| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w29170 |
| 来源ID | Working Paper 29170 |
| Visualization, Identification, and Estimation in the Linear Panel Event-Study Design | |
| Simon Freyaldenhoven; Christian Hansen; Jorge Pérez Pérez; Jesse M. Shapiro | |
| 发表日期 | 2021-08-23 |
| 出版年 | 2021 |
| 语种 | 英语 |
| 摘要 | Linear panel models, and the “event-study plots” that often accompany them, are popular tools for learning about policy effects. We discuss the construction of event-study plots and suggest ways to make them more informative. We examine the economic content of different possible identifying assumptions. We explore the performance of the corresponding estimators in simulations, highlighting that a given estimator can perform well or poorly depending on the economic environment. An accompanying Stata package, xtevent, facilitates adoption of our suggestions. |
| 主题 | Econometrics ; Estimation Methods |
| URL | https://www.nber.org/papers/w29170 |
| 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/586842 |
| 推荐引用方式 GB/T 7714 | Simon Freyaldenhoven,Christian Hansen,Jorge Pérez Pérez,et al. Visualization, Identification, and Estimation in the Linear Panel Event-Study Design. 2021. |
| 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 | ||
| w29170.pdf（799KB） | 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。
