Ginzburg, Boris (2019): Optimal Information Censorship. Published in: Journal of Economic Behavior and Organization , Vol. 163, (July 2019): pp. 377-385.
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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.
| Item Type: | MPRA Paper |
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| Original Title: | Optimal Information Censorship |
| Language: | English |
| Keywords: | Bayesian persuasion; censorship |
| Subjects: | D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D82 - Asymmetric and Private Information ; Mechanism Design D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D83 - Search ; Learning ; Information and Knowledge ; Communication ; Belief ; Unawareness |
| Item ID: | 94603 |
| Depositing User: | Boris Ginzburg |
| Date Deposited: | 23 Jun 2019 08:33 |
| Last Modified: | 27 Sep 2019 04:17 |
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| URI: | https://mpra.ub.uni-muenchen.de/id/eprint/94603 |

