3 papers
stat.ME2026
Analyzing Within-Subject Experiments: Identification, Testing, and Sensitivity
Shiyao Liu, Junni L. Zhang
Recent work encourages political scientists to move from post-only toward within-subject designs for improved precision from repeated measurements. We formalize a potential-outcome…
stat.ME2023
Inference of Sample Complier Average Causal Effects in Completely Randomized Experiments
Zhen Zhong, Per Johansson, Junni L. Zhang
In randomized experiments with non-compliance scholars have argued that the complier average causal effect (CACE) ought to be the main causal estimand. The literature on inference…
stat.ME2023
Inference of Sample Complier Average Causal Effects under Experiments with Completely Randomized Design and Computer Assisted Balance-Improving Designs
Zhen Zhong, Per Johansson, Junni L. Zhang
Non-compliance is common in real world experiments. We focus on inference about the sample complier average causal effect, that is, the average treatment effect for experimental un…