The dynamics of U.S. industrial production: A time-varying Granger causality perspective
Christopher Baum,
Stan Hurn and
Jesus Otero
Econometrics and Statistics, 2025, vol. 33, issue C, 13-22
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.
Keywords: Granger causality; Time variation; Date-stamping (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S2452306221001271
Full text for ScienceDirect subscribers only. Contains open access articles
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecosta:v:33:y:2025:i:c:p:13-22
DOI: 10.1016/j.ecosta.2021.10.012
Access Statistics for this article
Econometrics and Statistics is currently edited by E.J. Kontoghiorghes, H. Van Dijk and A.M. Colubi
More articles in Econometrics and Statistics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().