Synchronization of endogenous business cycles

IF 2.3 3区 经济学 Q2 ECONOMICS
Marco Pangallo
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引用次数: 0

Abstract

Business cycles tend to comove across countries. However, standard models that attribute comovement to propagation of exogenous shocks struggle to generate a level of comovement that is as high as in the data. In this paper, we consider models that produce business cycles endogenously, through some form of non-linear dynamics—limit cycles or chaos. These models generate stronger comovement, because they combine shock propagation with synchronization of endogenous dynamics. In particular, we study a demand-driven reduced-form model in which business cycles emerge from strategic complementarities within countries, synchronizing their oscillations through international trade linkages. We develop an eigendecomposition that explores the interplay between non-linear dynamics, shock propagation and network structure, and use this theory to understand the mechanisms of synchronization. Next, we calibrate the model to data on 24 countries and show that the empirical level of comovement can only be matched by combining endogenous business cycles with exogenous shocks. Despite the limitations of using a stylized model, our results support the hypothesis that business cycles are at least in part caused by underlying non-linear dynamics.
内生经济周期同步
商业周期往往跨越国家。然而,将共同性归因于外生冲击传播的标准模型难以产生与数据中一样高的共同性水平。在本文中,我们考虑了通过某种形式的非线性动力学——极限环或混沌——内生地产生经济周期的模型。这些模型产生了更强的共运动,因为它们结合了冲击传播和内生动力学的同步。我们特别研究了需求驱动的简化形式模型,在该模型中,商业周期源于各国内部的战略互补性,通过国际贸易联系同步其振荡。我们开发了一个特征分解,探索非线性动力学,冲击传播和网络结构之间的相互作用,并使用该理论来理解同步机制。接下来,我们将模型校准为24个国家的数据,并表明只有将内生经济周期与外生冲击相结合,才能匹配实证水平的变动。尽管使用程式化模型存在局限性,但我们的结果支持这样的假设,即商业周期至少部分是由潜在的非线性动力学引起的。
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来源期刊
CiteScore
3.80
自引率
9.10%
发文量
392
期刊介绍: The Journal of Economic Behavior and Organization is devoted to theoretical and empirical research concerning economic decision, organization and behavior and to economic change in all its aspects. Its specific purposes are to foster an improved understanding of how human cognitive, computational and informational characteristics influence the working of economic organizations and market economies and how an economy structural features lead to various types of micro and macro behavior, to changing patterns of development and to institutional evolution. Research with these purposes that explore the interrelations of economics with other disciplines such as biology, psychology, law, anthropology, sociology and mathematics is particularly welcome.
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