| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w29873 |
| 来源ID | Working Paper 29873 |
| Difference-in-Differences Estimators of Intertemporal Treatment Effects | |
| Clément de Chaisemartin; Xavier D'; Haultfoeuille | |
| 发表日期 | 2022-03-28 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | We study treatment-effect estimation, with a panel where groups may experience multiple changes of their treatment dose. We make parallel trends assumptions, but do not restrict treatment effect heterogeneity, unlike the linear regressions that have been used in such designs. We extend the event-study approach for binary-and-staggered treatments, by redefining the event as the first time a group’s treatment changes. This yields an event-study graph, with reduced-form estimates of the effect of having been exposed to a weakly higher amount of treatment for ℓ periods. We show that the reduced-form estimates can be combined into an economically interpretable cost-benefit ratio. |
| 主题 | Econometrics ; Estimation Methods |
| URL | https://www.nber.org/papers/w29873 |
| 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/587545 |
| 推荐引用方式 GB/T 7714 | Clément de Chaisemartin,Xavier D',Haultfoeuille. Difference-in-Differences Estimators of Intertemporal Treatment Effects. 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 | ||
| w29873.pdf（1057KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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