Belief Formation and Belief Updating under Ambiguity: Evidence from Experiments
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Date
2019-09-21
Author
Li, Wenhui
Wilde, Christian
SAFE No.
251
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Abstract
Decisions under ambiguity depend on both the belief regarding possible scenarios and the attitude towards ambiguity. This paper exclusively focuses on beliefs, measured independent from attitudes. We use laboratory experiments to elicit the subjective belief formation and belief updating process in an ambiguous environment. As a main contribution, we elicit the entire belief distribution of individual subjects. For almost half of the subjects, we can reject the objective equality hypothesis that one's initial prior follows a uniform distribution. The results also show that, when updating beliefs, more than half of the subjects closely follow the Bayes rule. The rest significantly deviate from Bayes. An investigation of a possible bias in beliefs reveals that subjects' beliefs are mostly neutral and do not display pessimism or optimism.
Research Area
Financial Markets
Experiment Center
Experiment Center
Keywords
ambiguity, belief distribution, belief updates, learning strategy, bayes' rule, laboratory experiments
JEL Classification
D81, D83
Research Data
Topic
Systematic Risk
Monetary Policy
Investor Behaviour
Monetary Policy
Investor Behaviour
Relations
1
Publication Type
Working Paper
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- LIF-SAFE Working Papers [334]