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] Funded Proposal and Invited Submission to JPE Macro.

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

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

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

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

  6. 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]

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

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