| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w22363 |
| 来源ID | Working Paper 22363 |
| Doing More When You're Running LATE: Applying Marginal Treatment Effect Methods to Examine Treatment Effect Heterogeneity in Experiments | |
| Amanda E. Kowalski | |
| 发表日期 | 2016-06-27 |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | I examine treatment effect heterogeneity within an experiment to inform external validity. The local average treatment effect (LATE) gives an average treatment effect for compliers. I bound and estimate average treatment effects for always takers and never takers by extending marginal treatment effect methods. I use these methods to separate selection from treatment effect heterogeneity, generalizing the comparison of OLS to LATE. Applying these methods to the Oregon Health Insurance Experiment, I find that the treatment effect of insurance on emergency room utilization decreases from always takers to compliers to never takers. Previous utilization explains a large share of the treatment effect heterogeneity. Extrapolations show that other expansions could increase or decrease utilization. |
| 主题 | Econometrics ; Estimation Methods ; Experimental Design ; Public Economics ; Public Goods ; Health, Education, and Welfare ; Health |
| URL | https://www.nber.org/papers/w22363 |
| 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/580037 |
| 推荐引用方式 GB/T 7714 | Amanda E. Kowalski. Doing More When You're Running LATE: Applying Marginal Treatment Effect Methods to Examine Treatment Effect Heterogeneity in Experiments. 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 | ||
| w22363.pdf（1500KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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