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How to Classify Countries Based on Their Level of Development

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  • Lynge Nielsen

Abstract

The paper analyzes how the United Nations Development Programme, the World Bank, the International Monetary Fund and the World Trade Organization classify countries based on their level of development. These systems are found lacking in clarity with regard to their underlying rationale. The paper argues that a country classification system based on a transparent, data-driven methodology is preferable to one based on judgment or ad hoc rules. Such an alternative methodology is developed and used to construct classification systems using a variety of proxies for development attainment. The methodology provides a way to construct a linear approximation of a Lorenz curve such that the difference between the linear approximation and the actual Lorenz curve is minimized. The linear segments represent different categories of countries (e.g., low development and high development countries). The methodology has wider applicability; it can be used whenever there is a need to construct a classification system of relatively few categories from a large heterogeneous sample. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Lynge Nielsen, 2013. "How to Classify Countries Based on Their Level of Development," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 114(3), pages 1087-1107, December.
  • Handle: RePEc:spr:soinre:v:114:y:2013:i:3:p:1087-1107
    DOI: 10.1007/s11205-012-0191-9
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    References listed on IDEAS

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    Cited by:

    1. Gianni Vaggi, 2018. "Development Finance in the age of Financial Mercantilism," DEM Working Papers Series 157, University of Pavia, Department of Economics and Management.
    2. Madrueño, Rogelio & Tezanos, Sergio, 2018. "The contemporary development discourse: Analysing the influence of development studies’ journals," World Development, Elsevier, vol. 109(C), pages 334-345.
    3. Gianni Vaggi, 2017. "The rich and the poor: A note on countries’ classification," PSL Quarterly Review, Economia civile, vol. 70(280), pages 59-82.
    4. Yener Coskun & Nicholas Apergis & Esra Alp Coskun, 2022. "Nonlinear responses of consumption to wealth, income, and interest rate shocks," Empirical Economics, Springer, vol. 63(3), pages 1293-1335, September.
    5. Abrams M E Tagem, 2017. "Analysing the determinants of health aid allocation in sub-Saharan Africa," Discussion Papers 2017-09, University of Nottingham, CREDIT.
    6. Tezanos Vázquez, Sergio, 2018. "The geography of development in Latin America and the Caribbean: towards a new multidimensional taxonomy of the Sustainable Development Goals," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    7. Shrestha, Anil & Mustafa, Andy Ali & Htike, Myo Myo & You, Vithyea & Kakinaka, Makoto, 2022. "Evolution of energy mix in emerging countries: Modern renewable energy, traditional renewable energy, and non-renewable energy," Renewable Energy, Elsevier, vol. 199(C), pages 419-432.
    8. Mangaraj, B.K. & Aparajita, Upali, 2020. "Constructing a generalized model of the human development index," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    9. Gianni Vaggi, 2015. "Development and the post-2015 challenges: making the Sustainable Development Goals work," DEM Working Papers Series 107, University of Pavia, Department of Economics and Management.
    10. Fendel Ralf & Stremmel Hanno, 2016. "Characteristics of Banking Crises: A Comparative Study with Geographical Contagion," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(3), pages 349-388, May.
    11. Dominik Paprotny, 2016. "Measuring Central and Eastern Europe’s Socio-Economic Development Using Time Lags," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(3), pages 939-957, July.

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