Optimal Information Censorship

19 Pages Posted: 22 Aug 2012 Last revised: 28 Mar 2019

See all articles by Boris Ginzburg

Boris Ginzburg

Universidad Carlos III de Madrid

Date Written: March 23, 2019

Abstract

This paper analyses Bayesian persuasion of a privately informed receiver in a linear framework. The sender is restricted to censorship, that is, to strategies in which each state is either perfectly revealed or hidden. I develop a new approach to finding optimal censorship strategies based on direct optimisation. I also show how this approach can be used to restrict the set of optimal censorship schemes, and to analyse optimal censorship under certain classes of distributions of the receiver's type.

Keywords: Bayesian persuasion; censorship

JEL Classification: D82, D83

Suggested Citation

Ginzburg, Boris, Optimal Information Censorship (March 23, 2019). Available at SSRN: https://ssrn.com/abstract=2127877 or http://dx.doi.org/10.2139/ssrn.2127877

Boris Ginzburg (Contact Author)

Universidad Carlos III de Madrid ( email )

CL. de Madrid 126
Madrid, Madrid 28903
Spain

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