Antitrust Enforcement Under Endogenous Fines and Price-Dependent Detection Probabilities

H.E.D. Houba, E. Motchenkova, Q. Wen

Research output: Working paperDiscussion paperOther research output


We analyze the effectiveness of antitrust regulation in a repeated oligopoly model in which both fines and detection probabilities depend on the cartel price. Such fines are closer to actual guidelines than the commonly assumed fixed fines. Under a constant detection probability, we confirm the long-run neutrality result with respect to fixed fines reported in Harrington (2005) and extend his result to the case where fines are directly proportional to illegal gains. In addition, we report that the profit-maximizing cartel price lies below the monopoly price when policy design features non-constant price-dependent detection probability. This offers partial support for current practice.
Original languageEnglish
Place of PublicationTilburg
Number of pages13
Publication statusPublished - 2010

Publication series

NameTILEC Discussion Paper


  • Repeated Game
  • Cartel
  • Antitrust
  • Competition Policy


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