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Analyzing Quantitative Models

Author

Listed:
  • Armstrong, J. Scott
  • Shapiro, Alan C.
Abstract
This article presents a framework for the evaluation of quantitative models. The framework is both simple and realistic and could be used profitably by most organizations. It incorporates not only internal accounting data but also the human elements of bias or antipathy toward the models on the part of company employees using them, which might tend to distort an internal assessment and even the capability of the model itself.

Suggested Citation

  • Armstrong, J. Scott & Shapiro, Alan C., 1974. "Analyzing Quantitative Models," MPRA Paper 81696, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:81696
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    File URL: https://mpra.ub.uni-muenchen.de/81696/1/MPRA_paper_81696.pdf
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    Cited by:

    1. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    2. Fildes, Robert & Petropoulos, Fotios, 2015. "Is there a Golden Rule?," Journal of Business Research, Elsevier, vol. 68(8), pages 1742-1745.

    More about this item

    Keywords

    quantitative models; analysis;

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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