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Optimality of the Stein-Type Estimator for Variance

Optimality of the Stein-Type Estimator for Variance Abstract This paper considers the optimality of the Stein-type estimator of the disturbance variance among the class of pre-test estimators after the pre-test for a linear hypothesis on coefficients. The Stein-type estimator is a member in this class with a critical value, say cs. It is known that the Stein-type estimator is the best in the subclass which consists of the pre-test estimators with smaller critical values than cs. It is analytically shown that an extension of the optimality to a larger class is not possible. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Japanese Economic Review Springer Journals

Optimality of the Stein-Type Estimator for Variance

The Japanese Economic Review , Volume 48 (1): 5 – Mar 1, 1997

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References (5)

Publisher
Springer Journals
Copyright
1997 Japanese Economic Association
ISSN
1352-4739
eISSN
1468-5876
DOI
10.1111/1468-5876.00040
Publisher site
See Article on Publisher Site

Abstract

Abstract This paper considers the optimality of the Stein-type estimator of the disturbance variance among the class of pre-test estimators after the pre-test for a linear hypothesis on coefficients. The Stein-type estimator is a member in this class with a critical value, say cs. It is known that the Stein-type estimator is the best in the subclass which consists of the pre-test estimators with smaller critical values than cs. It is analytically shown that an extension of the optimality to a larger class is not possible.

Journal

The Japanese Economic ReviewSpringer Journals

Published: Mar 1, 1997

Keywords: economics, general; microeconomics; macroeconomics/monetary economics//financial economics; econometrics; development economics; economic history

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