Identifying the Effect of Persuasion
澄清了文献中常用说服度量指标的含义，利用潜在结果框架定义因果说服率，并证明常用指标通常高估因果效应，同时提出新的参数和实用因果推断方法。
This paper examines a commonly used measure of persuasion whose precise interpretation has been obscure in the literature. By using the potential outcome framework, we define the causal persuasion rate by a proper conditional probability of taking the action of interest with a persuasive message conditional on not taking the action without the message. We then formally study identification under empirically relevant data scenarios and show that the commonly adopted measure generally does not estimate—but often overstates—the causal rate of persuasion. We discuss several new parameters of interest and provide practical methods for causal inference.