IDEAS home Printed from https://ideas.repec.org/p/zbw/kondp1/165.html
   My bibliography  Save this paper

An approximation to the Gini coefficient for a population based on sparse information for sub-groups

Author

Listed:
  • Braulke, Michael

Abstract

Based on the assumption that the sectoral income distributions follow a Pareto distribution, a simple approximation to the aggregate Gini coefficient for a two-sector economy was developed which works on a minimum of information. As a matter of fact, merely the sectoral Gini coefficients, the mean incomes, and the distribution of population between sectors are needed to apply it. Its accuracy appears to be satisfactory and it should therefore be particularly useful, at least as a first investigative step, in the analysis of the income distribution of developing countries where the data base is small and the dual concept represents a meaningful approach, i.e. of countries with a distinctive difference between the export-sector, the modern sector or the urban sector etc. and the rest of the economy.

Suggested Citation

  • Braulke, Michael, 1982. "An approximation to the Gini coefficient for a population based on sparse information for sub-groups," Discussion Papers, Series I 165, University of Konstanz, Department of Economics.
    • Handle: RePEc:zbw:kondp1:165
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/75145/1/687550491.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Knight, J B, 1976. "Explaining Income Distribution in Less Developed Countries: A Framework and an Agenda," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 38(3), pages 161-177, August.
    2. Shorrocks, A F, 1980. "The Class of Additively Decomposable Inequality Measures," Econometrica, Econometric Society, vol. 48(3), pages 613-625, April.
    3. Pyatt, Graham, 1976. "On the Interpretation and Disaggregation of Gini Coefficients," Economic Journal, Royal Economic Society, vol. 86(342), pages 243-255, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Luc Savard & Stéphane Mussard, 2005. "Micro-simulation and Multi-decomposition: A Case Study: Philippines," Cahiers de recherche 05-02, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    2. Magne Mogstad, 2007. "Measuring Income Inequality under Restricted Interpersonal Comparability," Discussion Papers 498, Statistics Norway, Research Department.
    3. Maria Ana Lugo & Esfandiar Maasoumi, 2008. "Multidimensional Poverty Measures from an Information Theory Perspective," Working Papers 85, ECINEQ, Society for the Study of Economic Inequality.
    4. Stéphane Mussard & Pi Alperin María Noel & Françoise Seyte & Michel Terraza, 2005. "Extensions Of Dagum’S Gini Decomposition," Cahiers de recherche 05-07, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    5. Mussard, Stéphane & Pi Alperin, Maria Noel, 2011. "Poverty growth in Scandinavian countries: A Sen multi-decomposition," Economic Modelling, Elsevier, vol. 28(6), pages 2842-2853.
    6. Stéphane Mussard, 2007. "Between-Group Pigou Dalton Transfers," Cahiers de recherche 07-06, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    7. Ferreira,Francisco H. G., 2022. "The Analysis of Inequality in the Bretton Woods Institutions," Policy Research Working Paper Series 10149, The World Bank.
    8. Perdamen Sagala & Takahiro Akita & Arief Yusuf, 2014. "Urbanization and expenditure inequality in Indonesia: testing the Kuznets hypothesis with provincial panel data," Letters in Spatial and Resource Sciences, Springer, vol. 7(3), pages 133-147, October.
    9. Leonardo Bonilla Mejía, 2011. "Diferencias regionales en la distribución del ingreso en Colombia," Revista Sociedad y Economía, Universidad del Valle, CIDSE, December.
    10. Chiang, Yen-Sheng, 2015. "Inequality measures perform differently in global and local assessments: An exploratory computational experiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 437(C), pages 1-11.
    11. Stéphane Mussard & Michel Terraza, 2009. "Décompositions des mesures d'inégalité : le cas des coefficients de Gini et d'entropie," Recherches économiques de Louvain, De Boeck Université, vol. 75(2), pages 151-181.
    12. HAMIDOUCHE M’hamed & BOURCHID ABDELKADER Salim, 2020. "Concentration of Economic Activities in the Kingdom of Saudi Arabia," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 01, March.
    13. Stéphane Mussard & Françoise Seyte & Michel Terraza, 2006. "La décomposition de l’indicateur de Gini en sous-groupes : une revue de la littérature," Cahiers de recherche 06-11, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    14. Luc Savard & Stéphane Mussard, 2005. "Horizontal and Vertical Redistribution and Micro-simulation," Cahiers de recherche 05-03, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    15. Anthony Shorrocks, 2013. "Decomposition procedures for distributional analysis: a unified framework based on the Shapley value," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(1), pages 99-126, March.
    16. Johannes Schwarze, 1993. "Ein Ansatz zur empirischen Analyse der gesamtdeutschen Einkommensverteilung," Discussion Papers of DIW Berlin 78, DIW Berlin, German Institute for Economic Research.
    17. Takahiro Akita & Heryanah, 2013. "Educational Expansion and Inequality in Indonesia: Testing the Kuznets Hypothesis with Provincial Panel Data," Working Papers EMS_2013_18, Research Institute, International University of Japan.
    18. Geoffrey Warner, 2001. "A lorenz curve based index of income stratification," The Review of Black Political Economy, Springer;National Economic Association, vol. 28(3), pages 41-57, December.
    19. Paolo Liberati & Giuliano Resce, 2022. "Regional Well-Being and its Inequality in the OECD Member Countries," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(3), pages 671-700, September.
    20. García Gámez, Sofía & Vicéns Otero, José, 2006. "Determining factors in the measurement of the sovereign risk in the emerging countries/Factores condicionantes en la medición del riesgo soberano en los países emergentes," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 24, pages 245-272, Abril.

    More about this item

    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:zbw:kondp1:165. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/fwkonde.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.