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Financial Frictions and the Wealth Distribution

Jesus Fernandez-Villaverde, Samuel Hurtado and Galo Nuño Barrau

No 8482, CESifo Working Paper Series from CESifo

Abstract: We postulate a nonlinear DSGE model with a financial sector and heterogeneous households. In our model, the interaction between the supply of bonds by the financial sector and the precautionary demand for bonds by households produces significant endogenous aggregate risk. This risk induces an endogenous regime-switching process for output, the risk-free rate, excess returns, debt, and leverage. The regime-switching generates i) multimodal distributions of the variables above; ii) time-varying levels of volatility and skewness for the same variables; and iii) supercycles of borrowing and deleveraging. All of these are important properties of the data. In comparison, the representative household version of the model cannot generate any of these features. Methodologically, we discuss how nonlinear DSGE models with heterogeneous agents can be efficiently computed using machine learning and how they can be estimated with a likelihood function, using inference with diffusions.

Keywords: heterogeneous agents; wealth distribution; financial frictions; continuous-time; machine learning; neural networks; structural estimation; likelihood function (search for similar items in EconPapers)
JEL-codes: C45 C63 E32 E44 G01 G11 (search for similar items in EconPapers)
Date: 2020
New Economics Papers: this item is included in nep-big, nep-dge, nep-fdg, nep-mac and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Related works:
Journal Article: Financial Frictions and the Wealth Distribution (2023) Downloads
Working Paper: Financial frictions and the wealth distribution (2020) Downloads
Working Paper: Financial Frictions and the Wealth Distribution (2019) Downloads
Working Paper: Financial Frictions and the Wealth Distribution (2019) Downloads
Working Paper: Financial Frictions and the Wealth Distribution (2019) Downloads
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