| 来源类型 | Publication |
| 来源ID | Working Paper 16 |
| Horseshoes, Hand Grenades, and Treatment Effects? Reassessing Bias in Nonexperimental Estimators | |
| Kenneth Fortson; Philip Gleason; Emma Kopa; and Natalya Verbitsky-Savitz | |
| 发表日期 | 2013-03-30 |
| 出版者 | Oakland, CA: Mathematica Policy Research |
| 出版年 | 2013 |
| 语种 | 英语 |
| 概述 | Nonexperimental methods, such as regression modeling or statistical matching, produce unbiased estimates if the underlying assumptions hold, but these assumptions are usually not testable. ", |
| 摘要 | Nonexperimental methods, such as regression modeling or statistical matching, produce unbiased estimates if the underlying assumptions hold, but these assumptions are usually not testable. Most studies testing nonexperimental designs find that they fail to produce unbiased estimates, but these studies have examined weaker evaluation designs. This working paper addresses these limitations and finds the use of baseline data that are strongly predictive of the key outcome measures considerably reduces bias, but might not completely eliminate it. |
| URL | https://www.mathematica.org/our-publications-and-findings/publications/horseshoes-hand-grenades-and-treatment-effects-reassessing-bias-in-nonexperimental-estimators |
| 来源智库 | Mathematica Policy Research (United States) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/487356 |
| 推荐引用方式 GB/T 7714 | Kenneth Fortson,Philip Gleason,Emma Kopa,et al. Horseshoes, Hand Grenades, and Treatment Effects? Reassessing Bias in Nonexperimental Estimators. 2013. |
| 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 | ||
| nonexperi_estimators（241KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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