论文标题
超级程序
Supercompliers
论文作者
论文摘要
在二进制处理仪器变量框架中，我们将超级程序定义为亚种群，其治疗方法对资格有积极的反应，其结果对吸收的积极反应。超级程序是从治疗资格中受益的唯一子群，因此对于政策很重要。我们提供工具来表征一组共同测试假设下的超级程序。具体而言，我们需要局部平均治疗效果文献和结果单调性假设的标准假设。可以通过仪器变量回归进行估计和推理。在两个工作培训实验中，我们证明了机械的效用，尤其是将社会福利权重纳入边际公共基金分析中。
In a binary-treatment 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. We provide tools to characterize supercompliers under a set of jointly testable assumptions. Specifically, we require standard assumptions from the local average treatment effect literature plus an outcome monotonicity assumption. 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 analysis.
