Incentive-compatible elicitation of quantiles

Incorporation of expert information in inference or decision settings is often important, especially in cases where data are unavailable, costly or unreliable. One approach is to elicit prior quantiles from an expert and then to fit these to a statistical distribution and proceed according to Bayes rule. An incentive-compatible elicitation method using an external randomization is available.

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Year of publication:	2009
Authors:	Kiefer, Nicholas M.
Publisher:	Ithaca, NY : Cornell University, Center for Analytical Economics (CAE)
Subject:	Bayesian inference \| mechanism design \| prior assessment

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Series:	CAE Working Paper ; 09-13
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	634835807 [GVK] hdl:10419/70465 [Handle]
Source:	EconStor

Persistent link: https://www.econbiz.de/10010292082