Axiomatic Characterization of the Quadratic Scoring Rule
In 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
Volume (Year): 1 (1998)
Issue (Month): 1 (June)
|Contact details of provider:|| Web page: http://www.springer.com|
More information through EDIRC
|Order Information:||Web: http://www.springer.com/economics/economic+theory/journal/10683/PS2|
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.:
- Selten, Reinhard, 1991.
"Properties of a measure of predictive success,"
Mathematical Social Sciences,
Elsevier, vol. 21(2), pages 153-167, April.
- James E. Matheson & Robert L. Winkler, 1976. "Scoring Rules for Continuous Probability Distributions," Management Science, INFORMS, vol. 22(10), pages 1087-1096, June.
- Daniel Friedman, 1983. "Effective Scoring Rules for Probabilistic Forecasts," Management Science, INFORMS, vol. 29(4), pages 447-454, April.
When requesting a correction, please mention this item's handle: RePEc:kap:expeco:v:1:y:1998:i:1:p:43-61. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla)or (Rebekah McClure)
If references are entirely missing, you can add them using this form.