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Workshop

Zurich Workshop on the Frontier of Quantitative Macroeconomics: Models and Methods 2026

Organized by Prof. Felix Kubler and Prof. Yucheng Yang and with Special Guest Prof. Tom Sargent, Nobel Prize Winner

The Workshop on the Frontier of Quantitative Macroeconomics: Models and Methods is organized by Prof. Felix Kübler and Prof. Yucheng Yang from the UZH Department of Finance.

Workshop Details:

  • Date: 19 - 20 May 2026 (Tuesday, Wednesday)
  • Location: University of Zurich, KO2-F-152, Karl-Schmid-Strasse 4, 8006 Zurich, Switzerland

Our department will host this workshop, highlighting new models and methods reshaping quantitative macroeconomics. Researchers will present work using modern computational and AI tools to address key economic and policy questions.

Program

Date: Tuesday, 19 May 2026
Time: 09:25 - 17:00

09:00 - 09:25

Arrival and Registration

09:25 - 09:30 Felix Kübler, University of Zurich
Welcome remarks

 

Session I
Chair: Felix Kübler, University of Zurich

09:30 - 10:30 Aleh Tsyvinski, Yale University
Dynamics of Constraint Enforcement and Consumption Responses
10:30 - 10:50 Coffee Break
10:50 - 11:50 Edouard Schaal, CREI
Strategic Trade Infrastructure: Understanding China's Belt and Road Initiative
11:50- 13:30 Lunch and Group Photo
  Special Session: Honoring Christopher A. Sims
Chair: Yucheng Yang, University of Zurich
13:30 - 14:30

Tom Sargent, New York University
How am I supposed to trade?

14:30 - 14:50

Coffee Break
14:50 - 15:50 Xiaohong Chen, Yale University
Neural Networks for Economics: Theory and Inference
15:50 - 16:10 Coffee Break

16:10 - 17:10

Tao Zha, Federal Reserve Bank of Atlanta
Algorithm-Driven SVARs in the Age of Big Data

19:00

Dinner (by invitation)

Date: Wednesday, 20 May 2026
Time: 09:30 - 17:00

 

Session III
Chair: Florian Scheuer, University of Zurich

09:30 - 10:30 Adrien Auclert, Stanford University
Beyond Certainty Equivalence: Higher-Order Perturbations in the Sequence Space
10:30 - 10:50 Coffee Break
10:50 - 11:50 Benjamin Moll, London School of Economics
Structural Reinforcement Learning for Heterogeneous Agent Macroeconomics
11:50 - 13:30 Lunch
  Session IV
Chair: Simon Scheidegger, HEC Lausanne
13:30 - 14:30 Anmol Bhandari, University of Minnesota
Optimal Household Financial Portfolios

14:30 - 14:50

Coffee Break
14:50 - 15:50 Jonathan Payne, Princeton University
The Fragility of Government Funding Advantage
15:50 - 16:10 Coffee Break

16:10 - 17:10

Marlon Azinovic-Yang, University of North Carolina at Chapel Hill
Deep Learning in the Sequence Space

19:00

Dinner (by invitation)
  • Group photo with all speakers and participants of the
    Group photo with all speakers and participants of the "Zurich Workshop on the Frontier of Quantitative Macroeconomics: Models and Methods 2026"
  • Special Guest: Tom Sargent, Professor of Economics, New York University, Senior Fellow, Hoover Institution, Stanford, CA and Nobel Prize Winner
    Special Guest: Tom Sargent, Professor of Economics, New York University, Senior Fellow, Hoover Institution, Stanford, CA and Nobel Prize Winner
  • Tom Sargent (NYU) presented “How Should I Trade?” (with Ziyue Yang). Reinforcement learning meets Kiyotaki–Wright: can monetary exchange emerge when agents do not know the distribution and learn only from bilateral experience with MuZero?
    Tom Sargent (NYU) presented “How Should I Trade?” (with Ziyue Yang). Reinforcement learning meets Kiyotaki–Wright: can monetary exchange emerge when agents do not know the distribution and learn only from bilateral experience with MuZero?
  • Xiaohong Chen (Yale) presented “Neural Networks for Economics: Theory & Inference”. Long before today’s AI boom, econometricians (Chen, White, and others) built foundations for neural nets as sieves. These tools are now crucial for NN-based estimation and inference in economics
    Xiaohong Chen (Yale) presented “Neural Networks for Economics: Theory & Inference”. Long before today’s AI boom, econometricians (Chen, White, and others) built foundations for neural nets as sieves. These tools are now crucial for NN-based estimation and inference in economics
  • Ben Moll (LSE) presented “Structural Reinforcement Learning for Heterogeneous Agent Macroeconomics” with Yucheng Yang, Wang & Schaab. SRL replaces agent distribution with low-dim prices as state variable & learns price dynamics from simulated paths w/o perceived law of motion
    Ben Moll (LSE) presented “Structural Reinforcement Learning for Heterogeneous Agent Macroeconomics” with Yucheng Yang, Wang & Schaab. SRL replaces agent distribution with low-dim prices as state variable & learns price dynamics from simulated paths w/o perceived law of motion
  • Adrien Auclert (Stanford) presented “Beyond Certainty Equivalence: Higher-Order Perturbations in the Sequence Space” with Rigato, Rognlie & Ludwig Straub. They extend the influential sequence-space Jacobian approach beyond the 1st order, enabling study of new questions in HA macro
    Adrien Auclert (Stanford) presented “Beyond Certainty Equivalence: Higher-Order Perturbations in the Sequence Space” with Rigato, Rognlie & Ludwig Straub. They extend the influential sequence-space Jacobian approach beyond the 1st order, enabling study of new questions in HA macro

PhD Luncheon with Tom Sargent

As part of the workshop, a PhD luncheon was also held with Tom Sargent. The PhD students had the opportunity to present their research projects to Tom Sargent and the other participants, ask specific questions, and take part in a lively and informative discussion. The luncheon was organized by Prof. Yucheng Yang.

More information:

  • Workshop on AI and New Methods in Macroeconomics and Trade 2025: Link 
  • Workshop on the Frontier of Quantitative Macroeconomics: Methods and Models 2024: Link 

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