Publications

Inference in Cluster Randomized Trials with Matched Pairs (with Yuehao Bai, Azeem Shaikh and Max Tabord-Meehan), Journal of Econometrics 245(1), 105873. (2024)

Inference for Matched Tuples and Fully Blocked Factorial Designs (with Yuehao Bai and Max TabordMeehan), Quantitative Economics 15(2), 279–330. (2024)

Revisiting the Analysis of Matched Pair and Stratified Experimental Designs in the Presence of Attrition (with Yuehao Bai, Meng Hsuan Hsieh, and Max Tabord-Meehan), Journal of Applied Econometrics 39(2), 256–268. (2024)

Proximal Causal Inference for Synthetic Control with Surrogates (with Eric J. Tchetgen Tchetgen and Carlos Varjão), The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024

Learning Intuitive Policies Using Action Features (with Mingwei Ma, Samuel Sokota, Max KleimanWeiner, Jakob Foerster), International Conference on Machine Learning (ICML), 2023

Working Papers

Auto-Doubly Robust Estimation of Causal Effects on a Network (with Dake Zhang and Eric J. Tchetgen Tchetgen)

Inference for Two-stage Experiments under Covariate-Adaptive Randomization, revision requested at Journal of Econometrics

Efficient Treatment Effect Estimation in Observational Studies under Heterogeneous Partial Interference (with Zhaonan Qu, Ruoxuan Xiong and Guido Imbens), revision requested at Journal of Business & Economic Statistics

On the Efficiency of Finely Stratified Experiments (with Yuehao Bai, Azeem Shaikh and Max TabordMeehan) , revision requested at Annals of Statistics

Randomization Inference for Two-Sided Market Experiments (with Azeem Shaikh and Panos Toulis)