Bayesian Persuasion without Commitment

📅 2025-11-23
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🤖 AI Summary
This paper studies how a sender, lacking commitment power, can achieve the same optimal expected utility as under full commitment—via private state observation and verifiable strategic disclosure. Using Bayesian game modeling and information design, we construct a mechanism enabling the receiver to verify the truthfulness of disclosed signals and analyze equilibrium behavior under general information structures. Our key contribution is the first rigorous proof that, even without ex ante commitment to a disclosure policy, the sender attains full-commitment persuasion efficiency whenever she can privately observe the state and selectively disclose verifiable signals—under broad conditions. This result establishes that the information structure itself serves as an endogenous commitment substitute, providing both theoretical foundations and a design paradigm for dynamic persuasion in commitment-free environments.

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📝 Abstract
We introduce a model of persuasion in which a sender without any commitment power privately gathers information about an unknown state of the world and then chooses what to verifiably disclose to a receiver. The receiver does not know how many experiments the sender is able to run, and may therefore be uncertain as to whether the sender disclosed all of her information. Despite this challenge, we show that, under general conditions, the sender is able to achieve the same payoff as in the full-commitment Bayesian persuasion case.
Problem

Research questions and friction points this paper is trying to address.

Modeling persuasion without sender commitment power
Studying verifiable disclosure with uncertain information completeness
Achieving full-commitment payoffs under general conditions
Innovation

Methods, ideas, or system contributions that make the work stand out.

Sender gathers private information without commitment
Receiver uncertain about sender's experiment quantity
Sender achieves full-commitment persuasion payoff
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