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Hanno Kase

University of Minnesota - Minneapolis

10 University Avenue

Duluth, MN 55810

United States

  • University of Minnesota - Minneapolis

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Scholarly Papers (1)

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Estimating Nonlinear Heterogeneous Agents Models with Neural Networks

FRB of Chicago Working Paper No. 2022-26
Number of pages: 55 Posted: 17 Jun 2022
Hanno Kase, Leonardo Melosi and Matthias Rottner
University of Minnesota - Minneapolis, Federal Reserve Bank of Chicago and Bank for International Settlements (BIS)
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Abstract:

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Machine learning, neural networks, Bayesian estimation, global solution, heterogeneous agents, nonlinearities, aggregate uncertainty, HANK model, zero lower bound