Seasonality, leading indicators, and alternative business cycle theories
John Wells
Applied Economics, 1999, vol. 31, issue 5, 531-538
Abstract:
Rolling regressions and Granger causality tests are used to examine the predictive ability of seasonally adjusted and unadjusted leading economic indicators for the US economy. Many of the unadjusted variables perform better than their adjusted counterparts, but asymmetric behaviour is also evident. Alternative leading indicators such as the bond spread and the Fed Funds rate do not predict cycles as well as real money balances. Unadjusted real business failure liabilities and business formation also appear to perform well.
Date: 1999
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/000368499323986 (text/html)
Access to full text is restricted to subscribers.
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:taf:applec:v:31:y:1999:i:5:p:531-538
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/000368499323986
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().