Supplementary Appendix for ‘Non-Bayesian Updating: A Theoretical Framework’

This appendix applies the model in ”Non-Bayesian Updating: A Theoretical Frame-Work” to address the question: What do non-Bayesian updaters learn?

Year of publication:	2008-01-18
Authors:	Epstein, Larry G. ; Noor, Jawwad ; Sandroni, Alvaro
Institutions:	Department of Economics, University of Pennsylvania
Subject:	Non-Bayesian Learning

Extent:	application/pdf
Series:	PIER Working Paper Archive.
Type of publication:	Book / Working Paper
Notes:	18 pages
Classification:	C70 - Game Theory and Bargaining Theory. General ; C12 - Hypothesis Testing ; D81 - Criteria for Decision-Making under Risk and Uncertainty
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005126673