A Multivariate Analysis and Extension of the Human Development Index
AbstractA multivariate technique called principal component analysis is used to combine measures of human development. The first principal component index is the linear combination of component indexes with maximal information content. This multivariate technique accounts for differences in the variances of component indexes as well as interdependence among the component indexes. The first principal component of the three indexes used in the HDI (life expectancy, education, GDP) yields international rankings nearly identical to the HDI itself. We interpret this as theoretical support for the HDI ranking system as a metric of international human development. Also, we create a new index which is the first principal component of the five indexes: the three components of the HDI together with two additional indexes that capture gender inequality and child malnutrition. The international ranking of countries from most to least developed, according to the new index, is quite similar to the HDI ranking.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Utah State University, Department of Economics in its series Working Papers with number 2004-01.
Length: 22 pages
Date of creation: Jan 2004
Date of revision:
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (John Gilbert).
If references are entirely missing, you can add them using this form.