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The overconfident newsvendor

Author

Listed:
  • Yufei Ren

    (University of Minnesota Duluth)

  • David Croson

    (Michigan State University)

  • Rachel Croson

    (Michigan State University)

Abstract

Previous experimental work has shown that individuals make suboptimal decisions in newsvendor problems. We argue that these decisions may be caused by overconfidence, and explore a theoretical (behavioral) model of overconfident newsvendors first presented in Ren and Croson (2013) that is consistent with these observed results. Using classical analysis techniques, we show that overconfident newsvendors will over-order in low-profit situations and under-order in high-profit situations, exhibiting the ordering pattern observed in the field and in the lab. In this paper, we further demonstrate that order bias is linear in the level of overconfidence, and is increasing with the variance of the demand distribution. Order bias also has a U-shaped relationship with market profitability, and the costs of overconfidence are convex. We use the theory to develop new predictions which can be themselves tested in future work.

Suggested Citation

  • Yufei Ren & David Croson & Rachel Croson, 2017. "The overconfident newsvendor," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(5), pages 496-506, May.
  • Handle: RePEc:pal:jorsoc:v:68:y:2017:i:5:d:10.1057_s41274-016-0103-5
    DOI: 10.1057/s41274-016-0103-5
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    References listed on IDEAS

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    1. Gilles Hilary & Lior Menzly, 2006. "Does Past Success Lead Analysts to Become Overconfident?," Management Science, INFORMS, vol. 52(4), pages 489-500, April.
    2. 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.
    3. Marcelo Olivares & Christian Terwiesch & Lydia Cassorla, 2008. "Structural Estimation of the Newsvendor Model: An Application to Reserving Operating Room Time," Management Science, INFORMS, vol. 54(1), pages 41-55, January.
    4. Ulrike Malmendier & Geoffrey Tate, 2005. "CEO Overconfidence and Corporate Investment," Journal of Finance, American Finance Association, vol. 60(6), pages 2661-2700, December.
    5. Terrance Odean., 1996. "Volume, Volatility, Price and Profit When All Trader Are Above Average," Research Program in Finance Working Papers RPF-266, University of California at Berkeley.
    6. Yigal Gerchak & David Mossman, 1992. "On the Effect of Demand Randomness on Inventories and Costs," Operations Research, INFORMS, vol. 40(4), pages 804-807, August.
    7. Maurice E. Schweitzer & Gérard P. Cachon, 2000. "Decision Bias in the Newsvendor Problem with a Known Demand Distribution: Experimental Evidence," Management Science, INFORMS, vol. 46(3), pages 404-420, March.
    8. Elena Katok & Diana Yan Wu, 2009. "Contracting in Supply Chains: A Laboratory Investigation," Management Science, INFORMS, vol. 55(12), pages 1953-1968, December.
    9. Abhilasha Prakash Katariya & Sila Cetinkaya & Eylem Tekin, 2014. "On the comparison of risk-neutral and risk-averse newsvendor problems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(7), pages 1090-1107, July.
    10. Eliezer Naddor, 1978. "Note--Sensitivity to Distributions in Inventory Systems," Management Science, INFORMS, vol. 24(16), pages 1769-1772, December.
    11. Xuanming Su, 2008. "Bounded Rationality in Newsvendor Models," Manufacturing & Service Operations Management, INFORMS, vol. 10(4), pages 566-589, May.
    12. Dan Lovallo & Colin Camerer, 1999. "Overconfidence and Excess Entry: An Experimental Approach," American Economic Review, American Economic Association, vol. 89(1), pages 306-318, March.
    13. U Benzion & Y Cohen & R Peled & T Shavit, 2008. "Decision-making and the newsvendor problem: an experimental study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1281-1287, September.
    14. Lijun Ma & Weili Xue & Yingxue Zhao & Qinghua Zeng, 2016. "Loss-averse newsvendor problem with supply risk," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(2), pages 214-228, February.
    15. Marshall Fisher & Ananth Raman, 1996. "Reducing the Cost of Demand Uncertainty Through Accurate Response to Early Sales," Operations Research, INFORMS, vol. 44(1), pages 87-99, February.
    16. 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.
    17. Elena Katok & Andrew Lathrop & William Tarantino & Susan H. Xu, 2001. "Jeppesen Uses a Dynamic-Programming-Based DSS to Manage Inventory," Interfaces, INFORMS, vol. 31(6), pages 54-65, December.
    18. Yufei Ren & Rachel Croson, 2013. "Overconfidence in Newsvendor Orders: An Experimental Study," Management Science, INFORMS, vol. 59(11), pages 2502-2517, November.
    19. Jing-Sheng Song, 1994. "The Effect of Leadtime Uncertainty in a Simple Stochastic Inventory Model," Management Science, INFORMS, vol. 40(5), pages 603-613, May.
    20. Terrance Odean, 1998. "Volume, Volatility, Price, and Profit When All Traders Are Above Average," Journal of Finance, American Finance Association, vol. 53(6), pages 1887-1934, December.
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