信念、回报、信息:论内生信念模型中 BDP 特性的稳健性

A. Gizatulina, M. Hellwig
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引用次数: 17

摘要

Neeman(2004)以及 Heifetz 和 Neeman(2006)已经证明,在收益信息不完全的拍卖中,只有当代理人对其他代理人的信念对其自身的收益参数具有完全信息时,才有可能提取全部盈余。他们认为,从几何和计量理论的意义上讲,满足这一所谓 BDP 属性("信念决定偏好")的不完全信息模型集是可以忽略不计的。与此相反,我们的研究表明,在有限维类型空间模型中,如果形成信念的对象集合足够丰富,并且信念是通过对可用信息的条件化推导出来的,那么这一属性在拓扑学上就是通用的;对于任何代理人来说,这些信息都包括他自己的报酬参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Beliefs, Payoffs, Information: On the Robustness of the BDP Property in Models with Endogenous Beliefs
Neeman (2004) and Heifetz and Neeman (2006) have shown that, in auctions with incomplete information about payoffs, full surplus extraction is only possible if agents’ beliefs about other agents are fully informative about their own payoff parameters. They argue that the set of incomplete-information models satisfying this so-called BDP property ("beliefs determine preferences") is negligible, in a geometric and a measure-theoretic sense. In contrast, we show that, in models with finite-dimensional type spaces, this property is topologically generic if the set of objects about which beliefs are formed is sufficiently rich and beliefs are derived by conditioning on the available information; for any agent, this information includes his own payoff parameters.
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