$1,395
4 days 
3–4 hours daily
Learn how to use Stata’s treatment-effects estimators to estimate the effect caused by getting one treatment instead of another in observational data. We will discuss how observational data differ from experimental data and use the potential-outcomes framework to obtain the average treatment effect and the average treatment effect on the treated using a variety of estimators, including those suitable for endogenously assigned treatment. We will cover the conceptual and theoretical underpinnings of treatment effects as well as many examples using Stata.
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Alvaro Fuentes Higuera
Senior Econometrician
Alvaro Fuentes Higuera is a Senior Econometrician at StataCorp LLC. His PhD research at the Leibniz Institute for Science and Mathematics Education in Kiel, Germany, focused on propensity-score methods for causal inference with multilevel data. At Stata, he produces documentation and other written materials and develops and presents trainings.
Treatment-effects estimators
Endogenous treatment effects within the potential-outcome framework
The double-robustness property of the augmented IPW and IPW regression-adjustment estimators
Using different functional forms for the outcome model and treatment model
Enrollment is limited.
Web-based training courses are four-day courses that run for three to four hours daily with hourly breaks. You will be provided with a temporary Stata license to install on your computer, a printed copy of the course notes, and all the course datasets so that you can easily follow along.
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