63 citations · 63 across the 2 of their papers we have counts for
2 papers
stat.ME2026
Bayesian Propensity Score-Augmented Latent Factor Models for Causal Inference with Time-Series Cross-Sectional Data
Licheng Liu
We propose a Bayesian propensity score-augmented latent factor model for causal inference with time-series cross-sectional data. The framework explicitly models the treatment assig…
stat.ME2021★ 63 cited
A Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional Data
Licheng Liu, Ye Wang, Yiqing Xu
This paper introduces a simple framework of counterfactual estimation for causal inference with time-series cross-sectional data, in which we estimate the average treatment effect…