| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w21313 |
| 来源ID | Working Paper 21313 |
| Exact P-values for Network Interference | |
| Susan Athey; Dean Eckles; Guido W. Imbens | |
| 发表日期 | 2015-07-06 |
| 出版年 | 2015 |
| 语种 | 英语 |
| 摘要 | We study the calculation of exact p-values for a large class of non-sharp null hypotheses about treatment effects in a setting with data from experiments involving members of a single connected network. The class includes null hypotheses that limit the effect of one unit's treatment status on another according to the distance between units; for example, the hypothesis might specify that the treatment status of immediate neighbors has no effect, or that units more than two edges away have no effect. We also consider hypotheses concerning the validity of sparsification of a network (for example based on the strength of ties) and hypotheses restricting heterogeneity in peer effects (so that, for example, only the number or fraction treated among neighboring units matters). Our general approach is to define an artificial experiment, such that the null hypothesis that was not sharp for the original experiment is sharp for the artificial experiment, and such that the randomization analysis for the artificial experiment is validated by the design of the original experiment. |
| 主题 | Econometrics ; Estimation Methods |
| URL | https://www.nber.org/papers/w21313 |
| 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/578988 |
| 推荐引用方式 GB/T 7714 | Susan Athey,Dean Eckles,Guido W. Imbens. Exact P-values for Network Interference. 2015. |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
