Strategic Exit With Information and Payoff Externalities

S. Boyarchenko
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Abstract

I consider a stopping game between two players, where observations related to an unknown state of the nature arrive at random. Players not only learn from observing each other, but their payoffs also depend on the presence of the counterpart. I derive a general characterization of an equilibrium in this game. As applications, I consider two stopping time games which can be viewed as models of sponsored research - one is the model where researchers get funded until (if ever) a research project experiences the first failure, the other one is the model where researchers get rewarded if a success is achieved. In either case, the researchers start working on a project of unknown quality. The quality of the project is identified with its ability to generate failures or successes, in the first and second models, respectively. The rate of arrival of success conditioned on the quality of the project is an increasing function of the total time spent on the sponsored research. Observations of failures or successes are public information.I find subgame perfect equilibria in both models and show that in case of two competing researchers, neither equilibrium outcomes, nor cooperative solutions are efficient unless research creates no payoff externalities. In either model, at least one of the researchers experiments inefficiently long, so that a designer of a grant competition would like to stop sponsoring one of the players earlier than in equilibrium. Surprisingly, this result holds in the model where the first success is rewarded no matter whether the laggards are rewarded with a smaller prize or punished.
具有信息外部性和收益外部性的战略退出
我考虑两个玩家之间的停止游戏,其中与自然未知状态相关的观察结果是随机的。玩家不仅可以通过观察对方来学习,他们的收益也取决于对手的存在。我推导出了这个博弈中均衡的一般特征。作为应用程序,我考虑了两个可以被视为赞助研究模型的停止时间游戏-一个是研究人员获得资助的模型,直到(如果有的话)研究项目经历第一次失败,另一个是研究人员获得奖励的模型,如果取得成功。在任何一种情况下,研究人员都开始了一个未知质量的项目。项目的质量是根据其产生失败或成功的能力来确定的,分别在第一个和第二个模型中。以项目质量为条件的成功到达率是花费在赞助研究上的总时间的递增函数。对失败或成功的观察是公开的信息。我在两个模型中都发现了子博弈的完美均衡,并表明在两个竞争的研究人员的情况下,均衡结果和合作解决方案都不是有效的,除非研究没有产生回报外部性。在任何一种模型中,至少有一个研究人员的实验时间过长,效率低下,因此拨款竞争的设计者可能会在达到均衡之前就停止资助其中一个参与者。令人惊讶的是,这个结果在第一个成功得到奖励的模型中是成立的,不管后来者是得到较小的奖励还是受到惩罚。
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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