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

被引：15

作者：

Baum, Christopher F. ^{[1
]}

Hurn, Stan ^{[2
]}

Otero, Jesus ^{[3
]}

机构：

[1] Boston Coll, Chestnut Hill, MA 02467 USA

[2] Queensland Univ Technol, Brisbane, Australia

[3] Univ Rosario, Bogota, Colombia

来源：

ECONOMETRICS AND STATISTICS | 2025年 / 33卷

关键词：

Granger causality; Time variation; Date-stamping; LONG-RUN CAUSALITY; UNIT-ROOT; ECONOMIC-GROWTH; SERIES; MONEY; TESTS; EXUBERANCE; MODELS; OIL;

D O I：

10.1016/j.ecosta.2021.10.012

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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. (c) 2021 EcoSta Econometrics and Statistics. Published by Elsevier B.V. All rights reserved.

引用

页码：13 / 22

页数：10

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