| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w17519 |
| 来源ID | Working Paper 17519 |
| Identification and Inference with Many Invalid Instruments | |
| Michal Kolesár; Raj Chetty; John N. Friedman; Edward L. Glaeser; Guido W. Imbens | |
| 发表日期 | 2011-10-20 |
| 出版年 | 2011 |
| 语种 | 英语 |
| 摘要 | We analyze linear models with a single endogenous regressor in the presence of many instrumental variables. We weaken a key assumption typically made in this literature by allowing all the instruments to have direct effects on the outcome. We consider restrictions on these direct effects that allow for point identification of the effect of interest. The setup leads to new insights concerning the properties of conventional estimators, novel identification strategies, and new estimators to exploit those strategies. A key assumption underlying the main identification strategy is that the product of the direct effects of the instruments on the outcome and the effects of the instruments on the endogenous regressor has expectation zero. We argue in the context of two specific examples with a group structure that this assumption has substantive content. |
| 主题 | Econometrics ; Estimation Methods |
| URL | https://www.nber.org/papers/w17519 |
| 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/575194 |
| 推荐引用方式 GB/T 7714 | Michal Kolesár,Raj Chetty,John N. Friedman,et al. Identification and Inference with Many Invalid Instruments. 2011. |
| 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 | ||
| w17519.pdf（526KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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