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No Regret Learning in Oligopolies: Cournot vs. Bertrand

机译:在寡头群体中没有遗憾的学习:古诺与贝特朗

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摘要

Cournot and Bertrand oligopolies constitute the two most prevalent models of firm competition. The analysis of Nash equilibria in each model reveals a unique prediction about the stable state of the system. Quite alarmingly, despite the similarities of the two models, their projections expose a stark dichotomy. Under the Cournot model, where firms compete by strategically managing their output quantity, firms enjoy positive profits as the resulting market prices exceed that of the marginal costs. On the contrary, the Bertrand model, in which firms compete on price, predicts that a duopoly is enough to push prices down to the marginal cost level. This suggestion that duopoly will result in perfect competition, is commonly referred to in the economics literature as the "Bertrand paradox". In this paper, we move away from the safe haven of Nash equilibria as we analyze these models in disequilibrium under minimal behavioral hypotheses. Specifically, we assume that firms adapt their strategies over time, so that in hindsight their average payoffs are not exceeded by any single deviating strategy. Given this no-regret guarantee, we show that in the case of Cournot oligopolies, the unique Nash equilibrium fully captures the emergent behavior. Notably, we prove that under natural assumptions the daily market characteristics converge to the unique Nash. In contrast, in the case of Bertrand oligopolies, a wide range of positive average payoff profiles can be sustained. Hence, under the assumption that firms have no-regret the Bertrand paradox is resolved and both models arrive to the same conclusion that increased competition is necessary in order to achieve perfect pricing.
机译:古诺(Cournot)和贝特朗(Bertrand)寡头垄断是企业竞争的两种最普遍的模型。对每个模型中纳什均衡的分析揭示了有关系统稳定状态的独特预测。令人震惊的是,尽管两个模型相似,但它们的投影却暴露出明显的二分法。在古诺模型下,公司通过战略性地管理其产量来竞争,当市场价格超过边际成本时,公司将获得正利润。相反,企业竞争价格的伯特兰模型预测,双头垄断足以将价格推低至边际成本水平。关于双头垄断将导致完全竞争的这一建议在经济学文献中通常被称为“贝特朗悖论”。在本文中,当我们在最小行为假设下分析不平衡模型时,我们会远离纳什均衡的避风港。具体来说,我们假设公司会随着时间的推移调整其策略,因此事后看来,任何单个偏离策略都不会超过其平均收益。有了这种无悔的保证,我们证明了在古诺寡头的情况下,唯一的纳什均衡完全捕获了紧急行为。值得注意的是,我们证明,在自然假设下,每日市场特征会收敛到唯一的纳什。相反,就Bertrand寡头而言,可以维持广泛的正平均收益分布。因此,在企业无悔的假设下,伯特兰悖论得以解决,并且两个模型得出的结论是,为了达到理想的定价,必须增加竞争。

著录项

  • 来源
    《Algorithmic game theory》|2010年|p.300-311|共12页
  • 会议地点 Athens(GR);Athens(GR)
  • 作者

    Uri Nadav; Georgios Piliouras;

  • 作者单位

    Department of Computer Science, Stanford University, Stanford CA 94305;

    Department of Computer Science, Cornell University, Ithaca NY 14853;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算机软件;
  • 关键词

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