Description:
Causal inference has become the predominant toolbox in empirical research. The aim of this course is to provide participants with a deeper understanding of microeconometric methods that allow to draw causal inference in many settings and discuss the most-recent advances. The course will have a block-structure where we first discuss causality based on the potential outcome framework. After a brief discussion of experimental methods, we will introduce different popular quasi-experimental methods such as matching, difference-in-differences, instrumental variables or regression discontinuity. We will discuss the identifying assumptions and the pros and cons of each method based on empirical examples. The lecture will also be complemented by practical computer sessions where the estimators will be implemented in STATA.
Topics:
Literature:
Paper-based. For an introduction, see Imbens G, Wooldridge J. (2009): Recent Developments in the Econometrics of Program Evaluation. Journal of Economic Literature, 2009;47(1):5-86.
Lecturers:
Marco Caliendo, Katrin Huber
Time & venue:
Mondays, 11:00-12:00; online or at Campus Griebnitzsee, depending on COVID situation
Tuesdays, 10:00-11:45; online or at Campus Griebnitzsee, depending on COVID situation
Fridays, 10:00-11:45; online or at Campus Griebnitzsee, depending on COVID situation
For details, please see schedule.
Exam:
Oral presentations
Written exam (90 min) and term paper; all parts have to be passed in order to pass the course.
Registration:
Please register by April 8 via huber@empwifo.uni-potsdam.de.
Updated course information will be available by end of March under https://www.uni-potsdam.de/de/empwifo/studium-lehre/aktuelles-semester.html.
