| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP13781 |
| DP13781 Treatment Effects with Heterogeneous Externalities | |
| Eleonora Patacchini; Edoardo Rainone | |
| 发表日期 | 2019-06-05 |
| 出版年 | 2019 |
| 语种 | 英语 |
| 摘要 | This paper proposes a new method for estimating heterogeneous externalities in policy analysis when social interactions take the linear-in-means form. We establish that the parameters of interest can be identified and consistently estimated using specific functions of the share of the eligible population. We also study the finite sample performance of the proposed estimators using Monte Carlo simulations. The method is illustrated using data on the PROGRESA program. We find that more than 50 percent of the effects of the program on schooling attendance are due to externalities, which are heterogeneous within and between poor and nonpoor households. |
| 主题 | Development Economics ; Public Economics |
| 关键词 | Program evaluation Two-stage least squares Indirect treatment effec |
| URL | https://cepr.org/publications/dp13781 |
| 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/542649 |
| 推荐引用方式 GB/T 7714 | Eleonora Patacchini,Edoardo Rainone. DP13781 Treatment Effects with Heterogeneous Externalities. 2019. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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