Lehre
Lehrveranstaltungen im Wintersememster 2024/25:
- VWL in Aktion (Bachelor)
- Makroökonomik I (Bachelor)
- Seminar on Monetary Economics (Bachelor)
- Recent Topics in Empirical Macro-Finance (Bachelor)
- Financial Markets and the Macroeconomy (Master)
Lehrveranstaltungen in vergangenen Semestern:
Bachelor:
- VWL in Aktion (Winter 2020/21- 23/24 & Sommer 2021- 2023)
- Geldtheorie und Geldpolitik (Winter 2022/23 & Sommer 2020, 2021 & 2022)
- Makroökonomik I (Winter 2020/21 & Winter 23/24)
- Makroökonomik II (Sommer 2020 & 2022)
- Mikroökonomik I (Sommer 2015, Winter 2016/17)
- Mikroökonomik II (Winter 2015/16, Sommer 2017)
- Internationale Finanzmärkte (Winter 2014/15 & 2017/18 - 2022/23, Sommer 2016)
- Grundlagen der Internationalen Wirtschaftsbeziehungen (Winter 2019/20 - 2023/24 & Sommer 2021)
- The Economics of the European Monetary Union (Winter 2020/21)
- Seminar on Monetary Economics (Winter 2020/21 & Winter 2023/24)
- Seminar in International Financial Markets (Winter 2016/17 & 2017/18, Sommer 2017 – 2021)
- Seminar Topics in International Finance (Winter 2015/16)
- Seminar in Empirical Trade (Sommer 2017 & 2018, Winter 2017/18)
- Seminar on European Integration (Sommer 2018)
- Empirical Macroeconomics (Summer 2022)
Master:
- Financial Econometrics (Winter 2014/15, Sommer 2016 & 2017, Sommer 2019)
- Monetary Economics (Sommer 2020 &2021 &2022, Winter 2020/21-22/23)
- Reale Außenwirtschaft (Winter 2015/16)
- International Trade (Sommer 2015–2018, Winter 2016/17 – 2018/19)
- Seminar in Financial Econometrics (Winter 2015/16 – 2017/18, Sommer 2020)
- Seminar The Global Business Cycle (Sommer 2015)
- Seminar Financial Markets and the Macroeconomy (Winter 2014/15 & 2019/20 & 2020/21)
- Seminar Business Cycles in Developing Countries (Sommer 2016–2019)
- Macroeconometrics (Sommer 2021)
- Natural Language Processing in Macroeconomics (Seminar) (Winter 2022/23, Sommer 2024)
- Applied Macroeconomics with Python (Seminar) (Winter 2023/24)
Doktorand*innen:
- Time-series analysis by State-Space methods. Classical and Bayesian Approaches (Sommer 2016 & 2017 & 2019, Winter 2020/21)