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dc.contributor.authorHarrison, M. J.
dc.contributor.authorBond, D.
dc.date.accessioned2013-05-13T14:31:54Z
dc.date.available2013-05-13T14:31:54Z
dc.date.issued1992
dc.identifier.citationHarrison, M. J.; Bond, D.. 'Testing and estimation in unstable dynamic models: A case study'. - Economic & Social Review, Vol. 24, No.1, October, 1992, pp. 25-49, Dublin: Economic & Social Research Institute
dc.identifier.issn0012-9984
dc.identifier.otherJEL XXX
dc.description.abstractThis paper discusses testing for parameter instability and estimation of time-varying parameters in the context of the Engle-Granger (1987) procedure. It reviews several developments in testing, in particular the new test by Bai, Lumsdaine and Stock (1991) for use in vector autoregression and error-correction models; it gives an account of the Kalman nIter estimation technique; and it examines a variety of methodological matters. To illustrate the methods and issues raised, an example concerning the estimation of regional exployment multipliers for Northern Ireland is presented. The paper concludes with some remarks and recommendations for applied work in economics.en
dc.language.isoen
dc.publisherEconomic & Social Studies
dc.sourceEconomic & Social Reviewen
dc.subjectstatistical methodsen
dc.subjectmodelingen
dc.subjectestimationen
dc.subjectapplied economicsen
dc.titleTesting and estimation in unstable dynamic models: A case study
dc.typeJournal Article
dc.publisher.placeDublinen
dc.identifier.urihttp://hdl.handle.net/2262/66538


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