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The Determinants of Price in Internet Auctions of Used Cars

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  • Thomas Andrews
  • Cynthia Benzing

Abstract

This study analyzes how auction, seller, and product factors influence the price premium in an eBay used car auction market. In auctions with at least one bid, the reputation of the seller, title status, and the time the auction ended influenced the price premium on the highest bid. For auctions that resulted in a sale, cars with clear title and dealers were able to secure significantly greater price premiums, but seller reputation had no significant effect. Using a binary logit model, cars had a greater probability of selling if the seller had a better reputation. The quality of the presentation and number of pictures did not enhance the price premium in any of the models. Copyright International Atlantic Economic Society 2007

Suggested Citation

  • Thomas Andrews & Cynthia Benzing, 2007. "The Determinants of Price in Internet Auctions of Used Cars," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 35(1), pages 43-57, March.
    • Handle: RePEc:kap:atlecj:v:35:y:2007:i:1:p:43-57
    DOI: 10.1007/s11293-006-9045-7
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    Cited by:

    1. Genti Kostandini & Elton Mykerezi & Eftila Tanellari & Nour Dib, 2011. "Does Buyer Experience Pay Off? Evidence from eBay," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 39(3), pages 253-265, November.
    2. Kevin Hasker & Robin Sickles, 2010. "eBay in the Economic Literature: Analysis of an Auction Marketplace," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 37(1), pages 3-42, August.
    3. Jannett Highfill & Kevin O’Brien, 2009. "The Effect of Alternative e-Prices on eBay Book Auctions," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 37(4), pages 383-395, December.
    4. Lessmann, Stefan & Voß, Stefan, 2017. "Car resale price forecasting: The impact of regression method, private information, and heterogeneity on forecast accuracy," International Journal of Forecasting, Elsevier, vol. 33(4), pages 864-877.
    5. Chia-Hung Sun & Kang Liu, 2010. "Information asymmetry and small business in online auction market," Small Business Economics, Springer, vol. 34(4), pages 433-444, May.

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    More about this item

    Keywords

    car auctions; internet auctions; pricing factors; D44; D82; L14;
    All these keywords.

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

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