| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP11775 |
| DP11775 Regression Discontinuity Design with Continuous Measurement Error in the Running Variable | |
| Thomas Le Barbanchon | |
| 发表日期 | 2017-01-13 |
| 出版年 | 2017 |
| 语种 | 英语 |
| 摘要 | Since the late 90s, Regression Discontinuity (RD) designs have been widely used to estimate Local Average Treatment Effects (LATE). When the running variable is observed with continuous measurement error, identification fails. Assuming nondifferential measurement error, we propose a consistent nonparametric estimator of the LATE when the discrepancy between the true running variable and its noisy measure is observed in an auxiliary sample of treated individuals, and when there are treated individuals at any value of the true running variable - two-sided fuzzy designs. We apply our method to estimate the effect of receiving unemployment benefits. |
| 主题 | Labour Economics |
| 关键词 | Regression discontinuity design Measurement error Unemployment insurance |
| URL | https://cepr.org/publications/dp11775 |
| 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/540589 |
| 推荐引用方式 GB/T 7714 | Thomas Le Barbanchon. DP11775 Regression Discontinuity Design with Continuous Measurement Error in the Running Variable. 2017. |
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