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Supplemental Appendix for 'Non-Bayesian Updating: A Theoretical Framework'

PIER Working Paper No. 08-017

18 Pages Posted: 19 May 2008

See all articles by Larry G. Epstein

Larry G. Epstein

Boston University - College of Arts and Sciences

Jawwad Noor

Boston University - Department of Economics

Alvaro Sandroni

University of Pennsylvania - Department of Economics; Northwestern University - Kellogg School of Management

Date Written: January 8, 2008

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: NonBayesian, Learning

JEL Classification: C70, C12, D81

Suggested Citation

Epstein, Larry G. and Noor, Jawwad and Sandroni, Alvaro, Supplemental Appendix for 'Non-Bayesian Updating: A Theoretical Framework' (January 8, 2008). PIER Working Paper No. 08-017, Available at SSRN: https://ssrn.com/abstract=1133989 or http://dx.doi.org/10.2139/ssrn.1133989

Larry G. Epstein

Boston University - College of Arts and Sciences ( email )

Department of Economics, Room 352
270 Bay State Road
Boston, MA 02215
United States
617-353-4142 (Phone)

Jawwad Noor

Boston University - Department of Economics ( email )

270 Bay State Road
Boston, MA 02215
United States

Alvaro Sandroni (Contact Author)

University of Pennsylvania - Department of Economics ( email )

Ronald O. Perelman Center for Political Science
133 South 36th Street
Philadelphia, PA 19104-6297
United States

Northwestern University - Kellogg School of Management ( email )

2001 Sheridan Road
Evanston, IL 60208
United States
847-491-5461 (Phone)
847-467-1220 (Fax)

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