Supercompliers
在工具变量框架下定义了“超级依从者”这一子群体，他们既因资格而接受治疗，又因治疗而改善结果，是政策评估的关键对象。研究提出了识别和推断方法，并在两个职业培训实验中展示了如何将社会福利权重纳入公共资金边际价值分析。
In an instrumental variable framework, we define supercompliers as the subpopulation whose treatment take-up positively responds to eligibility and whose outcome positively responds to take-up. Supercompliers are the only subpopulation to benefit from treatment eligibility and, hence, are important for policy evaluation. We propose conditions for characterizing supercompliers, and show how estimation and inference can be conducted with instrumental variable regression. In two job training experiments, we demonstrate our machinery’s utility, particularly in incorporating social welfare weights into marginal value of public funds analyses.