论文标题
多维未观察的异质性的治疗效果：边际治疗效果的识别
Treatment Effects with Multidimensional Unobserved Heterogeneity: Identification of the Marginal Treatment Effect
论文作者
论文摘要
本文建立了足够的条件，可以通过多价处理来鉴定边际治疗效果。我们的模型基于具有实用性最大化的多项式选择模型。我们的MTE概括了Heckman和Vytlacil（2005）在二元治疗模型中定义的MTE。就像在二元案例中一样，我们可以将MTE解释为在特定水平上两种治疗之间无动于衷的人的治疗效果。我们的MTE使一个人能够获得与选择集相对于选择集的特定偏好顺序的人的治疗效果。此外，我们的结果可以识别其他参数，例如潜在结果的边际分布。
This paper establishes sufficient conditions for the identification of the marginal treatment effects with multivalued treatments. Our model is based on a multinomial choice model with utility maximization. Our MTE generalizes the MTE defined in Heckman and Vytlacil (2005) in binary treatment models. As in the binary case, we can interpret the MTE as the treatment effect for persons who are indifferent between two treatments at a particular level. Our MTE enables one to obtain the treatment effects of those with specific preference orders over the choice set. Further, our results can identify other parameters such as the marginal distribution of potential outcomes.
