| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w23952 |
| 来源ID | Working Paper 23952 |
| Using Spatial Factor Analysis to Measure Human Development | |
| Qihua Qiu; Jaesang Sung; Will Davis; Rusty Tchernis | |
| 发表日期 | 2017-10-23 |
| 出版年 | 2017 |
| 语种 | 英语 |
| 摘要 | We propose a Bayesian factor analysis model as an alternative to the Human Development Index (HDI). Our model provides methodology which can either augment or build additional indices. In addition to addressing potential issues of the HDI, we estimate human development with three auxiliary variables capturing environmental health and sustainability, income inequality, and satellite observed nightlight. We also use our method to build a Millennium Development Goals (MDG) index as an example of constructing a more complex index. We find the “living standard” dimension provides a greater contribution to human development than the official HDI suggests, while the “longevity” dimension provides a lower proportional contribution. Our results also show considerable levels of disagreement relative to the ranks of official HDI. We report the sensitivity of our method to different specifications of spatial correlation, cardinal-to-ordinal data transforms, and data imputation procedures, along with the results of a simulated data exercise. |
| 主题 | Development and Growth ; Development ; Country Studies |
| URL | https://www.nber.org/papers/w23952 |
| 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/581625 |
| 推荐引用方式 GB/T 7714 | Qihua Qiu,Jaesang Sung,Will Davis,et al. Using Spatial Factor Analysis to Measure Human Development. 2017. |
| 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 | ||
| w23952.pdf（1809KB） | 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。
