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Estimating threshold vector error-correction models with multiple cointegrating relationships

Gascoigne, J. (2004) Estimating threshold vector error-correction models with multiple cointegrating relationships. Working Paper. Department of Economics, University of Sheffield ISSN 1749-8368

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Abstract

Hansen and Seo (2002) outline procedures to test for threshold cointegration, and to estimate a bi-variate model. However, in their conclusion they note that future research will have to find a way of estimating larger systems with multiple cointegrating vectors. This paper proposes a new algorithm that can be used to estimate such models. Simulation experiments are used to compare the algorithm´s performance with that of Hansen and Seo, and a practical application to the term structure of UK interest rates is also presented.

Item Type: Monograph (Working Paper)
Copyright, Publisher and Additional Information: The Sheffield Economics Research Paper (SERP) series offers a forum for the research output of the academic staff and research students of the Department of Economics, University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. All papers may be downloaded free on the understanding that the contents are preliminary and therefore permission from the author(s) should be sought before they are referenced.
Keywords: Nonlinearity, Cointegration, Term Structure
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Economics (Sheffield) > Sheffield Economics Research Papers Series
Depositing User: Repository Officer
Date Deposited: 20 Oct 2009 12:20
Last Modified: 06 Jun 2014 14:12
Published Version: http://www.shef.ac.uk/economics/research/serps/yea...
Status: Published
Publisher: Department of Economics, University of Sheffield
Identification Number: Sheffield Economic Research Paper Series 2004013
Related URLs:
URI: http://eprints.whiterose.ac.uk/id/eprint/9899

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