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The Gini-Type Functions: An Alternative Derivation

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  • Milanovic, Branko

Abstract

The purpose of this note is to propose an alternative and intuitively simpler derivation of the Gini coefficient (in Section 1), to show how it can be generalized and how then a number of coefficients (concentration coefficient, Kakwani's progressivity index) are obtained directly from this generalization (Section 2), and finally to use this approach to obtain some Gini relationships (Section 3). Copyright 1994 by Blackwell Publishing Ltd and the Board of Trustees of the Bulletin of Economic Research

Suggested Citation

  • Milanovic, Branko, 1994. "The Gini-Type Functions: An Alternative Derivation," Bulletin of Economic Research, Wiley Blackwell, vol. 46(1), pages 81-90, January.
    • Handle: RePEc:bla:buecrs:v:46:y:1994:i:1:p:81-90
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    References listed on IDEAS

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    1. Kakwani, Nanak, 1987. "Measures of Tax Progressivity and Redistribution Effect: A Comment," Public Finance = Finances publiques, , vol. 42(3), pages 431-434.
    2. John C. H. Fei & Gustav Ranis & Shirley W. Y. Kuo, 1978. "Growth and the Family Distribution of Income by Factor Components," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 92(1), pages 17-53.
    3. Graham Pyatt & Chau-nan Chen & John Fei, 1980. "The Distribution of Income by Factor Components," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 95(3), pages 451-473.
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    Cited by:

    1. Kwang Soo Cheong, 1999. "A Note on the Interpretation and Application of the Gini Coefficient," Working Papers 199901, University of Hawaii at Manoa, Department of Economics.
    2. Milanovic, Branko, 1997. "A simple way to calculate the Gini coefficient, and some implications," Economics Letters, Elsevier, vol. 56(1), pages 45-49, September.
    3. Tatjana Miljkovic & Ying-Ju Chen, 2021. "A new computational approach for estimation of the Gini index based on grouped data," Computational Statistics, Springer, vol. 36(3), pages 2289-2311, September.
    4. Mohamed Bouincha & Mohamed Karim, 2018. "Income Inequality and Economic Growth: An Analysis Using a Panel Data," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(5), pages 242-253, May.
    5. Loughrey, Jason James & Donnellan, Trevor, 2017. "Inequality and Concentration in Farmland Size: A Regional Analysis for Western Europe," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261112, European Association of Agricultural Economists.
    6. Milanovic, Branko, 2024. "The three eras of global inequality, 1820–2020 with the focus on the past thirty years," World Development, Elsevier, vol. 177(C).
    7. Ceren Baysan & Marshall Burke & Felipe González & Solomon Hsiang & Edward Miguel, 2018. "Economic and Non-Economic Factors in Violence: Evidence from Organized Crime, Suicides and Climate in Mexico," NBER Working Papers 24897, National Bureau of Economic Research, Inc.
    8. Kwang Soo Cheong, 1999. "Economic Crisis and Income Inequality in Korea," Working Papers 199906, University of Hawaii at Manoa, Department of Economics.
    9. Ville, Simon & Valadkhani, Abbas & O'Brien, Martin, 2005. "The Distribution of Research Performance Across Australian Universities, 1992-2003, and Its Implications for Higher Education Funding Models," Economics Working Papers wp05-26, School of Economics, University of Wollongong, NSW, Australia.
    10. Baysan, Ceren & Burke, Marshall & González, Felipe & Hsiang, Solomon & Miguel, Edward, 2019. "Non-economic factors in violence: Evidence from organized crime, suicides and climate in Mexico," Journal of Economic Behavior & Organization, Elsevier, vol. 168(C), pages 434-452.
    11. Amlan Majumder & Takayoshi Kusago, 2013. "A discreet approach to study the distribution-free downward biases of Gini coefficient and the methods of correction in cases of small observations," Working Papers 298, ECINEQ, Society for the Study of Economic Inequality.

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