Feasible Conditional Belief Distributions

Itai Arieli, Yakov Babichenko and Fedor Sandomirskiy

Papers from arXiv.org

Abstract: Agents receive private signals about an unknown state. The resulting joint belief distributions are complex and lack a simple characterization. Our key insight is that, when conditioned on the state, the structure of belief distributions simplifies: feasibility constrains only the marginal distributions of individual agents across states, with no joint constraints within a state. We apply this insight to multi-receiver persuasion, identifying new tractable cases and introducing optimal transportation and duality tools.

Date: 2023-07, Revised 2024-11
New Economics Papers: this item is included in nep-gth and nep-mic
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