Difference in Differences - Online Course

A 4-Day Livestream Seminar Taught by


This course covers the statistical foundations and practical aspects of difference-in-differences (DiD) models. DiD models are one of the most popular tools for causal inference and policy evaluation in non-experimental settings. The main idea behind them is to compare the evolution over time of the outcome of a group of units (such as individuals, households, counties, firms, etc.) that are exposed to some intervention with the evolution of the outcomes of a group of units that are unaffected by the intervention. Under certain assumptions, DiD models allow the researcher to learn about the causal effect of the intervention by flexibly controlling for unobserved heterogeneity and common time trends. The use of DiD models is widespread in economics, political science, education, sociology, health sciences, environmental sciences, and many other areas.

After a brief review of panel data methods, we will introduce the potential outcomes framework to rigorously define causal effects and to study classical results and recent advances in identification, estimation, and statistical inference for DiD models.

Starting July 16, we are offering this seminar as a 4-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.

*We understand that finding time to participate in livestream courses can be difficult. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously. 

Closed captioning is available for all live and recorded sessions. Live captions can be translated to a variety of languages including Spanish, Korean, and Italian. For more information, click here.

Starts:  Jul 16, 2024 11:00 AM (ET)
Ends:  Jul 19, 2024 03:30 PM (ET)