Partial cointegrated vector autoregressive models with structural breaks in deterministic terms

This paper proposes a class of partial cointegrated models allowing for structural breaks in the deterministic terms. Moving-average representations of the models are given. It is then shown that, under the assumption of martingale difference innovations, the limit distributions of partial quasi-lik...

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Huvudupphovsmän: Kurita, T, Nielsen, B
Materialtyp: Journal article
Språk:English
Publicerad: MDPI 2019
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author Kurita, T
Nielsen, B
author_facet Kurita, T
Nielsen, B
author_sort Kurita, T
collection OXFORD
description This paper proposes a class of partial cointegrated models allowing for structural breaks in the deterministic terms. Moving-average representations of the models are given. It is then shown that, under the assumption of martingale difference innovations, the limit distributions of partial quasi-likelihood ratio tests for cointegrating rank have a close connection to those for standard full models. This connection facilitates a response surface analysis that is required to extract critical information about moments from large-scale simulation studies. An empirical illustration of the proposed methodology is also provided.
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spelling oxford-uuid:f84fcf21-a987-47b4-bc09-a7e02b23374b2022-03-27T12:49:16ZPartial cointegrated vector autoregressive models with structural breaks in deterministic termsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:f84fcf21-a987-47b4-bc09-a7e02b23374bEnglishSymplectic Elements at OxfordMDPI2019Kurita, TNielsen, BThis paper proposes a class of partial cointegrated models allowing for structural breaks in the deterministic terms. Moving-average representations of the models are given. It is then shown that, under the assumption of martingale difference innovations, the limit distributions of partial quasi-likelihood ratio tests for cointegrating rank have a close connection to those for standard full models. This connection facilitates a response surface analysis that is required to extract critical information about moments from large-scale simulation studies. An empirical illustration of the proposed methodology is also provided.
spellingShingle Kurita, T
Nielsen, B
Partial cointegrated vector autoregressive models with structural breaks in deterministic terms
title Partial cointegrated vector autoregressive models with structural breaks in deterministic terms
title_full Partial cointegrated vector autoregressive models with structural breaks in deterministic terms
title_fullStr Partial cointegrated vector autoregressive models with structural breaks in deterministic terms
title_full_unstemmed Partial cointegrated vector autoregressive models with structural breaks in deterministic terms
title_short Partial cointegrated vector autoregressive models with structural breaks in deterministic terms
title_sort partial cointegrated vector autoregressive models with structural breaks in deterministic terms
work_keys_str_mv AT kuritat partialcointegratedvectorautoregressivemodelswithstructuralbreaksindeterministicterms
AT nielsenb partialcointegratedvectorautoregressivemodelswithstructuralbreaksindeterministicterms