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Discounts and Deadlines in Consumer Search

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  • Dominic Coey
  • Bradley J. Larsen
  • Brennan C. Platt

Abstract

We present a new equilibrium search model where consumers initially search among discount opportunities, but are willing to pay more as a deadline approaches, eventually turning to full-price sellers. The model predicts equilibrium price dispersion and rationalizes discount and full-price sellers coexisting without relying on ex ante heterogeneity. We apply the model to online retail sales via auctions and posted prices, where failed attempts to purchase reveal consumers' reservation prices. We find robust evidence supporting the theory. We quantify dynamic search frictions arising from deadlines and show how, with deadline-constrained buyers, seemingly neutral platform fee increases can cause large market shifts.

Suggested Citation

  • 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.
  • Handle: RePEc:aea:aecrev:v:110:y:2020:i:12:p:3748-85
    DOI: 10.1257/aer.20190460
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    Cited by:

    1. Vilhuber, Lars, 2023. "Reproducibility and transparency versus privacy and confidentiality: Reflections from a data editor," Journal of Econometrics, Elsevier, vol. 235(2), pages 2285-2294.
    2. Joachim Freyberger & Bradley J. Larsen, 2022. "Identification in ascending auctions, with an application to digital rights management," Quantitative Economics, Econometric Society, vol. 13(2), pages 505-543, May.
    3. Caio Waisman, 2021. "Selling mechanisms for perishable goods: An empirical analysis of an online resale market for event tickets," Quantitative Marketing and Economics (QME), Springer, vol. 19(2), pages 127-178, June.
    4. Daniel Garcia, 2017. "Dynamic Pricing with Search Frictions," Vienna Economics Papers vie1703, University of Vienna, Department of Economics.
    5. Marleen Marra, 2019. "Pricing and Fees in Auction Platforms with Two-Sided Entry," Working Papers hal-03393068, HAL.
    6. repec:hal:spmain:info:hdl:2441/5kht5rc22p99sq5tol4efe4ssb is not listed on IDEAS
    7. Hämäläinen, Saara, 2022. "Multiproduct search obfuscation," International Journal of Industrial Organization, Elsevier, vol. 85(C).
    8. repec:hal:wpspec:info:hdl:2441/5kht5rc22p99sq5tol4efe4ssb is not listed on IDEAS
    9. Matthew Backus & Gregory Lewis, 2016. "Dynamic Demand Estimation in Auction Markets," NBER Working Papers 22375, National Bureau of Economic Research, Inc.
    10. Hanzhe Zhang, 2021. "Prices versus auctions in large markets," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 72(4), pages 1297-1337, November.
    11. David Bounie & Antoine Dubus & Patrick Waelbroeck, 2022. "Market for Information and Selling Mechanisms," CER-ETH Economics working paper series 22/367, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    12. Dominic Coey & Bradley J. Larsen & Kane Sweeney & Caio Waisman, 2021. "Scalable Optimal Online Auctions," Marketing Science, INFORMS, vol. 40(4), pages 593-618, July.
    13. Daniel Garcia, 2017. "Dynamic Pricing with Search Frictions," CESifo Working Paper Series 6765, CESifo.

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    More about this item

    JEL classification:

    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

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