Abstract
We address the question to which degree the private information of a decision maker is revealed through his optimal action, in an environment with compact metrizable state and action space. We show that the decision maker's optimal action reveals his posterior distribution for a generic set of continuous utility functions if and only if the set of actions contains no isolated points.
Original language | English |
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Pages (from-to) | 455-461 |
Number of pages | 7 |
Journal | Games and Economic Behavior |
Volume | 102 |
DOIs | |
State | Published - 1 Mar 2017 |
Keywords
- Belief revelation
- Information aggregation
- Learning
- Scoring rules
All Science Journal Classification (ASJC) codes
- Finance
- Economics and Econometrics