Causal inference (SPS-METRI-CAU-24)
SPS-METRI-CAU-24
| Department |
SPS |
| Course category |
SPS Research Seminar |
| Course type |
Seminar |
| Academic year |
2024-2025 |
| Term |
2ND TERM |
| Credits |
20 (EUI SPS Department) |
| Professors |
|
| Contact |
Altesini, Sofia
|
| Course materials |
| Sessions |
06/01/2025 11:00-13:00 @ Seminar Room 2, Badia Fiesolana
10/01/2025 13:00-15:00 @ Seminar Room 2, Badia Fiesolana
13/01/2025 11:00-13:00 @ Seminar Room 2, Badia Fiesolana
17/01/2025 13:00-15:00 @ Seminar Room 2, Badia Fiesolana
20/01/2025 11:00-13:00 @ Seminar Room 2, Badia Fiesolana
24/01/2025 13:00-15:00 @ Seminar Room 2, Badia Fiesolana
27/01/2025 11:00-13:00 @ Seminar Room 2, Badia Fiesolana
31/01/2025 13:00-15:00 @ Seminar Room 2, Badia Fiesolana
03/02/2025 11:00-13:00 @ Seminar Room 2, Badia Fiesolana
07/02/2025 13:00-15:00 @ Seminar Room 2, Badia Fiesolana
|
Purpose
This course provides an introduction to causal inference in the social sciences, equipping students with the skills to critique methods used in contemporary academic work and apply these methods in their research. It begins with an overview of causality in the social sciences, covering the potential outcomes framework and randomized experiments. The second part of the course delves into the most widely used approaches for drawing causal inferences from observational data, such as "selection on observables" (regression, matching, and subclassification), difference-in-differences, instrumental variables, and the regression discontinuity design. Students are expected to have a basic understanding of probability, statistics, and the R programming language.
Register for this course
Page last updated on 05 September 2023