Supplemental Appendix for 'Non-Bayesian Updating: A Theoretical Framework'
Larry G. Epstein
Boston University - College of Arts and Sciences
Boston University - Department of Economics
University of Pennsylvania - Department of Economics; Northwestern University - Kellogg School of Management
January 8, 2008
PIER Working Paper No. 08-017
This appendix applies the model in Non-Bayesian Updating: A Theoretical Frame-Work to address the question: What do non-Bayesian updaters learn?
Number of Pages in PDF File: 18
Keywords: NonBayesian, Learning
JEL Classification: C70, C12, D81working papers series
Date posted: May 19, 2008
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