| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w29768 |
| 来源ID | Working Paper 29768 |
| Statistical Uncertainty in the Ranking of Journals and Universities | |
| Magne Mogstad; Joseph P. Romano; Azeem Shaikh; Daniel Wilhelm | |
| 发表日期 | 2022-02-21 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | Economists are obsessed with rankings of institutions, journals, or scholars according to the value of some feature of interest. These rankings are invariably computed using estimates rather than the true values of such features. As a result, there may be considerable uncertainty concerning the ranks. In this paper, we consider the problem of accounting for such uncertainty by constructing confidence sets for the ranks. We consider both the problem of constructing marginal confidence sets for the rank of, say, a particular journal as well as simultaneous confidence sets for the ranks of all journals. We apply these confidence sets to draw inferences about uncertainty in the ranking of economics journals and universities by impact factors. |
| 主题 | Econometrics ; Estimation Methods |
| URL | https://www.nber.org/papers/w29768 |
| 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/587442 |
| 推荐引用方式 GB/T 7714 | Magne Mogstad,Joseph P. Romano,Azeem Shaikh,et al. Statistical Uncertainty in the Ranking of Journals and Universities. 2022. |
| 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 | ||
| w29768.pdf（328KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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