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International Convergence in Well-Being Indicators

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  • Vanesa Jordá

    ()

  • José Sarabia

    ()

Abstract

We re-examine the concept of beta-convergence in living standards across countries during the period 1980–2012. In this study, well-being is assessed using the Human Development Index (HDI) which considers income aspects as well as social indicators, thus reflecting the multidimensional nature of this process. The existence of sigma convergence is evidenced in this study and hence beta convergence, as a necessary condition, is also pointed out. However, the linearity of this process has been questioned. Therefore, we apply a semiparametric specification of this process to the HDI and each of its intermediate indices. These models allows for nonlinearities in the estimation of the convergence speed. Our results reveal that absolute convergence in human well-being is satisfactorily represented by the conventional linear specification. However the income and education indices show nonlinear patterns. We also include structural variables to capture differences in the steady-state (conditional convergence). Under this model, convergence speed of all indicators is higher and the convergence process seems to be linear only for the health index. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Vanesa Jordá & José Sarabia, 2015. "International Convergence in Well-Being Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(1), pages 1-27, January.
  • Handle: RePEc:spr:soinre:v:120:y:2015:i:1:p:1-27
    DOI: 10.1007/s11205-014-0588-8
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    Cited by:

    1. Antonella Ferrara & Rosanna Nisticò, 2015. "Regional well-being indicators and dispersion from a multidimensional perspective: evidence from Italy," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(2), pages 373-420, December.
    2. Paschalis Arvanitidis & Christos Kollias & Petros Messis, 2016. "Asymmetric Convergence in Globalization? Findings from a Disaggregated Analysis," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 14(2 (Summer), pages 117-135.
    3. Antonella Rita Ferrara & Rosanna Nisticò, 2014. "Measuring Well-Being In A Multidimensional Perspective: A Multivariate Statistical Application To Italian Regions," Working Papers 201406, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    4. Bienvenido Ortega & Antonio Casquero & Jesús Sanjuán, 2016. "Corruption and Convergence in Human Development: Evidence from 69 Countries During 1990–2012," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(2), pages 691-719, June.
    5. Claudio Berardino & Giuseppe Mauro & Davide Quaglione & Alessandro Sarra, 2016. "Industrial Districts and Socio-economic Well-Being: An Investigation on the Italian Provinces Disparities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(1), pages 337-363, October.

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