Free
1 Hour
Online
This webinar introduces the basic concepts of causal inference, including counterfactuals and potential outcomes. We will demonstrate how to use Stata's teffects suite of commands to fit causal models using propensity-score matching, inverse-probability weighting, regression adjustment, “doubly robust” estimators, and nearest-neighbor matching.
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.
The webinar is free, but you must register to attend. Registrations are limited so register soon. We will send you an email prior to the start with instructions on how to access the webinar.
