Alternative size corrections for some GLS test statistics: The case of the AR(1) model

dc.contributor.authorSymeonides, S.en
dc.contributor.authorMagdalinos, A.en
dc.date.accessioned2015-11-24T17:05:11Z
dc.date.available2015-11-24T17:05:11Z
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/11278
dc.rightsDefault Licence-
dc.subjectErrors, Cornish-Fisher corrections, Edgeworth approximations, Linear regression, Monte Carloen
dc.titleAlternative size corrections for some GLS test statistics: The case of the AR(1) modelen
heal.abstractAlternative size corrections are developed for the t and F tests in the AR(l) normal linear model. Edgeworth corrected critical values are obtained from normal, Student-t, chi-square, and F distributions. Alternatively, we may use Cornish-Fisher corrected test statistics to avoid the problem of negative tail " probabilities" of an Edgeworth " distribution" . The use of the exact distributions (Student-t, F) results in approximations that are locally exact, i.e., they reduce to the exact formulae for a sufficient simplification of the model. Monte Carlo findings support the theoretical considerations in favour of the locally exact Cornish-Fisher corrections.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.journalNameJournal of Econometricsen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate1995-
heal.publisherElsevieren
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Οικονομικών και Κοινωνικών Επιστημών. Τμήμα Οικονομικών Επιστημώνel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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