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Measuring Non-Economic Well-Being Achievement

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  • Mark McGillivray
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    Abstract

    Income per capita and most widely reported, non- or non-exclusively income based human well-being indicators are highly correlated among countries. Yet many countries exhibit higher achievement in the latter than predicted by the former. The reverse is true for many other countries. This paper commences by extracting the inter-country variation in a composite of various widely-reported, non-income-based well-being indices not accounted for by variations in income pre capita. This extraction is interpreted inter alia as a measure of non-economic well-being. The paper then looks at correlations between this extraction and a number of new or less widely-used well-being measures, in an attempt to find the measure that best captures these achievements. A number of indicators are examined, including measures of poverty, inequality, health status, education status, gender bias, empowerment, governance and subjective well-being. Copyright 2005 Blackwell Publishing Ltd.

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    File URL: http://www.blackwell-synergy.com/links/doi/10.1111/j.1475-4991.2005.00157.x/enhancedabs
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    Bibliographic Info

    Article provided by International Association for Research in Income and Wealth in its journal Review of Income and Wealth.

    Volume (Year): 51 (2005)
    Issue (Month): 2 (06)
    Pages: 337-364

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    Handle: RePEc:bla:revinw:v:51:y:2005:i:2:p:337-364

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    Cited by:
    1. Klasen, Stephan, 2007. "Poverty, Undernutrition, and Child Mortality: Some Inter-Regional Puzzles and their Implications for Research and Policy," Proceedings of the German Development Economics Conference, Göttingen 2007 17, Verein für Socialpolitik, Research Committee Development Economics.
    2. Gail Pacheco & Stephanie Rossouw & Joshua Lewer, 2013. "Do Non-Economic Quality of Life Factors Drive Immigration?," Social Indicators Research, Springer, vol. 110(1), pages 1-15, January.
    3. Maria Francesca Cracolici & Miranda Cuffaro & Peter Nijkamp, 2008. "Analysis of Spatial Disparities by a Structural Equations Model," Tinbergen Institute Discussion Papers 08-058/3, Tinbergen Institute.
    4. Berenger, Valerie & Verdier-Chouchane, Audrey, 2007. "Multidimensional Measures of Well-Being: Standard of Living and Quality of Life Across Countries," World Development, Elsevier, vol. 35(7), pages 1259-1276, July.
    5. Stephanié Rossouw & Gail Pacheco, 2012. "Measuring Non-Economic Quality of Life on a Sub-National Level: A Case Study of New Zealand," Journal of Happiness Studies, Springer, vol. 13(3), pages 439-454, June.
    6. Sabina Alkire, 2008. "Concepts and Measures of Agency," OPHI Working Papers ophiwp010, Queen Elizabeth House, University of Oxford.
    7. Valérie BÉRENGER, 2013. "La Croissance A-T-Elle Ete « Pro-Pauvres » En Termes De Niveau De Vie Et D’Education En Egypte Entre 2000 Et 2008 ?," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 37, pages 119-148.
    8. Mehmet Pinar & Thanasis Stengos & Nikolas Topaloglou, 2012. "Measuring human development: a stochastic dominance approach," Working Papers 1209, University of Guelph, Department of Economics and Finance.
    9. Delhey, Jan & Kroll, Christian, 2012. "A "happiness test" for the new measures of national well-being: How much better than GDP are they?," Discussion Papers, Research Unit: Inequality and Social Integration SP I 2012-201, Social Science Research Center Berlin (WZB).
    10. Riccardo Natoli & Segu Zuhair, 2013. "The Resource-Infrastructure-Environment Index for Measuring Progress: An Application to Australia, Mexico and the US," Social Indicators Research, Springer, vol. 110(1), pages 31-54, January.
    11. repec:dgr:uvatin:2008058 is not listed on IDEAS

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