Costly Persuasion
研究了生成信息有成本时信息环境的设计问题，假设信号成本与预期不确定性减少成正比，并将Kamenica和Gentzkow（2011）的凹化方法推广到这些设定中。
We study the design of informational environments in settings where generating information is costly. We assume that the cost of a signal is proportional to the expected reduction in uncertainty. We show that Kamenica & Gentzkow's (2011) concavification approach to characterizing optimal signals extends to these settings.