A Practical Guide to Counterfactual Estimators for Causal Inference with Time‐Series Cross‐Sectional Data L Liu, Y Wang, Y Xu American Journal of Political Science, 2022 | 250 | 2022 |
A Bayesian alternative to synthetic control for comparative case studies X Pang, L Liu, Y Xu Political Analysis 30 (2), 269-288, 2022 | 48 | 2022 |
gsynth: Generalized synthetic control method Y Xu, L Liu R package version 1 (9), 2018 | 36 | 2018 |
INTERFLEX: Stata module to estimate multiplicative interaction models with diagnostics and visualization Y Xu, J Hainmueller, J Mummolo, L Liu Boston College Department of Economics, 2017 | 22 | 2017 |
Package ‘gsynth’ Y Xu, L Liu, MY Xu | 6 | 2021 |
Panel Data Visualization in R (panelView) and Stata (panelview) H Mou, L Liu, Y Xu Journal of Statistical Software 107, 1-20, 2023 | 4 | 2023 |
panelView: Panel Data Visualization in R and Stata H Mou, L Liu, Y Xu Available at SSRN 4202154, 2022 | 2 | 2022 |
Bayesian Predictive Synthesis For Causal Inference With TSCS Data: A Multilevel State-Space Factor Model With Hierarchical Shrinkage Priors X Pang, L Liu, Y Xu | 1 | 2019 |
Package ‘fect’ L Liu, Z Liu, Y Wang, Y Xu | | 2022 |
Package ‘panelView’ H Mou, L Liu, Y Xu | | 2022 |
A Bayesian multifactor spatio-temporal model for estimating time-varying network interdependence L Liu, X Pang Political Science Research and Methods, 1-15, 2022 | | 2022 |
A Bayesian Multifactor Spatio-Temporal Model for Estimating Time-Varying Network Interdependence X Pang, L Liu Available at SSRN 3792628, 2021 | | 2021 |