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Forecasting Methods for Marketing:* Review of Empirical Research

Author

Listed:
  • J. S. Armstrong

    (The Wharton School)

  • R. Brodie

    (University of Canterbury)

  • S. McIntyre

    (Santa Clara University)

Abstract

This paper reviews the empirical research on forecasting in marketing. In addition, it presents results from some small scale surveys. We offer a framework for discussing forecasts in the area of marketing, and then review the literature in light of that framework. Particular emphasis is given to a pragmatic interpretation of the literature and findings. Suggestions are made on what research is needed.

Suggested Citation

  • J. S. Armstrong & R. Brodie & S. McIntyre, 2005. "Forecasting Methods for Marketing:* Review of Empirical Research," General Economics and Teaching 0502023, EconWPA.
  • Handle: RePEc:wpa:wuwpgt:0502023
    Note: Type of Document - pdf; pages: 23
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    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/get/papers/0502/0502023.pdf
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    References listed on IDEAS

    as
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    5. Dalrymple, Douglas J., 1975. "Sales forecasting methods and accuracy," Business Horizons, Elsevier, vol. 18(6), pages 69-73, December.
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    7. Steven P. Schnaars, 1986. "An Evaluation of Rules for Selecting an Extrapolation Model on Yearly Sales Forecasts," Interfaces, INFORMS, vol. 16(6), pages 100-107, December.
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    9. Armstrong, J. Scott, 1970. "An Application of Econometric Models to International Marketing," MPRA Paper 81698, University Library of Munich, Germany.
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    17. Tyebjee, Tyzoon T., 1987. "Behavioral biases in new product forecasting," International Journal of Forecasting, Elsevier, vol. 3(3-4), pages 393-404.
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    20. JS Armstrong, 2004. "Forecasting Methods for Conflict Situations," General Economics and Teaching 0412025, EconWPA.
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    Cited by:

    1. Kesten C. Green & J. Scott Armstrong, 2004. "Value of Expertise For Forecasting Decisions in Conflicts," Monash Econometrics and Business Statistics Working Papers 27/04, Monash University, Department of Econometrics and Business Statistics.

    More about this item

    Keywords

    forecasting; marketing; methods; review; research;

    JEL classification:

    • A - General Economics and Teaching

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