G2TT
来源类型Discussion paper
规范类型论文
来源IDDP16183
DP16183 Heterogeneity and Aggregate Fluctuations
Minsu Chang; Xiaohong Chen; Frank Schorfheide
发表日期2021-05-24
出版年2021
语种英语
摘要We develop a state-space model with a state-transition equation that takes the form of a functional vector autoregression and stacks macroeconomic aggregates and a cross-sectional density. The measurement equation captures the error in estimating log densities from repeated cross-sectional samples. The log densities and the transition kernels in the law of motion of the states are approximated by sieves, which leads to a finite-dimensional representation in terms of macroeconomic aggregates and sieve coefficents. We use this model to study the joint dynamics of technology shocks, per capita GDP, employment rates, and the earnings distribution. We find that the estimated spillovers between aggregate and distributional dynamics are generally small, a positive technology shock tends to decrease inequality, and a shock that raises the inequality of earnings leads to a small but not significant increase in GDP.
主题Macroeconomics and Growth ; Monetary Economics and Fluctuations
关键词Bayesian model selection Econometric model evaluation Earnings distribution Functional vector autoregressions Heterogeneous agent models State-space model Technology shocks
URLhttps://cepr.org/publications/dp16183
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/545155
推荐引用方式
GB/T 7714
Minsu Chang,Xiaohong Chen,Frank Schorfheide. DP16183 Heterogeneity and Aggregate Fluctuations. 2021.
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