G2TT
来源类型Discussion paper
规范类型论文
来源IDDP12036
DP12036 Social Learning with Model Misspecification: A Framework and a Characterization
Aislinn Bohren; Daniel Hauser
发表日期2019-11-11
出版年2019
语种英语
摘要This paper develops a general framework to study how misinterpreting information impacts learning. We consider sequential social learning and passive individual learning settings in which individuals observe signals and the actions of predecessors. Individuals have incorrect, or misspecified models of how to interpret these sources -- such as overreaction to signals or misperception of others' preferences. Our main result is a simple criterion to characterize long-run beliefs and behavior based on the underlying form of misspecification. This provides a unified way to compare different forms of misspecification that have been previously studied, as well as generates new insights about forms of misspecification that have not been theoretically explored. It allows for a deeper understanding of how misspecification impacts learning, including exploring whether a given form of misspecification is conceptually robust, in that it is not sensitive to parametric specification, whether misspecification has a similar impact in individual and social learning settings, and how model heterogeneity impacts learning. Lastly, it establishes that the correctly specified model is analytically robust, in that nearby misspecified models generate similar long-run beliefs.
主题Industrial Organization
关键词Social learning Model misspecification
URLhttps://cepr.org/publications/dp12036-1
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/542998
推荐引用方式
GB/T 7714
Aislinn Bohren,Daniel Hauser. DP12036 Social Learning with Model Misspecification: A Framework and a Characterization. 2019.
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