| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w7131 |
| 来源ID | Working Paper 7131 |
| Evaluating the Effect of an Antidiscrimination Law Using a Regression-Discontinuity Design | |
| Jinyong Hahn; Petra Todd; Wilbert Van der Klaauw | |
| 发表日期 | 1999-05-01 |
| 出版年 | 1999 |
| 语种 | 英语 |
| 摘要 | The regression discontinuity (RD) data design is a quasi-experimental design with the defining characteristic that the probability of receiving treatment changes discontinuously as a function of one or more individual characteristics. This data design occasionally arises in economic and other applications but is only infrequently exploited in evaluating the effects of a treatment. We consider the problem of identification and estimation of treatment effects under a RD data design. We offer an interpretation of the IV or so-called Wald estimator as a regression discontinuity estimator. We propose nonparametric estimators of treatment effects and present their asymptotic distribution theory. Then we apply the estimation method to evaluate the effect of EEOC-coverage on minority employment in small U.S. firms. |
| 主题 | Econometrics ; Estimation Methods |
| URL | https://www.nber.org/papers/w7131 |
| 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/564659 |
| 推荐引用方式 GB/T 7714 | Jinyong Hahn,Petra Todd,Wilbert Van der Klaauw. Evaluating the Effect of an Antidiscrimination Law Using a Regression-Discontinuity Design. 1999. |
| 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 | ||
| w7131.pdf（385KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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