Abstract
We give a neccessary and sufficient condition for the equality of theOLS andGLS estimator of a subset of the regression coefficients in a linear model.
Similar content being viewed by others
References
Fiebig, Denzil G.;McAleer, Michael andBartels, Robert (1992): Properties of ordinary least squares estimators in regression models with nonspherical disturbances.Journal of Econometrics 54, 321–334.
Gourieroux, Christian andMontfort, Alain (1980): Sufficient linear structures: Econometric application.Econometrica 48, 1083–1097.
Krämer, Walter (1980): A note on the equality of ordinary least squares and Gauss-Markov estimates in the general model.Sankhya A, 130–131.
Kruskal, William (1968): When are Gauss-Markov and least squares estimators identical? A coordinate-free approach.Annals of Mathematical Statistics 39, 70–75.
Puntanen, Simo andStyan, George P.H. (1989): The equality of the ordinary least squares estimator and the best linear unbiased estimator (with discussion).The American Statistician 43, 153–163.
Author information
Authors and Affiliations
Additional information
Research supported by Volkswagenstiftung (Krämer). We are grateful to Götz Trenkler and an anonymous referee for helpful discussions and comments.
Rights and permissions
About this article
Cite this article
Krämer, W., Bartels, R. & Fiebig, D.G. Another twist on the equality of OLS and GLS. Statistical Papers 37, 277–281 (1996). https://doi.org/10.1007/BF02926589
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/BF02926589