| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP13477 |
| DP13477 On Event Studies and Distributed-Lags in Two-Way Fixed Effects Models: Identification, Equivalence, and Generalization | |
| Kurt Schmidheiny; Sebastian Siegloch | |
| 发表日期 | 2019-01-23 |
| 出版年 | 2019 |
| 语种 | 英语 |
| 摘要 | We discuss important properties and pitfalls of panel-data event study designs. We derive three main results. First, binning of effect window endpoints is a practical necessity and key for identification of dynamic treatment effects. Second, event study designs with binned endpoints and distributed-lag models are numerically identical leading to the same parameter estimates after correct reparametrization. Third, classic dummy variable event study designs can be generalized to models that account for multiple events of different sign and intensity of the treatment, which are particularly interesting for research in labor economics and public finance. We show the practical relevance of our methodological points in a replication study. |
| 主题 | Public Economics |
| 关键词 | Event study Distributed-lag Applied microeconomics Credibility revolution |
| URL | https://cepr.org/publications/dp13477-0 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/542291 |
| 推荐引用方式 GB/T 7714 | Kurt Schmidheiny,Sebastian Siegloch. DP13477 On Event Studies and Distributed-Lags in Two-Way Fixed Effects Models: Identification, Equivalence, and Generalization. 2019. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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