Econometrica · 2018 · Matthew A. Masten、Alexandre Poirier
中文摘要
处理分配与潜在结果之间的条件独立性是一个常用但不可证伪的假设。我们在对该条件独立性假设进行非参数偏离的情形下,推导出多种处理效应参数的识别集。这些偏离通过条件处理分配概率来定义,因而易于解释。我们的结果可用于评估在基准条件独立性假设下所得实证结论的稳健性。
Abstract
Conditional independence of treatment assignment from potential outcomes is a commonly used but nonrefutable assumption.We derive identified sets for various treatment effect parameters under nonparametric deviations from this conditional independence assumption.These deviations are defined via a conditional treatment assignment probability, which makes it straightforward to interpret.Our results can be used to assess the robustness of empirical conclusions obtained under the baseline conditional independence assumption.