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Improved estimation of the disturbance variance in a linear regression model

Publication ,  Journal Article
Gelfand, AE; Dey, DK
Published in: Journal of Econometrics
January 1, 1988

In this paper we consider estimation of the disturbance variance in a linear regression model. A new class of improved estimators is obtained by extending results dating to Stein (1964). These estimators dominate the ordinary least squares estimator under squared error loss. © 1988.

Duke Scholars

Published In

Journal of Econometrics

DOI

ISSN

0304-4076

Publication Date

January 1, 1988

Volume

39

Issue

3

Start / End Page

387 / 395

Related Subject Headings

  • Econometrics
  • 4905 Statistics
  • 3802 Econometrics
  • 3801 Applied economics
  • 1403 Econometrics
  • 1402 Applied Economics
  • 0104 Statistics
 

Citation

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ICMJE
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Gelfand, A. E., & Dey, D. K. (1988). Improved estimation of the disturbance variance in a linear regression model. Journal of Econometrics, 39(3), 387–395. https://doi.org/10.1016/0304-4076(88)90065-6
Gelfand, A. E., and D. K. Dey. “Improved estimation of the disturbance variance in a linear regression model.” Journal of Econometrics 39, no. 3 (January 1, 1988): 387–95. https://doi.org/10.1016/0304-4076(88)90065-6.
Gelfand AE, Dey DK. Improved estimation of the disturbance variance in a linear regression model. Journal of Econometrics. 1988 Jan 1;39(3):387–95.
Gelfand, A. E., and D. K. Dey. “Improved estimation of the disturbance variance in a linear regression model.” Journal of Econometrics, vol. 39, no. 3, Jan. 1988, pp. 387–95. Scopus, doi:10.1016/0304-4076(88)90065-6.
Gelfand AE, Dey DK. Improved estimation of the disturbance variance in a linear regression model. Journal of Econometrics. 1988 Jan 1;39(3):387–395.
Journal cover image

Published In

Journal of Econometrics

DOI

ISSN

0304-4076

Publication Date

January 1, 1988

Volume

39

Issue

3

Start / End Page

387 / 395

Related Subject Headings

  • Econometrics
  • 4905 Statistics
  • 3802 Econometrics
  • 3801 Applied economics
  • 1403 Econometrics
  • 1402 Applied Economics
  • 0104 Statistics