Abstract

 


 



Purchasing Power Parity: A Nonlinear Multivariate Approach


Frederique Bec


National Institute of Statistics and Economic Studies (INSEE) - Center for Research in Economics and Statistics (CREST); University of Cergy-Pontoise - THEMA

Melika Ben Salem


Université Paris-Est Marne la Vallée (UPEMLV); Universite Paris Est

Anders Rahbek


University of Copenhagen - Department of Statistics and Operations Research

August 20, 2008

Economics Bulletin, Vol. 6, No. 39, pp. 1-6, 2008

Abstract:     
The goal of this paper is to disentangle the respective contributions of the nominal exchange rate and the price differential to the adjustment towards the Purchasing Power Parity relation. To this end, we estimate a threshold vector equilibrium correction model, whose dynamics is consistent with the PPP in presence of trading costs. European data support the relevance of this model for Belgium, France and Italy, but this is not the case for the G7 data against the US Dollar. Furthermore, the adjustment in European countries seems to have been achieved only through nominal exchange rate changes.

Keywords: Real exchange rate, threshold vector equilibrium correction model

JEL Classification: F31, C12, C22

Accepted Paper Series


Date posted: March 21, 2009  

Suggested Citation

Bec, Frederique, Ben Salem, Melika and Rahbek, Anders, Purchasing Power Parity: A Nonlinear Multivariate Approach (August 20, 2008). Economics Bulletin, Vol. 6, No. 39, pp. 1-6, 2008. Available at SSRN: http://ssrn.com/abstract=1365811

Contact Information

Frederique Bec (Contact Author)
National Institute of Statistics and Economic Studies (INSEE) - Center for Research in Economics and Statistics (CREST) ( email )
15 Boulevard Gabriel Peri
92245 Malakoff Cedex
France
University of Cergy-Pontoise - THEMA ( email )
33 boulevard du port
F-95011 Cergy-Pontoise Cedex, 95011
France
Melika Ben Salem
Université Paris-Est Marne la Vallée (UPEMLV) ( email )
France
Universite Paris Est ( email )
Batiment Bois de l'Etang
5 rue Galilee
Champs sur Marne, 77420
France
Anders Rahbek
University of Copenhagen - Department of Statistics and Operations Research ( email )
Universitetsparken 5
DK-2100
Denmark
+45 3532 0682 (Phone)
Feedback to SSRN (Beta)


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