Private Private Information
ACM Conference on Economics and Computation (EC), 2021
Main:42 Pages
9 Figures
Bibliography:8 Pages
Appendix:31 Pages
Abstract
In a private private information structure, agents' signals contain no information about the signals of their peers. We study how informative such structures can be, and characterize those that are on the Pareto frontier, in the sense that it is impossible to give more information to any agent without violating privacy. In our main application, we show how to optimally disclose information about an unknown state under the constraint of not revealing anything about a correlated variable that contains sensitive information.
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