7 papers
Graph-Laplacian Variance Estimators for Finely Stratified Experiments
Yuehao Bai, Xun Huang, Joseph P. Romano +2
This paper considers design-based inference on the average treatment effect in finely stratified experiments, where uncertainty arises only from the randomized treatment assignment…
Inference for Linear Systems with Unknown Coefficients
Yuehao Bai, Kirill Ponomarev, Andres Santos +3
This paper considers the problem of testing whether there exists a solution satisfying certain non-negativity constraints to a linear system of equations. Importantly and in contra…
Reasonable uncertainty: Confidence intervals in empirical Bayes discrimination detection
Jiaying Gu, Nikolaos Ignatiadis, Azeem M. Shaikh
We revisit empirical Bayes discrimination detection, focusing on uncertainty arising from both partial identification and sampling variability. While prior work has mostly focused…
A New Design-Based Variance Estimator for Finely Stratified Experiments
Yuehao Bai, Xun Huang, Joseph P. Romano +2
This paper considers the problem of design-based inference for the average treatment effect in finely stratified experiments. Here, by "design-based'' we mean that the only source…
Inference for Treatment Effects Conditional on Generalized Principal Strata using Instrumental Variables
Yuehao Bai, Shunzhuang Huang, Sarah Moon +3
We propose a general approach to inference for a broad class of models that arise in the analysis of treatment effects with discrete-valued treatments and instruments and a general…
On the Identifying Power of Generalized Monotonicity for Average Treatment Effects
Yuehao Bai, Shunzhuang Huang, Sarah Moon +2
In the context of a binary outcome, treatment, and instrument, Balke and Pearl (1993, 1997) es- tablish that the monotonicity condition of Imbens and Angrist (1994) has no identify…
A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances
Yuehao Bai, Azeem M. Shaikh, Max Tabord-Meehan
The past two decades have witnessed a surge of new research in the analysis of randomized experiments. The emergence of this literature may seem surprising given the widespread use…