| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w23957 |
| 来源ID | Working Paper 23957 |
| Experimentation at Scale | |
| Karthik Muralidharan; Paul Niehaus | |
| 发表日期 | 2017-10-23 |
| 出版年 | 2017 |
| 语种 | 英语 |
| 摘要 | This paper makes the case for greater use of randomized experiments “at scale.” We review various critiques of experimental program evaluation in developing countries, and discuss how experimenting at scale along three specific dimensions – the size of the sampling frame, the number of units treated, and the size of the unit of randomization – can help alleviate them. We find that program evaluation randomized controlled trials published in top journals over the last 15 years have typically been “small” in these senses, but also identify a number of examples – including from our own work – demonstrating that experimentation at much larger scales is both feasible and valuable. |
| 主题 | Econometrics ; Experimental Design ; Public Economics ; Public Goods ; National Fiscal Issues ; Development and Growth |
| URL | https://www.nber.org/papers/w23957 |
| 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/581630 |
| 推荐引用方式 GB/T 7714 | Karthik Muralidharan,Paul Niehaus. Experimentation at Scale. 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 | ||
| w23957.pdf（297KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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