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How Do Sellers Benefit From Buy-It-Now Prices in Ebay Auctions? -- an Experimental Investigation

Author

Listed:
  • Grebe, Tim
  • Ivanova-Stenzel, Radosveta

    (TU Berlin)

  • Kröger, Sabine

    (Laval University)

Abstract

In Buy-It-Now (BIN, hereafter) auctions, sellers can make a \"take-it-or-leave-it\" price offer (BIN price) prior to an auction. We analyse experimentally how eBay sellers set BIN prices and whether they benefit from offering them. Using the real eBay environment in the laboratory, we find that the eBay auction format supports deviations from truthful bidding leading to auction prices substantially below those expected in second-price auctions. Our results reveal that the observed price deviations are not an artefact due to the existence of the BIN price, rather a consequence of the specific features of the eBay-auction format - a mixture between sealed-bid and open second-price auction with a fixed end-time. Moreover, we find that information available on eBay can be used as indicator for the price deviation and that sellers respond strategically to this information. Seller risk aversion does not affect BIN prices and more experienced sellers ask for higher BIN prices. The introduction of BIN prices to eBay auctions has an enhancing effect: the eBay BIN auction is more efficient and generates significantly higher revenue compared to a standard eBay auction without a BIN price.

Suggested Citation

  • Grebe, Tim & Ivanova-Stenzel, Radosveta & Kröger, Sabine, 2018. "How Do Sellers Benefit From Buy-It-Now Prices in Ebay Auctions? -- an Experimental Investigation," Rationality and Competition Discussion Paper Series 97, CRC TRR 190 Rationality and Competition.
    • Handle: RePEc:rco:dpaper:97
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    References listed on IDEAS

    as
    1. Ivanova-Stenzel, Radosveta & Kröger, Sabine, 2008. "Price formation in a sequential selling mechanism," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 832-843, September.
    2. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    3. Chrysanthos Dellarocas & Charles A. Wood, 2008. "The Sound of Silence in Online Feedback: Estimating Trading Risks in the Presence of Reporting Bias," Management Science, INFORMS, vol. 54(3), pages 460-476, March.
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    Cited by:

    1. Carlos Hernán González-Campo & Vanessa Zamora Mina, 2020. "Comportamiento de los agentes en el comercio electrónico según modelos de localización," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, vol. 28(1), pages 47-65, June.

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    More about this item

    Keywords

    experience; online markets; ebay; bin price; private value; experiment;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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