Axiomatic Characterization of the Quadratic Scoring Rule
AbstractIn the evaluation of experiments often the problem arises of how to compare the predictive success of competing probabilistic theories. The quadratic scoring rule can be used for this purpose. Originally, this rule was proposed as an incentive compatible elicitation method for probabilistic expert judgments. It is shown that up to a positive linear transformation, the quadratic scoring rule is characterized by four desirable properties. Copyright Economic Science Association 1998
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Bibliographic InfoArticle provided by Springer in its journal Experimental Economics.
Volume (Year): 1 (1998)
Issue (Month): 1 (June)
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Web page: http://www.springerlink.com/link.asp?id=102888
scoring rules; descriptive statistics;
Other versions of this item:
- Selten, Reinhard, 1996. "Axiomatic Characterization of the Quadratic Scoring Rule," Discussion Paper Serie B 390, University of Bonn, Germany.
- C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Daniel Friedman, 1983. "Effective Scoring Rules for Probabilistic Forecasts," Management Science, INFORMS, vol. 29(4), pages 447-454, April.
- James E. Matheson & Robert L. Winkler, 1976. "Scoring Rules for Continuous Probability Distributions," Management Science, INFORMS, vol. 22(10), pages 1087-1096, June.
- Selten,Reinhard, .
"Properties of a measure of predictive succes,"
Discussion Paper Serie B
130, University of Bonn, Germany.
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