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dc.contributor.authorKeating, John W.
dc.date.accessioned2006-08-11T19:54:40Z
dc.date.available2006-08-11T19:54:40Z
dc.date.issued2002-04
dc.identifier.citationKeating, John W. Structural inference with long-run recursive empirical models. MACROECONOMIC DYNAMICS. April 2002. 6(2) : 266-283
dc.identifier.otherhttp://journals.cambridge.org/action/displayJournal?jid=MDY
dc.identifier.urihttp://hdl.handle.net/1808/1033
dc.description.abstractThis paper investigates conditions under which a long-run recursive model can be used to identify a structure. Economists frequently employ this type of empirical model. I define the class of long-run partially recursive structures. If an economic system is a member of this class, then certain long-run recursive empirical models will obtain some of the structural impulse response functions. This sufficient condition for a structure is first shown in a vector autoregression. A well-known example from the literature is used to illustrate this particular class of structures and to present some useful applications of the result. Then the result is shown in models of cointegrated time series. Necessary conditions for a long-run recursive model to identify structure are addressed in the conclusion.
dc.format.extent129499 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherCambridge University Press
dc.subjectLong-run multiplier
dc.subjectLong-run partially recursive structure
dc.subjectMoving average representation
dc.subjectVector autoregression
dc.subjectCointegration
dc.titleStructural inference with long-run recursive empirical models
dc.typeArticle
dc.rights.accessrightsopenAccess


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