Master

Überblick

Climate Finance (Klimafinanzierung) spielt eine entscheidende Rolle bei der Bewältigung der globalen Herausforderung des Klimawandels. In Anbetracht steigender Temperaturen, zunehmender Extremwetterereignisse und anderer ökologischer Risiken sind finanzielle Ressourcen von entscheidender Bedeutung, um Maßnahmen zur Emissionsminderung, zur Anpassung an die Auswirkungen des Klimawandels und zur Förderung nachhaltiger Technologien zu unterstützen. Klimafinanzierung umfasst öffentliche, private und internationale Gelder, die gezielt für klimabezogene Projekte und Programme bereitgestellt werden. Die Schaffung geeigneter Finanzierungsinstrumente und -mechanismen ist von entscheidender Bedeutung, um sicherzustellen, dass ausreichende Mittel mobilisiert werden, um die negativen Auswirkungen des Klimawandels zu adressieren. Dieses Seminar beschäftigit sich mit diversen ökonomischen Aspekten von Climate Finance.

Seminarbeschreibung

Informationen zu den Seminararbeitsthemen, zur Anmeldung und zu Organisation finden Sie in der Seminarbeschreibung. 

Überblick

Statistical Learning (SL) combines the fields of Econometrics and Data Science in a manner that yields new and deep insights into data, allows for more precise predictions and takes the statistical properties of explanatory variables into account. Thus, SL methods can be applied in numerous scientific topics among others economic forecasting, individual level marketing campaigns or estimation of heterogeneous treatment effects of drugs. Students that are willing to attend this course must have basic knowledge on statistics, programming in Python or R as well as economic theory.

The focus of the course will be the application to financial and economic data analysis. The theory part will take place in the first half of the course and will cover the most relevant Statistical Learning methods in economics. The application part of the course will then follow in the format of programming exercises, where students will train their practical skills and apply Statistical Learning methods to economic and financial datasets. At the end of the course, students will conduct their own Statistical Learning analysis and prepare a term paper based on this analysis.

Seminarbeschreibung

Informationen zu den Seminararbeitsthemen, zur Anmeldung und zu Organisation finden Sie in der Seminarbeschreibung. 

Überblick

This seminar explores mechanisms through which culture forms, persists, and changes. Topics are based on the working paper of Fernández (2025), which brings forth a framework to understand how environments, historical shocks, and information flows interact with socio-economic incentives to shape cultural beliefs and social norms. Within this framework, students will review empirical and experimental economics research on important drivers of both long-term and contemporaneous culture changes. In addition to providing the subject knowledge, the seminar aims to encourage and train students to conduct independent economics research through evaluation of scientific articles, original data analysis, and presentation of findings.

Seminarbeschreibung

Informationen zu den Seminararbeitsthemen, zur Anmeldung und zu Organisation finden Sie in der Seminarbeschreibung.