Working Papers

Working Papers

• Patents as Indicators of Product Innovation, Process Innovation, and Welfare Gains in the LCD Industry
  Igami, M., Kusaka, S., Scheidegger, S., Smirnova, A. (2026)
  PDF New
• Using Machine Learning to Compute Constrained Optimal Carbon Tax Rules
  Kübler, F., Scheidegger, S., Surbeck, O. (2025)
  Funded Proposal and Invited Submission to JPE Macro
  SSRN ArXiv Podcast
• Sequential ABCs to Estimate Nonlinear DSGEs
  Mlikota, M., Schorfheide, F., Scheidegger, S. (2025)
• A Dynamic Model of Private Asset Allocation
  Chen, H., Gambarotta, G., Scheidegger, S., Xu, Y. (2025)
  SSRN ArXiv Podcast
• Monetary Policy with Supply Regimes
  Nuno, G., Renner, P., Scheidegger, S. (2024)
  SSRN SUERF Brief Podcast
• A Comprehensive Machine Learning Framework for Dynamic Portfolio Choice with Transaction Costs
  Gaegauf, L., Scheidegger, S., Trojani, F. (2023)
  SSRN Podcast
• Deep Uncertainty Quantification: With an Application to Integrated Assessment Models
  Friedl, A., Kübler, F., Scheidegger, S., Usui, T. (2021)
  PDF
• Ricardian Business Cycles
  Bretscher, L., Fernandez-Villaverde, J., Scheidegger, S. (2021)
  SSRN
• Deep Replication
  Didisheim, A., Karyampas, D., Scheidegger, S. (2020)
  SSRN