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MSE performance of the weighted average estimators consisting of shrinkage estimators when each individual regression coefficient is estimated

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  • Haifeng Xu
  • Akio Namba

Abstract

In this paper, we analytically derive the exact formula for the mean squared error (MSE) of two weighted average (WA) estimators for each individual regression coefficient. Further, we execute numerical evaluations to investigate small sample properties of the WA estimators, and compare the MSE performance of the WA estimators with the other shrinkage estimators and the usual OLS estimator. Our numerical results show that (1) the WA estimators have smaller MSE than the other shrinkage estimators and the OLS estimator over a wide region of parameter space; (2) the range where the relative MSE of the WA estimator is smaller than that of the OLS estimator gets narrower as the number of explanatory variables k increases.

Suggested Citation

  • Haifeng Xu & Akio Namba, 2019. "MSE performance of the weighted average estimators consisting of shrinkage estimators when each individual regression coefficient is estimated," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 48(13), pages 3280-3290, July.
    • Handle: RePEc:taf:lstaxx:v:48:y:2019:i:13:p:3280-3290
    DOI: 10.1080/03610926.2018.1475569
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