Optimal Information Censorship
Boris Ginzburg
MPRA Paper from University Library of Munich, Germany
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 (search for similar items in EconPapers)
JEL-codes: D82 D83 (search for similar items in EconPapers)
Date: 2019-05-09
New Economics Papers: this item is included in nep-mic
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Citations: View citations in EconPapers (4)
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https://mpra.ub.uni-muenchen.de/94603/1/censorship_final_submission.pdf original version (application/pdf)
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Journal Article: Optimal information censorship (2019) 
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:94603
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