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MSE dominance of least squares with errors-of-observation

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  • Aigner, D. J.

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  • Aigner, D. J., 1974. "MSE dominance of least squares with errors-of-observation," Journal of Econometrics, Elsevier, vol. 2(4), pages 365-372, December.
  • Handle: RePEc:eee:econom:v:2:y:1974:i:4:p:365-372
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    Cited by:

    1. Ramses H. ABUL NAGA, 2000. "Galtonian Regression of Intergenerational Income Linkages : Biased Procedures, a New Estimator and Mean-Square Error Comparisons," Cahiers de Recherches Economiques du Département d'économie 00.13, Université de Lausanne, Faculté des HEC, Département d’économie.
    2. Michael Koetter, 2006. "Measurement Matters—Alternative Input Price Proxies for Bank Efficiency Analyses," Journal of Financial Services Research, Springer;Western Finance Association, vol. 30(2), pages 199-227, October.
    3. Deniz Ünal, 2010. "The effects of the proxy information on the iterative Stein-rule estimator of the disturbance variance," Statistical Papers, Springer, vol. 51(2), pages 477-484, June.
    4. Sonja C. Kassenboehmer & Stefanie Schurer, 2018. "Survey item-response behavior as an imperfect proxy for unobserved ability: Theory and application," Working Papers 2018-035, Human Capital and Economic Opportunity Working Group.
    5. Webb, Ryan & Mehta, Nitin & Levy, Ifat, 2021. "Assessing consumer demand with noisy neural measurements," Journal of Econometrics, Elsevier, vol. 222(1), pages 89-106.
    6. Lopez-Calix, Jose R., 1998. "Are Pick data on parallel exchange rates misleading?," Economics Letters, Elsevier, vol. 59(2), pages 223-230, May.
    7. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    8. de New, Sonja C. & Schurer, Stefanie & Leung, Felix, 2015. "Testing the Validity of Item Non-Response as a Proxy for Cognitive and Non-Cognitive Skills," IZA Discussion Papers 8874, Institute of Labor Economics (IZA).
    9. Sessions, David N. & Stevans, Lonnie K., 2006. "Investigating omitted variable bias in regression parameter estimation: A genetic algorithm approach," Computational Statistics & Data Analysis, Elsevier, vol. 50(10), pages 2835-2854, June.

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