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dc.contributor.authorSmeekes, Stephanen
dc.contributor.authorCavaliere, Giuseppeen
dc.contributor.authorPolitis, Dimitris Nicolasen
dc.contributor.authorRahbek, Andersen
dc.creatorSmeekes, Stephanen
dc.creatorCavaliere, Giuseppeen
dc.creatorPolitis, Dimitris Nicolasen
dc.creatorRahbek, Andersen
dc.date.accessioned2019-12-02T10:38:12Z
dc.date.available2019-12-02T10:38:12Z
dc.date.issued2014
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/57608
dc.source.urihttps://nls.ldls.org.uk/welcome.html?lsidyv921893f2
dc.titleBootstrap Sequential Tests to Determine the Order of Integration of Individual Units in A Time Series Panelen
dc.typeinfo:eu-repo/semantics/article
dc.description.startingpage1
dc.description.endingpageonline
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtypeArticleen
dc.description.notes<p>ID: 1000en
dc.description.notesIn: JOURNAL OF TIME SERIES ANALYSIS volume 36 issue 3 page 398.en
dc.description.notesSummary: Abstract We propose an approach to investigate the unit root properties of individual units in a time series panel or large multivariate time series, based on testing user‐defined increasing proportions of hypothesized I(0) units sequentially. Asymptotically valid critical values are obtained using the block bootstrap. This sequential approach has an advantage over multiple testing approaches as it can exploit the (cross‐sectional) dimension of the system, which the multiple testing approaches cannot do effectively. A simulation study and an empirical application are conducted to analyse the relative performance of the approach in comparison with multiple testing approaches. These demonstrate the usefulness of our method, in particular in systems with a relatively small time dimension..</p>en
dc.contributor.orcidCavaliere, Giuseppe [0000-0002-2856-0005]
dc.gnosis.orcid0000-0002-2856-0005


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