| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w22781 |
| 来源ID | Working Paper 22781 |
| Regression Kink Design: Theory and Practice | |
| David Card; David S. Lee; Zhuan Pei; Andrea Weber | |
| 发表日期 | 2016-10-31 |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | A regression kink design (RKD or RK design) can be used to identify casual effects in settings where the regressor of interest is a kinked function of an assignment variable. In this paper, we apply an RKD approach to study the effect of unemployment benefits on the duration of joblessness in Austria, and discuss implementation issues that may arise in similar settings, including the use of bandwidth selection algorithms and bias-correction procedures. Although recent developments in nonparametric estimation (e.g. Imbens et al. (2012) and Calonico et al. (2014)) are sometimes interpreted by practitioners as pointing to a default estimation procedure, we show that in any given application different procedures may perform better or worse. In particular, Monte Carlo simulations based on data generating processes that closely resemble the data from our application show that some asymptotically dominant procedures may actually perform worse than “sub-optimal” alternatives in a given empirical application. |
| 主题 | Econometrics ; Estimation Methods ; Labor Economics ; Unemployment and Immigration |
| URL | https://www.nber.org/papers/w22781 |
| 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/580454 |
| 推荐引用方式 GB/T 7714 | David Card,David S. Lee,Zhuan Pei,et al. Regression Kink Design: Theory and Practice. 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 | ||
| w22781.pdf（1044KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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