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dc.contributor.author오만숙-
dc.contributor.author신동완-
dc.date.accessioned2016-08-28T12:08:48Z-
dc.date.available2016-08-28T12:08:48Z-
dc.date.issued2010-
dc.identifier.issn0266-4763-
dc.identifier.otherOAK-6998-
dc.identifier.urihttp://dspace.ewha.ac.kr/handle/2015.oak/221122-
dc.description.abstractA Bayesian approach is considered for identifying sources of nonstationarity for models with a unit root and breaks. Different types of multiple breaks are allowed through crash models, changing growth models, and mixed models. All possible nonstationary models are represented by combinations of zero or nonzero parameters associated with time trends, dummy for breaks, or previous levels, for which Bayesian posterior probabilities are computed. Multiple tests based on Markov chain Monte Carlo procedure sare implemented. The proposed method is applied to a real data set, the Korean GDP data set, showing a strong evidence for two breaks rather than the usual unit root or one break. © 2010 Taylor & Francis.-
dc.languageEnglish-
dc.titleBayesian tests for unit root and multiple breaks-
dc.typeArticle-
dc.relation.issue11-
dc.relation.volume37-
dc.relation.indexSCIE-
dc.relation.indexSCOPUS-
dc.relation.startpage1863-
dc.relation.lastpage1874-
dc.relation.journaltitleJournal of Applied Statistics-
dc.identifier.doi10.1080/02664760903173450-
dc.identifier.wosidWOS:000283315100006-
dc.identifier.scopusid2-s2.0-77958569831-
dc.author.googleOh M.-S.-
dc.author.googleShin D.W.-
dc.contributor.scopusid오만숙(7201600334)-
dc.contributor.scopusid신동완(7403352539)-
dc.date.modifydate20170601134935-
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자연과학대학 > 통계학전공 > Journal papers
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