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Minimum-Effort Coordination Games: Stochastic Potential and Logit Equilibrium
Authors:Simon P Anderson  Jacob K Goeree  Charles A Holt
Institution:a Department of Economics, University of Virginia, Charlottesville, Virginia, 22903-3328;b Department of Economics, University of Virginia, Charlottesville, Virginia, 22903-3328;c University of Amsterdam, Roetersstraat 11, 1018 WB, Amsterdam, The Netherlands;d Department of Economics, University of Virginia, Charlottesville, Virginia, 22903-3328
Abstract:This paper revisits the minimum-effort coordination game with a continuum of Pareto-ranked Nash equilibria. Noise is introduced via a logit probabilistic choice function. The resulting logit equilibrium distribution of decisions is unique and maximizes a stochastic potential function. In the limit as the noise vanishes, the distribution converges to an outcome that is analogous to the risk-dominant outcome for 2 × 2 games. In accordance with experimental evidence, logit equilibrium efforts decrease with increases in effort costs and the number of players, even though these parameters do not affect the Nash equilibria. Journal of Economic Literature Classification Numbers: C72, C92.
Keywords:coordination game  logit equilibrium  stochastic potential
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