In this paper we show that, if demand varies stochastically, and firms compete after the realization of demand shocks, the strategy space may be inferred from market evidence. The key idea is that, in equilibrium, each firm acts as a monopolist, choosing the optimal price-quantity combination...

In this paper, we represent 'meet the competition' guarantees as the endogenous outcome of a non-cooperative game. We model the phenomenon by assuming that firms compete in supply schedules in a two-stage process. We assume that the choice of a negatively sloped supply schedule is costly. In...

We explore the relationship between the choice of the strategy space and outcomes in Tullock contests. In particular, in a framework where one of the contest's participants moves first, we show that there is an equilibrium where this individual wins the contest with probability one. We also show...

We specify an oligopoly game, where firms choose quantity in order to maximise profits, that is strategically equivalent to a standard Tullock rent-seeking game. We then show that the Tullock game may be interpreted as an oligopsonistic market for influence.Alternative specifications of the...

Game-theoretic analysis is a well-established part of the toolkit of economic analysis. In crucial respects, however, game theory has failed to deliver on its original promise of generating sharp predictions of behavior in situations where neoclassical microeconomics has little to say....

We introduce the notion of an outcome space, in which strategic interactions are embedded. This allows us to investigate the idea that one strategic interaction might be an expanded version of another interaction. We then characterize the Nash equilibria arising in such extensions and...

This paper investigates the optimality of sharp incentives in contracts where output prices are set at the time of contracting but are random in nature. It shows that when prices are specified with error, schemes involv- ing sharp incentives might result in substantial deviations from first-best...