Improving Causal Inference with Time-Series Cross-Sectional Data Using Counterfactual Estimators

• In Event: JSS SESSION: Advances in Causal Inference and Applications

Brief Overview

We introduce a group of estimators that estimate treatment effects and develop a Wald test and a placebo test to gauge the validity of the identifying assumptions in time-series cross-sectional (TSCS) setting

Authors

• Ye Wang, New York University

• Yiqing Xu, Stanford University