IDEAS home Printed from https://ideas.repec.org/p/ore/uoecwp/2004-18.html
   My bibliography  Save this paper

The Gini Coefficient Reveals More

Author

Listed:
  • Peter J. Lambert

    (University of Oregon Economics Department)

  • Andre Decoster

    (University of Leuven)

Abstract

We revisit the well-known decomposition of the Gini coefficient into between-groups, within-groups and overlap terms in the context of two groups in which the incomes in one group may be scaled and that groupÂ’s population weight modified. In this more general setting than usual, we focus on the properties of the overlap term, proving inter alia that overlap unambiguously reduces as a result of a within-group progressive transfer, and is increased by scaling up the incomes in the group with the lower mean, reaching a maximum when the two means become the same. In the case of a socially heterogeneous population and equivalized incomes, the effect on the Gini overlap of changing the income unit is determined, along with that of adjusting the equivalence scale deflator in case the income unit is the equivalent adult (such adjustment simultaneously changing the weighting of income units). Relationships of the findings to existing literature are thoroughly explored.

Suggested Citation

  • Peter J. Lambert & Andre Decoster, 2004. "The Gini Coefficient Reveals More," University of Oregon Economics Department Working Papers 2004-18, University of Oregon Economics Department, revised 05 Dec 2004.
  • Handle: RePEc:ore:uoecwp:2004-18
    as

    Download full text from publisher

    File URL: http://economics.uoregon.edu/papers/UO-2004-18_Lambert_Gini_reveals.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mornet, Pauline & Zoli, Claudio & Mussard, Stéphane & Sadefo-Kamdem, Jules & Seyte, Françoise & Terraza, Michel, 2013. "The (α, β)-multi-level α-Gini decomposition with an illustration to income inequality in France in 2005," Economic Modelling, Elsevier, vol. 35(C), pages 944-963.
    2. Paolo Liberati & Shlomo Yitzhaki, 2012. "GDP and beyond: an implementation of welfare considerations to the distribution of earnings in Italy," Departmental Working Papers of Economics - University 'Roma Tre' 0146, Department of Economics - University Roma Tre.
    3. Ebert, Udo, 2010. "The decomposition of inequality reconsidered: Weakly decomposable measures," Mathematical Social Sciences, Elsevier, vol. 60(2), pages 94-103, September.
    4. Paolo Liberati, 2015. "The World Distribution of Income And Its Inequality, 1970–2009," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(2), pages 248-273, June.
    5. Jiandong Chen & Dai Dai & Ming Pu & Wenxuan Hou & Qiaobin Feng, 2010. "The trend of the Gini coefficient of China," Global Development Institute Working Paper Series 10910, GDI, The University of Manchester.
    6. Shlomo Yitzhaki & Edna Schechtman, 2009. "The “melting pot”: A success story?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 7(2), pages 137-151, June.
    7. Javier Mart n-Rom n & Luis Ayala & Juan Vicente, 2017. "Regional inequality in decentralized countries: a multi-country analysis using LIS," LIS Working papers 697, LIS Cross-National Data Center in Luxembourg.
    8. Allanson, Paul, 2014. "Income stratification and between-group inequality," Economics Letters, Elsevier, vol. 124(2), pages 227-230.
    9. Lie Ma & Qiu Xie & Shiying Shi & Xiaosu Ye & Aifeng Zhao, 2017. "Regional Maldistribution of China’s Hospitals Based on Their Structural System," Sustainability, MDPI, vol. 9(6), pages 1-18, June.
    10. Shlomo Yitzhaki, 2015. "Gini’s mean difference offers a response to Leamer’s critique," METRON, Springer;Sapienza Università di Roma, vol. 73(1), pages 31-43, April.
    11. Schröder, Carsten & Yitzhaki, Shlomo, 2017. "Revisiting the evidence for cardinal treatment of ordinal variables," European Economic Review, Elsevier, vol. 92(C), pages 337-358.
    12. Ingvild Almås & Tarjei Havnes & Magne Mogstad, 2011. "Baby booming inequality? Demographic change and earnings inequality in Norway, 1967–2000," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(4), pages 629-650, December.
    13. Ingvild Almås & Magne Mogstady, 2009. "Older or wealthier? The impact of age adjustments on the wealth inequality ranking of countries," Working Papers 113, ECINEQ, Society for the Study of Economic Inequality.
    14. Monti, maria & Santoro, alessandro, 2010. "Stratification and between-group inequality: a new approach to measurement," MPRA Paper 29361, University Library of Munich, Germany.
    15. Shlomo Yitzhaki & Peter Lambert, 2013. "The relationship between the absolute deviation from a quantile and Gini’s mean difference," METRON, Springer;Sapienza Università di Roma, vol. 71(2), pages 97-104, September.
    16. Ivica Urban & Peter J. Lambert, 2008. "Redistribution, Horizontal Inequity, and Reranking," Public Finance Review, , vol. 36(5), pages 563-587, September.
    17. Giovanni M. Giorgi & Stefania Gubbiotti, 2017. "Celebrating the Memory of Corrado Gini: a Personality Out of the Ordinary," International Statistical Review, International Statistical Institute, vol. 85(2), pages 325-339, August.
    18. Francesco Andreoli & Vincenzo Prete & Claudio Zoli, 2023. "The measurement of segregation sensitive spatial income deprivation," Working Papers 03/2023, University of Verona, Department of Economics.
    19. Tetsugen HARUYAMA, 2021. "International Kuznets Curve (?): A Schumpeterian Model of the World Economy," Discussion Papers 2112, Graduate School of Economics, Kobe University.
    20. Chen, Jiandong & Cheng, Shulei & Song, Malin & Wang, Jia, 2016. "Interregional differences of coal carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 96(C), pages 1-13.
    21. Timm B nke & Carsten Schr der, 2007. "Inequality and welfare estimates using two alternative weighting schemes," LIS Working papers 463, LIS Cross-National Data Center in Luxembourg.
    22. Christian Otchia, 2014. "Agricultural Modernization, Structural Change and Pro-poor Growth: Policy Options for the Democratic Republic of Congo," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 3(1), pages 1-43, December.

    More about this item

    Keywords

    Gini decomposition; inequality decomposition; Gini residual;
    All these keywords.

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ore:uoecwp:2004-18. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bill Harbaugh (email available below). General contact details of provider: https://edirc.repec.org/data/deuorus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.