A nonparametric measure of convergence towards purchasing power parity
Mototsugu Shintani
Journal of Applied Econometrics, 2006, vol. 21, issue 5, 589-604
Abstract:
It has been claimed that the deviations from purchasing power parity are highly persistent and have quite long half-lives under the assumption of a linear adjustment of real exchange rates. However, inspired by trade cost models, nonlinear adjustment has been widely employed in recent empirical studies. This paper proposes a simple nonparametric procedure for evaluating the speed of adjustment in the presence of nonlinearity, using the largest Lyapunov exponent of the time series. The empirical result suggests that the speed of convergence to a long-run price level is indeed faster than what was found in previous studies with linear restrictions. Copyright © 2006 John Wiley & Sons, Ltd.
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://hdl.handle.net/10.1002/jae.867 Link to full text; subscription required (text/html)
http://qed.econ.queensu.ca:80/jae/2006-v21.5/ Supporting data files and programs (text/html)
Related works:
Working Paper: A Nonparametric Measure of Convergence Toward Purchasing Power Parity (2004) 
Working Paper: A Nonparametric Measure of Convergence Toward Purchasing Power Parity (2003) 
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:jae:japmet:v:21:y:2006:i:5:p:589-604
Ordering information: This journal article can be ordered from
http://www3.intersci ... e.jsp?issn=0883-7252
DOI: 10.1002/jae.867
Access Statistics for this article
Journal of Applied Econometrics is currently edited by M. Hashem Pesaran
More articles in Journal of Applied Econometrics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and Christopher F. Baum ().