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A comparison of two voting models to forecast election into The National Baseball Hall of Fame

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  • David W. Findlay

    (Colby College, Waterville, ME 04901, USA)

  • Clifford E. Reid

    (Colby College, Waterville, ME 04901, USA)

Abstract

We present a comparison of two voting models to forecast election into The National Baseball Hall of Fame by the Baseball Writers Association of America. Although both voting models provide similar predictions on which eligible players should be elected into the Baseball Hall of Fame, we believe that the voting model that uses individual performance variables rather than a single performance index is marginally better because it allows the data to determine the relative importance of the individual performance variables included in the single performance index. Copyright © 2002 John Wiley & Sons, Ltd.

Suggested Citation

  • David W. Findlay & Clifford E. Reid, 2002. "A comparison of two voting models to forecast election into The National Baseball Hall of Fame," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 23(3), pages 99-113.
  • Handle: RePEc:wly:mgtdec:v:23:y:2002:i:3:p:99-113 DOI: 10.1002/mde.1050
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    1. Clark Nardinelli & Curtis Simon, 1990. "Customer Racial Discrimination in the Market for Memorabilia: The Case of Baseball," The Quarterly Journal of Economics, Oxford University Press, vol. 105(3), pages 575-595.
    2. Andersen, Torben & La Croix, Sumner J, 1991. "Customer Racial Discrimination in Major League Baseball," Economic Inquiry, Western Economic Association International, vol. 29(4), pages 665-677, October.
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    Cited by:

    1. Young William A & Holland William S & Weckman Gary R, 2008. "Determining Hall of Fame Status for Major League Baseball Using an Artificial Neural Network," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 4(4), pages 1-46, October.
    2. Mills Brian M. & Salaga Steven, 2011. "Using Tree Ensembles to Analyze National Baseball Hall of Fame Voting Patterns: An Application to Discrimination in BBWAA Voting," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(4), pages 1-32, October.

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