商业周期中的不平等——分配冲击的作用

M. Clemens, Ulrich Eydam, Maik Heinemann
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引用次数: 1

摘要

本文考察了商业周期中财富和收入不平等的动态,并评估了它们与功能性收入分配波动的关系。在1970年至2016年对经合组织国家的小组估计中,我们发现平均收入不平等(用基尼系数衡量)是逆周期的,也与资本份额有显著关联。仔细观察,我们发现,在所有国家中,有三分之一的国家表现出相当亲周期性或非周期性的关系。为了理解不平等的潜在周期性动态,我们将分配冲击(作为资本份额的外生变化建模)纳入真实的商业周期模型,其中代理人在财富和能力方面是事前异质性的。我们展示了如何在这个框架内推导出标准的不平等度量,这使我们能够分析生产率和分配冲击如何影响宏观经济变量以及商业周期中的个人收入和财富分配。我们发现,模型中的财富和收入不平等是否具有逆周期行为取决于两个方面。替代的跨期弹性与冲击的持续性。我们使用贝叶斯技术将GDP、资本份额和消费与美国季度数据相匹配。由此得出的参数估计指向生产率波动与不平等之间的非单调关系。在影响方面,不平等会随着TFP冲击而增加,但在后期会下降。这种模式与美国经验观察到的关系是一致的。此外,我们发现TFP冲击解释了美国17%的不平等周期性波动。
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Inequality over the Business Cycle – The Role of Distributive Shocks
This paper examines the dynamics of wealth and income inequality along the business cycle and assesses how they are related to fluctuations in the functional income distribution. In a panel estimation for OECD countries between 1970 and 2016 we find that on average income inequality - measured by the Gini coefficient - is countercyclical and also shows a significant association with the capital share. Up on a closer look, we find that a remarkable share of one third of all countries display a rather pro- or acyclical relationship. In order to understand the underlying cyclical dynamics of inequality we incorporate distributive shocks, modeled as exogenous changes in the capital share, into a real business cycle model, where agents are ex-ante heterogeneous with respect to wealth and ability. We show how to derive standard inequality measures within this framework, which allow us to analyze how productivity and distributive shocks affect both, the macroeconomic variables and the personal income and wealth distribution over the business cycle. We find that whether wealth and income inequality in the model behaves countercyclical or not depends on two aspects. The intertemporal elasticity of substitution and the persistence of the shocks. We use Bayesian techniques in order to match GDP, capital share and consumption to quarterly U.S. data. The resulting parameter estimates point towards a non-monotonic relationship between productivity fluctuations and inequality. On impact, inequality increases in response to TFP shocks but declines in later periods. This pattern is consistent with the empirically observed relationship in the USA. Furthermore, we find that TFP shocks explain about 17 percent of the cyclical fluctuations in inequality in the USA.
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