Learning by litigating: An application to antitrust commitments

Autor: Andreea Cosnita-Langlais, Jean-Philippe Tropeano
Přispěvatelé: EconomiX, Université Paris Nanterre (UPN)-Centre National de la Recherche Scientifique (CNRS), Paris School of Economics (PSE), Université Paris 1 Panthéon-Sorbonne (UP1)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Paris Jourdan Sciences Economiques (PJSE)
Rok vydání: 2022
Předmět:
Zdroj: International Journal of Industrial Organization
International Journal of Industrial Organization, 2022, 80, ⟨10.1016/j.ijindorg.2021.102795⟩
ISSN: 0167-7187
DOI: 10.1016/j.ijindorg.2021.102795
Popis: International audience; This paper examines the impact of commitment decisions on the efficiency of antitrust enforcement. We discuss the optimal use of commitments considering past rulings as a source of knowledge to better assess future similar antitrust cases. Our framework combines two key effects: the deterrence of the anticompetitive behavior by the different enforcement regimes, and the dynamic perspective through litigation as a source of learning. We show that if the level of penalty is high enough, the antitrust authorities undervalue the dynamic informational benefit of litigation and tend to over-use commitments.
Databáze: OpenAIRE