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Revenue Management with Forward-Looking Buyers

Author

Listed:
  • Andrzej Skrzypacz

    (Stanford GSB)

  • Simon Board

    (UCLA)

Abstract

We consider a seller who wishes to sell K goods by time T. Potential buyers enter IID over time and are forward-looking, so can strategically time their purchases. At any point in time, profit is maximized by awarding the good to the agent with the highest valuation exceeding a cutoff. These cutoffs are characterized by a one-period-look-ahead rule and are deterministic, depending only on the number of units and time remaining. The cutoffs decrease over time and in the inventory size, and are independent of the buyers' arrival times. In the continuous time limit, the seller's profits are maximized by posting anonymous prices, with an auction for the last unit at time T. Unlike the cutoffs, the optimal prices depend on the history of past sales.

Suggested Citation

  • Andrzej Skrzypacz & Simon Board, 2011. "Revenue Management with Forward-Looking Buyers," 2011 Meeting Papers 87, Society for Economic Dynamics.
  • Handle: RePEc:red:sed011:87
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    References listed on IDEAS

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    1. Guillermo Gallego & Garrett van Ryzin, 1994. "Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons," Management Science, INFORMS, vol. 40(8), pages 999-1020, August.
    2. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680, Decembrie.
    3. Raymond Deneckere & James Peck, 2012. "Dynamic Competition With Random Demand and Costless Search: A Theory of Price Posting," Econometrica, Econometric Society, vol. 80(3), pages 1185-1247, May.
    4. Yossi Aviv & Amit Pazgal, 2008. "Optimal Pricing of Seasonal Products in the Presence of Forward-Looking Consumers," Manufacturing & Service Operations Management, INFORMS, vol. 10(3), pages 339-359, December.
    5. Said, Maher, 2012. "Auctions with dynamic populations: Efficiency and revenue maximization," Journal of Economic Theory, Elsevier, vol. 147(6), pages 2419-2438.
    6. McAfee, R. Preston & McMillan, John, 1987. "Auctions with a stochastic number of bidders," Journal of Economic Theory, Elsevier, vol. 43(1), pages 1-19, October.
    7. Andrew Sweeting, 2012. "Dynamic Pricing Behavior in Perishable Goods Markets: Evidence from Secondary Markets for Major League Baseball Tickets," Journal of Political Economy, University of Chicago Press, vol. 120(6), pages 1133-1172.
    8. Liran Einav & Chiara Farronato & Jonathan D. Levin & Neel Sundaresan, 2013. "Sales Mechanisms in Online Markets: What Happened to Internet Auctions?," NBER Working Papers 19021, National Bureau of Economic Research, Inc.
    9. Kruse, Thomas & Strack, Philipp, 2015. "Optimal stopping with private information," Journal of Economic Theory, Elsevier, vol. 159(PB), pages 702-727.
    10. Gonca P. Soysal & Lakshman Krishnamurthi, 2012. "Demand Dynamics in the Seasonal Goods Industry: An Empirical Analysis," Marketing Science, INFORMS, vol. 31(2), pages 293-316, March.
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