.png){kind=icon}
Return
Using spatial factor analysis to measure human development
.png){kind=icon}
OA
AI
DOI：10.1016/j.jdeveco.2017.12.007.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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.
Keywords:
Human development index
Factor analysis
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.6
Papers:
4.0K
Citations:
1.6W
Organization
Cited Papers
Monotherapy with hMG‐CoA reductase inhibitors and secondary prevention in coronary artery diseaseOAAI
.png){kind=icon}
OAAIShareSaveShareSaveShareSaveShareSaveShareSaveShareSave
ShareSave
View more