Testing for nonlinear cointegration under heteroskedasticity

dc.contributor.authorHanck, Christoph
dc.contributor.authorMassing, Till
dc.date.accessioned2020-09-25T11:49:42Z
dc.date.available2020-09-25T11:49:42Z
dc.date.issued2020
dc.description.abstractThis article discusses cointegration tests for nonlinear cointegration in the presence of variance breaks in the errors. We build on approaches of Cavaliere and Taylor (2006, Journal of Time Series Analysis) for heteroskedastic cointegration tests and of Choi and Saikkonen (2010, Econometric Theory) for nonlinear cointegration tests. We propose a bootstrap test and prove its consistency. A Monte Carlo study shows the approach to have appealing finite sample properties and to work better than an approach using subresiduals. We provide an empirical application to the environmental Kuznets curves (EKC), finding that the cointegration tests do not reject the EKC hypothesis in most cases.en
dc.identifier.urihttp://hdl.handle.net/2003/39533
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-21425
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB823;26/2020en
dc.subjectnonlinear cointegration testsen
dc.subjectfixed regressor bootstrapen
dc.subjectvariance breaksen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleTesting for nonlinear cointegration under heteroskedasticityen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access
eldorado.secondarypublicationfalsede

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