activity
20242026
collaborators

8 papers

stat.ME2026

Randomization Tests in Randomized Saturation Designs

Jizhou Liu, Azeem M. Shaikh, Liang Zhong

Randomized saturation designs are widely used to study spillover effects in clustered populations. In these designs, clusters are first assigned to treatment saturation levels, and…

stat.ME2026

Randomization Inference in Two-Sided Market Experiments

Jizhou Liu, Azeem M. Shaikh, Panos Toulis

Randomized experiments are increasingly employed in two-sided markets, such as buyer--seller platforms, to evaluate the effects of marketplace interventions. These experiments must…

econ.EM2026

On the Efficiency of Highly Stratified Experiments

Yuehao Bai, Jizhou Liu, Azeem M. Shaikh +1

This paper studies the use of highly stratified designs for the efficient estimation of a large class of treatment effect parameters that arise in the analysis of experiments. By a…

stat.ME2026

Randomization Tests in Switchback Experiments

Jizhou Liu, Liang Zhong

Switchback experiments--alternating treatment and control over time--are widely used when unit-level randomization is infeasible, outcomes are aggregated, or user interference is u…

econ.EM2026

Inference for Two-stage Experiments under Covariate-Adaptive Randomization

Jizhou Liu

This paper studies inference in two-stage randomized experiments under covariate-adaptive randomization. In the initial stage of this experimental design, clusters (e.g., household…

stat.ME2025

Auto-Doubly Robust Estimation of Causal Effects on a Network

Jizhou Liu, Dake Zhang, Eric J. Tchetgen Tchetgen

This paper develops new methods for causal inference in observational studies on a single large network of interconnected units, addressing two key challenges: long-range dependenc…