In a misspecified social learning setting, agents are condescending if they perceive their peers as having private information that is of lower quality than it is in reality. Applying this to a standard sequential model, we show that outcomes improve when agents are mildly condescending. In contrast, too much condescension leads to bad outcomes, as does anti-condescension.

翻译：在模型设定的社会学习情境中，若主体认为同伴拥有的私有信息质量低于实际水平，则其表现为居高临下。将此应用于标准序列模型中，我们证明当主体表现出适度居高临下态度时，结果会得到改善。相反，过度居高临下会导致不良结果，反居高临下亦是如此。