Comparative Testing of Experts
We show that a simple "reputation-style" test can always identify which of two experts is informed about the true distribution. The test presumes no prior knowledge of the true distribution, achieves any desired degree of precision in some fixed finite time, and does not use "counterfactual" predictions. Our analysis capitalizes on a result of Fudenberg and Levine (1992) on the rate of convergence of supermartingales. Copyright Copyright 2008 by The Econometric Society.
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Volume (Year): 76 (2008)
Issue (Month): 3 (05)
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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.:
- Ehud Kalai, 1995.
"Calibrated Forecasting and Merging,"
1144R, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Ehud Kalai & Ehud Lehrer & Rann Smorodinsky, 2010. "Calibrated Forecasting and Merging," Levine's Working Paper Archive 584, David K. Levine.
- Ehud Kalai, 1995. "Calibrated Forecasting and Merging," Discussion Papers 1144, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Fudenberg, Drew & Levine, David, 1999.
"An Easier Way to Calibrate,"
3203773, Harvard University Department of Economics.
- Lehrer, Ehud, 2001. "Any Inspection Is Manipulable," Econometrica, Econometric Society, vol. 69(5), pages 1333-47, September.
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