Does Money Matter in Canada? Evidence from a Vector Error Correction Model

Steven Ambler ()

The Review of Economics and Statistics, 1989, vol. 71, issue 4, 651-58

Abstract: This paper investigates the statistical properties of a set of Canadian and U.S. economic time series and uses the data to address the question of the importance of monetary variables in Canadian business cycle fluctuations. The individual time series are found to contain unit roots, but the data reveal the existence of several economically meaningful cointegrating vectors. A multivariate vector error correction model is estimated, and Canadian velocity, which appears as an error correction term, is significant in the Canadian output equation. This supports the contention that monetary variables have predictive content for real output. Copyright 1989 by MIT Press.

Date: 1989
References: Add references at CitEc
Citations: View citations in EconPapers (26)

Downloads: (external link)
http://links.jstor.org/sici?sici=0034-6535%2819891 ... O%3B2-N&origin=repec full text (application/pdf)
Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.

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:tpr:restat:v:71:y:1989:i:4:p:651-58

Ordering information: This journal article can be ordered from
https://mitpressjour ... rnal/?issn=0034-6535

Access Statistics for this article

The Review of Economics and Statistics is currently edited by Pierre Azoulay, Olivier Coibion, Will Dobbie, Raymond Fisman, Benjamin R. Handel, Brian A. Jacob, Kareen Rozen, Xiaoxia Shi, Tavneet Suri and Yi Xu

More articles in The Review of Economics and Statistics from MIT Press
Bibliographic data for series maintained by The MIT Press ().