Signal Disclosure in Information Design (Job Market Paper)
 This paper studies the information design environment where the designer is restricted to using messages that players can publicly and verifiably disclose. I employ a belief-based approach to characterizing the designer's optimal payoff among disclosure-proof outcomes, utilizing the methods of Mathevet, Perego & Taenva (2020). Unlike in the standard information design environment, the designer's optimal outcome may require an indirect information structure. It is without loss for the designer to send messages specifying a player's full beliefs and a menu of contingent action recommendations. I apply these results to a class of games which I call leader-follower games. If a leader-follower game has positive spillovers, then a designer with increasing preferences can do no better than public information. If the game does not have positive spillovers, private information may still be valuable under signal disclosure.