6 citations · 7 across the 9 of their papers we have counts for
4 papers · 1 filter
Non-parametric Causal Inference in Dynamic Thresholding Designs
Aditya Ghosh, Stefan Wager
We consider causal inference in dynamic settings where treatment is assigned by thresholding a state variable that can change over time. There is a large literature on regression-d…
Optimal Targeting in Dynamic Systems
Yuchen Hu, Shuangning Li, Stefan Wager
Modern treatment targeting methods often rely on estimating a conditional average treatment effect (CATE) using machine learning tools. While effective in identifying who benefits…
Admissibility of Completely Randomized Trials: A Large-Deviation Approach
Guido Imbens, Chao Qin, Stefan Wager
When an experimenter has the option of running an adaptive trial, is it admissible to ignore this option and run a non-adaptive trial instead? We provide a negative answer to this…
PLRD: Partially Linear Regression Discontinuity Inference
Aditya Ghosh, Guido Imbens, Stefan Wager
Regression discontinuity designs have become one of the most popular research designs in empirical economics. We argue, however, that the widely used approaches to building confide…