baseball Hall of Fame
AbstractThis 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.
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Bibliographic InfoPaper provided by University of Connecticut, Department of Economics in its series Working papers with number 2010-22.
Length: 21 pages
Date of creation: Aug 2010
Date of revision:
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Baseball hall of fame; data envelopment analysis; production theory;
Find related papers by JEL classification:
- C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
- D20 - Microeconomics - - Production and Organizations - - - General
- L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Recreation; Tourism
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-09-11 (All new papers)
- NEP-CDM-2010-09-11 (Collective Decision-Making)
- NEP-CUL-2010-09-11 (Cultural Economics)
- NEP-EFF-2010-09-11 (Efficiency & Productivity)
- NEP-SPO-2010-09-11 (Sports & Economics)
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