This course is designed for researchers with no prior knowledge of Differences-in-Differences (DiD) or Synthetic Control methodologies. By the end of the course, participants will have the necessary tools to apply these mesthodologies in their own research. If you are interested, feel free to contact me.
Course Syllabus:
The Canonical 2x2 DiD Design and Its Practical Applications
Introduction to the basic Difference-in-Differences framework and how it can be applied to real-world data.
Extension to Two-Way Fixed Effects (TWFE) Models
Understanding the extension of DiD to two-way fixed effects models and recent critiques regarding heterogeneous treatment effects (de Chaisemartin & d’Haultfoeuille, 2020; Goodman-Bacon, 2021).
Difference-in-Differences with Multiple Groups and Time Periods
Exploring how to handle multiple groups and time periods in DiD models (Callaway & Sant’Anna, 2021).
Estimation Under Non-Absorbing or/and Non-Binary Treatments
Advanced methods for estimation in cases of non-absorbing or non-binary treatments (de Chaisemartin & d’Haultfoeuille, 2020; 2024).
Synthetic Controls and Synthetic DiD
Introduction to Synthetic Control Methods and their extension to Synthetic DiD (Abadie & Gardeazabal, 2003; Abadie, Diamond & Hainmueller, 2010; Arkhangelsky et al., 2021).