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 worse outcomes, as does anti-condescension.

翻译：在错误设定的社会学习环境中，若主体认为其同伴拥有的私人信息质量低于实际水平，则称其持有屈尊态度。将该概念应用于标准序贯模型，我们发现适度的屈尊态度会改善学习结果。相比之下，过度的屈尊态度与反屈尊态度均会导致结果恶化。