IDEAS home Printed from https://ideas.repec.org/p/tin/wpaper/20110017.html
   My bibliography  Save this paper

Inverse Adverse Selection: The Market for Gems

Author

Listed:
  • Giuseppe Dari-Mattiacci

    (University of Amsterdam)

  • Sander Onderstal

    (University of Amsterdam)

  • Francesco Parisi

    (University of Minnesota, and University of Bologna)

Abstract

This paper studies markets plagued with asymmetric information on the quality of traded goods. In Akerlof's setting, sellers are better informed than buyers. In contrast, we examine cases where buyers are better informed than sellers. This creates an inverse adverse selection problem: The market tends to disappear from the bottom rather than from the top. In contrast to the traditional model, it is the high-value goods (gems) that are traded on the market, rather than the low-value goods (lemons). We investigate the consequences of this inverse adverse selection and its potential solutions. The uninformed buyer in a traditional market for lemons experiences the quality of the good he purchased; instead, the uninformed seller may never know the quality of the good that he sold. This renders the conventional legal and contractual solutions to the lemons problem often ineffective in the gems case. We further explore the theoretical and practical appeal of m arket, contractual, and legal solutions. Our results show that auctions (competition among many informed buyers) provide a solution to the inverse adverse selection problem.

Suggested Citation

  • Giuseppe Dari-Mattiacci & Sander Onderstal & Francesco Parisi, 2011. "Inverse Adverse Selection: The Market for Gems," Tinbergen Institute Discussion Papers 11-017/1, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20110017
    as

    Download full text from publisher

    File URL: https://papers.tinbergen.nl/11017.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bebchuk, Lucian Ayre & Shavell, Steven, 1991. "Information and the Scope of Liability for Breach of Contract: The Rule of Hadley vs. Baxendale," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 7(2), pages 284-312, Fall.
    2. Krishna, Vijay, 2009. "Auction Theory," Elsevier Monographs, Elsevier, edition 2, number 9780123745071.
    3. Manelli, Alejandro M & Vincent, Daniel R, 1995. "Optimal Procurement Mechanisms," Econometrica, Econometric Society, vol. 63(3), pages 591-620, May.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mike Burkart & Samuel Lee, 2016. "Smart Buyers," Review of Corporate Finance Studies, Oxford University Press, vol. 5(2), pages 239-270.
    2. Schneider, Mark & Stephenson, Daniel Graydon, 2021. "Bargains, price signaling, and efficiency in markets with asymmetric information," Games and Economic Behavior, Elsevier, vol. 128(C), pages 160-181.

    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. Grund Christian & Gürtler Oliver, 2008. "The Effect of Reputation on Selling Prices in Auctions," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(4), pages 345-356, August.
    2. Cesare Dosi & Michele Moretto, 2015. "Procurement with Unenforceable Contract Time and the Law of Liquidated Damages," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 31(1), pages 160-186.
    3. Talia Bar & Sidartha Gordon, 2014. "Optimal Project Selection Mechanisms," American Economic Journal: Microeconomics, American Economic Association, vol. 6(3), pages 227-255, August.
    4. repec:hal:spmain:info:hdl:2441/7o52iohb7k6srk09n8t49coi7 is not listed on IDEAS
    5. Marco Ottaviani & Andrea Prat, 2001. "The Value of Public Information in Monopoly," Econometrica, Econometric Society, vol. 69(6), pages 1673-1683, November.
    6. Onur A. Koska & Ilke Onur & Frank Stähler, 2018. "The scope of auctions in the presence of downstream interactions and information externalities," Journal of Economics, Springer, vol. 125(2), pages 107-136, October.
    7. Graff Zivin, Joshua & Mullins, Jamie, 2015. "Vessel buybacks in fisheries: The role of auction and financing structures," Marine Policy, Elsevier, vol. 53(C), pages 188-197.
    8. Schmöller, Arno, 2010. "Bidding Behavior, Seller Strategies, and the Utilization of Information in Auctions for Complex Goods," Munich Dissertations in Economics 11175, University of Munich, Department of Economics.
    9. Hickman Brent R. & Hubbard Timothy P. & Sağlam Yiğit, 2012. "Structural Econometric Methods in Auctions: A Guide to the Literature," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 67-106, August.
    10. Isabel Amigo & Pablo Belzarena & Sandrine Vaton, 2013. "A pricing scheme for QoS in overlay networks based on first-price auctions and reimbursement," Netnomics, Springer, vol. 14(1), pages 69-93, November.
    11. Giuseppe Dari-Mattiacci & Sander Onderstal & Francesco Parisi & Ram Singh, 2023. "Information-Forcing Effects of Non-Disclosure Rules," Working papers 338, Centre for Development Economics, Delhi School of Economics.
    12. Bob Crabtree & Jacqueline Potts & Trevor Smart, 2000. "Statistical Modelling of Incentive Design Under Limited Information ‐ The Case of Public Access to Farmland," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(2), pages 239-251, May.
    13. Hickman Brent R. & Hubbard Timothy P. & Sağlam Yiğit, 2012. "Structural Econometric Methods in Auctions: A Guide to the Literature," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 67-106, August.
    14. Manuel Willington & Eduardo Saavedra, 2011. "Eficiencia Productiva y Asignación de Cuotas de Pesca en Chile: Teorema de Coase y Asimetrías de Información," ILADES-UAH Working Papers inv264, Universidad Alberto Hurtado/School of Economics and Business.
    15. Muthoo, Abhinay & Mutuswami, Suresh, 2005. "Competition and Efficiency in Markets with Quality Uncertainty," Economics Discussion Papers 9981, University of Essex, Department of Economics.
    16. Thomas Troeger & Tymofiy Mylovanov, 2010. "Optimal Auction Design and Irrelevance of Privacy of Information," 2010 Meeting Papers 1039, Society for Economic Dynamics.
    17. repec:hal:wpspec:info:hdl:2441/7o52iohb7k6srk09n8t49coi7 is not listed on IDEAS
    18. Francesco Decarolis & Raymond Fisman & Paolo Pinotti & Silvia Vannutelli, 2019. "Rules, Discretion, and Corruption in Procurement: Evidence from Italian Government Contracting," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-344, Boston University - Department of Economics.
    19. Assaf Razin & Efraim Sadka & Chi-Wa Yuen, 1999. "An Information-Based Model of Foreign Direct Investment: The Gains from Trade Revisited," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 6(4), pages 579-596, November.
    20. Tisdell, Clem, 2014. "Information Technology's Impacts on Productivity, Welfare and Social Change: Second Version," Economic Theory, Applications and Issues Working Papers 195701, University of Queensland, School of Economics.
    21. Alexander Matros & Andriy Zapechelnyuk, 2010. "Competition of E-Commerce Intermediaries," Working Papers 675, Queen Mary University of London, School of Economics and Finance.
    22. Konduru, Srinivasa & Kalaitzandonakes, Nicholas G. & Magnier, Alexandre, 2009. "GMO Testing Strategies and Implications for Trade: A Game Theoretic Approach," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49594, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Lemons; Gems; Adverse selection; Asymmetric information; Auction;
    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
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
    • K12 - Law and Economics - - Basic Areas of Law - - - Contract Law

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:tin:wpaper:20110017. 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: Tinbergen Office +31 (0)10-4088900 (email available below). General contact details of provider: https://edirc.repec.org/data/tinbenl.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.