CV

Contact

• Email: yannik.winkelmann@gmail.com
• GitHub: github.com/YanWin
• Location: Tübingen, Germany

Education

• Ph.D. in Economics, University of Tübingen, 05/2023-present
  • Research fields: macroeconomics, heterogeneous agents, computational and non-linear methods
  • Supervisor: Ralph Luetticke
• M.Sc. in Economics, University of Copenhagen, 09/2020-04/2023
  • GPA: 11.6/12
  • Thesis: Household Inattention and Fiscal Policy
• Fundamental courses in Mathematics, University of Cologne, 10/2019-08/2020
• B.Sc. in Economics and Social Sciences, University of Cologne, 10/2015-02/2019
  • GPA: 1.3
  • Thesis: Macroprudential Regulation and Financial Crises

Work experience

• 06/2019-09/2019: Intern, Risk Analysis and Stress-Testing
  • Deutsche Bundesbank
• 03/2019-05/2019: Intern, Financial Markets
  • Macroeconomic Policy Institute
• 07/2017-09/2018: Student Assistant
  • University of Cologne

Publications

An Endogenous Gridpoint Method for Distributional Dynamics

Bayer, C., Luetticke, R., Weiss, M., and Winkelmann, Y. (2026). "An Endogenous Gridpoint Method for Distributional Dynamics." Journal of Monetary Economics.

Inflation and Price Flexibility

Winkelmann, Y., Petrella, I., and Santoro, E. (2025). "Inflation and Price Flexibility." European Economic Review.

Working papers

Work in progress

The Marginal Consumption Reaction to Uncertainty

Winkelmann, Y. "The Marginal Consumption Reaction to Uncertainty." Work in progress.

Teaching

BASEforHANK Winter School

A Toolkit for Writing a Bachelor’s Thesis in Macroeconomics

Introduction to Economics

Macroeconomics III

Advanced Module Statistics and Basic Module Statistics

Presentations

• Graduate Workshop on Heterogeneous Agent Macroeconomics, Tübingen, 2025
• Macro Brown Bag, Tübingen, 2024 and 2023

Service, training, and scholarships

• Doctoral Students Council, University of Tübingen
• Economics Department Advisory Board, University of Tübingen
• CFM-LSE Numerical Summer School
• Barcelona GSE Bayesian Time Series Methods I Summer School
• DAAD scholarship, 2021 and 2022

Skills

• Programming: Julia, R, Python, MATLAB, SQL, Dynare
• Applications: LaTeX, Microsoft Office
• Languages: German (native), English (full professional proficiency), Spanish (beginner)