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arXiv 1802.09396math.PRcs.GTecon.GNecon.THq-fin.EC
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吸引力与说服:搜索市场中的信息提供

Attraction versus Persuasion: Information Provision in Search Markets

Hong Kong University of Science and Technology(香港科技大学);Arizona State University(亚利桑那州立大学)

Pak Hung Au, Mark Whitmeyer

AI总结:

本文研究了存在搜索摩擦的寡头竞争市场中,企业如何通过广告提供信息以影响消费者决策,探讨了吸引力与说服之间的博弈,并分析了在不同条件下企业信息提供策略的最优性。

摘要:

我们考虑了一个存在搜索摩擦的市场中的寡头竞争模型,在该模型中,竞争企业通过广告告知消费者访问时将获得多少信息。在该博弈的唯一对称均衡中,吸引力与说服的对立激励导致每个企业收益函数与其实际有效价值成线性关系。如果产品预期质量足够高(或竞争足够激烈),这对应于完全信息——企业提供第一最佳水平的信息。如果不符合这一条件,则对应于信息分散——企业随机化信号。

英文摘要:

We consider a model of oligopolistic competition in a market with search frictions, in which competing firms with products of unknown quality advertise how much information a consumer's visit will glean. In the unique symmetric equilibrium of this game, the countervailing incentives of attraction and persuasion yield a payoff function for each firm that is linear in the firm's realized effective value. If the expected quality of the products is sufficiently high (or competition is sufficiently fierce), this corresponds to full information--firms provide the first-best level of information. If not, this corresponds to information dispersion--firms randomize over signals.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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