DeepLearningMacro
Deep learning foundations and Euler-equation methods for stochastic RBC and heterogeneous-agent models.
JuliaDeep learningComputational macroeconomics
Yuxuan Zhao
I am a first-year Ph.D. student in Economics at the University of Minnesota. My research interests are in macroeconomics, behavioral economics, and macro-finance. Broadly speaking, my research focuses on the role of imperfect information in macroeconomic business cycles. I am also interested in heterogeneous-agent models and the informational effects of public signals.
Education
Ph.D. in Economics, University of Minnesota, Twin Cities · 2025–Present
B.A. in Economics, Yuanpei College & School of Economics, Peking University · 2021–2025
GitHub
These are selected public repositories from my GitHub profile. They include code and notebooks implementing computational methods in macroeconomics.
sequence_space_jacobian
Sequence-space Jacobians, heterogeneous-agent transitions, and the fake news algorithm.
JuliaSequence-space JacobianHeterogeneous agents
KS1998
A Julia implementation of the traditional Krusell–Smith (1998) solution algorithm.
JuliaKrusell–SmithReplication
Research
Work in Progress
Failures of Expectation Management: Learning from Counter-Cyclical Signaling Policy
with Bo Li ↗
Teaching
Principles of Economics (Macro)
Teaching Assistant · Peking University, Department of Economics · 2025
During my undergraduate studies, I led a weekly TA section for Principles of Economics (Macro).
View syllabus · Chinese version ↗Contact
Questions, ideas, or research conversations are always welcome.
zhao2229@umn.edu