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Threshold effects in multivariate error correction models

Threshold effects in multivariate error correction models
Threshold effects in multivariate error correction models
In this paper we propose a testing procedure for assessing the presence of threshold effects in nonstationary Vector autoregressive models with or without cointegration. Our approach involves first testing whether the long run impact matrix characterising the VECM type representation of the VAR switches according to the magnitude of some threshold variable and is valid regardless of whether the system is purely I(1), I(1) with cointegration or stationary. Once the potential presence of threshold effects is established we subsequently evaluate the cointegrating properties of the system in each regime through a model selection based approach whose asymptotic and finite sample properties are also established. This subsequently allows us to introduce a novel non-linear permanent and transitory decomposition of the vector process of interest
9781403941558
578-609
Palgrave Macmillan
Gonzalo, Jesus
57637a0a-f7da-417f-9d2e-3a33a7082504
Pitarakis, Jean-Yves
ee5519ae-9c0f-4d79-8a3a-c25db105bd51
Terence, C. Mills
Patterson, Kerry
Gonzalo, Jesus
57637a0a-f7da-417f-9d2e-3a33a7082504
Pitarakis, Jean-Yves
ee5519ae-9c0f-4d79-8a3a-c25db105bd51
Terence, C. Mills
Patterson, Kerry

Gonzalo, Jesus and Pitarakis, Jean-Yves (2006) Threshold effects in multivariate error correction models. In, Terence, C. Mills and Patterson, Kerry (eds.) Palgrave Handbook of Econometrics: Volume 1; Econometric Theory. (Palgrave Handbook of Econometrics, 1) Basingstoke, England. Palgrave Macmillan, pp. 578-609.

Record type: Book Section

Abstract

In this paper we propose a testing procedure for assessing the presence of threshold effects in nonstationary Vector autoregressive models with or without cointegration. Our approach involves first testing whether the long run impact matrix characterising the VECM type representation of the VAR switches according to the magnitude of some threshold variable and is valid regardless of whether the system is purely I(1), I(1) with cointegration or stationary. Once the potential presence of threshold effects is established we subsequently evaluate the cointegrating properties of the system in each regime through a model selection based approach whose asymptotic and finite sample properties are also established. This subsequently allows us to introduce a novel non-linear permanent and transitory decomposition of the vector process of interest

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Published date: 2006

Identifiers

Local EPrints ID: 35109
URI: http://eprints.soton.ac.uk/id/eprint/35109
ISBN: 9781403941558
PURE UUID: 4d7cc07f-6b5b-45db-95df-8636b11f7214
ORCID for Jean-Yves Pitarakis: ORCID iD orcid.org/0000-0002-6305-7421

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Date deposited: 15 May 2006
Last modified: 06 Aug 2022 01:38

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Contributors

Author: Jesus Gonzalo
Editor: C. Mills Terence
Editor: Kerry Patterson

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