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A Rothschild-Stiglitz Approach to Bayesian Persuasion
Resource type
Authors/contributors
- Gentzkow, Matthew (Author)
- Kamenica, Emir (Author)
Title
A Rothschild-Stiglitz Approach to Bayesian Persuasion
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.
Publication
American Economic Review
Volume
106
Issue
5
Pages
597-601
Date
2016-05
Citation
Gentzkow, M., & Kamenica, E. (2016). A Rothschild-Stiglitz Approach to Bayesian Persuasion. American Economic Review, 106, 597–601.
Journals
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