Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm
自然实验估计器的基准评测:新数据集与双重稳健算法
Estimating the effect of treatments from natural experiments, where treatments are pre-assigned, is an important and well-studied problem. We introduce a novel natural experiment dataset obtained from an early childhood literacy nonprofit. Surprisingly, applying over 20 established estimators to the dataset produces inconsistent results in evaluating the nonprofit's efficacy. To address this, we create a benchmark to evaluate estimator accuracy using synthetic outcomes,…