| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP11668 |
| DP11668 Bounds on Treatment Effects in Regression Discontinuity Designs under Manipulation of the Running Variable, with an Application to Unemployment Insurance in Brazil | |
| Francois Gerard | |
| 发表日期 | 2016-11-26 |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | A key assumption in regression discontinuity analysis is that units cannot affect the value of their running variable through strategic behavior, or manipulation, in a way that leads to sorting on unobservable characteristics around the cutoff. Standard identification arguments break down if this condition is violated. This paper shows that treatment effects remain partially identified under weak assumptions on individuals' behavior in this case. We derive sharp bounds on causal parameters for both sharp and fuzzy designs, 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, where we find evidence of manipulation at an eligibility cutoff. Our bounds remain informative, despite the fact that manipulation has a sizable effect on our estimates of causal parameters. |
| 主题 | Labour Economics ; Public Economics |
| 关键词 | Regression discontinuity Manipulation Unemployment insurance |
| URL | https://cepr.org/publications/dp11668 |
| 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/540482 |
| 推荐引用方式 GB/T 7714 | Francois Gerard. DP11668 Bounds on Treatment Effects in Regression Discontinuity Designs under Manipulation of the Running Variable, with an Application to Unemployment Insurance in Brazil. 2016. |
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