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Is Sniping A Problem For Online Auction Markets?

Published: 18 May 2015 Publication History

Abstract

A common complaint about online auctions for consumer goods is the presence of ``snipers,'' who place bids in the final seconds of sequential ascending auctions with predetermined ending times. The literature conjectures that snipers are best-responding to the existence of ``incremental" bidders that bid up to their valuation only as they are outbid. Snipers aim to catch these incremental bidders at a price below their reserve, with no time to respond. As a consequence, these incremental bidders may experience regret when they are outbid at the last moment at a price below their reservation value. We measure the effect of this experience on a new buyer's propensity to participate in future auctions. We show the effect to be causal using a carefully selected subset of auctions from eBay.com and instrumental variables estimation strategy. Bidders respond to sniping quite strongly and are between 4 and 18 percent less likely to return to the platform.

References

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Cited By

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  • (2024)A new sociology of humans and machinesNature Human Behaviour10.1038/s41562-024-02001-88:10(1864-1876)Online publication date: 22-Oct-2024
  • (2022)Online Auctions End Time and its Impact on Sales Success – Analysis of the Odds Ratio on a Selected Central European MarketFolia Oeconomica Stetinensia10.2478/foli-2022-002922:2(246-264)Online publication date: 20-Dec-2022
  • (2022)How you Remind Me! The Influence of Mobile Push Notifications on Success Rates in Last-Minute BiddingJournal of Interactive Marketing10.1016/j.intmar.2020.08.00254:1(11-24)Online publication date: 31-Jan-2022
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    WWW '15: Proceedings of the 24th International Conference on World Wide Web
    May 2015
    1460 pages
    ISBN:9781450334693

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    • IW3C2: International World Wide Web Conference Committee

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    International World Wide Web Conferences Steering Committee

    Republic and Canton of Geneva, Switzerland

    Publication History

    Published: 18 May 2015

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    Author Tags

    1. online auctions
    2. sniping

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    WWW '15 Paper Acceptance Rate 131 of 929 submissions, 14%;
    Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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    View all
    • (2024)A new sociology of humans and machinesNature Human Behaviour10.1038/s41562-024-02001-88:10(1864-1876)Online publication date: 22-Oct-2024
    • (2022)Online Auctions End Time and its Impact on Sales Success – Analysis of the Odds Ratio on a Selected Central European MarketFolia Oeconomica Stetinensia10.2478/foli-2022-002922:2(246-264)Online publication date: 20-Dec-2022
    • (2022)How you Remind Me! The Influence of Mobile Push Notifications on Success Rates in Last-Minute BiddingJournal of Interactive Marketing10.1016/j.intmar.2020.08.00254:1(11-24)Online publication date: 31-Jan-2022
    • (2021)Market Design, Human Behavior, and ManagementManagement Science10.1287/mnsc.2020.365967:9(5317-5348)Online publication date: 1-Sep-2021
    • (2021)Expectation, Disappointment, and Exit: Evidence on Reference Point Formation from an Online MarketplaceJournal of the European Economic Association10.1093/jeea/jvab033Online publication date: 23-Jul-2021
    • (2021)Demand dynamics across secondary German Book markets: an information aggregation and synthetization approachInformation Systems and e-Business Management10.1007/s10257-021-00512-9Online publication date: 15-Feb-2021
    • (2018)Penny Auctions are PredictableProceedings of the 29th on Hypertext and Social Media10.1145/3209542.3209576(123-127)Online publication date: 3-Jul-2018
    • (undefined)Development of a Spectrum Auction Policy for International Mobile Telecommunications in South Korea Under Agent-Based SimulationSSRN Electronic Journal10.2139/ssrn.4064478
    • (undefined)Online Auction Markets Before and During the LockdownSSRN Electronic Journal10.2139/ssrn.3915922

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