| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w27259 |
| 来源ID | Working Paper 27259 |
| Measuring the Spatial Distribution of Health Rankings in the United States | |
| Will Davis; Alexander D. Gordan; Rusty Tchernis | |
| 发表日期 | 2020-06-01 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | We rank counties in the United States of America with respect to population health. We utilize the five observable county health variables used to construct the University of Wisconsin Population Health Institute’s County Health Rankings (CHRs). Our method relies on a factor analysis model to directly compute weights for our rankings, incorporate county population sizes into the variances, and allow for spillovers of health stock across county lines. We find that demographic and economic variation explain a large portion of the variation in health rankings. We address the importance of uncertainty caused by imputation of missing data and show that the use of rankings leads to inherently greater uncertainty. Analyzing the health of counties both within and across state lines shows substantial degrees of disparity. We find some disagreement between our ranks and the CHRs, but we show that much can be learned by combining results from both methods. |
| 主题 | Health, Education, and Welfare ; Health |
| URL | https://www.nber.org/papers/w27259 |
| 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/584930 |
| 推荐引用方式 GB/T 7714 | Will Davis,Alexander D. Gordan,Rusty Tchernis. Measuring the Spatial Distribution of Health Rankings in the United States. 2020. |
| 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 | ||
| w27259.pdf（750KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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。
