Assessing Global Inequality in Well-being Using Generalized Entropy Measures

Jordá, Vanesa; Trueba, Carmen; Sarabia, José Marı́a

doi:10.1016/s2212-5671(13)00043-9

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…This question was partially addressed by Martínez (2012), who computed several inequality measures for the old and the new versions of the HDI, which mainly differ in the assumed degree of substitution. Jordá et al (2013) calculated inequality measures for different elasticities of substitution between dimensions, concluding a convergence pattern in well-being under all of scenarios considered. We propose to extend these analyses computing inequality measures for a large number of combinations of the degree of substitution and the inequality aversion parameter.…”

Section: Introductionmentioning

confidence: 88%

Evolution of global inequality in human well-being: a sensitivity analysis

Jordá

Trueba

Sarabia

2015

IJCEE

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Abstract:In this paper, we study global inequality in well-being taking as a theoretical benchmark the Human Development Index (HDI), which comprises variables of income, health and education. We use a two-step methodology that involves the construction of a composite index in the first step on which inequality measures are computed. The use of these measures requires making choices on the standardisation of the variables and their weights, the rate of substitution between dimensions and the degree of inequality aversion in the society. We investigate the impact of these choices on the evolution of unweighted inequality over the period 1980-2011. We find the robust result that global inequality in human well-being decreased over the last 30 years.Keywords: HDI; Human Development Index; well-being; multidimensional inequality; generalised entropy.Reference to this paper should be made as follows: Jordá, V., Trueba, C. and Sarabia, J.M. (2015)

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Section: Introductionmentioning

confidence: 88%

Evolution of global inequality in human well-being: a sensitivity analysis

Jordá

Trueba

Sarabia

2015

IJCEE

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“…En los tres casos analizados (valores de γ 2, -1 y 0) la disminución es más atenuada para grados de sustitución elevados (β = -1 y 0), se acentúa un 9 En este tipo de análisis suelen considerarse varios valores para el parámetro β (Gigliariano y Mosler, 2009) con el fin de observar la robustez de los resultados ante la variación del mismo. Para una análisis sobre la sensibilidad de las medidas de entropía generalizada ante cambios en la elasticidad de sustitución entre variables véase Jordá et al (2013).…”

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Análisis multidimensional de la desigualdad en el marco del desarrollo humano

Jordá

Trueba

Sarabia

2020

EEA

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In this work we contribute to the study of well-being inequality conceived as a multidimensional process, analyzing inequality across countries in terms of the Human Development Index (HDI). To that end, we consider two alternative approaches based on the use of generalized entropy measures. Our results point out a reduction of inequality in the three dimensions considered by the HDI as well as in composite indicators of these components over the period 1980-2011. The decomposition of this type of inequality measures in two components, between-regions and within- regions, reveals that the fall of overall disparities is mainly driven by the decrease in inequality between regions.

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“…Lugo (2004) estimated the trend of multidimensional inequality in Argentina and concluded that despite the deteriorated effect of monetary inequality and income distribution, multidimensional inequality showed a declining trend over the period of time. Jorda et al (2013) had shown a declining trend of multidimensional inequality in a worldwide context. Rohde and Guest (2013) examined multidimensional inequality in the USA in a racial context from 1990 to 2007 by using health, education and income as basic dimensions and concluded that over the period of time inequalities show an increasing trend.…”

Section: Introductionmentioning

confidence: 99%

Dynamics of unidimensional and multidimensional inequality in Pakistan

Khalid

Zahid

Ahad

et al. 2019

IJSE

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Purpose The purpose of this paper is to measure the unidimensional and multidimensional inequality in the case of Pakistan and compare their results at the provincial as well as regional (urban and rural areas) level. The authors collected data from Pakistan Social and Living Standard Measurement and Household Integrated Economic Survey for fiscal years of 1998–1999 and 2013–2014. Design/methodology/approach The authors used Gini coefficient for unidimensional inequality and multidimensional indexing approach of Araar (2009) for multidimensional inequality. Findings The findings predicted that unidimensional inequality is relatively high in the urban area due to uneven dissemination of income, but multidimensional inequality is quite high in rural areas because of higher disparities among all dimensions. At the provincial level, Punjab has relatively high-income inequality followed by Sindh, KPK and Baluchistan. Originality/value This study is a pioneering effort to compare two time periods to explore unidimensional and multidimensional inequality in all provinces of Pakistan and their representative rural-urban regions by applying Araar and Duclos’s (2009) approach. Further, this study opens some new insights for policy makers.

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Assessing Global Inequality in Well-being Using Generalized Entropy Measures

Cited by 7 publications

References 6 publications

Evolution of global inequality in human well-being: a sensitivity analysis

Evolution of global inequality in human well-being: a sensitivity analysis

Análisis multidimensional de la desigualdad en el marco del desarrollo humano

Dynamics of unidimensional and multidimensional inequality in Pakistan

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