The Equality of OLS and GLS Estimators in the Linear Regression Model When the Disturbances are Spatially Correlated

dc.contributor.author	Gotu, Butte	de
dc.date.accessioned	2004-12-06T18:38:06Z
dc.date.available	2004-12-06T18:38:06Z
dc.date.issued	1998	de
dc.description.abstract	Necessary and sufficient conditions for the equality of ordinary least squares and generalized least squares estimators in the linear regression model with fifirst-order spatial error processes are given.	en
dc.format.extent	147771 bytes
dc.format.extent	163549 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	application/postscript
dc.identifier.uri	http://hdl.handle.net/2003/4823
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-15060
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject	best linear unbiased estimator	en
dc.subject	generalized least squares	en
dc.subject	ordinary least squares	en
dc.subject	spatial correlation	en
dc.subject	spatial error process	en
dc.subject.ddc	310	de
dc.title	The Equality of OLS and GLS Estimators in the Linear Regression Model When the Disturbances are Spatially Correlated	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access

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