Conjectures and underpricing in repeated mass disputes with heterogeneous plaintiffs
Giorgio Rampa () and
Margherita Saraceno
Additional contact information
Giorgio Rampa: University of Pavia
Margherita Saraceno: University of Pavia
Journal of Economics, 2023, vol. 139, issue 1, No 1, 32 pages
Abstract:
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.
Keywords: Bayesian learning; Conjectural equilibria; Consumer litigation; Risk aversion; Settlement (search for similar items in EconPapers)
JEL-codes: D81 D83 K13 K41 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s00712-022-00810-x Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:jeczfn:v:139:y:2023:i:1:d:10.1007_s00712-022-00810-x
DOI: 10.1007/s00712-022-00810-x
Access Statistics for this article
Journal of Economics is currently edited by Giacomo Corneo
More articles in Journal of Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().