Causal inference using Stata: Estimating average treatment effects

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Causal inference using Stata: Estimating average treatment effects

Description

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.

Price: $1,395

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

Course leader

Meghan Cain is a Senior Statistician at StataCorp. She earned her PhD in quantitative psychology from the University of Notre Dame, where her research focused on structural equation modeling, multilevel modeling, and Bayesian statistics. At Stata, she develops and presents training on these and other topics. She also conducts webinars, works with developers to produce Stata documentation, and contributes to Stata blogs.

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

Prerequisites

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

Next session

Currently, there are no scheduled sessions of this course.

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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 and a half hours each day. 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. Learn more about how our web-based training courses work, watch a video demonstration, and find technical requirements for participating in this type of training.