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A Fast and Simple Algorithm for Computing Market Equilibria

机译:一种计算市场均衡的快速简便算法

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We give a new mathematical formulation of market equilibria using an indirect utility function: the function of prices and income that gives the maximum utility achievable. The formulation is a convex program and can be solved when the indirect utility function is convex in prices. We illustrate that many economies includingrn1. Homogeneous utilities of degree α ∈ [0,1] in Fisher economies -this includes Linear, Leontief, Cobb-Douglasrn2. Resource allocation utilities like multi-commodity flowsrnsatisfy this condition and can be efficiently solved.rnFurther, we give a natural and decentralized price-adjusting algorithm in these economies. Our algorithm, mimics the natural tatonnement dynamics for the markets as suggested by Walras: it iteratively adjusts a good's price upward when the demand for that good under current prices exceeds its supply; and downward when its supply exceeds its demand. The algorithm computes an approximate equilibrium in a number of iterations that is independent of the number of traders and is almost linear in the number of goods. Interestingly, our algorithm applies to certain classes of utility functions that are not weak gross substitutes.
机译:我们使用间接效用函数给出了市场均衡的新数学公式:价格和收入函数可实现最大效用。该公式是一个凸程序,当间接效用函数的价格为凸时可以解决。我们说明了许多经济体,包括rn1。费希尔经济中α∈[0,1]的同质效用-包括线性,Leontief,Cobb-Douglasrn2。资源分配实用程序(如多商品流程)满足了此条件,并且可以有效解决。此外,我们在这些经济体中给出了自然的,分散的价格调整算法。我们的算法模仿了Walras的建议,模拟了市场的自然皮革动态:当商品的需求在当前价格下超过其供应时,它会反复向上调整商品的价格;当供应超过需求时下降。该算法通过多次迭代计算近似均衡,该迭代与交易者数量无关,并且商品数量几乎是线性的。有趣的是,我们的算法适用于不是弱总替代品的某些类的效用函数。

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