Shocks , Frictions , and Inequality in US Business Cycles
成果类型:
Article
署名作者:
Bayer, Christian; Born, Benjamin; Luetticke, Ralph
署名单位:
University of Bonn; Leibniz Association; Ifo Institut; IZA Institute Labor Economics; Leibniz Association; Ifo Institut; Frankfurt School Finance & Management; Leibniz Association; Ifo Institut; Eberhard Karls University of Tubingen
刊物名称:
AMERICAN ECONOMIC REVIEW
ISSN/ISSBN:
0002-8282
DOI:
10.1257/aer.20201875
发表日期:
2024
页码:
1211-1247
关键词:
monetary-policy
precautionary savings
income
transmission
models
WEALTH
tax
DYNAMICS
GROWTH
macro
摘要:
We show how a heterogeneous agent New Keynesian ( HANK ) model with incomplete markets and portfolio choice can be estimated in state space using a Bayesian approach. To render estimation feasible , the structure of the economy can be exploited and the dimensionality of the model automatically reduced based on the Bayesian priors. We apply this approach to analyze how much inequality matters for the business cycle and vice versa. Even when the model is estimated on aggregate data alone and with a set of shocks and frictions designed to match aggregate data , it broadly reproduces observed US inequality dynamics.