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Dynamic pricing and learning with competition: insights from the dynamic pricing challenge at the 2017 INFORMS RM & pricing conference

Author

Listed:
  • Ruben Geer

    (Vrije Universiteit)

  • Arnoud V. Boer

    (University of Amsterdam
    University of Amsterdam)

  • Christopher Bayliss

    (Universitat Oberta de Catalunya)

  • Christine S. M. Currie

    (University of Southampton)

  • Andria Ellina

    (University of Southampton)

  • Malte Esders

    (Technische Universität Berlin)

  • Alwin Haensel

    (Haensel AMS, Advanced Mathematical Solutions)

  • Xiao Lei

    (Columbia University)

  • Kyle D. S. Maclean

    (Western University)

  • Antonio Martinez-Sykora

    (University of Southampton)

  • Asbjørn Nilsen Riseth

    (University of Oxford)

  • Fredrik Ødegaard

    (Western University)

  • Simos Zachariades

    (University of Southampton)

Abstract

This paper presents the results of the Dynamic Pricing Challenge, held on the occasion of the 17th INFORMS Revenue Management and Pricing Section Conference on June 29–30, 2017 in Amsterdam, The Netherlands. For this challenge, participants submitted algorithms for pricing and demand learning of which the numerical performance was analyzed in simulated market environments. This allows consideration of market dynamics that are not analytically tractable or can not be empirically analyzed due to practical complications. Our findings implicate that the relative performance of algorithms varies substantially across different market dynamics, which confirms the intrinsic complexity of pricing and learning in the presence of competition.

Suggested Citation

  • Ruben Geer & Arnoud V. Boer & Christopher Bayliss & Christine S. M. Currie & Andria Ellina & Malte Esders & Alwin Haensel & Xiao Lei & Kyle D. S. Maclean & Antonio Martinez-Sykora & Asbjørn Nilsen Ris, 2019. "Dynamic pricing and learning with competition: insights from the dynamic pricing challenge at the 2017 INFORMS RM & pricing conference," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(3), pages 185-203, June.
  • Handle: RePEc:pal:jorapm:v:18:y:2019:i:3:d:10.1057_s41272-018-00164-4
    DOI: 10.1057/s41272-018-00164-4
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    References listed on IDEAS

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    1. Schinkel, Maarten Pieter & Tuinstra, Jan & Vermeulen, Dries, 2002. "Convergence of Bayesian learning to general equilibrium in mis-specified models," Journal of Mathematical Economics, Elsevier, vol. 38(4), pages 483-508, December.
    2. Vivek F. Farias & Benjamin Van Roy, 2010. "Dynamic Pricing with a Prior on Market Response," Operations Research, INFORMS, vol. 58(1), pages 16-29, February.
    3. Dolores Alepuz, M. & Urbano, Amparo, 1999. "Duopoly experimentation: Cournot competition," Mathematical Social Sciences, Elsevier, vol. 37(2), pages 165-188, March.
    4. Rassenti, Stephen & Reynolds, Stanley S. & Smith, Vernon L. & Szidarovszky, Ferenc, 2000. "Adaptation and convergence of behavior in repeated experimental Cournot games," Journal of Economic Behavior & Organization, Elsevier, vol. 41(2), pages 117-146, February.
    5. Aghion, Philippe & Espinosa, Maria Paz & Jullien, Bruno, 1993. "Dynamic Duopoly with Learning through Market Experimentation," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 3(3), pages 517-539, July.
    6. Yiwei Chen & Vivek F. Farias, 2013. "Simple Policies for Dynamic Pricing with Imperfect Forecasts," Operations Research, INFORMS, vol. 61(3), pages 612-624, June.
    7. Kutschinski, Erich & Uthmann, Thomas & Polani, Daniel, 2003. "Learning competitive pricing strategies by multi-agent reinforcement learning," Journal of Economic Dynamics and Control, Elsevier, vol. 27(11), pages 2207-2218.
    8. Arnoud V. den Boer & Bert Zwart, 2014. "Simultaneously Learning and Optimizing Using Controlled Variance Pricing," Management Science, INFORMS, vol. 60(3), pages 770-783, March.
    9. Gian-Italo Bischi & Carl Chiarella & Michael Kopel, 2004. "The Long Run Outcomes And Global Dynamics Of A Duopoly Game With Misspecified Demand Functions," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 343-379.
    10. Mirman, Leonard J & Samuelson, Larry & Urbano, Amparo, 1993. "Duopoly Signal Jamming," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 3(1), pages 129-149, January.
    11. J. Michael Harrison & N. Bora Keskin & Assaf Zeevi, 2012. "Bayesian Dynamic Pricing Policies: Learning and Earning Under a Binary Prior Distribution," Management Science, INFORMS, vol. 58(3), pages 570-586, March.
    12. Belleflamme, Paul & Bloch, Francis, 2001. "Price and quantity experimentation: A synthesis," International Journal of Industrial Organization, Elsevier, vol. 19(10), pages 1563-1582, December.
    13. Dimitrova, Magdalena & Schlee, Edward E., 2003. "Monopoly, competition and information acquisition," International Journal of Industrial Organization, Elsevier, vol. 21(10), pages 1623-1642, December.
    14. Victor F. Araman & René Caldentey, 2009. "Dynamic Pricing for Nonperishable Products with Demand Learning," Operations Research, INFORMS, vol. 57(5), pages 1169-1188, October.
    15. N. Bora Keskin & Assaf Zeevi, 2014. "Dynamic Pricing with an Unknown Demand Model: Asymptotically Optimal Semi-Myopic Policies," Operations Research, INFORMS, vol. 62(5), pages 1142-1167, October.
    16. Anufriev, Mikhail & Kopányi, Dávid & Tuinstra, Jan, 2013. "Learning cycles in Bertrand competition with differentiated commodities and competing learning rules," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2562-2581.
    17. Jan Tuinstra, 2004. "A Price Adjustment Process In A Model Of Monopolistic Competition," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 417-442.
    18. Harrington Jr. , Joseph E., 1995. "Experimentation and Learning in a Differentiated-Products Duopoly," Journal of Economic Theory, Elsevier, vol. 66(1), pages 275-288, June.
    19. Keller, Godfrey & Rady, Sven, 2003. "Price Dispersion and Learning in a Dynamic Differentiated-Goods Duopoly," RAND Journal of Economics, The RAND Corporation, vol. 34(1), pages 138-165, Spring.
    20. Cyert, Richard M & DeGroot, Morris H, 1970. "Bayesian Analysis and Duopoly Theory," Journal of Political Economy, University of Chicago Press, vol. 78(5), pages 1168-1184, Sept.-Oct.
    21. Fishman, Arthur & Gandal, Neil, 1994. "Experimentation and learning with networks effects," Economics Letters, Elsevier, vol. 44(1-2), pages 103-108.
    22. Kwon, Changhyun & Friesz, Terry L. & Mookherjee, Reetabrata & Yao, Tao & Feng, Baichun, 2009. "Non-cooperative competition among revenue maximizing service providers with demand learning," European Journal of Operational Research, Elsevier, vol. 197(3), pages 981-996, September.
    23. Yalç{i}n Akçay & Harihara Prasad Natarajan & Susan H. Xu, 2010. "Joint Dynamic Pricing of Multiple Perishable Products Under Consumer Choice," Management Science, INFORMS, vol. 56(8), pages 1345-1361, August.
    24. Kutschinski, Erich & Uthmann, Thomas & Polani, Daniel, 2003. "Learning competitive pricing strategies by multi-agent reinforcement learning," Journal of Economic Dynamics and Control, Elsevier, vol. 27(11-12), pages 2207-2218, September.
    25. Bischi, Gian Italo & Naimzada, Ahmad K. & Sbragia, Lucia, 2007. "Oligopoly games with Local Monopolistic Approximation," Journal of Economic Behavior & Organization, Elsevier, vol. 62(3), pages 371-388, March.
    26. Josef Broder & Paat Rusmevichientong, 2012. "Dynamic Pricing Under a General Parametric Choice Model," Operations Research, INFORMS, vol. 60(4), pages 965-980, August.
    27. Omar Besbes & Assaf Zeevi, 2009. "Dynamic Pricing Without Knowing the Demand Function: Risk Bounds and Near-Optimal Algorithms," Operations Research, INFORMS, vol. 57(6), pages 1407-1420, December.
    28. Arnoud V. den Boer & Bert Zwart, 2015. "Dynamic Pricing and Learning with Finite Inventories," Operations Research, INFORMS, vol. 63(4), pages 965-978, August.
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