Information Design
研究设计者如何选择信号分布来影响代理人行为，在静态有限环境中推导最优信息结构，并在对称二元设定下完全刻画其特征。
A designer commits to a signal distribution that is informative about a payoff-relevant state. Conditional upon the privately observed signals, agents take actions that affect their payoffs as well as those of the designer. We show how to derive the (designer) optimal information structure in static finite environments. We fully characterize it in a symmetric binary setting for a parameterized game. In this environment, conditionally independent private signals are never strictly optimal.