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A Multivariate Analysis of the Human Development Index

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Author Info
Basudeb Biswas
Frank Caliendo

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Abstract

A 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 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.

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File URL: ftp://repec.bus.usu.edu/RePEc/usu/pdf/ERI2002-11.pdf
File Format: application/pdf
File Function: First version, 2002
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Publisher Info
Paper provided by Utah State University, Department of Economics in its series Working Papers with number 2002-11.

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Length: 16 pages
Date of creation: Jul 2002
Date of revision:
Handle: RePEc:usu:wpaper:2002-11

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Related research
Keywords: North-South; growth model;

Find related papers by JEL classification:
E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
R10 - Urban, Rural, and Regional Economics - - General Regional Economics - - - General

Cited by:
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  1. Jaya Krishnakumar, 2004. "Going Beyond Functionings to Capabilities : an Econometric Model to Explain and Estimate Capabilities," Cahiers du Département d'Econométrie 2004.12, Département d'Econométrie, Université de Genève. [Downloadable!]
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This page was last updated on 2009-12-5.


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