| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w24834 |
| 来源ID | Working Paper 24834 |
| How to Examine External Validity Within an Experiment | |
| Amanda E. Kowalski | |
| 发表日期 | 2018-07-16 |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | A fundamental concern for researchers who analyze and design experiments is that the estimate obtained from the experiment might not be externally valid for other policies of interest. Researchers often attempt to assess external validity by comparing data from an experiment to external data. In this paper, I discuss approaches from the treatment effects literature that researchers can use to begin the examination of external validity internally, within the data from a single experiment. I focus on presenting the approaches simply using stylized examples. |
| 主题 | Econometrics ; Experimental Design ; Public Economics |
| URL | https://www.nber.org/papers/w24834 |
| 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/582508 |
| 推荐引用方式 GB/T 7714 | Amanda E. Kowalski. How to Examine External Validity Within an Experiment. 2018. |
| 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 | ||
| w24834.pdf（350KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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