etregress

Stata etregress - Linear regression with endogenous treatment effects. etregress estimates an average treatment effect (ATE) and the other parameters of a linear regression model augmented with an endogenous binary-treatment variable. Estimation is by full maximum likelihood, a two-step consistent estimator, or a control-function estimator. In addition to the ATE, etregress can be used to estimate the average treatment effect on the treated (ATET) when the outcome may not be conditionally independent of the treatment.

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References in zbMATH (referenced in 1 article )

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  1. Mikhail Zhelonkin, Elvezio Ronchetti: Robust Analysis of Sample Selection Models through the R Package ssmrob (2021) not zbMATH