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THE THEORY OF MIXED ESTIMATION IN ECONOMETRIC MODELING

ROGER N. CONWAY (Conway is an Agricultural Economist with E.R.S., U.S.D.A.)
RON C. MITTELHAMMER (Hittelhammer is an Associate Professor of Agricultural Economics at Washington State University)

Studies in Economics and Finance

ISSN: 1086-7376

Article publication date: 1 January 1986

146

Abstract

In the last two decades there has been considerable progress made in the development of alternative estimation techniques to ordinary least squares (OLS) regression. The search for alternative estimators has no doubt been motivated by the observance of erratic OLS estimator behavior in cases where there are too few observations, multicollinearity problems, or simply “information‐poor” data sets. Imprecise and unreliable OLS coefficient estimates have been the result.

Citation

CONWAY, R.N. and MITTELHAMMER, R.C. (1986), "THE THEORY OF MIXED ESTIMATION IN ECONOMETRIC MODELING", Studies in Economics and Finance, Vol. 10 No. 1, pp. 79-120. https://doi.org/10.1108/eb028665

Publisher

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MCB UP Ltd

Copyright © 1986, MCB UP Limited

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