This paper studies how the outcome of Bayesian persuasion depends on the information available to Sender. I study a game in which Designer restricts the most informative signal Sender can generate. In the binary action case, I consider arbitrary preferences of Designer and characterize all...

How should an agent (the sender) observing multi-dimensional data (the state vector) persuade another agent to take the desired action? We show that it is always optimal for the sender to perform a (non-linear) dimension reduction by projecting the state vector onto a lower-dimensional object...