ATbounds is an R package that providesestimation and inference methods for bounding average treatment effects(on the treated) that are valid under an unconfoundedness assumption.The bounds are designed to be robust in challenging situations, forexample, when the the conditioning variables take on a large number ofdifferent values in the observed sample, or when the overlap conditionis violated. This robustness is achieved by only using limited “pooling”of information across observations.
For more details, see Lee and Weidner (2021), “Bounding TreatmentEffects by Pooling Limited Information across Observations,” availableatarXiv:2111.05243[econ.EM].
You can install the development version fromGitHub with:
# install.packages("devtools") if devtools is not installeddevtools::install_github("https://github.com/ATbounds/ATbounds-r")See the vignette for case studies using real datasets.