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:在定义错误的社会学习环境中,如果代理人认为同龄人的私人信息质量比现实低,那么代理人就会居高临下。 把这个应用到标准的顺序模式中,我们表明当代理人温和地居高位时,结果会得到改善。 相反,太多的傲慢导致坏结果,反征服也是如此。