Bayesian Persuasion

Working Paper: NBER ID: w15540

Authors: Emir Kamenica; Matthew Gentzkow

Abstract: When is it possible for one person to persuade another to change her action? We take a mechanism design approach to this question. Taking preferences and initial beliefs as given, we introduce the notion of a persuasion mechanism: a game between Sender and Receiver defined by an information structure and a message technology. We derive necessary and sufficient conditions for the existence of a persuasion mechanism that strictly benefits Sender. We characterize the optimal mechanism. Finally, we analyze several examples that illustrate the applicability of our results.

Keywords: No keywords provided

JEL Codes: D83; K41; L15; M37


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
sender's actions (Y60)receiver's beliefs (D83)
receiver's beliefs (D83)sender's benefits from persuasion (D91)
sender's benefits from persuasion (D91)sender's utility (L97)
receiver's action remains constant in a neighborhood of beliefs (D80)sender benefits from persuasion (D91)
concavity of sender's payoff in relation to receiver's beliefs (D83)no disclosure of information is optimal (D82)
convexity of sender's payoff in relation to receiver's beliefs (C73)full disclosure is optimal (G40)

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