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

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DC Field	Value	Language
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.identifier.uri	http://hdl.handle.net/2003/4817	-
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-6719	-
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.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	-
Appears in Collections:	Sonderforschungsbereich (SFB) 475

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