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https://dx.doi.org/10.48550/ar...
Article . 2024
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Persuasion with Ambiguous Communication

Authors: Xiaoyu Cheng; Peter Klibanoff; Sujoy Mukerji; Ludovic Renou;

Persuasion with Ambiguous Communication

Abstract

This paper explores whether and to what extent ambiguous communication can be beneficial to the sender in a persuasion problem, when the receiver (and possibly the sender) is ambiguity averse. We provide a concavification-like characterization of the sender's optimal ambiguous communication. The characterization highlights the necessity of using a collection of experiments that form a splitting of an obedient (i.e., incentive compatible) experiment. Some experiments in the collection must be Pareto-ranked in the sense that both players agree on their payoff ranking. The existence of a binary such Pareto-ranked splitting is necessary for ambiguous communication to benefit the sender, and, if an optimal Bayesian persuasion experiment can be split in this way, this is sufficient for an ambiguity-neutral sender as well as the receiver to benefit. Such gains are impossible when the receiver has only two actions. The possibility of gains is substantially robust to (non-extreme) sender ambiguity aversion.

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Keywords

FOS: Economics and business, Economics - Theoretical Economics, Theoretical Economics (econ.TH)

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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