Reverse Bayesianism: revising beliefs in light of unforeseen events
Bayesian Updating is the dominant theory of learning in economics. The theory is silent about how individuals react to events that were previously unforeseeable or unforeseen. Recent theoretical literature has put forth axiomatic frameworks to analyze the unknown. In particular, we test if subjects...
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| Main Authors: | , , , , |
|---|---|
| Format: | Book/Monograph Working Paper |
| Language: | English |
| Published: |
Bonn, Germany
IZA - Institute of Labor Economics
October 2020
|
| Series: | Discussion paper series / IZA
no. 13821 |
| In: |
Discussion paper series (no. 13821)
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| Subjects: | |
| Online Access: | Verlag, kostenfrei: http://ftp.iza.org/dp13821.pdf Verlag, kostenfrei: https://www.iza.org/publications/dp/13821/reverse-bayesianism-revising-beliefs-in-light-of-unforeseen-events Resolving-System, kostenfrei: http://hdl.handle.net/10419/227348 |
| Author Notes: | Christoph K. Becker, Tigran Melkonyan, Eugenio Proto, Andis Sofianos, Stefan T. Trautmann |
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Reverse Bayesianism: revising beliefs in light of unforeseen events
Book/Monograph
Working Paper
Online Resource
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Reverse Bayesianism: revising beliefs in light of unforeseen events
Book/Monograph
Working Paper
Online Resource