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Stein-rule least squares estimation : A heuristic for fallible data

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  • Stanley, T. D.

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  • Stanley, T. D., 1986. "Stein-rule least squares estimation : A heuristic for fallible data," Economics Letters, Elsevier, vol. 20(2), pages 147-150.
    • Handle: RePEc:eee:ecolet:v:20:y:1986:i:2:p:147-150
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    Cited by:

    1. T. D. Stanley, 2004. "Does unemployment hysteresis falsify the natural rate hypothesis? a meta‐regression analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 18(4), pages 589-612, September.
    2. T.D. Stanley & Ann Robinson, 1990. "Sifting Statistical Significance From the Artifact of Regression- Discontinuity Design," Evaluation Review, , vol. 14(2), pages 166-181, April.
    3. Liang, Hua & Song, Weixing, 2009. "Improved estimation in multiple linear regression models with measurement error and general constraint," Journal of Multivariate Analysis, Elsevier, vol. 100(4), pages 726-741, April.
    4. Kim, H.M. & Saleh, A.K.Md.Ehsanes, 2005. "Improved estimation of regression parameters in measurement error models," Journal of Multivariate Analysis, Elsevier, vol. 95(2), pages 273-300, August.
    5. T.D. Stanley, 1991. ""Regression-Discontinuity Design" By Any Other Name Might Be Less Problematic," Evaluation Review, , vol. 15(5), pages 605-624, October.
    6. T. D. Stanley & Stephen B. Jarrell, 2005. "Meta‐Regression Analysis: A Quantitative Method of Literature Surveys," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 299-308, July.

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