衡量通货膨胀不确定性的相互依存性

IF 1.9 4区 经济学 Q2 ECONOMICS Computational Economics Pub Date : 2024-06-24 DOI:10.1007/s10614-024-10635-z
Seohyun Lee
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引用次数: 0

摘要

全球金融危机和欧洲债务危机期间史无前例的政策应对措施可能增加了通胀的不确定性,并加强了通胀不确定性冲击从一国向另一国的传递。本文研究了实证方法,以衡量英国和欧元区之间通胀不确定性相互依存的强度。首先,我通过双变量 VAR GARCH 模型的事后预测误差来估计通胀的不确定性,并发现通胀的不确定性表现出非高斯特性。在这种情况下,如果没有适当解决内生性问题,衡量相互依赖性的相关性和共线性可能会出现偏差。为了确定相互依存的内生性表示中的结构参数,我利用了由方差比决定的不同制度数据中的异方差性。估计结果证实,通胀不确定性的传播强度在危机期间放大,而相互依存性在危机后时期明显减弱。
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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Measuring Interdependence of Inflation Uncertainty

The unprecedented policy responses during the Global Financial Crisis and European debt crisis may have increased uncertainty about inflation and strengthen the transmission of inflation uncertainty shocks from one country to another. This paper examines empirical methodologies to measure the strength of the interdependence of inflation uncertainty between the UK and the euro area. First, I estimate inflation uncertainty by ex post forecast errors from a bivariate VAR GARCH model and find that the inflation uncertainty exhibits non-Gaussian properties. In such cases, correlations and copulas to measure the interdependence could suffer from bias if endogeneity is not properly addressed. To identify structural parameters in an endogeneity representation of interdependence, I exploit heteroskedasticity in the data across different regimes determined by the ratio of variances. The estimation results corroborate that the strength of the propagation of inflation uncertainty amplifies during the crisis while the interdependence significantly weakens in the post-crisis period.

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来源期刊
Computational Economics
Computational Economics MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.00
自引率
15.00%
发文量
119
审稿时长
12 months
期刊介绍: Computational Economics, the official journal of the Society for Computational Economics, presents new research in a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems from all branches in economics. The topics of Computational Economics include computational methods in econometrics like filtering, bayesian and non-parametric approaches, markov processes and monte carlo simulation; agent based methods, machine learning, evolutionary algorithms, (neural) network modeling; computational aspects of dynamic systems, optimization, optimal control, games, equilibrium modeling; hardware and software developments, modeling languages, interfaces, symbolic processing, distributed and parallel processing
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