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A Welfare Assessment of Revenue Management Systems

Author

Listed:
  • Nicolas Dupuis
  • Marc Ivaldi

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Jerome Pouyet

    (ESSEC Business School, THEMA - Théorie économique, modélisation et applications - CNRS - Centre National de la Recherche Scientifique - CY - CY Cergy Paris Université)

Abstract

We study the welfare impact of revenue management, a practice which is widely spread in the transport industry, but whose impact on consumer surplus remains unclear. We develop a theoretical model of revenue management allowing for heterogeneity in product characteristics, capacity constraints, consumer preferences, and probabilities of arrival. We also introduce dynamic competition between revenue managers. We solve this model computationally and recover the optimal pricing strategies. We find that revenue management is generally welfare enhancing as it raises the number of sales.

Suggested Citation

  • Nicolas Dupuis & Marc Ivaldi & Jerome Pouyet, 2020. "A Welfare Assessment of Revenue Management Systems," Post-Print hal-02936706, HAL.
  • Handle: RePEc:hal:journl:hal-02936706
    DOI: 10.1515/rne-2020-0038
    as

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    References listed on IDEAS

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    1. Johannes Hörner & Larry Samuelson, 2011. "Managing Strategic Buyers," Journal of Political Economy, University of Chicago Press, vol. 119(3), pages 379-425.
    2. Alex Gershkov & Benny Moldovanu, 2009. "Dynamic Revenue Maximization with Heterogeneous Objects: A Mechanism Design Approach," American Economic Journal: Microeconomics, American Economic Association, vol. 1(2), pages 168-198, August.
    3. Drew Fudenberg & David K. Levine, 1988. "Open and Closed-Loop Equilibria in Dynamic Games With Many Players," Levine's Working Paper Archive 221, David K. Levine.
    4. Kalyan Talluri & Garrett van Ryzin, 2004. "Revenue Management Under a General Discrete Choice Model of Consumer Behavior," Management Science, INFORMS, vol. 50(1), pages 15-33, January.
    5. Simon P. Anderson & André De Palma & Jacques-François Thisse, 1989. "Demand for Differentiated Products, Discrete Choice Models, and the Characteristics Approach," Review of Economic Studies, Oxford University Press, vol. 56(1), pages 21-35.
    6. Jeffrey I. McGill & Garrett J. van Ryzin, 1999. "Revenue Management: Research Overview and Prospects," Transportation Science, INFORMS, vol. 33(2), pages 233-256, May.
    7. Garrett van Ryzin & Gustavo Vulcano, 2008. "Computing Virtual Nesting Controls for Network Revenue Management Under Customer Choice Behavior," Manufacturing & Service Operations Management, INFORMS, vol. 10(3), pages 448-467, October.
    8. Drew Fudenberg & David K. Levine, 2008. "Open-Loop and Closed-Loop Equilibria in Dynamic Games with Many Players," World Scientific Book Chapters, in: Drew Fudenberg & David K Levine (ed.), A Long-Run Collaboration On Long-Run Games, chapter 3, pages 41-58, World Scientific Publishing Co. Pte. Ltd..
    9. Gustavo Vulcano & Garrett van Ryzin & Wassim Chaar, 2010. "OM Practice--Choice-Based Revenue Management: An Empirical Study of Estimation and Optimization," Manufacturing & Service Operations Management, INFORMS, vol. 12(3), pages 371-392, February.
    10. James D. Dana Jr., 1999. "Using Yield Management to Shift Demand When the Peak Time is Unknown," RAND Journal of Economics, The RAND Corporation, vol. 30(3), pages 456-474, Autumn.
    11. Guillermo Gallego & Garrett van Ryzin, 1997. "A Multiproduct Dynamic Pricing Problem and Its Applications to Network Yield Management," Operations Research, INFORMS, vol. 45(1), pages 24-41, February.
    12. Kevin R. Williams, 2017. "Dynamic Airline Pricing and Seat Availability," Cowles Foundation Discussion Papers 3003, Cowles Foundation for Research in Economics, Yale University.
    13. Nancy L. Stokey, 1979. "Intertemporal Price Discrimination," The Quarterly Journal of Economics, Oxford University Press, vol. 93(3), pages 355-371.
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    More about this item

    Keywords

    Dynamic computational models; Intertemporal price discrimination; Revenue management; Transport fares;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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