SMALL SAMPLE PROPERTIES OF R-SQUARED WHEN A PRE-TEST FOR LINEAR RESTRICTIONS ON REGRESSION COEFFICIENTS IS CONDUCTED

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In this paper, we examine the small sample properties of the coefficient of determination (say, R^2) when a model is selected by a pre-test for linear restrictions on regression coefficients. We derive the general formula for the moment of the pre-test estimator for R^2, and compare the bias and MSE of the pre-test estimator for R^2 with those of the usual R^2. Our numerical results show that although the bias of the pre-test estimator for R^2 is smaller than that of the usual R^2, the MSE performance depends on the size of the pre-test.

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詳細情報 詳細情報について

  • CRID
    1390009224929547776
  • NII論文ID
    110005859509
    120005476652
  • NII書誌ID
    AA00261065
  • DOI
    10.24546/81000935
  • HANDLE
    20.500.14094/81000935
  • ISSN
    04541111
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • IRDB
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用可

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