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dc.contributor.authorDe Jong, Robert M.en_GB
dc.contributor.authorDavidson, Jamesen_GB
dc.contributor.departmentMichigan State University; Cardiff University (now at University of Exeter)en_GB
dc.date.accessioned2008-07-16T11:47:36Zen_GB
dc.date.accessioned2011-01-25T10:25:47Zen_GB
dc.date.accessioned2013-03-19T15:51:46Z
dc.date.issued2000-10en_GB
dc.description.abstractThis paper gives new conditions for the functional central limit theorem, and weak convergence of stochastic integrals, for near-epoch-dependent functions of mixing processes. These results have fundamental applications in the theory of unit root testing and cointegrating regressions. The conditions given improve on existing results in the literature in terms of the amount of dependence and heterogeneity permitted, and in particular, these appear to be the first such theorems in which virtually the same assumptions are sufficient for both modes of convergence.en_GB
dc.identifier.citationEconometric Theory, Vol. 16 (5) October 2000, pp 621-642en_GB
dc.identifier.urihttp://hdl.handle.net/10036/32135en_GB
dc.language.isoenen_GB
dc.publisherCambridge University Pressen_GB
dc.relation.urlhttp://journals.cambridge.org/action/displayJournal?jid=ECTen_GB
dc.subjectcentral limit theoremen_GB
dc.subjectstochastic integralsen_GB
dc.titleThe functional central limit theorem and weak convergence to stochastic integrals I: weakly dependent processesen_GB
dc.typeArticleen_GB
dc.date.available2008-07-16T11:47:36Zen_GB
dc.date.available2011-01-25T10:25:47Zen_GB
dc.date.available2013-03-19T15:51:46Z
dc.identifier.issn0266-4666en_GB
dc.descriptionPre-print; version dated May 1999en_GB
dc.identifier.journalEconometric Theoryen_GB


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