Optimal Information Censorship
19 Pages Posted: 22 Aug 2012 Last revised: 28 Mar 2019
Date Written: March 23, 2019
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: 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
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