Journal article
THE THEORY OF MIXED ESTIMATION IN ECONOMETRIC MODELING
Studies in economics and finance (Charlotte, N.C.), Vol.10(1), pp.79-120
01/01/1986
Handle:
https://hdl.handle.net/2376/116496
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.
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Details
- Title
- THE THEORY OF MIXED ESTIMATION IN ECONOMETRIC MODELING
- Creators
- ROGER N CONWAY - Conway is an Agricultural Economist with E.R.S., U.S.D.ARON C MITTELHAMMER - Hittelhammer is an Associate Professor of Agricultural Economics at Washington State University
- Publication Details
- Studies in economics and finance (Charlotte, N.C.), Vol.10(1), pp.79-120
- Academic Unit
- Economic Sciences, School of
- Publisher
- MCB UP Ltd
- Identifiers
- 99900547756201842
- Language
- English
- Resource Type
- Journal article