A Rothschild-Stiglitz Approach to Bayesian Persuasion

S-Tier
Journal: American Economic Review
Year: 2016
Volume: 106
Issue: 5
Pages: 597-601

Authors (2)

Matthew Gentzkow (Stanford University) Emir Kamenica (not in RePEc)

Score contribution per author:

4.022 = (α=2.01 / 2 authors) × 4.0x S-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:aea:aecrev:v:106:y:2016:i:5:p:597-601
Journal Field
General
Author Count
2
Added to Database
2026-01-25