| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w23867 |
| 来源ID | Working Paper 23867 |
| A Theory of Experimenters | |
| Abhijit Banerjee; Sylvain Chassang; Sergio Montero; Erik Snowberg | |
| 发表日期 | 2017-10-02 |
| 出版年 | 2017 |
| 语种 | 英语 |
| 摘要 | This paper proposes a decision-theoretic framework for experiment design. We model experimenters as ambiguity-averse decision-makers, who make trade-offs between subjective expected performance and robustness. This framework accounts for experimenters' preference for randomization, and clarifies the circumstances in which randomization is optimal: when the available sample size is large enough or robustness is an important concern. We illustrate the practical value of such a framework by studying the issue of rerandomization. Rerandomization creates a trade-off between subjective performance and robustness. However, robustness loss grows very slowly with the number of times one randomizes. This argues for rerandomizing in most environments. |
| 主题 | Econometrics ; Experimental Design ; Microeconomics ; Economics of Information |
| URL | https://www.nber.org/papers/w23867 |
| 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/581540 |
| 推荐引用方式 GB/T 7714 | Abhijit Banerjee,Sylvain Chassang,Sergio Montero,et al. A Theory of Experimenters. 2017. |
| 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 | ||
| w23867.pdf（520KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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