Dynamic Signals

Mark Whitmeyer, Cole Williams
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Abstract

In this paper, we reveal that the signal representation of information introduced by Gentzkow and Kamenica (2017) can be applied profitably to dynamic decision problems. We use this to characterize when one dynamic information structure is more valuable to an agent than another, irrespective of what other dynamic sources of information the agent may possess. Notably, this robust dominance is equivalent to an intuitive dynamic version of Brooks, Frankel, and Kamenica (2022)'s reveal-or-refine condition.
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动态信号
在本文中,我们揭示了 Gentzkow 和 Kamenica(2017 年)提出的信息信号表示法可以有效地应用于动态决策问题。我们用它来描述当一种动态信息结构对一个代理来说比另一种更有价值时的特征,而不管该代理可能拥有哪些其他动态信息源。值得注意的是,这种稳健优势等同于布鲁克斯、弗兰克尔和卡梅尼卡(Brooks, Frankel, andKamenica, 2022)的 "揭示或改进 "条件的直观动态版本。
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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