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Graphical Statistical Methods for the Representation of the Human Development Index and its Components

Author

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  • César A. Hidalgo

    (Massachusetts Institute of Technology Media Laboratory and Harvard University Centre for International Development)

Abstract

In this paper we introduce five graphical statistical methods to compare countries level of development relative to other countries and across time. For this, we use seven panels of data on the Human Development Index and its components, containing information on more than 100 countries for more than 35 years. We create visual comparisons of the level of development of countries relative to each other, and across time, through five different visualization techniques: (i) Rankings (ii) Values (iii) Distributions (iv) visual metaphors (The Development Tree), and (v) networks, by introducing the concepts of Partial Ordering Networks (PON) and Development Reference Groups (DRG). The graphical exploration of both, values and distributions, show a saturation of both the education and life dimensions of the HDI, suggesting a need to extend the definitions of this components to include either more subcomponents, or completely new measures that could help differentiate between countries facing different development challenges. The Development Tree and the Partial Ordering Network, on the other hand, are used to create graphical narratives of countries and regions. The simplicity of the Development Tree makes it an ideal graphical metaphor for branding the HDI in a multilingual setting, whereas Partial Ordering Networks provide a more organic way to group countries according to their levels of development and connect countries to those with similar development challenges. We conclude by arguing that graphical statistical methods could be used to help communicate complex data and concepts through universal cognitive channels that are heretofore underused in the development literature.

Suggested Citation

  • César A. Hidalgo, 2010. "Graphical Statistical Methods for the Representation of the Human Development Index and its Components," Human Development Research Papers (2009 to present) HDRP-2010-39, Human Development Report Office (HDRO), United Nations Development Programme (UNDP).
  • Handle: RePEc:hdr:papers:hdrp-2010-39
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    File URL: http://hdr.undp.org/en/reports/global/hdr2010/papers/HDRP_2010_39.pdf
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    Citations

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    Cited by:

    1. David Mayer-Foulkes, 2013. "A Cross-country Causal Panorama of Human Development and Sustainability," Review of Development Economics, Wiley Blackwell, vol. 17(2), pages 235-251, May.
    2. Lyubimov, Ivan & Lysyuk, Maria, 2018. "Schooling ain't learning in Russia either: High level of student employment as an indicator for slow human capital accumulation," BOFIT Policy Briefs 1/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    3. Massimo Buscema & Pier Luigi Sacco & Guido Ferilli, 2016. "Multidimensional Similarities at a Global Scale: An Approach to Mapping Open Society Orientations," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(3), pages 1239-1258, September.
    4. Athanasios Lapatinas, 2016. "Economic complexity and human development: a note," Economics Bulletin, AccessEcon, vol. 36(3), pages 1441-1452.
    5. Hartmann, Dominik & Pyka, Andreas, 2013. "Innovation, economic diversification and human development," FZID Discussion Papers 65-2013, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    6. David Mayer-Foulkes, 2011. "A Causal Panorama of Cross-Country Human Development," DEGIT Conference Papers c016_049, DEGIT, Dynamics, Economic Growth, and International Trade.

    More about this item

    Keywords

    Human Development Index; Visualization; The Development Tree; Partial Ordering;
    All these keywords.

    JEL classification:

    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development

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