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dc.contributor.authorNETŠUNAJEV, Aleksei
dc.date.accessioned2012-04-02T09:01:34Z
dc.date.available2012-04-02T09:01:34Z
dc.date.issued2012
dc.identifier.issn1725-6704
dc.identifier.urihttp://hdl.handle.net/1814/21475
dc.descriptionThe author of this EUI Working Paper was awarded the 2012 scientific prize in memory of Urmas Sepp of the Bank of Estonia.
dc.description.abstractThe paper reconsiders the conflicting results in the debate connected to the effects of technology shocks on hours worked in the bivariate system. Given major dissatisfaction with the just-identifying long-run restrictions, I analyze whether the restrictions used in the literature are consistent with the data. Modeling volatility of shocks using Markov switching structure allows to obtain additional identifying information and perform tests of the restrictions that were just-identifying in classical structural vector autoregression analysis. Using four datasets where hours worked are modeled differently, I find that the standard restriction, identifying the technology shocks as the only sources of variation in labor productivity, has major support by the data. Taking into account important low frequency movements in the hours worked series yields a result consistent with the recent findings: hours decline in response to a positive technology shock. I also show that the use of a standard Hodrick-Prescott filter may be problematic in the context.en
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.relation.ispartofseriesEUI ECOen
dc.relation.ispartofseries2012/13en
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectTechnology shocksen
dc.subjectMarkov switching modelen
dc.subjectheteroskedasticityen
dc.subjectC32en
dc.titleReaction to Technology Shocks in Markov-Switchings Structural VARs: Identification via heteroskedasticityen
dc.typeWorking Paperen
dc.neeo.contributorNETŠUNAJEV|Aleksei|aut|
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