Event details

This workshop offers a hands-on introduction to conducting basic and dynamic Difference-in-Differences (DiD) analyses using R. Participants will learn how to apply both traditional DiD methods and dynamic (event study) specifications to assess policy effects over time. The session will use example datasets and provide code to demonstrate the step-by-step procedures for implementing basic and dynamic DiD in R. The workshop is designed for researchers and students interested in policy evaluation and causal inference.