Kolotilin, Anton; Mylovanov, Tymofiy; Zapechelnyuk, Andriy - 2021
We consider a Bayesian persuasion problem where a sender's utility depends only on the expected state. We provide a necessary and sufficient condition for the optimality of upper censorship that pools the states above a cutoff and reveals the states below the cutoff. This condition is equivalent...