257 citations · 344 across the 21 of their papers we have counts for
6 papers · 1 filter
Randomization-based confidence sets for the local average treatment effect
P. M. Aronow, Haoge Chang, Patrick Lopatto
We consider the problem of generating confidence sets in randomized experiments with noncompliance. We show that a refinement of a randomization-based procedure proposed by Imbens…
Average treatment effects in the presence of unknown interference
Fredrik Sävje, Peter M. Aronow, Michael G. Hudgens
We investigate large-sample properties of treatment effect estimators under unknown interference in randomized experiments. The inferential target is a generalization of the averag…
Local average causal effects and superefficiency
Peter M. Aronow
Recent approaches in causal inference have proposed estimating average causal effects that are local to some subpopulation, often for reasons of efficiency. These inferential targe…
Confidence intervals for means under constrained dependence
Peter M. Aronow, Forrest W. Crawford, José R. Zubizarreta
We develop a general framework for conducting inference on the mean of dependent random variables given constraints on their dependency graph. We establish the consistency of an or…
Sharp bounds on the variance in randomized experiments
Peter M. Aronow, Donald P. Green, Donald K. K. Lee
We propose a consistent estimator of sharp bounds on the variance of the difference-in-means estimator in completely randomized experiments. Generalizing Robins [Stat. Med. 7 (1988…
Estimating Average Causal Effects Under General Interference, with Application to a Social Network Experiment
Peter M. Aronow, Cyrus Samii
This paper presents a randomization-based framework for estimating causal effects under interference between units, motivated by challenges that arise in analyzing experiments on s…