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来源类型Working Paper
规范类型报告
DOI10.3386/w29962
来源IDWorking Paper 29962
Learning Through Imitation: an Experiment
Marina Agranov; Gabriel Lopez-Moctezuma; Philipp Strack; Omer Tamuz
发表日期2022-04-25
出版年2022
语种英语
摘要We compare how well agents aggregate information in two repeated social learning environments. In the first setting agents have access to a public data set. In the second they have access to the same data, and also to the past actions of others. Despite the fact that actions contain no additional payoff relevant information, and despite potential herd behavior, free riding and information overload issues, observing and imitating the actions of others leads agents to take the optimal action more often in the second setting. We also investigate the effect of group size, as well as a setting in which agents observe private data and others’ actions.
主题Econometrics ; Experimental Design ; Microeconomics ; Economics of Information
URLhttps://www.nber.org/papers/w29962
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/587636
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GB/T 7714
Marina Agranov,Gabriel Lopez-Moctezuma,Philipp Strack,et al. Learning Through Imitation: an Experiment. 2022.
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