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On the asymptotic distribution of the quadratic GMM estimator of a dynamic panel data model under a unit root

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dc.contributor.authorGorgens, Tue-
dc.contributor.authorHan, Chirok-
dc.contributor.authorXue, Sen-
dc.date.accessioned2021-08-30T07:03:50Z-
dc.date.available2021-08-30T07:03:50Z-
dc.date.created2021-06-19-
dc.date.issued2020-12-
dc.identifier.issn0165-1765-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/51314-
dc.description.abstractThis paper considers the GMM estimator, alpha, of the autoregressive parameter in linear dynamic panel data models with fixed effects when the data-generating process has a unit root. Previous literature has established that the limit distribution of n(1/4)(alpha - 1) is degenerate and nondegenerate each with probability 1/2. We sharpen this result by showing that the limit distribution of n(1/2)(alpha - 1) is nondegenerate when n(1/4)(alpha - 1) converges in probability to 0, and we characterize the limit distribution which is nonstandard. (C) 2020 Published by Elsevier B.V.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE SA-
dc.titleOn the asymptotic distribution of the quadratic GMM estimator of a dynamic panel data model under a unit root-
dc.typeArticle-
dc.contributor.affiliatedAuthorHan, Chirok-
dc.identifier.doi10.1016/j.econlet.2020.109605-
dc.identifier.scopusid2-s2.0-85092499798-
dc.identifier.wosid000600839700024-
dc.identifier.bibliographicCitationECONOMICS LETTERS, v.197-
dc.relation.isPartOfECONOMICS LETTERS-
dc.citation.titleECONOMICS LETTERS-
dc.citation.volume197-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBusiness & Economics-
dc.relation.journalWebOfScienceCategoryEconomics-
dc.subject.keywordAuthorDynamic panel data models-
dc.subject.keywordAuthorFixed effects-
dc.subject.keywordAuthorGeneralized method of moments-
dc.subject.keywordAuthorQuadratic moment restrictions-
dc.subject.keywordAuthorNonstandard limiting distributions-
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