In-sample and out-of-sample properties of linear and nonlinear Taylor rules
Ting Qin and
Walter Enders
Journal of Macroeconomics, 2008, vol. 30, issue 1, 428-443
Abstract:
This paper examines the in-sample and out-of-sample properties of linear and nonlinear Taylor rules using real-time US data. We find that: (i) in-sample and out-of-sample performance measures generally select the same functional form for the Taylor rule and that (ii) the form of the Taylor rule differs across the pre-Greenspan and Greenspan sample periods. However, when we compare the out-of-sample forecasting performance of the Taylor rules to those of univariate models of the federal funds rate, we find it quite interesting that the univariate models forecast better than the Taylor rules after, but not before, 1979.
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (52)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0164-0704(07)00046-8
Full text for ScienceDirect subscribers only
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:eee:jmacro:v:30:y:2008:i:1:p:428-443
Access Statistics for this article
Journal of Macroeconomics is currently edited by Douglas McMillin and Theodore Palivos
More articles in Journal of Macroeconomics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().