Asymptotic Equivalence of Ordinary Least Squares and Generalized Least Squares with Trending Regressors and Stationary Autoregressive Disturbances

dc.contributor.author	Krämer, Walter	de
dc.date.accessioned	2004-12-06T18:38:00Z
dc.date.available	2004-12-06T18:38:00Z
dc.date.issued	1997	de
dc.description.abstract	This note generalizes previous results on the asymptotic equivalence of Ordinary and Generalized Least Squares estimates in Linear Regression models with trending data.	en
dc.format.extent	111874 bytes
dc.format.extent	76239 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	application/postscript
dc.identifier.uri	http://hdl.handle.net/2003/4817
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-6719
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject.ddc	310	de
dc.title	Asymptotic Equivalence of Ordinary Least Squares and Generalized Least Squares with Trending Regressors and Stationary Autoregressive Disturbances	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access
eldorado.dnb.deposit	true

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