| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w30291 |
| 来源ID | Working Paper 30291 |
| Simple Tests for Selection: Learning More from Instrumental Variables | |
| Dan A. Black; Joonhwi Joo; Robert LaLonde; Jeffrey A. Smith; Evan J. Taylor | |
| 发表日期 | 2022-07-25 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | We provide simple tests for selection on unobserved variables in the Vytlacil-Imbens-Angrist framework for Local Average Treatment Effects (LATEs). Our setup allows researchers not only to test for selection on either or both of the treated and untreated outcomes, but also to assess the magnitude of the selection effect. We show that it applies to the standard binary instrument case, as well as to experiments with imperfect compliance and fuzzy regression discontinuity designs, and we link it to broader discussions regarding instrumental variables. We illustrate the substantive value added by our framework with three empirical applications drawn from the literature. |
| 主题 | Econometrics ; Estimation Methods ; Experimental Design |
| URL | https://www.nber.org/papers/w30291 |
| 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/587963 |
| 推荐引用方式 GB/T 7714 | Dan A. Black,Joonhwi Joo,Robert LaLonde,et al. Simple Tests for Selection: Learning More from Instrumental Variables. 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 | ||
| w30291.pdf（422KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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