Structural Models Of The Liquidity Effect
Adrian Pagan and
John Robertson
The Review of Economics and Statistics, 1998, vol. 80, issue 2, 202-217
Abstract:
In this paper we examine a number of recent studies that claim to have obtained a well-defined liquidity effect using structural VAR models based on broad measures of money. These studies can be distinguished in terms of the identifying restrictions, sample periods, and frequency of data used. We show that estimation of the structural coefficients of all these models can be achieved by instrumental-variable methods, where the instruments are predetermined variables and the estimated structural errors from other equations in the system. Overall, our judgment is that the evidence for a liquidity effect from these studies is much less certain than suggested in the original papers, primarily because of the poor quality of the instruments used in estimation and the sensitivity of the estimates to the sample period used. © 1998 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology
Date: 1998
References: Add references at CitEc
Citations: View citations in EconPapers (50)
Downloads: (external link)
http://www.mitpressjournals.org/doi/pdf/10.1162/003465398557456 (application/pdf)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Structural Models of the Liquidity Effect (1995)
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:80:y:1998:i:2:p:202-217
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 ().