Identifying Unmeasured Confounders in Panel Causal Models: A Two-Stage LM-Wald Approach

• In Event: Advances in Causal Inference

Brief Overview

Introduces the Two-Stage LM-Wald (2SLW) test to detect unmeasured confounding in panel causal models, improving robustness of causal inference using RI-CLPM and implementable

Author

• Bang Quan Quan Zheng, University of Texas at Austin