Real Wages over the Business Cycle: Evidence from a Structural Time Series Model
Naci Mocan and
Kudret Topyan ()
Oxford Bulletin of Economics and Statistics, 1993, vol. 55, issue 4, 363-89
Abstract:
This paper uses a Structural Time Series Model to investigate the behavior of real wages over the business cycle. Estimating a flexible trend using the Kalman Filter enables us to avoid the current controversy surrounding the unit testing issue. Using the unexpected changes in the price level and output we determine the periods dominated by demand and supply disturbances. Real wages in the United States, Canada, France, the United Kingdom move procyclically in the existence of supply shocks, but are countercyclical in the presence of demand disturbances. The results support the predictions of macro models involving nominal wage stickiness and the Real Business Cycle (RBC) premise that real wages are procyclical in the existence of supply disturbances. They also underscore the significance of recent RBC research which puts emphasis on demand disturbances. Copyright 1993 by Blackwell Publishing Ltd
Date: 1993
References: Add references at CitEc
Citations: View citations in EconPapers (14)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:bla:obuest:v:55:y:1993:i:4:p:363-89
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0305-9049
Access Statistics for this article
Oxford Bulletin of Economics and Statistics is currently edited by Christopher Adam, Anindya Banerjee, Christopher Bowdler, David Hendry, Adriaan Kalwij, John Knight and Jonathan Temple
More articles in Oxford Bulletin of Economics and Statistics from Department of Economics, University of Oxford Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().