| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/t0259 |
| 来源ID | Technical Working Paper 0259 |
| Instrumental Variables, Selection Models, and Tight Bounds on the Average Treatment Effect | |
| James J. Heckman; Edward J. Vytlacil | |
| 发表日期 | 2000-08-01 |
| 出版年 | 2000 |
| 语种 | 英语 |
| 摘要 | This paper exposits and relates two distinct approaches to bounding the average treatment effect. One approach, based on instrumental variables, is due to Manski (1990, 1994), who derives tight bounds on the average treatment effect under a mean independence form of the instrumental variables (IV) condition. The second approach, based on latent index models, is due to Heckman and Vytlacil (1999, 2000a), who derive bounds on the average treatment effect that exploit the assumption of a nonparametric selection model with an exclusion restriction. Their conditions imply the instrumental variable condition studied by Manski, so that their conditions are stronger than the Manski conditions. In this paper, we study the relationship between the two sets of bounds implied by these alternative conditions. We show that: (1) the Heckman and Vytlacil bounds are tight given their assumption of a nonparametric selection model; (2) the Manski bounds simplify to the Heckman and Vytlacil bounds under the nonparametric selection model assumption. |
| 主题 | Econometrics ; Estimation Methods ; Public Economics ; Public Goods |
| URL | https://www.nber.org/papers/t0259 |
| 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/565393 |
| 推荐引用方式 GB/T 7714 | James J. Heckman,Edward J. Vytlacil. Instrumental Variables, Selection Models, and Tight Bounds on the Average Treatment Effect. 2000. |
| 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 | ||
| t0259.pdf（282KB） | 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。
