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Econometrica Vol. 50 No. 2 1982

An Improved Version of the Quandt-Ramsey MGF Estimator for Mixtures of Normal Distributions and Switching Regressions

Peter Schmidt

Abstract

Quandt and Ramsey have suggested an estimator for normal mixtures and switching regressions, which minimizes a sum of squared differences between empirical and theoretical values of the moment generating function. This paper demonstrates how their estimator can be improved by minimizing a generalized sum of squares rather than an ordinary sum of squares. When this is done, more points of evaluation (moments) are unambiguously better than less. Most of the results presented are also applicable to method of moments estimators in general.

DOI
10.2307/1912640
Volume
50
Issue
2
Pages
501
Sources
bibtex:phds-export.bib openalex crossref

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