Artikel

Non-Bayesian updating: A theoretical framework

This paper models an agent in a multi-period setting who does not update according to Bayes' Rule, and who is self-aware and anticipates her updating behavior when formulating plans. Choice-theoretic axiomatic foundations are provided to capture updating biases that reflect excessive weight given to either prior beliefs, or alternatively, to observed data. A counterpart of the exchangeable Bayesian learning model is also described.

Language
Englisch

Bibliographic citation
Journal: Theoretical Economics ; ISSN: 1555-7561 ; Volume: 3 ; Year: 2008 ; Issue: 2 ; Pages: 193-229 ; New York, NY: The Econometric Society

Classification
Wirtschaft
Criteria for Decision-Making under Risk and Uncertainty
Subject
Non-Bayesian updating
temptation and self-control
overreaction
underreaction
learning
law of small numbers

Event
Geistige Schöpfung
(who)
Epstein, Larry G.
Noor, Jawwad
Sandroni, Alvaro
Event
Veröffentlichung
(who)
The Econometric Society
(where)
New York, NY
(when)
2008

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Epstein, Larry G.
  • Noor, Jawwad
  • Sandroni, Alvaro
  • The Econometric Society

Time of origin

  • 2008

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