| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w29962 |
| 来源ID | Working 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 |
| URL | https://www.nber.org/papers/w29962 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/587636 |
| 推荐引用方式 GB/T 7714 | Marina Agranov,Gabriel Lopez-Moctezuma,Philipp Strack,et al. Learning Through Imitation: an Experiment. 2022. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w29962.pdf（1445KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
