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The mixture properties of the 2SHI estimators in linear regression models

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  • Van Hoa, Tran

Abstract

The paper derives the family of double k-class estimators (Ullah and Ullah, 1978) as a subset of the mixture-type two-stage hierarchial-information (2SHI) estimators (Tran Van Hoa, 1985) in the general linear regression model, and provides a formal justification for the double k-class estimators in terms of additional data-based informational content. Small-sample properties derived from a simulation study of the 2SHI estimators in relation to their subsets in the positive-part parameter space are also presented.

Suggested Citation

  • Van Hoa, Tran, 1993. "The mixture properties of the 2SHI estimators in linear regression models," Statistics & Probability Letters, Elsevier, vol. 16(2), pages 111-115, January.
    • Handle: RePEc:eee:stapro:v:16:y:1993:i:2:p:111-115
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    Cited by:

    1. Tran Van Hoa, 2000. "Recent Significant Advances in Estimating and Forecasting Theories and Economic Modelling: With Applications to Asian Investment Studies," Economics Working Papers wp00-01, School of Economics, University of Wollongong, NSW, Australia.
    2. Tran Van Hoa, 2003. "New Asian Regionalism: Evidence of ASEAN+3 Free Trade Agreement From Extended Gravity Theory and New Modelling Approach," Economics Working Papers wp03-03, School of Economics, University of Wollongong, NSW, Australia.
    3. Akio Namba, 2001. "MSE performance of the 2SHI estimator in a regression model with multivariate t error terms," Statistical Papers, Springer, vol. 42(1), pages 81-96, January.
    4. Tran Van Hoa, 2002. "WTO Membership for China and Its Impact on Growth, Investment and Consumption: A New Flexible Keynesian Approach," Economics Working Papers wp02-04, School of Economics, University of Wollongong, NSW, Australia.
    5. Tran Van Hoa, 2003. "Growth of Asian Regional Trade and Income Convergence: Evidence from ASEAN+3 Based on Extended Helpman-Krugman Hypothesis and Flexible Modelling Approach," Economics Working Papers wp03-02, School of Economics, University of Wollongong, NSW, Australia.

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