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Comparing the predictive powers of alternative multiple regression models

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  • Michael Hagerty
  • V. Srinivasan

Abstract

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Suggested Citation

  • Michael Hagerty & V. Srinivasan, 1991. "Comparing the predictive powers of alternative multiple regression models," Psychometrika, Springer;The Psychometric Society, vol. 56(1), pages 77-85, March.
  • Handle: RePEc:spr:psycho:v:56:y:1991:i:1:p:77-85
    DOI: 10.1007/BF02294587
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    References listed on IDEAS

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    1. Cramer, J. S., 1987. "Mean and variance of R2 in small and moderate samples," Journal of Econometrics, Elsevier, vol. 35(2-3), pages 253-266, July.
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    1. Mishra, Sanjay & Umesh, U. N., 2005. "Determining the quality of conjoint analysis results using violation of a priori signs," Journal of Business Research, Elsevier, vol. 58(3), pages 301-311, March.
    2. Mirpourian, Mehrdad, 2020. "Building a Habit: How Initial Saving Activity Predicts Long-term Account Engagement," MPRA Paper 103061, University Library of Munich, Germany.
    3. Alexander Dilger & Thomas Gehrig & Marko Sarstedt, 2019. "(Ir)Rationality of decisions in business research and practice: introduction to the special issue," Business Research, Springer;German Academic Association for Business Research, vol. 12(1), pages 1-7, April.
    4. Dreher, Sandra & Eichfelder, Sebastian & Noth, Felix, 2022. "Does IFRS information on tax loss carryforwards and negative performance improve predictions of earnings and cash flows?," arqus Discussion Papers in Quantitative Tax Research 276, arqus - Arbeitskreis Quantitative Steuerlehre.
    5. Peter Ebbes & Dominik Papies & Harald J. van Heerde, 2011. "The Sense and Non-Sense of Holdout Sample Validation in the Presence of Endogeneity," Marketing Science, INFORMS, vol. 30(6), pages 1115-1122, November.

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