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Comment on “Newsvendor Demand Chasing Revisited”

Author

Listed:
  • Samuel N. Kirshner

    (University of New South Wales Business School, University of New South Wales, Sydney, New South Wales 2052, Australia)

  • Brent B. Moritz

    (Smeal College of Business, Pennsylvania State University, University Park, Pennsylvania 16802)

Abstract

Based on a simulation, the authors of “Newsvendor Demand Chasing Revisited” recommended using correlation of orders with lagged demand to measure chasing behavior. They concluded that measuring chasing with regression based on partial adjustment is prone to false positives. We show the purported false positives are due to autocorrelation and recommend using partial adjustment regression-based approaches to evaluate chasing.

Suggested Citation

  • Samuel N. Kirshner & Brent B. Moritz, 2020. "Comment on “Newsvendor Demand Chasing Revisited”," Management Science, INFORMS, vol. 66(12), pages 6062-6064, December.
    • Handle: RePEc:inm:ormnsc:v:66:y:12:i:2020:p:6062-6064
    DOI: 10.1287/mnsc.2019.3489
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    References listed on IDEAS

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    1. AJ A. Bostian & Charles A. Holt & Angela M. Smith, 2008. "Newsvendor "Pull-to-Center" Effect: Adaptive Learning in a Laboratory Experiment," Manufacturing & Service Operations Management, INFORMS, vol. 10(4), pages 590-608, July.
    2. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    3. Nelson Lau & J. Neil Bearden, 2013. "Newsvendor Demand Chasing Revisited," Management Science, INFORMS, vol. 59(5), pages 1245-1249, May.
    4. Phillips, P.C.B., 1986. "Understanding spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 33(3), pages 311-340, December.
    5. Gary E. Bolton & Elena Katok, 2008. "Learning by Doing in the Newsvendor Problem: A Laboratory Investigation of the Role of Experience and Feedback," Manufacturing & Service Operations Management, INFORMS, vol. 10(3), pages 519-538, September.
    6. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    7. Durbin, J, 1970. "Testing for Serial Correlation in Least-Squares Regression When Some of the Regressors are Lagged Dependent Variables," Econometrica, Econometric Society, vol. 38(3), pages 410-421, May.
    8. Feng, Tianjun & Keller, L. Robin & Zheng, Xiaona, 2011. "Decision making in the newsvendor problem: A cross-national laboratory study," Omega, Elsevier, vol. 39(1), pages 41-50, January.
    9. Lurie, Nicholas H. & Swaminathan, Jayashankar M., 2009. "Is timely information always better? The effect of feedback frequency on decision making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 108(2), pages 315-329, March.
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