I am currently teaching the following courses
Fall semesters
Programming for Data Scientists I: this bachelor's course teaches you how to program in R and use R for effective data analysis.
Econometrics II provides master's students with a solid understanding of the theoretical foundations behind commonly used inference techniques in economics.
Time Series Analysis II: This advanced master's course introduces modern time series econometrics, covering both univariate and multivariate processes.
Spring semesters
Causal Analysis: In this master's course, we study econometric methods for identifying and estimating causal effects..
Workshop in Econometrics II: In this master's seminar, the students will carry out an econometric research project, write a short paper, present the results, and to provide critical feedback on another research project.
In addition, with Costanza Naguib, we offer a PhD reading group in econometrics each semester.
I supervise bachelor's and master's theses in theoretical and applied econometrics and related topics such as programming. Please contact me if you want to write a thesis under my supervision.
In the past, I taught the following courses:
A short master's course at the DIW in April 2014 about distributional treatment effects.
A short PhD course at the University of Chicago in June 2024 about Quantile Treatment Effects.