Working Papers

Working Papers

• 1. Kübler, F., Scheidegger, S., Surbeck, O. (2025). "Using Machine Learning to Compute Constrained  Optimal Carbon Tax Rules". [Podcast on the paper by NotebookLM][ArXiV link] 

  2. Mlikota, M., Schorfheide, F., Scheidegger, S. (2025). "Sequential ABCs to Estimate Nonlinear DSGEs".

  3. Eftekhari, A., Juillard, M., Rion, N., Scheidegger, S. (2025). "Scalable Global Solution Techniques for High-Dimensional Models in Dynare". [ArXiV link]

  4. Chen., H., G. Gambarotta, Scheidegger, S., Xu, Y. (2025). "A Dynamic Model of Private Asset Allocation". [ArXiV link][Podcast on the paper by NotebookLM]

  5. Renner, P., Scheidegger, S. (2020). “Machine learning for dynamic incentive problems”.  [Code] [ Revise and resubmit, Review of Economic Studies]

  6. Friedl, A., Kübler, F., Scheidegger, S., Usui, T. (2021). "Deep Uncertainty Quantification: With an Application to Integrated Assessment Models".

  7. Nuno, G., Renner, P., Scheidegger, S. (2024). "Monetary Policy with Persistent Supply Shocks". [SUERF Policy Brief][Podcast on the paper by NotebookLM]

  8. Gaegauf, L.,  Scheidegger, S., Trojani, F. (2023). "A comprehensive machine learning framework for dynamic portfolio choice with transaction costs". [Podcast on the paper by NotebookLM]

  9. Bretscher, L., Fernandez-Villaverde, J., Scheidegger, S. (2021). "Ricardian Business Cycles"

  10. Didisheim, A., Karyampas, D., Scheidegger, S. (2020). "Deep Replication."