Comparing the Predictive Information Content of College Football Rankings
AbstractThe 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 InfoPaper provided by Yale School of Management in its series Yale School of Management Working Papers with number ysm310.
Date of creation: 10 Oct 2002
Date of revision:
Football Rankings; Predictive Information;
Find related papers by JEL classification:
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
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- 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.
- Itay Fainmesser & Chaim Fershtman & Neil Gandal, 2009. "A Consistent Weighted Ranking Scheme With an Application to NCAA College Football Rankings," Journal of Sports Economics, , vol. 10(6), pages 582-600, December.
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