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Supplemental Appendix for 'Non-Bayesian Updating: A Theoretical Framework'Larry G. EpsteinBoston University - College of Arts and Sciences Jawwad NoorBoston University - Department of Economics Alvaro SandroniUniversity of Pennsylvania - Department of Economics; Northwestern University - Kellogg School of Management January 8, 2008 PIER Working Paper No. 08-017 Abstract: 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, D81 working papers seriesDate posted: May 19, 2008Suggested CitationContact Information
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