A Rothschild-Stiglitz Approach to Bayesian Persuasion
2016; American Economic Association; Volume: 106; Issue: 5 Linguagem: Inglês
10.1257/aer.p20161049
ISSN1944-7981
AutoresMatthew Gentzkow, Emir Kamenica,
Tópico(s)Game Theory and Voting Systems
ResumoRothschild 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.
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