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Fixed-point approaches to computing bertrand-nash equilibrium prices under mixed-logit demand

机译:混合logit需求下计算伯特兰-纳什均衡价格的定点方法

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摘要

This article describes numerical methods that exploit fixed-point equations equivalent to the first-order condition for Bertrand-Nash equilibrium prices in a class of differentiated product market models based on the mixed-logit model of demand. One fixed-point equation is already prevalent in the literature, and one is novel. Equilibrium prices are computed for the calendar year 2005 new-vehicle market under two mixed-logit models using (i) a state-of-the-art variant of Newton's method applied to the first-order conditions as well as the two fixed-point equations and (ii) a fixed-point iteration generated by our novel fixed-point equation. A comparison of the performance of these methods for a simple model with multiple equilibria is also provided. The analysis and trials illustrate the importance of using fixed-point forms of the first-order conditions for efficient and reliable computations of equilibrium prices.
机译:本文介绍了一种数值方法,该方法利用定点方程式等效于Bertrand-Nash均衡价格的一阶条件,该方法基于需求的混合对数模型在一类差异产品市场模型中。一个定点方程在文献中已经很普遍,而一个则是新颖的。使用以下两种混合对数模型计算2005日历年新车市场的均衡价格:(i)适用于一阶条件的牛顿法的最新变体以及两个定点方程和(ii)由我们新颖的定点方程生成的定点迭代。还提供了这些方法对具有多个均衡的简单模型的性能的比较。分析和试验说明了使用一阶条件的定点形式进行有效而可靠的均衡价格计算的重要性。

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