A generalized method of moments estimator for structural vector autoregressions based on higher moments

dc.contributor.authorKeweloh, Alexander Sascha
dc.date.accessioned2019-09-11T15:31:03Z
dc.date.available2019-09-11T15:31:03Z
dc.date.issued2019-09-11
dc.description.abstractI propose a generalized method of moments estimator for structural vector autoregressions with independent and non-Gaussian shocks. The shocks are identified by exploiting information contained in higher moments of the data. Extending the standard identification approach, which relies on the covariance, to the coskewness and cokurtosis allows to identify and estimate the simultaneous interaction without any further restrictions. I analyze the finite sample properties of the estimator and apply it to illustrate the simultaneous interaction between economic activity, oil and stock prices.en
dc.identifier.urihttp://hdl.handle.net/2003/38224
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-20203
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB823;36/2018
dc.relation.replaceshttp://hdl.handle.net/2003/37837
dc.subjectnon-gaussianen
dc.subjectindependenceen
dc.subjectidentifcationen
dc.subjectoil pricesen
dc.subjectstock returnsen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleA generalized method of moments estimator for structural vector autoregressions based on higher momentsen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access
eldorado.secondarypublicationfalsede

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