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

Larry Epstein, Jawwad Noor and Alvaro Sandroni ()
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Alvaro Sandroni: Department of Economics, University of Pennsylvania

PIER Working Paper Archive from Penn Institute for Economic Research, Department of Economics, University of Pennsylvania

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

Keywords: Non-Bayesian; Learning (search for similar items in EconPapers)
JEL-codes: C12 C70 D81 (search for similar items in EconPapers)
Pages: 18 pages
Date: 2008-01-18
New Economics Papers: this item is included in nep-cba and nep-gth
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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