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Robust Quantitative Comparative Statics for a Multimarket Paradox

机译:多市场悖论的强大定量比较静态

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We introduce a quantitative approach to comparative statics that allows to bound the maximum effect of an exogenous parameter change on a system’s equilibrium. The motivation for this approach is a well-known paradox in multimarket Cournot competition, where a positive price shock on a monopoly market may actually reduce the monopolist’s profit. We use our approach to quantify for the first time the worst-case profit reduction for multimarket oligopolies exposed to arbitrary positive price shocks. For markets with affine price functions and firms with convex cost technologies, we show that the relative profit loss of any firm is at most 25%, no matter how many firms compete in the oligopoly. We further investigate the impact of positive price shocks on total profit of all firms as well as on social welfare. We find tight bounds also for thesemeasures showing that total profit and social welfare decreases by at most 25% and 16.6%, respectively. Finally, we show that in our model, mixed, correlated, and coarse correlated equilibria are essentially unique, thus, all our bounds apply to these game solutions, as well.
机译:我们将一种定量方法引入了比较静态,该方法允许绑定外源参数变化对系统平衡的最大效果。这种方法的动机是多市场古尔诺竞赛中众所周知的悖论,在垄断市场上的正价冲击实际上可能会降低垄断者的利润。我们使用我们的方法首次量化了暴露于任意正价冲击的多市场寡头的最差案例利润。对于具有仿射价格功能的市场和具有凸成本技术的公司,我们表明,无论有多少公司在寡头垄断中竞争,任何公司的相对利润损失最多都是25%。我们进一步研究了正价冲击对所有公司总利润以及社会福利的总利润的影响。我们发现,对于这些措施,表明总利润和社会福利最多减少了25%和16.6%。最后,我们表明,在我们的模型中,混合,相关和粗相关的平衡本质上是独一无二的,因此,我们所有的界限也适用于这些游戏解决方案。

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