30229

WiSe 23/24: Statistical Panel Models: Recent Developments in Difference-in-Differences and Fixed-Effects

Céline Teney

Kommentar

This course provides a gentle introduction to difference-in-differences (DiD) analysis, including various extensions and recent developments. DiD is a straightforward research design that involves comparing the same units over time, along with a suitable control group, to estimate causal effects. It is widely used in the social sciences to uncover causal relationships.

However, in recent years, researchers have critiqued previous methods of estimating DiD effects and have contributed conceptually to our understanding of DiD analysis. This course aims to introduce the fundamentals of DiD, its basic assumptions, and its recent extensions. It will establish the connection between the DiD research design and fixed-effects estimation. In addition to understanding major concepts, we will engage in hands-on data exercises and replicate previous research findings with new techniques. By the end of this course, students will have a solid understanding of DiD and its applications in contemporary research settings. Schließen

Zusätzliche Termine

Do, 19.10.2023 10:00 - 15:00