Asymptotic Power Advantages of Long-Horizon Regressions

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dc.contributor.author Mark, Nelson en
dc.contributor.author Sul, Donggyu en
dc.date.accessioned 2006-11-30T20:53:19Z en
dc.date.available 2006-11-30T20:53:19Z en
dc.date.issued 2002 en
dc.identifier.citation Department of Economics Working Paper Series 239 en
dc.identifier.uri http://hdl.handle.net/2292/145 en
dc.description.abstract Local asymptotic power advantages are available for testing the hypothesis that the slope coefficient is zero in regressions of yt+k- yton xtfor k > 1, when { yt} ~ I(0) and {xt} ~ I(0). The advantages of these long-horizon regression tests accrue in empirically relevant regions of the admissible parameter space. In Monte Carlo experiments, small sample power advantages to long-horizon regression tests accrue in a region of the parameter space that is larger than that predicted by the asymptotic analysis. en
dc.format.extent application/pdf en
dc.format.mimetype text en
dc.language.iso en en
dc.publisher ResearchSpace@Auckland en
dc.relation.ispartofseries Department of Economics Working Paper Series (1997-2006) en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.subject.other Economics en
dc.title Asymptotic Power Advantages of Long-Horizon Regressions en
dc.type Working Paper en
dc.rights.holder Copyright: the author en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.org-id Economics en


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