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Comparing the Predictive Information Content of College Football Rankings

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Author Info

  • Ray C. Fair

    ()
    (Cowles Foundation)

  • John F. Oster

    ()
    (General)

Abstract

The method in Fair and Shiller (1990) is used in this paper to compare the predictive information content of various college football ranking systems. The results show that a number of systems have useful independent information. Optimal weights for the systems are estimated, and the use of these weights produces a predictive system that is more accurate than any of the individual systems. The results also provide a fairly precise estimate of the size of the home field advantage.

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Bibliographic Info

Paper provided by Yale School of Management in its series Yale School of Management Working Papers with number ysm310.

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Date of creation: 10 Oct 2002
Date of revision:
Handle: RePEc:ysm:somwrk:ysm310

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Web page: http://icf.som.yale.edu/
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Related research

Keywords: Football Rankings; Predictive Information;

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Cited by:
  1. Fainmesser, Itay & Fershtman, Chaim & Gandal, Neil, 2005. "A Consistent Weighted Ranking Scheme with an Application to NCAA College Football Rankings," CEPR Discussion Papers 5239, C.E.P.R. Discussion Papers.

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