IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-03911502.html
   My bibliography  Save this paper

The Gini coefficient and negative income: A probabilistic approach

Author

Listed:
  • Karim Kilani

    (LIRSA - Laboratoire interdisciplinaire de recherche en sciences de l'action - CNAM - Conservatoire National des Arts et Métiers [CNAM] - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université)

Abstract

This paper discusses the Gini index when a mass of individuals in the population sharing the wealth suffers a loss. This question has been addressed in the statistical framework while here it is treated from a probabilistic point of view, which allows us to be as exhaustive as possible. The assumptions are the most general ones on probability distributions. We determine a condition on the Lorenz function that generates a Gini index that exceeds unity. We construct an adjusted Gini index, i.e. one that remains within limits between zero and one, according to a method advocated in the statistical framework. After having recovered the recommended index in the statistical case, we apply the method to continuous distributions, namely the uniform distribution and the generalized Pareto distribution, thus showing the operability of the method.

Suggested Citation

  • Karim Kilani, 2022. "The Gini coefficient and negative income: A probabilistic approach," Working Papers hal-03911502, HAL.
  • Handle: RePEc:hal:wpaper:hal-03911502
    Note: View the original document on HAL open archive server: https://hal.science/hal-03911502
    as

    Download full text from publisher

    File URL: https://hal.science/hal-03911502/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Chau-Nan & Tsaur, Tien-Wang & Rhai, Tong-Shieng, 1982. "The Gini Coefficient and Negative Income," Oxford Economic Papers, Oxford University Press, vol. 34(3), pages 473-478, November.
    2. Gastwirth, Joseph L, 1972. "The Estimation of the Lorenz Curve and Gini Index," The Review of Economics and Statistics, MIT Press, vol. 54(3), pages 306-316, August.
    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. Korb, Penelope J. & Blank, Steven C. & Erickson, Kenneth W., 2004. "Profit Patterns In The U.S. And The West, 1992 And 1997: What County-Level Data Reveal," 2004 Annual Meeting, June 30-July 2, 2004, Honolulu, Hawaii 36253, Western Agricultural Economics Association.
    2. Paolo Delle Site & André de Palma & Karim Kilani, 2021. "Consumers’ welfare and compensating variation: survey and mode choice application," THEMA Working Papers 2021-11, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    3. Xiaofeng Lv & Gupeng Zhang & Guangyu Ren, 2017. "Gini index estimation for lifetime data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(2), pages 275-304, April.
    4. Tom Van Ourti & Philip Clarke, 2008. "The Bias of the Gini Coefficient due to Grouping," Tinbergen Institute Discussion Papers 08-095/3, Tinbergen Institute.
    5. Boisvert, Richard N. & Ranney, Christine K., 1990. "Accounting For The Importance Of Nonfarm Income On Farm Family Income Inequality In New York," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 19(1), pages 1-11, April.
    6. Igor Fedotenkov, 2020. "A Review of More than One Hundred Pareto-Tail Index Estimators," Statistica, Department of Statistics, University of Bologna, vol. 80(3), pages 245-299.
    7. repec:use:tkiwps:3333 is not listed on IDEAS
    8. Modalsli, Jørgen, 2011. "Inequality and growth in the very long run: inferring inequality from data on social groups," Memorandum 11/2011, Oslo University, Department of Economics.
    9. Stephen Davies & Peter L. Ormosi, 2014. "The economic impact of cartels and anti-cartel enforcement," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2013-07v2, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    10. Zhu, Yongjun & Yan, Erjia, 2017. "Examining academic ranking and inequality in library and information science through faculty hiring networks," Journal of Informetrics, Elsevier, vol. 11(2), pages 641-654.
    11. Csörgö, Miklós & Zitikis, Ricardas, 1997. "On the rate of strong consistency of Lorenz curves," Statistics & Probability Letters, Elsevier, vol. 34(2), pages 113-121, June.
    12. Johan Fellman, 2021. "Empirical Analyses of Income: Finland (2009) and Australia (1967-1968)," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 10(1), pages 1-3.
    13. WANG, Zuxiang & SMYTH, Russell & NG, Yew-Kwang, 2009. "A new ordered family of Lorenz curves with an application to measuring income inequality and poverty in rural China," China Economic Review, Elsevier, vol. 20(2), pages 218-235, June.
    14. Ugo Panizza, 1999. "Desigualdad del ingreso y crecimiento económico: elementos de juicio de datos de USA," Research Department Publications 4179, Inter-American Development Bank, Research Department.
    15. Emanuela Raffinetti & Elena Siletti & Achille Vernizzi, 2015. "On the Gini coefficient normalization when attributes with negative values are considered," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(3), pages 507-521, September.
    16. Nadja El Benni & Robert Finger & Stefan Mann & Bernard Lehmann, 2012. "The distributional effects of agricultural policy reforms in Switzerland," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 58(11), pages 497-509.
    17. James B. Mcdonald & Jeff Sorensen & Patrick A. Turley, 2013. "Skewness And Kurtosis Properties Of Income Distribution Models," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(2), pages 360-374, June.
    18. Achille VERNIZZI & Maria Giovanna MONTI & Marek KOSNY, 2006. "An overall inequality reducing and horizontally equitable tax system with application to Polish data," Departmental Working Papers 2006-15, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    19. Anthony B Aktinson, 2015. "Top incomes in East Africa before and after independence," Working Papers halshs-02654566, HAL.
    20. Huimin Xu & Shougeng Hu & Xi Li, 2023. "Urban Distribution and Evolution of the Yangtze River Economic Belt from the Perspectives of Urban Area and Night-Time Light," Land, MDPI, vol. 12(2), pages 1-21, January.
    21. Yves Tillé, 2016. "The legacy of Corrado Gini in survey sampling and inequality theory," METRON, Springer;Sapienza Università di Roma, vol. 74(2), pages 167-176, August.

    More about this item

    Keywords

    Adjusted Gini index; Lorenz function; Negative income; Quantile function JEL classification. C43;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

    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:hal:wpaper:hal-03911502. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.