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Tacit collusion and liability rules

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Abstract

This paper demonstrates that the likelihood of tacit collusion in a given oligopolistic industry may depend on the kind of liability rule applied to the industry. We study typical settings for the analysis of product liability and environmental liability. For the latter, it is established that tacit collusion is more likely under strict liability than under negligence. However, the two liability rules are equivalent with regard to their effects on tacit collusion in the model pertaining to product liability. This context-dependent impact on tacit collusion can be traced back to a difference in the shape of firms’ cost functions.

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Notes

  1. See for instance, Chapter 6 in Tirole (1988) for a textbook representation of the model of collusion.

  2. For instance, Symeonidis (2002) argues that “a standard way to examine the impact of exogenous factors on cartel sustainability [\(\ldots\)] is to examine the comparative static properties of the critical discount factor. In particular, a change in any exogenous variable that causes the critical discount factor to increase makes collusion less likely, since collusion is then sustainable for a smaller set of deltas [discount factors].”

  3. We use the product and environmental liability settings primarily to motivate the different structures of firms’ objective functions, as these structures are fairly standard in the respective literature. However, we do not claim that the two structures are restricted to these domains. Indeed, Polinsky (1980) contributes to the literature on product liability using a model more comparable to the one used in our section on environmental liability. See also Marino (1988a, b) and the recent contribution by Daughety and Reinganum (2011) on product liability with disproportional expected harm.

  4. Given that firms are symmetric, we will suppress the firm index i at times.

  5. The ‘no cost’-assumption is innocuous as long as there is no interaction between production costs and liability rules.

  6. We consider the standard formulation of private costs under negligence in which the injurer is responsible for the full level of harm upon breach of the regulatory duty (e.g., Shavell 1987, 2007). There are other formulations that create incentives not necessarily identical to those of the standard model (see e.g., Kahan 1989).

  7. Obvious examples of local pollution are noise, odors, and vibrations. However, there are also more conventional air pollutants that are considered to be local. Among these are soot and dust (unless disseminated by tall chimneys), as well as all heavy gases (including xenon (Xe) and sulfur hexafluoride (SF6)). The densities of these gases are greater than that of air; consequently, they disperse only in the vicinity of their point of emission.

  8. Polinsky and Rogerson (1983) compare alternative liability rules in the product-liability context in which consumers underestimate harm and producers have market power. In their analysis of negligence, it is assumed that the standard of care minimizes the sum of care costs and expected accident losses.

  9. Compliance with a fixed standard would imply that profits are reduced by a constant amount based on abatement costs at the regulatory standard in each of the three states K, C, and D.

  10. The fact that these terms are exactly half the size of the terms under strict liability is an artefact of the specifications of our concrete example. However, the gist of the argument generalizes to other settings.

  11. The unconstrained maximization of firm profits given D i  = D yields a price in excess of p K BE , which implies that the firm’s best constrained choice is to select \(p_{BE}^{K}-\epsilon\) with \(\epsilon\rightarrow 0\) (given the constraint defined by the demand function and the prices of the other firms).

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Acknowledgments

I am indebted to Florian Baumann, Alfred Endres, and an anonymous referee for their very helpful suggestions.

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Correspondence to Tim Friehe.

Appendix

Appendix

In the main text, we analyze the case in which firms compete in quantities. As a check for robustness, we now briefly consider the scenario in which firms compete in prices (i.e., Bertrand competition). The individual demand for firm i is given by

$$ D_{i}=\left\{ \begin{array}{ll} D(p_{i}) &\hbox{if}\; p_{i} <\; \hbox{inf}(P_{-i}) \\ D(p_{i})/m &\hbox{if}\; p_{i}=\hbox{inf}(P_{-i}) \\ 0 &\hbox{if}\; p_{i}>\hbox{inf}(P_{-i}). \\ \end{array} \right.$$
(43)

where P i is the set of prices set by the other firms, m ≤ n is the number of firms setting the lowest price in the second line, and D(p) = a/b − p/b follows from the inverted demand function used in the main text.

Product liability:

Firms have the same constant marginal costs per unit of output, the level of which depends on the liability rule applied to the industry. Firms do not incur fixed costs and do not face capacity constraints. Denoting with π M BP the monopoly profits in the Bertrand product liability game, the central condition defining the critical discount factor can be stated as

$$ \frac{\pi_{BP}^{M}}{n(1-\bar{\delta}_{BP})}=\pi_{BP}^{M}. $$
(44)

Loyalty to the cartel agreement implies that monopoly profits are shared equally between the firms, whereas the one-time deviation profit would imply that the deviating firm obtains all the monopoly profits for itself. The punishment phase in this context implies profits of zero since equilibrium prices are equal to constant marginal costs. The statement of Eq. (44) clearly shows that the discount factor is not a function of the level of marginal costs (i.e., it is not dependent on whether the industry is subject to strict liability or negligence).

Environmental liability:

In our environmental liability framework, symmetric firms have strictly convex costs, where levels of both costs and marginal costs are higher when firms are subject to strict liability for a given level of firm output. Starting from the general definition of individual profits,

$$ \bar{\pi}_{i}=D_{i} p_{i}-\kappa D_{i}^{2} $$
(45)

we derive that the price level that maximizes joint profits is subject to the condition that all firms actually produce in equilibrium as

$$ p_{BE}^{K}=\frac{a(bn+2 \kappa)}{2(bn+\kappa)}, $$
(46)

which in turn implies

$$ \pi^{K}_{BE}=\frac{a^{2}}{4\kappa+4bn}. $$
(47)

When firm i deviates and marginally undercuts p K BE ,Footnote 11 we obtain

$$ \pi^{D}_{BE}=\frac{a^{2}n((b-\kappa)n+2\kappa)}{4(\kappa+bn)^2}. $$
(48)

The period profit from deviating always exceeds the firm profit from being in the cartel when b > κ. In this case, the critical discount factor follows from

$$ \frac{\pi_{BE}^{K}}{1-\bar{\delta}_{BE}}=\pi_{BE}^{D}, $$
(49)

when we assume that the equilibrium in the case of firm competition in prices implies zero firm profits. Weibull (2006) analyzes the case in which firms with convex costs compete in prices, establishing that there generally are different possible equilibria, including the equilibrium implying zero profits. Most important for the present study is that the critical discount factor \(\bar{\delta}_{BE}=(\pi_{BE}^{D}-\pi_{BE}^{K})/\pi_{BE}^{D}\) decreases as the level of κ increases, since

$$ \frac{d \bar{\delta}_{BE}}{d \kappa}=\frac{b-bn}{((b-\kappa)n+2\kappa)^{2}}<0 $$
(50)

Consequently, the likelihood of tacit collusion is higher when firms are subject to strict liability (as was true in our model of Cournot competition).

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Friehe, T. Tacit collusion and liability rules. Eur J Law Econ 38, 453–469 (2014). https://doi.org/10.1007/s10657-012-9346-z

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