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In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.

A 4-Day Remote Seminar Taught by Pedro H. C. Sant’Anna, Ph.D.

Difference-in-Differences (DiD) methods are widely used in the estimation of causal effects of policy interventions in the social and medical sciences. At their core, DiD methods leverage the fact that units are exposed to treatment at different points in time (or never exposed). Consequently, researchers can recover an average treatment effect by comparing outcomes from different treatment cohorts, before and after they have been exposed to treatment. A major advantage of using the DiD framework is that we can account for time trends and (time-invariant) unobserved heterogeneity when recovering causal effects.

This seminar offers a thorough introduction to classical and modern Difference-in-Difference methods. The main goal of this seminar is to enable researchers to get closer to the DiD research frontier.

We will cover the theory and practice of DiD methods in great detail including topics such as:

• The canonical two-periods, two-groups DiD
• The role of covariates in DiD setups
• DiD with variation in treatment timing
• Design-based inference in DiD settings
• DiD with violations of the parallel trends

At the end of the seminar, we expect that you should be comfortable and confident in using DiD methods to tackle your own research questions.