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Explanatory and predictive power of the adaptive learning model: average and heterogeneous behavior in a newsvendor context

Author

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  • Christian Köster

    (Clausthal University of Technology)

  • Heike Y. Schenk-Mathes

    (Clausthal University of Technology)

Abstract

The newsvendor problem is an economic decision problem with an interesting degree of complexity while still providing a quite simple and intuitive normative solution. Therefore, one should expect that decision makers find the optimal solution at least when they learn over time and become familiar with the problem. However, this is not the case. On average, decision makers in newsvendor settings tend to order too little when confronted with high-profit goods and too much in the case of low-profit goods. This inefficiency is well documented through a variety of laboratory experiments assuming symmetric demand functions and is known as pull-to-mean effect. We analyze data from an experiment that is based on an asymmetric demand function and are able to discriminate among the possible focal points, namely, mean demand, median demand, and the middle of possible demand. Interestingly, the result is not a pure pull-to-mean effect. We show that the adaptive learning model is able to better explain the ordering behavior than the models of anchoring and insufficient adjustment, demand chasing, the regretting newsvendor, reference dependence, or bounded rationality not only on the aggregate but also on the individual level. In particular, we find out that the top ranking of the adaptive learning model is not the result of mixing individual behavior according to the explanatory models with less parameters. Furthermore, we are able to improve the explanatory and predictive power of the adaptive learning model by modifying the demand indicator that is used.

Suggested Citation

  • Christian Köster & Heike Y. Schenk-Mathes, 2016. "Explanatory and predictive power of the adaptive learning model: average and heterogeneous behavior in a newsvendor context," Journal of Business Economics, Springer, vol. 86(4), pages 361-387, May.
  • Handle: RePEc:spr:jbecon:v:86:y:2016:i:4:d:10.1007_s11573-016-0814-8
    DOI: 10.1007/s11573-016-0814-8
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    as
    1. Fudenberg Drew & Kreps David M., 1993. "Learning Mixed Equilibria," Games and Economic Behavior, Elsevier, vol. 5(3), pages 320-367, July.
    2. Fudenberg, Drew & Levine, David, 1998. "Learning in games," European Economic Review, Elsevier, vol. 42(3-5), pages 631-639, May.
    3. Yufei Ren & Rachel Croson, 2013. "Overconfidence in Newsvendor Orders: An Experimental Study," Management Science, INFORMS, vol. 59(11), pages 2502-2517, November.
    4. 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.
    5. 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.
    6. 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.
    7. Teck-Hua Ho & Noah Lim & Tony Haitao Cui, 2010. "Reference Dependence in Multilocation Newsvendor Models: A Structural Analysis," Management Science, INFORMS, vol. 56(11), pages 1891-1910, November.
    8. Selten, Reinhard, 1991. "Evolution, learning, and economic behavior," Games and Economic Behavior, Elsevier, vol. 3(1), pages 3-24, February.
    9. Rogers, Brian W. & Palfrey, Thomas R. & Camerer, Colin F., 2009. "Heterogeneous quantal response equilibrium and cognitive hierarchies," Journal of Economic Theory, Elsevier, vol. 144(4), pages 1440-1467, July.
    10. Xuanming Su, 2008. "Bounded Rationality in Newsvendor Models," Manufacturing & Service Operations Management, INFORMS, vol. 10(4), pages 566-589, May.
    11. Ho, Teck H. & Camerer, Colin F. & Chong, Juin-Kuan, 2007. "Self-tuning experience weighted attraction learning in games," Journal of Economic Theory, Elsevier, vol. 133(1), pages 177-198, March.
    12. Roth, Alvin E. & Erev, Ido, 1995. "Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term," Games and Economic Behavior, Elsevier, vol. 8(1), pages 164-212.
    13. Gary E. Bolton & Axel Ockenfels & Ulrich W. Thonemann, 2012. "Managers and Students as Newsvendors," Management Science, INFORMS, vol. 58(12), pages 2225-2233, December.
    14. Colin F. Camerer & Teck-Hua Ho & Juin-Kuan Chong, 2004. "A Cognitive Hierarchy Model of Games," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(3), pages 861-898.
    15. 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.
    16. Colin Camerer & Teck-Hua Ho, 1999. "Experience-weighted Attraction Learning in Normal Form Games," Econometrica, Econometric Society, vol. 67(4), pages 827-874, July.
    17. 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.
    18. Daniel L. McFadden, 1976. "Quantal Choice Analysis: A Survey," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 363-390, National Bureau of Economic Research, Inc.
    19. Ockenfels, Axel & Selten, Reinhard, 2014. "Impulse balance in the newsvendor game," Games and Economic Behavior, Elsevier, vol. 86(C), pages 237-247.
    20. Drew Fudenberg & David K. Levine, 1998. "The Theory of Learning in Games," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061945, April.
    21. Basak Kalkanci & Kay-Yut Chen & Feryal Erhun, 2011. "Contract Complexity and Performance Under Asymmetric Demand Information: An Experimental Evaluation," Management Science, INFORMS, vol. 57(4), pages 689-704, April.
    22. Mirko Kremer & Stefan Minner & Luk N. Van Wassenhove, 2010. "Do Random Errors Explain Newsvendor Behavior?," Manufacturing & Service Operations Management, INFORMS, vol. 12(4), pages 673-681, July.
    23. Schiffels, Sebastian & Fügener, Andreas & Kolisch, Rainer & Jens Brunner, O., 2014. "On the assessment of costs in a newsvendor environment: Insights from an experimental study," Omega, Elsevier, vol. 43(C), pages 1-8.
    24. Nils Rudi & David Drake, 2014. "Observation Bias: The Impact of Demand Censoring on Newsvendor Level and Adjustment Behavior," Management Science, INFORMS, vol. 60(5), pages 1334-1345, May.
    25. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
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    Cited by:

    1. Sharifi, Rozhin & Razavi, Hamideh & Elahi, Ehsan, 2023. "Investigation of the ordering behavior of a retailer in the revenue sharing and buyback contracts considering round number bias," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
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    More about this item

    Keywords

    Adaptive learning; Experimental economics; Individual decision making; Behavioral operations management; Newsvendor problem;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

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