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On distributional change, pro-poor growth and convergence

Author

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  • Shatakshee Dhongde

    (Georgia Institute of Technology)

  • Jacques Silber

    (Bar-Ilan University
    Senior Research Fellow, LISER)

Abstract

This paper proposes a unified approach to the measurement of distributional change. The framework is used to define indices of inequality in proportional growth rates, convergence, and pro-poorness of growth and associated equivalent growth rates. A distinction is made between non-anonymous and anonymous measures. The analysis is extended by using the notion of generalized Gini index. This unified approach is then implemented to study the link between income and other non-income characteristics, such as education and health. Empirical illustrations based on Indian data on individual educational achievements and on state wide infant survival levels highlight the usefulness of the proposed measures.

Suggested Citation

  • Shatakshee Dhongde & Jacques Silber, 2016. "On distributional change, pro-poor growth and convergence," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(3), pages 249-267, September.
  • Handle: RePEc:spr:joecin:v:14:y:2016:i:3:d:10.1007_s10888-016-9321-y
    DOI: 10.1007/s10888-016-9321-y
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    3. Ismael Ahamdanech & Carmelo García-Pérez & Mercedes Prieto-Alaiz, 2020. "A Stochastic Dominance Approach to Evaluating Pro-Poor Growth—An Application to the Spanish Case," Sustainability, MDPI, vol. 12(5), pages 1-16, February.
    4. Elena Bárcena‐Martin & Jacques Silber & Yuan Zhang, 2024. "Measures of Relative and Absolute Convergence and Pro‐poor Growth with an Illustration based on China (2010–2018)," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 32(2), pages 1-41, March.
    5. Glawe, Linda & Wagner, Helmut, 2021. "Convergence, divergence, or multiple steady states? New evidence on the institutional development within the European Union," Journal of Comparative Economics, Elsevier, vol. 49(3), pages 860-884.
    6. Pérez-Moreno, Salvador & Bárcena-Martín, Elena & Ritzen, Jo, 2017. "Institutional diversity in the Euro area : Any evidence of convergence?," MERIT Working Papers 2017-047, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    7. Robert Duval-Hernandez & Gary S. Fields & George H. Jakubson, 2020. "Inequality and Panel Income Changes: Conditions for Possibilities and Impossibilities," Working Papers 541, ECINEQ, Society for the Study of Economic Inequality.
    8. Suman Seth & Gaston Yalonetzky, 2016. "Has the world converged? A robust analysis of non-monetary bounded indicators," Working Papers 398, ECINEQ, Society for the Study of Economic Inequality.
    9. Luis Ayala & Elena Bárcena-Martín & Jorge Martínez-Vázquez, 2022. "Devolution in the U.S. Welfare Reform: Divergence and Degradation in State Benefits," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(3), pages 701-726, September.
    10. Li, Qing & Vo, Long Hai & Wu, Yanrui, 2019. "Intangible capital distribution in China," Economic Systems, Elsevier, vol. 43(2), pages 1-1.
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    More about this item

    Keywords

    Convergence; Educational achievements; Gini index; India; Infant survival; Pro-poor growth; Relative concentration curve;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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