In this article, we revise the estimation of the dose–response function described in Hirano and Imbens (2004, Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives, 73–84) by proposing a flexible way to estimate the generalized propensity score when the treatment...

Reweighting is a popular statistical technique to deal with inference in the presence of a nonrandom sample, and various reweighting estimators have been proposed in the literature. This article presents the user-written command treatrew, which implements reweighting on the propensity-score...

In this article, I present ivtreatreg, a command for fitting four different binary treatment models with and without heterogeneous average treatment effects under selection-on-unobservables (that is, treatment endogeneity). Depending on the model specified by the user, ivtreatreg provides...