Advanced Counterfactual Methods for Causal Inference with Panel Data (SPS-WS-CAU-HI-25)
SPS-WS-CAU-HI-25
| Department |
SPS |
| Course category |
SPS Workshop |
| Course type |
Workshop |
| Academic year |
2025-2026 |
| Term |
3RD TERM |
| Credits |
20 (EUI SPS Department) |
| Professors |
|
| Contact |
Shcherbatiuk, Olena
|
| Course materials |
| Sessions |
|
| Enrolment info |
01/03/2026 - 30/06/2026 |
Purpose
This 20-credit workshop provides an in-depth exploration of modern methods for causal inference in panel data settings. Starting from the potential outcomes framework and the canonical difference-in-differences (DiD) model, the course revisits core identification assumptions and discusses how they are commonly violated in applied research. We then survey recent methodological innovations that address these challenges, including staggered adoption designs, generalized DiD estimators, synthetic control methods, and hybrid approaches. Participants will gain both theoretical understanding and practical skills through hands-on applications in R using real datasets. Ample time will be devoted to developing participants’ own empirical projects, and we encourage collaborative work among participants.
The full syllabus will be available on the webpage: https://www.eui.eu/en/academic-units/political-and-social-sciences/seminars-and-teaching.
Register for this course
Page last updated on 05 September 2023