Adaptive Consistent Unit Root Tests Based on Autoregressive Threshold Model

Posted: 21 Mar 2009

See all articles by Frederique Bec

Frederique Bec

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

Alain Guay

University of Quebec at Montreal (UQAM) - Centre de recherche sur l'emploi et les fluctuations économiques (CREFÉ)

Emmanuel Guerre

University of Paris VI Pierre et Marie Curie; National Institute of Statistics and Economic Studies (INSEE) - Department of Research ; National Institute of Statistics and Economic Studies (INSEE) - National School for Statistical and Economic Administration (ENSAE)

Date Written: March 20, 2009

Abstract

This paper proposes SupWald tests from a threshold autoregressive model computed with an adaptive set of thresholds. Simple examples of adaptive threshold sets are given. A second contribution of the paper is a general asymptotic null limit theory when the threshold variable is a level variable. We obtain a pivotal null limiting distribution under some simple conditions for bounded or asymptotically unbounded thresholds. Our general approach is flexible enough to allow a choice of the auxiliary threshold model or of the threshold set involved in the test specifically designed for nonlinear stationary alternatives relevant for macroeconomic and financial topics involving arbitrage in presence of transaction costs. A Monte-Carlo study and an application to the interest rates spread for French, German, New-Zealander and US post-1980 monthly data illustrate the ability of the adaptive SupWald tests to reject unit-root when the ADF does not.

Keywords: Unit root test, threshold autoregressive model, term structure of interest rates.

JEL Classification: C12, C22, C32, E43

Suggested Citation

Bec, Frederique and Bec, Frederique and Guay, Alain and Guerre, Emmanuel, Adaptive Consistent Unit Root Tests Based on Autoregressive Threshold Model (March 20, 2009). Journal of Econometrics, Vol. 142, 2008, Available at SSRN: https://ssrn.com/abstract=1365823

Frederique Bec

National Institute of Statistics and Economic Studies (INSEE) - Center for Research in Economics and Statistics (CREST) ( email )

15 Boulevard Gabriel Peri
Malakoff Cedex, 1 92245
France

University of Cergy-Pontoise - THEMA ( email )

33 boulevard du port
F-95011 Cergy-Pontoise Cedex, 95011
France

Alain Guay (Contact Author)

University of Quebec at Montreal (UQAM) - Centre de recherche sur l'emploi et les fluctuations économiques (CREFÉ) ( email )

P.O. Box 8888, Downtown Station
Montreal, Quebec H3C 3P8
Canada
(514) 987-3000 (Phone)
(514) 987-8494 (Fax)

Emmanuel Guerre

University of Paris VI Pierre et Marie Curie ( email )

175 Rue du Chevaleret
F-75252-Paris Cedex 05
France
+33 1 44 27 70 48 (Phone)
+33 1 44 27 70 50 (Fax)

National Institute of Statistics and Economic Studies (INSEE) - Department of Research ( email )

92245 Malakoff Cedex
France

National Institute of Statistics and Economic Studies (INSEE) - National School for Statistical and Economic Administration (ENSAE) ( email )

92245 Malakoff Cedex
France

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