Statistics 1 Lecture (BSc)

For more information, please refer to the website of the courses Statistics 1 and 2.

Seminar (BSc/MSc)

Statistics 2 Lecture (BSc)

For more information, please refer to the website of the courses Statistics 1 and 2.

Applied Econometrics Lecture & Tutorial (MSc)

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

Seminar (BSc/MSc)

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)

• Statistics I, Summer 2023

• 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)