| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w22892 |
| 来源ID | Working Paper 22892 |
| Bounds on Treatment Effects in Regression Discontinuity Designs with a Manipulated Running Variable | |
| François Gerard; Miikka Rokkanen; Christoph Rothe | |
| 发表日期 | 2016-12-05 |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | The key assumption in regression discontinuity analysis is that the distribution of potential outcomes varies smoothly with the running variable around the cutoff. In many empirical contexts, however, this assumption is not credible; and the running variable is said to be manipulated in this case. In this paper, we show that while causal effects are not point identified under manipulation, they remain partially identified under a general model that covers a wide range of empirical patterns. We derive sharp bounds on causal parameters for both sharp and fuzzy designs under our general model, and show how additional structure can be used to further narrow the bounds. We use our methods to study the disincentive effect of unemployment insurance on (formal) reemployment in Brazil, and show that our bounds remain informative, despite the fact that manipulation has a sizable effect on our estimates of causal parameters. |
| 主题 | Econometrics ; Estimation Methods ; Labor Economics ; Unemployment and Immigration |
| URL | https://www.nber.org/papers/w22892 |
| 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/580565 |
| 推荐引用方式 GB/T 7714 | François Gerard,Miikka Rokkanen,Christoph Rothe. Bounds on Treatment Effects in Regression Discontinuity Designs with a Manipulated Running Variable. 2016. |
| 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 | ||
| w22892.pdf（1080KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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