The Variance of Non-Parametric Treatment Effect Estimators in the Presence of Clustering
针对聚类数据中非参数处理效应估计量的方差估计问题，提出一种通用方法，可一致估计包括简单匹配估计量在内的方差，并提供Stata软件实现。
Nonparametric estimators of treatment effects are often applied in settings where clustering may be important. We provide a general methodology for consistently estimating the variance of a large class of nonparametric estimators, including the simple matching estimator, in the presence of clustering. Software for implementing our variance estimator is available in Stata.