Event details
Oct
21
Hands-On Policy Analysis with R: Difference-in-Differences and Event Study Methods
This workshop provides practical training in conducting difference-in-differences (DiD) analyses using R for policy evaluation. Participants will learn to implement both classical two-period DiD models and modern event study designs to assess policy effects over time. Using example datasets and step-by-step R code, the session will cover basic DiD estimation, visualization of event study dynamics, and key diagnostic checks, including assessment of parallel trends. The workshop is designed for students and researchers interested in causal inference and policy evaluation. Basic familiarity with R and regression analysis is recommended.
University programs and activities are open to all eligible participants without regard to identity or other protected characteristics. Sponsorship of an event does not constitute institutional endorsement of external speakers or views presented.
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