Estimation of a nonlinear Taylor rule using real-time U.S. data
This paper extends the work in Orphanides (2003) by re-examining the empirical evidence for a Taylor rule in a nonlinear framework. In doing so, it updates the Greenbook dataset used by the afore men- tioned author to the most recent available period. A three-regime threshold regression model is utilized to capture the possibly asymmetric policy reaction function used by the U.S. Federal Reserve. The theoretical foundations for such an approach to monetary policy are discussed in Orphanides and Wilcox (2002). Our results indicate that the estimated Taylor rule for the U.S., based on real-time Greenbook data for the period 1982:3-2003:4, is probably nonlinear.
|Date of creation:||Jul 2010|
|Date of revision:|
|Contact details of provider:|| Postal: 500 Glenridge Avenue, St. Catharines, Ontario, L2S 3A1|
Phone: (905) 688-5550 3325
Fax: (905) 988-9388
Web page: http://www.brocku.ca/economics/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Nikolsko-Rzhevskyy, Alex, 2008. "Monetary Policy Evaluation in Real Time: Forward-Looking Taylor Rules Without Forward-Looking Data," MPRA Paper 11352, University Library of Munich, Germany.
When requesting a correction, please mention this item's handle: RePEc:brk:wpaper:1005. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jean-Francois Lamarche)
If references are entirely missing, you can add them using this form.