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A Special Case of Dynamic Pricing Policy

Author

Listed:
  • Birger Wernerfelt

    (J. L. Kellogg Graduate School of Management, Northwestern University, Evanston, Illinois 60201)

Abstract

This article studies the implications of experience curves and brand loyalty for optimal dynamic pricing policy. In a continuous time model, we synthesize several results from the literature on open loop equilibria. Specifically, we show that prices should decrease over time for high discount rates and steeper exogenous declines in variable costs. Conversely, the prices should increase over time if experience curves affect fixed costs and if consumers are brand loyal.

Suggested Citation

  • Birger Wernerfelt, 1986. "A Special Case of Dynamic Pricing Policy," Management Science, INFORMS, vol. 32(12), pages 1562-1566, December.
    • Handle: RePEc:inm:ormnsc:v:32:y:1986:i:12:p:1562-1566
    DOI: 10.1287/mnsc.32.12.1562
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    Citations

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    Cited by:

    1. Mitsukuni Nishida, 2018. "A Structural Analysis of Entry Order, Performance, and Geography: The Case of the Convenience-Store Industry in Japan," KIER Working Papers 993, Kyoto University, Institute of Economic Research.
    2. Alex Coad & Sven-Olov Daunfeldt & Daniel Halvarsson, 2022. "Amundsen versus Scott: are growth paths related to firm performance?," Small Business Economics, Springer, vol. 59(2), pages 593-610, August.
    3. Benjamin R. Handel & Kanishka Misra, 2015. "Robust New Product Pricing," Marketing Science, INFORMS, vol. 34(6), pages 864-881, November.
    4. Yi-Nung Yang, 1996. "Network Effects, Pricing Strategies, and Optimal Upgrade Time in Software Provision," Industrial Organization 9602001, University Library of Munich, Germany.
    5. Akamavi, Raphaël K. & Mohamed, Elsayed & Pellmann, Katharina & Xu, Yue, 2015. "Key determinants of passenger loyalty in the low-cost airline business," Tourism Management, Elsevier, vol. 46(C), pages 528-545.
    6. Kanishka Misra & Eric M. Schwartz & Jacob Abernethy, 2019. "Dynamic Online Pricing with Incomplete Information Using Multiarmed Bandit Experiments," Marketing Science, INFORMS, vol. 38(2), pages 226-252, March.
    7. Insu Cho & Heejun Park & Joseph Kim, 2012. "The moderating effect of innovation protection mechanisms on the competitiveness of service firms," Service Business, Springer;Pan-Pacific Business Association, vol. 6(3), pages 369-386, September.
    8. Ming Xu & Yan Jiao & Xiaoming Li & Qingfeng Cao & Xiaoyang Wang, 2015. "A Multi-Period Optimization Model for Service Providers Using Online Reservation Systems: An Application to Hotels," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-18, July.
    9. Juan Feng & Xin Li & Xiaoquan (Michael) Zhang, 2019. "Online Product Reviews-Triggered Dynamic Pricing: Theory and Evidence," Information Systems Research, INFORMS, vol. 30(4), pages 1107-1123, December.
    10. Bhattacharjee, Sudip & Ramesh, R., 2000. "A multi-period profit maximizing model for retail supply chain management: An integration of demand and supply-side mechanisms," European Journal of Operational Research, Elsevier, vol. 122(3), pages 584-601, May.

    More about this item

    Keywords

    marketing; marketing: pricing;

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