A War of Attrition with Experimenting Players

ERN: Search Pub Date : 2017-10-20 DOI:10.2139/ssrn.3057869
Chia-Hui Chen, J. Ishida
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引用次数: 4

Abstract

A standard incomplete-information war of attrition is extended to incorporate experimentation and private learning. We obtain a characterization of all equilibria in this extended setup and use this setup to illuminate a tradeoff between short-run and long-run gains of experimentation. The extension yields qualitative impacts on the strategic nature of the problem. The option value of experimentation serves as a credible commitment device to stay in the game, which is instrumental in inducing the other player to concede earlier. As a direct consequence, there may be an equilibrium in which the strictly less efficient player can get the better end of the deal, implying that slow learning can be a blessing in this type of competition. Our analysis gives insight into why an apparently inferior technology often survives in many standards competitions and more broadly offers implications for technology adoption and industry dynamics. We also show that there is a non-degenerate set of parameters that can support the Pareto-efficient allocation as an equilibrium outcome whereas it is never possible in the standard setup.
与实验玩家的消耗战
一个标准的不完全信息消耗战被扩展到结合实验和私人学习。我们在此扩展设置中获得了所有均衡的特征,并使用此设置来阐明短期和长期实验收益之间的权衡。这种扩展对问题的战略性质产生了质的影响。实验的选择值是一种可信的承诺机制,可以让玩家留在游戏中,这有助于诱使其他玩家更早地认输。直接的结果是,可能存在一种平衡,在这种平衡中,效率较低的玩家可以得到更好的结果,这意味着在这种类型的竞争中,缓慢的学习可能是一种幸事。我们的分析深入了解了为什么一项明显较差的技术经常在许多标准竞争中生存下来,并更广泛地为技术采用和行业动态提供了启示。我们还表明,有一组非退化的参数可以支持帕累托有效分配作为均衡结果,而这在标准设置中是不可能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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