2019
DOI: 10.1016/j.geb.2019.07.006
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Limiting Sender's information in Bayesian persuasion

Abstract: This paper studies how the outcome of Bayesian persuasion depends on a sender's information. I study a game in which, prior to the sender's information disclosure, the designer can restrict the most informative signal that the sender can generate. In the binary action case, I consider arbitrary preferences of the designer and characterize all equilibrium outcomes. As a corollary, I solve a problem of how to maximize a receiver's payoffs by restricting the sender's information: Whenever the designer can increas… Show more

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Cited by 17 publications
(5 citation statements)
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References 17 publications
(12 reference statements)
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“…In particular, they provide an algorithm that achieves the optimal way to limit the seller's information to maximize the expected buyers' utility. Ichihashi [14] considered a Bayesian persuasion setting and studied how the outcome of the interaction is affected when the sender's information is restricted. One of their results is that, if the receiver restricts sender information in a pre-play stage, the best utility that the receiver can get in this setting coincides with the one that the receiver would get in the "flipped game", where the receiver persuades the sender.…”
Section: Related Literaturementioning
confidence: 99%
“…In particular, they provide an algorithm that achieves the optimal way to limit the seller's information to maximize the expected buyers' utility. Ichihashi [14] considered a Bayesian persuasion setting and studied how the outcome of the interaction is affected when the sender's information is restricted. One of their results is that, if the receiver restricts sender information in a pre-play stage, the best utility that the receiver can get in this setting coincides with the one that the receiver would get in the "flipped game", where the receiver persuades the sender.…”
Section: Related Literaturementioning
confidence: 99%
“…Gentzkow and Kamenica ( 2016 ) consider multiple senders and a single receiver and show that the amount of revealed information increases with the number of senders. Ichihashi ( 2019 ) considers a model of a single sender and receiver in which a designer can restrict the most informative message profile that the sender can generate, and he characterizes the information restriction that maximizes the receiver’s payoff. More recently, Brooks et al ( 2022 ) and Mathevet and Taneva ( 2022 ) consider information hierarchies.…”
Section: Related Literaturementioning
confidence: 99%
“…, n}, which means n different users in the same area. Each user has to submit his demand information, u i (d i , ω i ), to the governor, which is decided by his true private demand information d i and user i's control effort level ω i related to self-reporting [37]. The cost related to…”
Section: Self-report Information Analysismentioning
confidence: 99%