Abstract
The Human Development Index (HDI) has been instrumental in broadening the discussion of economic development beyond money-metric
progress, in particular, by ranking a country against other countries in terms of the well being of their citizens. We propose
self-organizing maps to explore similarities among countries using the components of the HDI rather than rankings. The similarities
approach using the HDI components reveals information which is not available from ranking or bilateral comparisons. By illustrating
clusters of countries, which we call “neighborhoods in development”, self-organizing maps draw out the potential for mutual
policy learning among countries and shift the focus to discovering what kind of policies might have led countries change their
position in the rankings.
progress, in particular, by ranking a country against other countries in terms of the well being of their citizens. We propose
self-organizing maps to explore similarities among countries using the components of the HDI rather than rankings. The similarities
approach using the HDI components reveals information which is not available from ranking or bilateral comparisons. By illustrating
clusters of countries, which we call “neighborhoods in development”, self-organizing maps draw out the potential for mutual
policy learning among countries and shift the focus to discovering what kind of policies might have led countries change their
position in the rankings.
- Content Type Journal Article
- Pages 1-14
- DOI 10.1007/s11205-011-9955-x
- Authors
- Sevinc Rende, Isik University, Istanbul, Turkey
- Murat Donduran, Yildiz Technical University, Istanbul, Turkey
- Journal Social Indicators Research
- Online ISSN 1573-0921
- Print ISSN 0303-8300