Causal inference using Stata: Estimating average treatment effects

$1,395 4 days (3 to 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.

← Back to all classroom and web training courses

Upcoming sessions

Currently, there are no scheduled sessions of this course.

We offer a 15% discount for group enrollments of three or more participants

All prices USD.

Inform me of the next session ↓

Course leader

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.

Prerequisite

A general familiarity with Stata and a graduate-level course in regression analysis or comparable experience.

Course topics

Treatment-effects estimators

Regression-adjustment estimator
Inverse-probability-weighting (IPW) estimator
Augmented IPW estimator
IPW regression-adjustment estimator
Nearest-neighbor matching estimator
Propensity-score matching estimator
Treatment-effects estimation using lasso
Difference-in-differences estimation

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

Notes

Enrollment is limited. This course is offered in both classroom and web-based settings.

Classroom training courses are two-day courses that run from 8:30 a.m. to 4:30 p.m. each day. These courses take place at a training center where computers with Stata installed are provided. A continental breakfast, lunch, and an afternoon snack will also be provided; the breakfast is available before the course begins.

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.

Classroom and web training FAQs →

Future sessions

Inform me when the next session is available.

Name*

Email address*

Country*

I would like to receive the following email alerts:

*Select all that apply

New releases of Stata
Free webinars on Stata
Classroom and web-based training courses
New books published by Stata Press
Stata Conferences
Stata Journal—Availability and table of contents
Select all

I agree to receive communications from StataCorp. I understand StataCorp will process my personal information in accordance with their Privacy Policy.

To ensure delivery of emails to your inbox, add [email protected] to your address book.

We use cookies

We use cookies to ensure that we give you the best experience on our website—to enhance site navigation, to analyze usage, and to assist in our marketing efforts. By continuing to use our site, you consent to the storing of cookies on your device and agree to delivery of content, including web fonts and JavaScript, from third party web services.

Cookie Settings

Last updated: 16 November 2022

StataCorp LLC (StataCorp) strives to provide our users with exceptional products and services. To do so, we must collect personal information from you. This information is necessary to conduct business with our existing and potential customers. We collect and use this information only where we may legally do so. This policy explains what personal information we collect, how we use it, and what rights you have to that information.

Advertising and performance cookies

This website uses cookies to provide you with a better user experience. A cookie is a small piece of data our website stores on a site visitor's hard drive and accesses each time you visit so we can improve your access to our site, better understand how you use our site, and serve you content that may be of interest to you. For instance, we store a cookie when you log in to our shopping cart so that we can maintain your shopping cart should you not complete checkout. These cookies do not directly store your personal information, but they do support the ability to uniquely identify your internet browser and device.

Please note: Clearing your browser cookies at any time will undo preferences saved here. The option selected here will apply only to the device you are currently using.