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Private antitrust enforcement and the role of harmed parties in public enforcement

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Abstract

It is commonly believed that the possibility to sue privately for antitrust damages increases the probability that anticompetitive actions are prosecuted at the cost of an increased probability that procompetitive actions are prosecuted. We extend the analysis by taking into account that private parties often submit evidence during public investigation. Such parties consider private suit as a partial substitute for public prosecution. The trial option might induce these parties to be less willing to contribute evidence to public cases. Private trials crowd out public prosecution. In effect, the probability of prosecution of anticompetitive actions might decrease, while the earlier result that the probability of prosecuted actions being prosecuted is confirmed. In general, while the attractiveness of trials weakly decreases by considering a reporting possibility, they can remain an enforcement efficacy increasing institution.

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Notes

  1. However, the judicial system played nonetheless an important role in antitrust enforcement, as a prosecuted firm had the right to appeal administrative convictions at the European Court of Justice.

  2. An important remaining difference between American and European enforcement institutions is that the antitrust authorities in the US cannot themselves apply fines, but must bring cases to trial, just as a private party can do if desired. See Ganglmair and Guenster (2011) for a technical analysis of the effects resulting from this institutional difference.

  3. Segal and Whinston (2007) report that in the US about 90 % of all antitrust trials are initiated by private parties.

  4. However, compensation of injured parties through private trials is reasonable justification for Wils (2003).

  5. If the Commission refuses to investigate the complaint, the complaining party can initiate judicial review of the Commission’s decision and might become eligible for damage payments against the Commission if the case is found to have been wrongfully dismissed. See Albors-Llorens (2002).

  6. To be fair, though formally in place since 1996, the European leniency program became only an effective enforcement mechanism as of 2002.

  7. Of course, a weaker assumption than perfect information of the second firm might be compatible with the reasoning that this party is better informed than the AA. We do not believe though that such a more general assumption would change our results qualitatively.

  8. A full British rule means that the losing party must pay all litigation expenses as it is the legal standard in most European jurisdiction. See Farmer and Pecorino (1999) for an economic analysis of this rule.

  9. In our model reporting will always occur before a trial. In theory one could consider also reports to the AA after a trial. However, as trials are usually more expensive than providing evidence to the AA, we consider a reverse order as unlikely to occur in practice.

  10. We follow the common assumption that the probability of investigation and conviction are exogenously given. This approach was has also been used by Calcagno (2012). McAfee et al. (2008) assume instead that the authority is an active welfare-maximizing player. This approach is incompatible with payoffs of the AA determined by gains from the action of firm 1, since then the AA would never intervene as fines are ex-post welfare-neutral. Rather, they assume that all payoffs are reset to zero after a conviction by the AA. Hence, their model is more applicable to ex-ante regulation. Exogenous enforcement is also common in the literature on antitrust enforcement, such applied for example by Motta and Polo (2003).

  11. See Schinkel and Tuinstra (2006) for a discussion of the assumption of symmetric error probabilities.

  12. As Katsoulacos and Ulph (2009) have shown, positive error probabilities are also the outcome of an optimal decision theoretic approach of antitrust authorities desiring to minimize the sum of welfare costs of type I and type II errors and of administrative costs. While exogenous arrors are a shortcut, they mimic the behaviour of an optimally behaving AA.

  13. Remember that we assume that firm 2 knows ex-ante whether the action of firm 1 breached competition law, or it can manipulate the AA to investigate a procompetitive action resulting in a fine on an innocent firm, just as it can bring about both legitimate and frivolous lawsuits.

  14. Likewise we abstract from any possibility of settlements, be in between firm 1 and the antitrust authority or between firm 1 and firm 2. See Choné et al. (2014) and Hylton and Cho (2013) for recent analyses of settlements in the antitrust context.

  15. Note, that the court decision as a pure stochastic variable also neglects that the judge could update its belief on the competitive nature based on firm 2’s decision whether to report to the AA, similar to judge behaviour in Shin (1998).

  16. European enforcement design rules out treble damages.

  17. This seems to happen by the observation that in the US the number of private prosecutions is about ten times larger than the number of public prosecutions, as is reported by Segal and Whinston (2007).

  18. Of course, we would arrive at a less extreme result if firms would not always have the to exclusively choose between a procompetitive and an anticompetitive actions or if expected monetary sanctions would differ.

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Acknowledgments

This article is a revision of the first chapter of my doctoral thesis “Essays on the economic analysis of competition law enforcement”. The thesis was completed in 2014 at the Department of Economics at the University of Konstanz. Part of this article was written while I visited the Center for Advanced Studies in Law and Economics (CASTLE) at the University of Bonn. I am grateful for helpful comments from Tim Friehe, seminar audiences in Konstanz and Strasbourg and from an anonymous referee.

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Appendix

Appendix

1.1 Proof of Corollary 3

For the first statement, see that an increase in \(\kappa _1\) increases all \(\overline{c}^{NT}_{AC}\), \(\overline{c}^{T}_{AC}\), \(\overline{c}^{NT}_{PC}\) and \(\overline{c}^{NT}_{PC}\) as can be seen from (2), (4), (9) and (11), whereby all \(c_i\) for \(i=1,...,6\) increase. If \(c_1\) and \(c_2\) increase, the threshold for trials increasing AC deterrence strictly increases for the affected \(c\) from minimally \(\rho _5\) to maximally \(\rho _1\). For an increase in \(c_3\) the trial deterrence threshold for affected \(c\) increases from \(\rho _3\) to \(\rho _5\). For increases in \(c_4\) and \(c_5\) the threshold strictly increases from minimally \(\rho _2\) to maximally \(\rho _3\). For an increase in \(c_6\) the threshold for affected \(c\) decreases from \(\rho _1\) to \(\rho _2\). This completes the proof for the first statement.

For the second statement, see that an increase in \(\kappa _2\) decreases \(\overline{c}^{T}_{AC}\) and \(\overline{c}^{T}_{PC}\) while it does not affect \(\overline{c}^{NT}_{AC}\) and \(\overline{c}^{NT}_{PC}\), whereby the value \(c_1\), \(c_2\), \(c_4\) and \(c_5\) decrease while \(c_3\) and \(c_6\) are not affected. Together with the arguments how changes in \(c\) affect the trial impact threshold in the proof of the first statement, this completes the proof of the second statement.

For the third statement, see that an increase in \(\kappa _3\) increases \(\overline{c}^{T}_{AC}\) and \(\overline{c}^{T}_{PC}\) while it does not affect \(\overline{c}^{NT}_{AC}\) and \(\overline{c}^{NT}_{PC}\), whereby the value \(c_1\), \(c_2\), \(c_4\) and \(c_5\) increase while \(c_3\) and \(c_6\) are not affected. Together with the arguments how changes in \(c\) affect the threshold in the proof of the first statement, this completes the proof of the third statement.

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Reuter, T. Private antitrust enforcement and the role of harmed parties in public enforcement. Eur J Law Econ 41, 479–507 (2016). https://doi.org/10.1007/s10657-015-9495-y

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