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 |
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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 |