The Appeal Decision and Settlement Bargaining
Ansgar Wohlschlegel
No 2025-01, Working Papers from Swansea University, School of Management
Abstract:
This paper analyses settlement bargaining under incomplete information when an appeal is possible. Litigants may engage in pretrial and, before reaching the appeals court, posttrial settlement bargaining. In the latter, both litigants utilise the information revealed at earlier stages, introducing the following effects: First, a defendant rejecting the pretrial settlement reveals having a strong case. Hence, a higher pretrial settlement rate weakens the plaintiff's average case, thereby reducing her posttrial equilibrium payoff (strategic effect). Second, the trial judgment is a noisy public signal of the appeals judgment. Hence, winning at trial makes a litigant stronger in posttrial settlement bargaining (information effect). Unlike in the standard single-stage model of settlement bargaining, I find that lower legal costs may not always reduce settlement incentives and that the allocation of legal costs between litigants may matter. Additionally, a stronger correlation between judgments on both court levels weakens the strategic effect.
Keywords: Appeals; Litigation; Settlement; Bargaining (search for similar items in EconPapers)
JEL-codes: D82 K13 K41 (search for similar items in EconPapers)
Pages: 39 pages
Date: 2025-02-27
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://rahwebdav.swan.ac.uk/repec/pdf/WP2025-01.pdf First version, 2025 (application/pdf)
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:swn:wpaper:2025-01
Access Statistics for this paper
More papers in Working Papers from Swansea University, School of Management Contact information at EDIRC.
Bibliographic data for series maintained by Syed Shabi-Ul-Hassan ().