Presenter: Matthew Hauenstein
This workshop will provide an introduction to causal inference methods with a focus on applications in R. We will cover the potential outcomes framework, as well as specific designs including randomized experiments, synthetic control, regression discontinuity, difference-in-differences, and matching. Some familiarity with R is assumed and some background in econometrics is helpful but not required. No prior experience with causal inference approaches is necessary.
This workshop will be offered in-person in Hesburgh Library. There is a limit of 15 participants for this workshop. Register now!
