The dynamics of U.S. industrial production: A time-varying Granger causality perspective

IF 2 Q2 ECONOMICS
Christopher F. Baum , Stan Hurn , Jesús Otero
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引用次数: 0

Abstract

The concept of Granger causality is an important tool in applied macroeconomics. Recursive econometric methods to analyze the temporal stability of Granger-causal relationships have recently been developed. These recursive procedures are used to re-evaluate the temporal stability of Granger causality between US industrial production and three macroeconomic variables. There appears to be significant evidence of temporal variation in the causal relationships. A clear pattern that emerges from the results is that the causal channels from all three variables to industrial production appear to be very strong in the latter part of the sample period.
美国工业生产的动态:一个时变格兰杰因果关系的观点
格兰杰因果关系是应用宏观经济学中的一个重要工具。递归计量经济学的方法来分析格兰杰因果关系的时间稳定性最近发展。这些递归过程被用来重新评估美国工业生产与三个宏观经济变量之间格兰杰因果关系的时间稳定性。在因果关系中似乎有明显的时间变化的证据。从结果中出现的一个清晰的模式是,从所有三个变量到工业生产的因果渠道在样本周期的后半段似乎非常强大。
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来源期刊
CiteScore
3.10
自引率
10.50%
发文量
84
期刊介绍: Econometrics and Statistics is the official journal of the networks Computational and Financial Econometrics and Computational and Methodological Statistics. It publishes research papers in all aspects of econometrics and statistics and comprises of the two sections Part A: Econometrics and Part B: Statistics.
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