SFB 303 Discussion Paper No. A - 559


Author: Chen, Yan
Title: Supermodularity of Nash-Efficient Public Good Mechanisms
Abstract: We present a new family of mechanisms which implement Lindahl allocations in Nash equilibrium in a general environment. In a quasilinear environment the new family of mechanisms are supermodular games with suitable choice of parameters, which implies that they converge under a wide class of learning dynamics, including Bayesian learning, adaptive learning, fictitious play and many others. Among the existing public goods mechanisms whose Nash equilibria are Pareto efficient, we find that the Groves-Ledyard mechanism is a supermodular game when the punishment parameter is sufficiently high, while none of the existing game forms which implements Lindahl allocation is supermodular. This provides a theoretical explanation for the experimental findings on the dynamic stability of public goods mechanisms in Chen and Plott (1996) and Chen and Tang (1996).
Keywords: public goods mechanisms, supermodular games
JEL-Classification-Number: H41, C62, D83
Creation-Date: October 1997 
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