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dc.contributor.author소병수-
dc.date.accessioned2016-12-06T02:12:21Z-
dc.date.available2016-12-06T02:12:21Z-
dc.date.issued2008-
dc.identifier.issn1350-4851-
dc.identifier.otherOAK-5110-
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/232974-
dc.description.abstractWe propose new tests for cointegration based on signs of the residuals of the conventional t-test. Our tests have the limiting normal distribution under the null hypothesis and are robust to heavy tailed disturbances. A Monte-Carlo simulation shows the new tests have a stable size property and are locally more powerful than that of Engle and Granger (1987) for heavy tailed error distribution.-
dc.languageEnglish-
dc.titleA new robust sign test for cointegration-
dc.typeArticle-
dc.relation.issue12-
dc.relation.volume15-
dc.relation.indexSSCI-
dc.relation.indexSCOPUS-
dc.relation.startpage971-
dc.relation.lastpage974-
dc.relation.journaltitleApplied Economics Letters-
dc.identifier.doi10.1080/13504850600972287-
dc.identifier.wosidWOS:000259761900013-
dc.identifier.scopusid2-s2.0-53749101692-
dc.author.googleOh Y.-
dc.author.googleSo B.S.-
dc.contributor.scopusid소병수(7005199584)-
dc.date.modifydate20211102105704-
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자연과학대학 > 통계학전공 > Journal papers
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