In this workshop, we discuss methods for drawing causal inferences when analyzing observational rather than experimental data. We present a variety of estimators for average treatment effects (ATEs) and average treatment effects on the treated (ATETs) and discuss when each estimator is useful. Throughout the workshop, we cover the conceptual and theoretical underpinnings of treatment effects and demonstrate the methods with many practical examples worked using Stata software.

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Presenter: Enrique Pinzon
Enrique is the Associate Director of Econometrics at StataCorp. He is on the statistical development team at StataCorp, teaches a variety of Stata courses, and is a frequent contributor to the Stata blog. Pinzon holds a master's degree in economics from the Universidad de los Andes and a PhD from the University of Wisconsin–Madison.