| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP16974 |
| DP16974 Multi-cutoff RD designs with observations located at each cutoff: problems and solutions | |
| Margherita Fort; Andrea Ichino; Enrico Rettore; Giulio Zanella | |
| 发表日期 | 2022-01-30 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | In RD designs with multiple cutoffs, the identification of an average causal effect across cutoffs may be problematic if a marginally exposed subject is located exactly at each cutoff. This occurs whenever a fixed number of treatment slots is allocated starting from the subject with the highest (or lowest) value of the score, until exhaustion. Exploiting the ``within’’ variability at each cutoff is the safest and likely efficient option. Alternative strategies exist, but they do not always guarantee identification of a meaningful causal effect and are less precise. To illustrate our findings, we revisit the study of Pop-Eleches and Urquiola (2013). |
| 主题 | Labour Economics |
| 关键词 | Regression discontinuity Multiple cutoffs Normalizing-and-pooling |
| URL | https://cepr.org/publications/dp16974 |
| 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/545918 |
| 推荐引用方式 GB/T 7714 | Margherita Fort,Andrea Ichino,Enrico Rettore,et al. DP16974 Multi-cutoff RD designs with observations located at each cutoff: problems and solutions. 2022. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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