A fundamental result in Bayesian persuasion and information design states that a distribution of posterior beliefs can be induced by an experiment if and only if the posterior beliefs average to the prior belief. We present a general version of this result that applies to infinite state and signal spaces.
|Publication status||Published - 19 Nov 2022|
|Series||SSRN Working papers|
- d81 - Criteria for Decision-Making under Risk and Uncertainty
- d83 - "Search; Learning; Information and Knowledge; Communication; Belief"
- Bayesian persuasion
- information design