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Conjectures and underpricing in repeated mass disputes with heterogeneous plaintiffs

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  • Giorgio Rampa

    (University of Pavia)

  • Margherita Saraceno

    (University of Pavia)

Abstract

The present Bayes-conjectural model focuses on a single defendant repeatedly formulating settlement offers when facing a heterogeneous population of victims. As usual, victims are risk-averse. However, the defendant cannot know the victims’ characteristics or their distribution. The defendant is endowed with an initial conjecture on the victims’ aggregate behavior. On each date, it formulates a settlement offer and updates the conjecture based on what it observes. We show that there is a multiplicity of conjectural equilibria and that the one reached depends on the initial conjecture. Independent of the degree of victims’ risk aversion, an equilibrium settlement can underprice the correct value of the claim. The results show that higher defendant court fees and aggregate procedures may alleviate the underpricing problem.

Suggested Citation

  • Giorgio Rampa & Margherita Saraceno, 2023. "Conjectures and underpricing in repeated mass disputes with heterogeneous plaintiffs," Journal of Economics, Springer, vol. 139(1), pages 1-32, June.
  • Handle: RePEc:kap:jeczfn:v:139:y:2023:i:1:d:10.1007_s00712-022-00810-x
    DOI: 10.1007/s00712-022-00810-x
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    More about this item

    Keywords

    Bayesian learning; Conjectural equilibria; Consumer litigation; Risk aversion; Settlement;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • K13 - Law and Economics - - Basic Areas of Law - - - Tort Law and Product Liability; Forensic Economics
    • K41 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Litigation Process

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