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Optimal liability for optimistic tortfeasors

Author

Listed:
  • Barbara Luppi

    (University of Modena and Reggio Emilia)

  • Francesco Parisi

    (University of Minnesota
    University of Bologna)

Abstract

As Alicke and Govorun (The self in social judgment, Psychology Press, New York, 2005, p. 85) observed, “most people are average, but few people believe it.” Optimism and other forms of inflated perception of the self lead parties to exercise suboptimal precautions when undertaking risky activities and often undermine the incentive effects of tort rules. In this paper, we show that the presence of optimism undermines several critical assumptions, upon which law and economics scholars have relied when modeling the incentive effects of tort law. We construct a model representing the incentives of “optimistic” tortfeasors and victims, and consider mechanisms for mitigating the effects of biased decision-making. We show that in the presence of optimism, comparative negligence rules are preferable to contributory negligence rules (i.e., the traditional equivalence between contributory and comparative negligence does not hold). Further, we discover the surprising conclusion that the most effective way to correct optimism may often simply be to “forgive” it, shielding optimistic individuals from liability, rather than holding them liable for the harms they cause.

Suggested Citation

  • Barbara Luppi & Francesco Parisi, 2016. "Optimal liability for optimistic tortfeasors," European Journal of Law and Economics, Springer, vol. 41(3), pages 559-574, June.
    • Handle: RePEc:kap:ejlwec:v:41:y:2016:i:3:d:10.1007_s10657-016-9523-6
    DOI: 10.1007/s10657-016-9523-6
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    References listed on IDEAS

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    Cited by:

    1. Andrea Castellano & Fernando Tohmé & Omar O. Chisari, 2020. "Product liability under ambiguity," European Journal of Law and Economics, Springer, vol. 49(3), pages 473-487, June.
    2. Chopard, Bertrand & Obidzinski, Marie, 2021. "Public law enforcement under ambiguity," International Review of Law and Economics, Elsevier, vol. 66(C).
    3. Marie Obidzinski & Yves Oytana, 2022. "Advisory algorithms and liability rules," Working Papers 2022-04, CRESE.
    4. Marie Obidzinski & Yves Oytana, 2022. "Prediction, human decision and liability rules, CRED Working paper No 2022-06," Working Papers hal-04034871, HAL.

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    More about this item

    Keywords

    Optimism bias; Better-than-average effect; Blind-spot bias; Forgiveness;
    All these keywords.

    JEL classification:

    • K13 - Law and Economics - - Basic Areas of Law - - - Tort Law and Product Liability; Forensic Economics
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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