Teaching

2026/2027

Dynamic Macroeconomics

Lectures · Karlsruhe Institute of Technology · WS 26/27

Advanced Macroeconomics 1

Exercises · Goethe University Frankfurt · WS 26/27

Macroeconomics and Artificial Intelligence

Seminar · Goethe University Frankfurt · WS 26/27

2025/2026

Dynamic Macroeconomics

Lectures · Karlsruhe Institute of Technology · WS 25/26

Seminar in Macroeconomics: Healthy Economy? Health Inequality and Insurance Policy

Seminar · Karlsruhe Institute of Technology · WS 25/26

Computational Macroeconomics

Lectures and exercises · Karlsruhe Institute of Technology · SS 26

Previous

Overlapping Generations Macro (Macro I)

PhD advanced course · TA to Prof. Russell Cooper · European University Institute · 2020/2021

Description

An EUI graduate level course in macroeconomics taught by Prof. Russell Cooper with a focus on overlapping generations models. The course covers the Gale, Diamond and Lucas two-island models and explores dynamic inefficiency, fiscal and monetary policy.

Complete Markets Macroeconomics (Macro I/II)

PhD advanced course · TA to Prof. Jesús Bueren · European University Institute · 2020/2021, 2021/2022, 2022/2023

Description

An EUI graduate level course in macroeconomics taught by Prof. Jesús Bueren with a focus on complete markets. The course covers the Arrow-Debreu, sequential and recursive equilibria, theorems of Dynamic Programming and applications to the neoclassical growth model.

Computations and Quantitative Models in Macroeconomics

PhD advanced course · TA to Prof. Alexander Monge-Naranjo · European University Institute · 2022/2023

Description

An EUI graduate level course in computational economics taught by Prof. Alexander Monge-Naranjo. The course covers a number of solution methods for a broad class of heterogeneous agent models: (1) efficient computation of policy functions with EGM, (2) computation of transition dynamics and impulse responses with extended paths and shooting algorithms, and (3) solution of models with aggregate fluctuations, locally using the method of sequence-space Jacobians and globally à la Krusell-Smith. It also covers the computation of discrete choice models with and without extreme-value shocks.