Design-Based Variance Estimation for Modern Heterogeneity-Robust Difference-in-Differences Estimators
现代异质性稳健双重差分估计量的基于设计方差估计
Modern heterogeneity-robust difference-in-differences estimators derive their asymptotic properties under iid, cluster, or fixed-design frameworks that abstract from complex survey sampling, yet practitioners routinely apply them to nationally representative surveys with stratified cluster designs. We show that, under standard regularity conditions, the influence functions of each smooth IF-based or regression-based modern DiD estimator satisfy Binder's (1983) smoothness…