This paper examines collusion among firms whose discount factors are private information. Mutual uncertainty regarding intentions to restrict competition might undermine the possibility of tacit collusion. Firms that want to collude may, however, reveal their intentions by consciously acting in breach of antitrust laws. As antitrust activity makes explicit collusion costly in expected terms, it can potentially be (ab)used as signaling device. We show that the fight against cartels may indeed facilitate collusion.
A, if not the, prime purpose of antitrust agencies around the globe is to deter cartel formation. Nevertheless, and despite the enhanced enforcement efforts over the last decades, new cartels are discovered each year. As recently stated by Levenstein and Suslow (2012, 2–3):
The incentive to coordinate behavior in order to increase profits is a powerful one. Despite the now widespread legal prohibitions on explicit coordination, firms continue to form cartels to restrict output or set prices.
Perhaps the most surprising thing about cartels is how pervasive they are. Over a century after the United States first adopted laws making price-fixing a felony, and two decades after the U.S., the European Commission, and competition authorities around the world reached consensus that hard core cartels would not be tolerated, cartels continue to form.
These observations raise the question of why companies continue to act in violation of antitrust laws. In this paper, we provide a rationale for the persistence of cartel formation. We show that firms may fix their prices precisely because it is prohibited.
Our theory is based on the recognition that firms might be uncertain about each other’s intentions to collude. In the context of repeated games, these intentions are reflected by a discount factor that firms use to determine the present value of expected cash flows. There are several other interpretations of the discount factor. It is frequently referred to as “level of patience”. Alternatively, one can view it as “probability of a future” (i.e. a stop probability). As is well known, effective collusion commonly requires conspirators to assign enough weight to future profits. A sufficiently high discount factor enables the adoption of punishment strategies to discourage participants from cheating on the agreement. As collusive contracts (such as price-fixing) typically cannot be enforced in court, this holds independent of whether firms use express or implicit communication to establish and sustain the cooperation. That is, both explicit and tacit collusive agreements must be self-enforcing.
In a recent paper, Harrington and Zhao (2012) have shown that tacit collusion can be quite a challenge for firms that have incomplete knowledge about each other’s intentions to collude. Specifically, they study an infinitely repeated prisoners’ dilemma in which discount factors are private information. Firms have either a low or a high discount factor, and only the latter is capable of sustaining supra-competitive prices. In this setting, a firm that is eager to collude faces the problem that its rival may not be willing to elevate prices. This firm can try to reveal its intentions by increasing its price, but this is a risky strategy as it may not be matched by its competitor. To avoid the risk of losing business, it can alternatively wait in the hope that its rival will initiate collusion. Harrington and Zhao (2012) find that in this case it might take long before firms come to a collusive agreement and that an agreement may not be reached at all.
This finding naturally leads to the question of whether firms can do better by colluding explicitly. To address this issue, we consider a similar setting as Harrington and Zhao (2012) and extend it by giving firms the opportunity to communicate directly. Specifically, each firm has to indicate at the beginning of the game whether it wants to engage in a cartel. In case of consensus, the cartel is formed. In principle, the possibility of express communication will not be of much help in this context when talking is cheap. However, firms can make communication costly by consciously acting in breach of antitrust laws. Gathering to discuss selling prices, for example, makes communication costly in expected terms due to antitrust enforcement. Additionally, there may be costs associated with setting up and maintaining the agreement (e.g. bargaining and monitoring).
The fact that forming a cartel is not cheap potentially provides an opportunity for firms to signal their intentions. We start our analysis by deriving conditions under which tacit collusion is not feasible. Then, given these conditions, we prove the existence of a chatty equilibrium in which firms with a high discount factor find it profitable to collude explicitly. This requires that forming the cartel agreement is costly, but not too costly. It must be sufficiently costly to ensure that only firms capable of collusion have an incentive to communicate. At the same time, it should not be too costly so that cartel formation is still profitable. Additionally, we show that there are always conditions under which firms find it profitable to form a cartel, even when the cartel gets caught. Part of the reason is that cartel participants know each other’s type and therefore can continue colluding tacitly after the cartel has been discovered and prosecuted. Thus, antitrust agencies can make cartel formation less attractive, but cannot completely avoid being used as signaling device.
With a few exceptions, existing literature on collusion does not make a clear distinction between tacit and explicit collusion. From an enforcement perspective, this is potentially problematic as the former is typically considered legal, whereas the latter is not. As explicit collusion is costly, it is difficult to see why firms would use express communication if the same market outcome could be obtained in a tacit manner. One rationale for explicit collusion is that direct communication helps in coordinating on (more profitable) collusive equilibria. For instance, absent a focal price it may be difficult to coordinate actions without express communication. Moreover, explicit collusion may be more profitable when there is uncertainty about demand. Communication also potentially plays a significant role when firms hold private information about factors that affect the sustainability of collusion (e.g. past actions, actual prices, realized sales). In particular, firms may exchange information to enhance market transparency, thereby reducing the risk of secret price cutting. Our analysis offers an alternative explanation for explicit collusion. In our setting, firms communicate neither to coordinate on a particular (more profitable) equilibrium nor for monitoring purposes. Firms explicitly discuss their prices solely to credibly signal their willingness to collude.
There are a few other studies that also highlight potential adverse effects of antitrust activity. McCutcheon (1997), for instance, argues that the prohibition of price-fixing might facilitate collusion by preventing renegotiations in case of defection, thereby making punishment strategies of cartel participants credible and effective. Bos, Peeters, and Pot (2013) show that when buyers do not instantly respond to price changes, firms may wish to collude explicitly when the probability of getting caught is sufficiently high. In a recent experiment, Andersson and Wengström (2007) find that costly communication leads to higher prices and enhances the stability of cartels. Our analysis adds to these findings by showing that antitrust laws can be (ab)used as signaling device and as such can be considered a facilitating factor for collusion.
This paper proceeds as follows. In the next section, we present the basic structure and assumptions of the model. Section 3 explores possibilities for firms to collude tacitly and explicitly. Specifically, we derive conditions under which tacit collusion is not feasible and show that firms may still be capable of reaching collusive market outcomes through express communication. Section 4 concludes.
We consider collusion in an infinitely repeated prisoners’ dilemma when players’ discount factor is private information. In this section, we present the basic structure of the model.
Let us start with a description of the stage game. There are two profit-maximizing firms, Firm 1 and Firm 2, that choose prices simultaneously. Each firm can either set a high price or a low price . If both firms charge the high price, then each firm receives a “collusive” profit . If prices differ, then the low-priced firm makes a “deviation” profit of . For simplicity, we make the innocuous assumption that the high-priced firm receives zero profit. When both firms choose the low price, each receives a “competitive” profit . We follow the common assumption in theories of collusion that firms face a prisoners’ dilemma when choosing their prices. This corresponds to the following pay-off ranking: . As a result, it is a dominant strategy for both firms to charge the low price and therefore ( , ) constitutes the unique static Nash equilibrium.
In the following, we will study the infinitely repeated version of this game. To formalize, suppose that firms simultaneously set prices in each period . Let denote the action that firm takes at time t. The pair of actions induces a pair of pay-offs and . Accordingly, firm i receives a stream of pay-offs To determine the value of future profits, each firm uses a discount factor . Thus, the present value of receiving at time t is and cumulative profits are given by
Each firm has either a high or a low discount factor: , with . Let be the probability that a firm is of the high type, . With probability , a firm is of the low type, . To establish firms’ discount factors, Nature performs an i.i.d. random draw from the probability distribution over types. After the realization of types, each firm is informed about its own type, but not about the type of its rival. Thus, discount factors are private information.
Apart from the ex ante information on their discount factor, firms are also updated about the pairs of actions that were taken in all previous periods. These updates are recorded in histories. A history is a sequence of pairs of actions . We denote the set of all histories by . Notice that there is only one possible history at time , which is the empty sequence .
A plan of action is a function from the set of histories to the set of actions . The plan of action specifies that, for each history , the action is chosen. In this paper, we consider the choice between a non-collusive and a collusive plan of action. The non-collusive plan of action is defined by for all . In this case, a firm always selects the low price. Alternatively, firms may attempt to collude by means of a grim-trigger strategy. Specifically, the collusive plan of action T is defined by
Suppose that Firm 1 employs plan of action and that Firm 2 employs plan of action . In each period t, these choices induce a realized pair of actions as follows. At time , we define , and . Then, for a given history , , and . The expected pay-off for firm i is then given by
In general, a strategy for firm i is a pair , where and are plans of action. The plan of action specifies that, for each history , firm i will take action at time t when it is of the high type (i.e. ). In a similar vein, the plan of action specifies that, for each history , firm i will take action at time t when it is of the low type (i.e. ).
Consider a pair of strategies and suppose that . In this case, Firm 1 can determine its expected pay-off, , as follows. As it is of the low type, it will employ plan of action . It does not know the discount factor of its rival and, consequently, does not know whether Firm 2 will employ or . All it knows is that Firm 2 will employ with probability and with probability . Its expected pay-off is therefore given by
Let us now direct our attention to possibilities for firms to collude. We start by analyzing tacit collusion and derive conditions under which tacit collusion is not feasible. Then, given these conditions, we show that firms may still be willing and able to collude explicitly. In both cases, the solution concept is a Bayesian Nash equilibrium (BNE).
Bayesian Nash equilibrium. A pair of strategies is a Bayesian Nash equilibrium when
for all strategies of Firm 1, and
for all strategies of Firm 2.
Consider a pair of strategies with . Thus, each firm chooses between the competitive plan of action N and the collusive plan of action T. Let us first focus on the choice of a firm with a low discount factor. The next result shows when holds in equilibrium. The proofs of all results in this section are relegated to the appendix.
Proposition 1. For a firm with a low discount factor, N is a strictly dominant plan of action when
Proposition 2. The pair of strategies is a BNE when
On the basis of the above analysis, we now make the following assumption.
This assumption implies that both firms, independent of their type, prefer to T and therefore excludes the possibility of tacit collusion.
In this section, we add an extra feature to the model by allowing firms to communicate directly and form a cartel. Specifically, after the information phase, both firms have to indicate whether they have an intention to collude. This is modeled as a choice from the set , where A signifies the willingness to cartelize and R signifies refusal to collude. For a cartel to form, both firms have to choose A. We assume that explicit collusion is costly and when both firms choose A, their expected profit is reduced by a lump sum amount . The amount X has a broad interpretation. It may be thought of as an investment of private resources required to form and maintain the cartel agreement. As explicit collusion typically constitutes a violation of antitrust laws, it also captures the anticipated costs of antitrust enforcement (e.g. fines, prison terms, treble damages to private parties). At the end of this section, we provide an example illustrating that X may indeed include both types of costs.
With the above extension, a low-type firm now makes a decision , where is the choice whether to signal intentions to collude, is the plan of action when both firms have indicated their willingness to form a cartel, and is the plan of action when at least one firm refuses to collude. A high-type firm draws a plan in a similar way.
In the following, let the rival of firm i be denoted by j. For a strategy pair , with , the pay-off is defined as follows:
In the following, equilibria of the extended game in which firms have the opportunity to communicate directly are referred to as chatty equilibria.
Chatty equilibrium. A pair of strategies , with , is a chatty equilibrium if
for all strategies of Firm 1, and
for all strategies of Firm 2.
The next result shows when the strategy pair , with , is a chatty equilibrium. In this case, firms with a high discount factor signal their intention to collude and follow the plan of action T accordingly provided that collusion is agreed upon. The non-collusive plan of action N is chosen in all other cases.
Proposition 3. The pair of strategies , with , is a chatty equilibrium when
Proposition 3 provides conditions under which firms find it beneficial to collude explicitly. Firms that are willing and able to collude may successfully engage in a cartel when this is costly, but not too costly. The right inequality, , indicates that talking should not be too cheap. That is, cartel formation must be sufficiently costly to prevent firms that are not willing to cooperate from fooling those that are. The left inequality, , shows that talking should also not be too expensive to ensure that the benefits from forming a cartel outweigh the costs. The next result reveals that the cost level that is required to generate this separating effect can always be realized.
Corollary 4. There exists an X for which the pair of strategies , with , is a chatty equilibrium.
Thus, when tacit collusion is not feasible, firms might still be capable of colluding explicitly provided that the price of forming the agreement is high, but not too high. We would like to emphasize that the above findings do not require the assumed homogeneous pay-offs. In case profits differ, the constraints should hold for each firm individually. Likewise, the costs associated with cartel formation need not be equal across firms. All that is required is that these costs fall within the range as specified in Proposition 3. Yet, even though the same logic applies, firm heterogeneity may make cartel formation more of a challenge.
From a policy perspective, it seems that there is not much antitrust agencies can do to prevent cartel formation from being sufficiently costly. That is to say, the lower bound on X is partly at the discretion of firms and can be arranged to hold by, for example, an up-front participation fee. The same does not necessarily hold for the upper bound on X. Here, antitrust authorities may attempt to make explicit collusion unprofitable by enhancing enforcement efforts. As the next result shows, however, no matter how high the (expected) costs of forming a cartel, it might remain a profitable alternative.
Corollary 5. Fix . There exist a and a such that for all and the pair of strategies , with , is a chatty equilibrium.
For any fixed (expected) cost associated with cartel formation, there are parameter combinations for which explicit collusion is an equilibrium. It should be emphasized that this holds even when the cartel gets caught and the antitrust penalty is exceptionally high. The reason is that, after the cartel is discovered, conspirators can continue colluding tacitly as they know each other’s type. In this respect, it is noteworthy that there are several empirical studies that lend support to this finding. Sproul (1993), for example, discovered that for a sample of industries in which firms were convicted for price-fixing, prices rose in the years following the indictment. Feinberg (1980), Block, Nold, and Sidak (1981), Choi and Philippatos (1983), Newmark (1988) and Harrington (2004) all provide evidence of post-cartel prices that did not (immediately) return to their non-collusive levels. That explicit collusion might effectively set the stage for tacit collusion is also confirmed experimentally by Fonseca and Normann (2012). In principle, there could be several explanations for these observations. For instance, there might have been a substantial rise of input prices during the cartel phase. Also, the convicted cartels might have been efficient, cost-reducing coalitions. Our analysis suggests an alternative explanation, namely that tacit collusion has replaced explicit collusion.
The above analysis does not imply that the main goal of achieving full deterrence is idle. Clearly, deterrence may be achieved through the imposition of sufficiently draconic punishments. In practice, however, it is difficult to determine when the (expected) penalty is “sufficiently draconic”. Indeed, an implication of Corollary 5 is that antitrust policy cannot ensure deterrence. The reason being that key traits, such as a firm’s discount factor and the probability that this discount factor is sufficiently high, are difficult, if not impossible, to assess. The inability to accurately determine relevant firm characteristics prevents, or at least impairs, the imposition of sentences that are both adequate and realistic. Let us conclude this section with a simple example to illustrate this point.
Example 1 Suppose that X is given by
where captures the investment of private resources to form and maintain the cartel, is the per-period probability of being caught and F is the antitrust penalty in case of conviction.
By Proposition 3, cartel formation is deterred when
Apart from the fact that antitrust enforcement may be insufficient to deter explicit collusion, it may also facilitate cartel formation. To see this, suppose that . Thus, absent antitrust, firms do not find it beneficial to collude. Yet, introducing antitrust policy may allow firms to collude when the expected penalty is such that
Firms might be unable to reach collusive market outcomes in a tacit manner when they are uncertain about each other’s intentions to collude. In this case, we have shown that consciously acting in breach of antitrust laws can be a profitable alternative. As antitrust enforcement makes explicit collusion costly in expected terms it potentially allows those eager to collude to reveal their true intentions. The underlying logic is similar to the “blood-in” strategy as sometimes employed by criminal gangs. This strategy urges a person who wants to join a gang to kill somebody in order to prove that he is a trustworthy partner in crime. In a related fashion, albeit less dramatic, firms may show their willingness to collude by gathering together and explicitly discuss their selling prices. Antitrust may thus effectively function as signaling device, thereby facilitating collusion.
The theory presented in this paper is not limited to cartel formation, but also applicable to some legal cooperative arrangements between firms. For example, in a notable number of instances firm alliances are equity-based joint-ventures. It is well known that these type of arrangements align the interests of firms participating in the partnership. Our analysis then suggests that uncertainty about the intentions of partner firms may be resolved by such costly up-front equity investments. Moreover, and consistent with our theory, repeated ties between firms that have been engaged in an equity-based cooperative relationship are more likely to be based on a less costly non-equity partnership.
We appreciate the comments and suggestions of Stephen Davies, Stephen Martin, Igor Mouraviev, Ronald Peeters, Simen Ulsaker, Ralph Winter, seminar participants at the University of Bonn, the 2013 European Association for Research in Industrial Economics Conference, the 2014 International Industrial Organization Conference, the University of Groningen and two anonymous referees. All opinions and errors are ours alone.
Proof of Proposition 1 Suppose that a firm with a low discount factor is confronted with a competitor that employs plan of action N. The plan of action N gives a strictly higher pay-off when
Next, suppose that a firm with a low discount factor is confronted with a competitor that employs plan of action T. The plan of action N gives a strictly higher pay-off when
Proof of Proposition 2 Suppose that a firm with a high discount factor faces a competitor that employs strategy . The plan of action T gives a weakly higher pay-off than N when
Proof of Proposition 3 Consider firm i and suppose that the strategy of its rival is . We check under which conditions is a best response.
To begin, suppose that firm i has a low discount factor. Given the above pair of strategies, it will reject collusion and choose N. As collusion is rejected, its rival will choose N regardless of its type. Its pay-off is therefore given by
Now suppose that firm i chooses A instead. In that case, it faces a competitor that plays T when of the high type and N when of the low type. Since for a low type it is always a best response to play N, its pay-off is given by
Thus, the equilibrium condition for this case is
Next, suppose that firm i has a high discount factor. According to , firm i colludes with firm j when firm j is also of the high type, but not when firm j is of the low type. Hence, its expected pay-off in this case is given by
(1) Suppose that firm i chooses R. In this case, it faces a competitor that plays N, irrespective of firm j’s type. Consequently, it is a best response for firm i to also play N, which gives a pay-off
Thus, the equilibrium condition is
which is equivalent to
(2) Now suppose that firm i chooses A. In this case, it faces a competitor that plays T when of the high type and N when of the low type. If firm i now chooses N instead, its pay-off is
Therefore, the equilibrium condition in this case is
which holds by Assumption 1.
Proof of Corollary 4 By Proposition 3, it must hold that . There exists an X for which this condition is satisfied when . Rearranging gives , which holds by Assumption 1.
Proof of Corollary 5 By Proposition 3, it must hold that . By assumption, . The condition is satisfied when . In addition, we know by Assumption 1 that
As , if , then . Thus, there exists a for which , with , is a chatty equilibrium when
Observe that this requirement holds for and does not hold for . It is straightforward to check that this inequality holds for any .
Andersson, O., and E.Wengström. 2007. “Do Antitrust Laws Facilitate Collusion? Experimental Evidence on Costly Communication in Duopolies.” Scandinavian Journal of Economics109(2):321–39. Search in Google Scholar
Block, M. K., F. C.Nold, and J. G.Sidak. 1981. “The Deterrent Effect of Antitrust Enforcement.” Journal of Political Economy89(3):429–45. Search in Google Scholar
Bos, I., R.Peeters, and E.Pot. 2013. “Do Antitrust Agencies Facilitate Meetings in Smoke-Filled Rooms?” Applied Economics Letters20(6):611–14. Search in Google Scholar
Choi, D., and G. C.Philippatos. 1983. “Financial Consequences of Antitrust Enforcement.” Review of Economics and Statistics65(3):501–6. Search in Google Scholar
Compte, O. 1998. “Communication in Repeated Games with Imperfect Private Monitoring.” Econometrica66(3):597–626. Search in Google Scholar
Davies, S. W., and M.Olczak. 2008. “Tacit Versus Overt Collusion. Firm Asymmetries and Numbers: What’s the Evidence?” Competition Policy International4(2):175–200. Search in Google Scholar
Feinberg, R. M. 1980. “Antitrust Enforcement and Subsequent Price Behavior.” Review of Economics and Statistics62(4):609–12. Search in Google Scholar
Fonseca, M. A., and H.-T.Normann. 2012. “Explicit Vs. Tacit Collusion: The Impact of Communication in Oligopoly Experiments.” European Economic Review56(8):1759–1772. Search in Google Scholar
Genesove, D., and P.Mullin. 2001. “Rules, Communication, and Collusion: Narrative Evidence from the Sugar Institute Case.” American Economic Review91(3):379–398. Search in Google Scholar
Gulati, R. 1995. “Does Familiarity Breed Trust? the Implications of Repeated Ties for Contractual Choice in Alliances.” Academy of Management Journal38(1):85–112. Search in Google Scholar
Harrington, J. E. Jr. 2004. “Post-Cartel Pricing during Litigation.” Journal of Industrial Economics52(4):517–33. Search in Google Scholar
Harrington, J. E. Jr., and A.Skrzypacz. 2011. “Private Monitoring and Communication in Cartels: Explaining Recent Collusive Practices.” American Economic Review101:1–25. Search in Google Scholar
Harrington, J. E. Jr., and W.Zhao. 2012. “Signaling and Tacit Collusion in an Infinitely Repeated Prisoners’ Dilemma.” Mathematical Social Sciences64(3):277–89. Search in Google Scholar
Kandori, M., and H.Matsushima. 1998. “Private Observation, Communication and Collusion.” Econometrica66(3):627–52. Search in Google Scholar
Kaplow, L. 2011. “On the Meaning of Horizontal Agreements in Competition Law.” California Law Review99(3):683–818. Search in Google Scholar
Levenstein, M., and V.Suslow. 2012. “Cartels and Collusion: Empirical Evidence.” Ross School of Business Working Paper, No. 1182. Search in Google Scholar
Martin, S. 2006. “Competition Policy, Collusion and Tacit Collusion.” International Journal of Industrial Organization24(6):1299–332. Search in Google Scholar
McCutcheon, B. 1997. “Do Meetings in Smoke-Filled Rooms Facilitate Collusion?” Journal of Political Economy105(2):330–50. Search in Google Scholar
Motta, M. 2004. Competition Policy: Theory and Practice. New York: Cambridge University Press. Search in Google Scholar
Mouraviev, I. 2012. “Overt Collusion under Competition Enforcement.” Discussion Paper. Search in Google Scholar
Newmark, C. M. 1988. “Is Antitrust Enforcement Effective?” Journal of Political Economy96(6):1315–28. Search in Google Scholar
Pisano, G. P. 1989. “Using Equity Participation to Support Exchange: Evidence from the Biotech Industry.” Journal of Law, Economics and Organization5(1):109–26. Search in Google Scholar
Shapley, L. S. 1953. “Stochastic Games.” Proceedings of the National Academy of Sciences USA39(10):1095–100. Search in Google Scholar
Sproul, M. F. 1993. “Antitrust and Prices.” Journal of Political Economy101(4):741–54. Search in Google Scholar
Whinston, M. D. 2006. Lectures on Antitrust Economics. Cambridge, MA: MIT Press. Search in Google Scholar
©2015 by De Gruyter