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Dynamic Pricing with Search Frictions

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Abstract
This paper studies dynamic pricing in markets with search frictions. Sellers have a single unit of a good and post prices in every trading period. Buyers have to incur a search cost to match with a new seller and upon matching they observe the price and the realization of some idiosyncratic match value. There is no discounting but trade ends at an exogenously given deadline. We show that equilibrium involves trading in finitely many trading periods and the volume of trade increases over time. Under mild conditions on the buyerto- seller ratio and the distribution of valuations, prices decrease at increasing rates as the deadline approaches. We derive the gains from trade in equilibrium and their distribution between buyers and sellers. For the case in which the measures of buyers and sellers coincide, we provide a full characterization of the (unique) equilibrium for a class of distribution functions. We finally discuss implications for market design, including the use of platform fees and cancellation policies.

Suggested Citation

  • Daniel Garcia, 2017. "Dynamic Pricing with Search Frictions," Vienna Economics Papers vie1703, University of Vienna, Department of Economics.
    • Handle: RePEc:vie:viennp:vie1703
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    References listed on IDEAS

    as
    1. Daniel Garcia & Sandro Shelegia, 2018. "Consumer search with observational learning," RAND Journal of Economics, RAND Corporation, vol. 49(1), pages 224-253, March.
    2. Johannes Hörner & Larry Samuelson, 2011. "Managing Strategic Buyers," Journal of Political Economy, University of Chicago Press, vol. 119(3), pages 379-425.
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    4. Dominic Coey & Bradley J. Larsen & Brennan C. Platt, 2020. "Discounts and Deadlines in Consumer Search," American Economic Review, American Economic Association, vol. 110(12), pages 3748-3785, December.
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    7. Janssen, Maarten C.W. & Parakhonyak, Alexei & Parakhonyak, Anastasia, 2017. "Non-reservation price equilibria and consumer search," Journal of Economic Theory, Elsevier, vol. 172(C), pages 120-162.
    8. E. Glen Weyl & Michal Fabinger, 2013. "Pass-Through as an Economic Tool: Principles of Incidence under Imperfect Competition," Journal of Political Economy, University of Chicago Press, vol. 121(3), pages 528-583.
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    12. Simon Board & Andrzej Skrzypacz, 2016. "Revenue Management with Forward-Looking Buyers," Journal of Political Economy, University of Chicago Press, vol. 124(4), pages 1046-1087.
    13. 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.
    14. Meisner, Vincent, 2016. "Competing for Strategic Buyers," VfS Annual Conference 2016 (Augsburg): Demographic Change 145761, Verein für Socialpolitik / German Economic Association.
    15. Daniel Garcia & Sandro Shelegia, 2018. "Consumer search with observational learning," RAND Journal of Economics, RAND Corporation, vol. 49(1), pages 224-253, March.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets

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