IDEAS home Printed from https://ideas.repec.org/p/usu/wpaper/2002-11.html
   My bibliography  Save this paper

A Multivariate Analysis of the Human Development Index

Author

Listed:
  • Basudeb Biswas
  • Frank Caliendo

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.

Suggested Citation

  • Basudeb Biswas & Frank Caliendo, 2002. "A Multivariate Analysis of the Human Development Index," Working Papers 2002-11, Utah State University, Department of Economics.
    • Handle: RePEc:usu:wpaper:2002-11
    as

    Download full text from publisher

    File URL: https://repec.bus.usu.edu/RePEc/usu/pdf/ERI2002-11.pdf
    File Function: First version, 2002
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mehmet Pinar & Thanasis Stengos & Nikolas Topaloglou, 2013. "Measuring human development: a stochastic dominance approach," Journal of Economic Growth, Springer, vol. 18(1), pages 69-108, March.
    2. Jaya Krishnakumar & A. Nagar, 2008. "On Exact Statistical Properties of Multidimensional Indices Based on Principal Components, Factor Analysis, MIMIC and Structural Equation Models," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 86(3), pages 481-496, May.
    3. Elizabeth Stanton, 2007. "The Human Development Index: A History," Working Papers wp127, Political Economy Research Institute, University of Massachusetts at Amherst.
    4. Matteo Mazziotta & Adriano Pareto, 2019. "Use and Misuse of PCA for Measuring Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(2), pages 451-476, April.
    5. Amal Ray, 2008. "Measurement of social development: an international comparison," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 86(1), pages 1-46, March.
    6. Tahsin Mehdi, 2019. "Stochastic Dominance Approach to OECD’s Better Life Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(3), pages 917-954, June.
    7. Tatiana Tikhomirova & Ani Sukiasyan, 2014. "Modified Estimates Of Human Potential In The Regions Of Russian Federation Taking Into Consideration The Risks Of Health Losses And Social Tensions," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 164-177.
    8. Nikolaos Zirogiannis & Kerry Krutilla & Yorghos Tripodis & Kathryn Fledderman, 2019. "Human Development Over Time: An Empirical Comparison of a Dynamic Index and the Standard HDI," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(2), pages 773-798, April.

    More about this item

    Keywords

    North-South; growth model;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:usu:wpaper:2002-11. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: John Gilbert (email available below). General contact details of provider: https://edirc.repec.org/data/edusuus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.