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Information-Forcing Effects of Non-Disclosure Rules

Author

Listed:
  • Giuseppe Dari-Mattiacci

    (University of Amsterdam)

  • Sander Onderstal

    (University of Amsterdam)

  • Francesco Parisi

    (University of Minnesota)

  • Ram Singh

    (Department of Economics, Delhi School of Economicss, University of Delhi)

Abstract

Contract law traditionally applies different disclosure duties on buyers and sellers. Sellers are generally required to disclose “negative” information about hidden defects of the products they sell. Failure to disclose can make the contract voidable and can give rise to liability. By contrast, buyers are generally under no comparable duties to disclose “positive” information about hidden qualities of the products they buy. The leading explanation for the law’s disparate treatment of buyers and sellers in these two asymmetric information problems is that imposing disclosure duties on buyers would undermine their incentives to acquire costly (but socially useful) information prior to forming a contract (Kronman, 1978). This explanation lacks a key step—the failure to correct asymmetric information problems would cause the inverse adverse selection problem (identified by Burckart and Lee (2016) and Dari-Mattiacci et al. (2021)) to arise. Uninformed sellers would withdraw from the market and resources would not move to higher-valuing users. In this paper, we develop a model to study the incentives created by disclosure and non-disclosure rules. We show that when parties can contract around defaults, the choice of alternative disclosure rules (duty to disclose vs. no duty to disclose) makes a difference. Unlike disclosure rules, non-disclosure default rules yield partially separating equilibria that preserve the buyers’ incentives to acquire information. They also foster trade opportunities between expert buyers and uninformed sellers. Our results add to the existing literature by providing an additional rationale for the different treatment of buyers and sellers in asymmetric information problems. JEL Codes : D44, D82, D86, K12.

Suggested Citation

  • 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.
  • Handle: RePEc:cde:cdewps:338
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    References listed on IDEAS

    as
    1. Hinloopen, Jeroen & Onderstal, Sander & Treuren, Leonard, 2020. "Cartel stability in experimental first-price sealed-bid and English auctions," International Journal of Industrial Organization, Elsevier, vol. 71(C).
    2. 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.
    3. 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.
    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.
    5. Steven Shavell, 1994. "Acquisition and Disclosure of Information Prior to Sale," RAND Journal of Economics, The RAND Corporation, vol. 25(1), pages 20-36, Spring.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    asymmetric information; penalty default rules; inverse adverse selection;
    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

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