Microeconometrics Lecture & Tutorial (BSc)

The course covers econometric regression methods for analyzing discrete (e.g. binary or multinomial) individual level data.

Predictive Modeling Lecture & Tutorial (MSc)

The course presents methods for making and evaluating predictions in various situations (e.g. predictions of the conditional mean, a conditional quantile or the conditional distribution).

Seminar (BSc/MSc)

Applied Econometrics Lecture & Tutorial (MSc)

This course presents econometric methods for causal inference using either experimental data or observational data.

Probabilistic Time Series Forecasting Challenge Course project (MSc)

Course on real time forecasting, involving weekly forecast submissions in the form of quantiles.

Seminar (BSc/MSc)

• Statistics I, Summer 2023 and 2025

• Statistics II, Winter 2023/24

• Applied Econometrics (Lecture and Tutorial), since Winter 2019/20

• Microeconometrics (Lecture and Tutorial), Winter 2022/23 and Summer 2024

• Predictive Modeling (Lecture and Tutorial), since Summer 2020

• Probabilistic Time Series Forecasting Challenge (Project seminar; with J. Bracher, N. Koster and S. Lerch), since Winter 2021/22

• VWL III (Lecture), Summer 2022

• Multiple econometrics seminars (with M. Schienle, R. Buse, and L. Rüter and others)