IDEAS home Printed from https://ideas.repec.org/a/aea/aecrev/v101y2011i4p1535-46.html
   My bibliography  Save this article

Asymmetric Information, Adverse Selection and Online Disclosure: The Case of eBay Motors

Author

Listed:
  • Gregory Lewis

Abstract

Since Akerlof (1970), economists have understood the adverse selection problem that information asymmetries can create in used goods markets. The remarkable growth in online used goods auctions thus poses a puzzle. Part of the solution is that sellers voluntarily disclose their private information on the auction web page. This defines a precise contract -- to deliver the car shown for the closing price -- which helps protect the buyer from adverse selection. I test this theory using data from eBay Motors, finding that online disclosures are important price determinants, and that disclosure costs impact both the level of disclosure and prices. (JEL D44, D82, L81)

Suggested Citation

  • Gregory Lewis, 2011. "Asymmetric Information, Adverse Selection and Online Disclosure: The Case of eBay Motors," American Economic Review, American Economic Association, vol. 101(4), pages 1535-1546, June.
  • Handle: RePEc:aea:aecrev:v:101:y:2011:i:4:p:1535-46
    as

    Download full text from publisher

    File URL: http://www.aeaweb.org/articles.php?doi=10.1257/aer.101.4.1535
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.

    File URL: http://www.aeaweb.org/aer/data/june2011/20090124_data.zip
    File Function: dataset accompanying article
    Download Restriction: no
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bond, Eric W, 1982. "A Direct Test of the "Lemons" Model: The Market for Used Pickup Trucks," American Economic Review, American Economic Association, vol. 72(4), pages 836-840, September.
    2. Ginger Zhe Jin & Andrew Kato, 2006. "Price, quality, and reputation: evidence from an online field experiment," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 983-1005, December.
    3. Genesove, David, 1993. "Adverse Selection in the Wholesale Used Car Market," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 644-665, August.
    4. Grossman, Sanford J, 1981. "The Informational Role of Warranties and Private Disclosure about Product Quality," Journal of Law and Economics, University of Chicago Press, vol. 24(3), pages 461-483, December.
    5. Ginger Zhe Jin, 2005. "Competition and Disclosure Incentives: An Empirical Study of HMOs," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 93-112, Spring.
    6. Paul R. Milgrom, 1981. "Good News and Bad News: Representation Theorems and Applications," Bell Journal of Economics, The RAND Corporation, vol. 12(2), pages 380-391, Autumn.
    7. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    8. Mathios, Alan D, 2000. "The Impact of Mandatory Disclosure Laws on Product Choices: An Analysis of the Salad Dressing Market," Journal of Law and Economics, University of Chicago Press, vol. 43(2), pages 651-677, October.
    9. Daniel Houser & John Wooders, 2006. "Reputation in Auctions: Theory, and Evidence from eBay," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 15(2), pages 353-369, June.
    10. Ginger Zhe Jin & Phillip Leslie, 2003. "The Effect of Information on Product Quality: Evidence from Restaurant Hygiene Grade Cards," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(2), pages 409-451.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Benndorf, Volker & Kübler, Dorothea & Normann, Hans-Theo, 2015. "Privacy concerns, voluntary disclosure of information, and unraveling: An experiment," European Economic Review, Elsevier, vol. 75(C), pages 43-59.
    2. Liang Guo & Ying Zhao, 2009. "Voluntary Quality Disclosure and Market Interaction," Marketing Science, INFORMS, vol. 28(3), pages 488-501, 05-06.
    3. Vincze, János, 2010. "Miért és mitől védjük a fogyasztókat?. Aszimmetrikus információ és/vagy korlátozott racionalitás [Asymmetric information and/or bounded rationality: why are consumers protected and from what?]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 725-752.
    4. David Butler & Daniel Read, 2021. "Unravelling Theory: Strategic (Non-) Disclosure of Online Ratings," Games, MDPI, vol. 12(4), pages 1-20, September.
    5. Ginger Zhe Jin & Andrew Kato & John A. List, 2010. "That’S News To Me! Information Revelation In Professional Certification Markets," Economic Inquiry, Western Economic Association International, vol. 48(1), pages 104-122, January.
    6. Huse, Cristian & Lucinda, Claudio & Cardoso, Andre Ribeiro, 2020. "Consumer response to energy label policies: Evidence from the Brazilian energy label program," Energy Policy, Elsevier, vol. 138(C).
    7. Michael D. Grubb, 2011. "Developing a Reputation for Reticence," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 20(1), pages 225-268, March.
    8. Ting Liu & Monic Jiayin Sun, 2007. "Informal Payments in Developing Countries' Public Health Sectors¤," Boston University - Department of Economics - Working Papers Series WP2007-032, Boston University - Department of Economics.
    9. Sheth, Jesal D., 2021. "Disclosure of information under competition: An experimental study," Games and Economic Behavior, Elsevier, vol. 129(C), pages 158-180.
    10. Vollstaedt, Ulrike & Imcke, Patrick & Brendel, Franziska & Ehses-Friedrich, Christiane, 2020. "Increasing consumer surplus through a novel product testing mechanism," Ruhr Economic Papers 887, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    11. Luca, Michael & Smith, Jonathan, 2015. "Strategic disclosure: The case of business school rankings," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 17-25.
    12. Strittmatter, Anthony & Lechner, Michael, 2020. "Sorting in the used-car market after the Volkswagen emission scandal," Journal of Environmental Economics and Management, Elsevier, vol. 101(C).
    13. Daniela Rroshi & Michael Weichselbaumer, 2021. "What is in a price? Evidence on quality signaling for experience goods," Department of Economics Working Papers wuwp311, Vienna University of Economics and Business, Department of Economics.
    14. Jesal Sheth, 2019. "Disclosure of information under competition: An experimental study," Discussion Papers 2019-04, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    15. Harbaugh, Richmond & To, Theodore, 2020. "False modesty: When disclosing good news looks bad," Journal of Mathematical Economics, Elsevier, vol. 87(C), pages 43-55.
    16. Xiao, Mo, 2010. "Is quality accreditation effective? Evidence from the childcare market," International Journal of Industrial Organization, Elsevier, vol. 28(6), pages 708-721, November.
    17. Montero, Maria & Sheth, Jesal D., 2021. "Naivety about hidden information: An experimental investigation," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 92-116.
    18. Liang Guo, 2020. "Upstream Exploitation and Strategic Disclosure," Marketing Science, INFORMS, vol. 39(5), pages 923-938, September.
    19. Alexander L. Brown & Colin F. Camerer & Dan Lovallo, 2012. "To Review or Not to Review? Limited Strategic Thinking at the Movie Box Office," American Economic Journal: Microeconomics, American Economic Association, vol. 4(2), pages 1-26, May.
    20. Siny Joseph & Nathalie Lavoie & Julie A. Caswell, 2009. "Partial Implementation of COOL: Economic Effects in the U.S. Seafood Industry," Working Papers 2009-7, University of Massachusetts Amherst, Department of Resource Economics.

    More about this item

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

    Lists

    This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:
    1. Asymmetric Information, Adverse Selection and Online Disclosure: The Case of eBay Motors (AER 2011) in ReplicationWiki

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aea:aecrev:v:101:y:2011:i:4:p:1535-46. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.