NONLINEAR CAUSAL RELATIONSHIP BETWEEN ECONOMIC POLICY UNCERTAINTY AND MACROECONOMIC VARIABLES IN SELECTED EMERGING MARKET ECONOMIES

IF 2 0 ECONOMICS Annals of Financial Economics Pub Date : 2022-09-07 DOI:10.1142/s2010495222400024
Abigail Naa Korkor Adjei, George Tweneboah, Peterson Owusu Junior
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引用次数: 2

Abstract

This paper sought to close the gap on the inconsistent findings on the causal relationship between uncertainty and business cycles. We investigate the causal relationship between economic policy uncertainty (EPU) and business cycles in six emerging market economies, during the period January 1999 to December 2018. We significantly contribute to the literature by adopting a robust nonlinear causality test and the maximal overlap discrete wavelet transform that transforms the series into multilevel wavelet and scaling coefficients. The empirical findings are thus presented in short-, medium-, and long-term dynamics, which correspond to investors’ different time horizons. We further introduce new variables which significantly alter our understanding of the inconsistent findings between EPU and business cycles. We record a handful of evidence to prove that EPU is both a cause and effect of business cycle fluctuations, except for India that records a one-way causality from business cycles to EPU. These findings are significant because they provide investors and policymakers with information on the causal relationship between EPU and business cycles over time and across frequencies, which can be used to improve policy formulations and investment strategies across time horizons. Furthermore, the findings aid in explaining the inconsistent findings in the literature.
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新兴市场经济体经济政策不确定性与宏观经济变量的非线性因果关系
本文试图弥合不确定性与经济周期因果关系的不一致发现之间的差距。本文研究了1999年1月至2018年12月六个新兴市场经济体经济政策不确定性(EPU)与经济周期之间的因果关系。我们通过采用鲁棒非线性因果检验和最大重叠离散小波变换,将序列转换为多级小波和标度系数,显著地贡献了文献。因此,实证研究结果在短期、中期和长期动态中呈现,对应于投资者的不同时间范围。我们进一步引入了新的变量,这些变量显著地改变了我们对EPU和商业周期之间不一致发现的理解。我们记录了一些证据来证明EPU既是商业周期波动的因果关系,也是商业周期波动的结果,除了印度记录了商业周期与EPU之间的单向因果关系。这些发现意义重大,因为它们为投资者和政策制定者提供了EPU与商业周期之间随时间和频率的因果关系的信息,可用于改进政策制定和跨时间范围的投资策略。此外,这些发现有助于解释文献中不一致的发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
6.60
自引率
55.00%
发文量
30
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