论文标题
部分干扰下网络处理效应的有效半参数估计
Efficient Semiparametric Estimation of Network Treatment Effects Under Partial Interference
论文作者
论文摘要
最近,已经提出了许多针对网络治疗效应的估计量。但是,它们在半参数效率方面的最佳性能尚未解决。我们提出了一个简单而灵活的渐近框架,以获得有效的影响函数和在部分干扰下的网络因果效应家族的半参数效率下限。我们结果的重要推论是Liu等人的现有估计器之一。 (2019年)在本地效率高。我们还提供了其他有效的估计器,并讨论了自适应估计的结果。我们通过使用有效的估计器来研究哥伦比亚有条件现金转移计划的直接和溢出效应来结束。
Recently, many estimators for network treatment effects have been proposed. But, their optimality properties in terms of semiparametric efficiency have yet to be resolved. We present a simple, yet flexible asymptotic framework to derive the efficient influence function and the semiparametric efficiency lower bound for a family of network causal effects under partial interference. An important corollary of our results is that one of the existing estimators by Liu et al. (2019) is locally efficient. We also present other estimators that are efficient and discuss results on adaptive estimation. We conclude by using the efficient estimators to study the direct and spillover effects of conditional cash transfer programs in Colombia.