A Rothschild-Stiglitz Approach to Bayesian Persuasion

Matthew Gentzkow and Emir Kamenica

American Economic Review, 2016, vol. 106, issue 5, 597-601

Abstract: Rothschild and Stiglitz (1970) represent random variables as convex functions (integrals of the cumulative distribution function). Combining this representation with Blackwell's Theorem (1953), we characterize distributions of posterior means that can be induced by a signal. This characterization provides a novel way to analyze a class of Bayesian persuasion problems.

JEL-codes: D83 (search for similar items in EconPapers)
Date: 2016
Note: DOI: 10.1257/aer.p20161049
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Citations: View citations in EconPapers (85)

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