Co-organized by Bernie Black (Northwestern) and Scott Cunningham (Baylor—econ), the 13th annual workshop on Research Design for Causal Inference will be held at Northwestern Law School in Chicago, IL.
Main Workshop: Monday – Friday, July 29--August 2, 2024; Advanced Workshop: Sunday -- Wednesday, August 4-7, 2024.
Main Workshop Topics/Faculty: Introduction to Modern Methods for Causal Inference: Donald B. Rubin (Harvard Univ.); Matching and Reweighting Designs for “Pure” Observational Studies (Brigham Frandsen, BYU); Panel Data and Difference-in-Differences (Yiqing Xu, Stanford); Instrumental variable methods (Eric French, Cambridge); and Regression Discontinuity (Gonzalo Vazquez-Bare, UC Santa Barbara).
Advanced Workshop Topics/Faculty: Primer on machine learning approaches to prediction and Applications of machine learning to causal inference (Christian Hansen, Chicago); Advanced Difference-in Differences (Andrew Goodman-Bacon, Federal Reserve Board); and Advanced Instrumental Variables (Peter Hull, Brown).
For further information and registration: (click here).
Comments