[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/ivi/wpasad/2009-16.html
   My bibliography  Save this paper

Generalizing the S-Gini Family: Some Properties

Author

Listed:
  • Ana Marta Urrutia Careaga

    (Universidad del País Vasco)

  • Francisco José Goerlich Gisbert

    (Instituto Valenciano de Investigaciones Económicas)

  • Mª Casilda Lasso de la Vega

    (Universidad del País Vasco)

Abstract
In the literature there are a number of generalizations of the Gini coefficient which inherit most of its appealing properties. These families allow the incorporation of different value judgments and all of them are more sensitive to transfers among the poorest individuals in society than to transfers among the richest. Consequently they fail to capture a fact with which perhaps not everybody agrees: it is always good for society to give much more additional income to the richest person than to the poorest one. The aim of this paper is to propose extensions of these generalizations of the Gini coefficient with measures which, preserving their properties, complete the information about all the inequality perceptions.

Suggested Citation

  • Ana Marta Urrutia Careaga & Francisco José Goerlich Gisbert & Mª Casilda Lasso de la Vega, 2009. "Generalizing the S-Gini Family: Some Properties," Working Papers. Serie AD 2009-16, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    • Handle: RePEc:ivi:wpasad:2009-16
    as

    Download full text from publisher

    File URL: http://www.ivie.es/downloads/docs/wpasad/wpasad-2009-16.pdf
    File Function: Fisrt version / Primera version, 2009
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mª Casilda Lasso de la Vega & Ana Marta Urrutia, 2003. "A new factorial decomposition for the atkinson measure," Economics Bulletin, AccessEcon, vol. 4(29), pages 1-12.
    2. Casilda Lasso de la Vega & Ana Urrutia, 2008. "The ‘Extended’ Atkinson family: The class of multiplicatively decomposable inequality measures, and some new graphical procedures for analysts," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(2), pages 211-225, June.
    3. repec:ebl:ecbull:v:4:y:2003:i:29:p:1-12 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Sonia Oreffice & Climent Quintana, 2009. "Anthropometry and Socioeconomics in the Couple: Evidence from the PSID," Working Papers 2009-22, FEDEA.
    2. Hjördis Hardardottir & Ulf‐G Gerdtham & Erik Wengström, 2021. "Parameterizing standard measures of income and health inequality using choice experiments," Health Economics, John Wiley & Sons, Ltd., vol. 30(10), pages 2531-2546, September.
    3. Carmen Puerta & Ana Urrutia, 2012. "Lower and upper tail concern and the rank dependent social evaluation functions," Economics Bulletin, AccessEcon, vol. 32(4), pages 3250-3259.
    4. John Creedy & S. Subramanian, 2023. "Exploring A New Class of Inequality Measures and Associated Value Judgements: Gini and Fibonacci-Type Sequences," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 110-131, May.
    5. Hardardottir, Hjördis & Gerdtham, Ulf-G. & Wengström, Erik, 2019. "What Kind of Inequality Do You Prefer? Evaluating Measures of Income and Health Inequality Using Choice Experiments," Working Papers 2019:7, Lund University, Department of Economics, revised 31 May 2019.
    6. Masato Okamoto, 2022. "Level-adjusted S-Gini index and its complementary index as a pair of sensitivity-adjustable inequality measures," Economics Bulletin, AccessEcon, vol. 42(1), pages 1-16.

    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. Francisco J. Goerlich-Gisbert & Casilda Lasso de la Vega & Ana Marta Urrutia, 2009. "The ‘extended’ Atkinson family and changes in the expenditure distribution. Spain 1973/74-2003," Journal of Income Distribution, Ad libros publications inc., vol. 18(1), pages 20-41, March.
    2. Judith Clarke & Nilanjana Roy, 2012. "On statistical inference for inequality measures calculated from complex survey data," Empirical Economics, Springer, vol. 43(2), pages 499-524, October.
    3. Li Donni, P & Peragine, V & Pignataro G, 2011. "Measuring equity in health: a normative decomposition," Health, Econometrics and Data Group (HEDG) Working Papers 11/06, HEDG, c/o Department of Economics, University of York.
    4. Casilda Lasso de la Vega & Ana Urrutia & Oscar Volij, 2011. "An Axiomatic Characterization Of The Theil Inequality Order," Working Papers 1103, Ben-Gurion University of the Negev, Department of Economics.
    5. Arthur Charpentier & Stéphane Mussard, 2011. "Income inequality games," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(4), pages 529-554, December.
    6. Casilda Lasso de la Vega & Ana Urrutia, 2008. "The ‘Extended’ Atkinson family: The class of multiplicatively decomposable inequality measures, and some new graphical procedures for analysts," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(2), pages 211-225, June.
    7. Eva Camacho-Cuena & Tibor Neugebauer & Christian Seidl, 2007. "Leaky Buckets Versus Compensating Justice: An Experimental Investigation," Working Papers 74, ECINEQ, Society for the Study of Economic Inequality.
    8. Paolo Li Donni & Vito Peragine & Giuseppe Pignataro, 2014. "Ex‐Ante And Ex‐Post Measurement Of Equality Of Opportunity In Health: A Normative Decomposition," Health Economics, John Wiley & Sons, Ltd., vol. 23(2), pages 182-198, February.
    9. Frank Bickenbach & Eckhardt Bode, 2008. "Disproportionality Measures of Concentration, Specialization, and Localization," International Regional Science Review, , vol. 31(4), pages 359-388, October.
    10. Muszyńska Joanna & Wędrowska Ewa, 2018. "Income Inequality of Households in Poland: A Subgroup Decomposition of Generalized Entropy Measures," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 22(4), pages 43-64, December.
    11. Daniel Suryadarma & Rima Prama Artha & Asep Suryahadi & Sudarno Sumarto, "undated". "A Reassessment of Inequality and Its Role in Poverty Reduction in Indonesia," Working Papers 364, Publications Department.
    12. Forster, Martin & La Torre, Davide & Lambert, Peter J., 2014. "Optimal control of inequality under uncertainty," Mathematical Social Sciences, Elsevier, vol. 68(C), pages 53-59.
    13. Guillaume Saint-Jacques & Amir Sepehri & Nicole Li & Igor Perisic, 2020. "Fairness through Experimentation: Inequality in A/B testing as an approach to responsible design," Papers 2002.05819, arXiv.org.
    14. Sumie Sato & Mototsugu Fukushige, 2012. "The Chinese economy and income inequality among East Asian countries," China Economic Journal, Taylor & Francis Journals, vol. 5(1), pages 1-15.
    15. Frank Cowell & Carlo Fiorio, 2011. "Inequality decompositions—a reconciliation," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(4), pages 509-528, December.
    16. Casilda Lasso de la Vega & Ana Urrutia & Oscar Volij, 2013. "An axiomatic characterization of the Theil inequality ordering," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 54(3), pages 757-776, November.
    17. Esso–Hanam Atake, 2021. "Socio‐economic inequality in maternal health care utilization in Sub‐Saharan Africa: Evidence from Togo," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(2), pages 288-301, March.
    18. Chiara Gigliarano & Karl Mosler, 2009. "Constructing indices of multivariate polarization," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 7(4), pages 435-460, December.
    19. Giuseppe Pignataro, 2010. "Measuring equality of opportunity by Shapley value," Economics Bulletin, AccessEcon, vol. 30(1), pages 786-798.
    20. Neal Fann & Henry A. Roman & Charles M. Fulcher & Mikael A. Gentile & Bryan J. Hubbell & Karen Wesson & Jonathan I. Levy, 2011. "Maximizing Health Benefits and Minimizing Inequality: Incorporating Local‐Scale Data in the Design and Evaluation of Air Quality Policies," Risk Analysis, John Wiley & Sons, vol. 31(6), pages 908-922, June.

    More about this item

    Keywords

    Gini; Relative and Absolute Inequality Measures; Social Welfare.;
    All these keywords.

    JEL classification:

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

    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:ivi:wpasad:2009-16. 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: Departamento de Edición (email available below). General contact details of provider: https://edirc.repec.org/data/ievages.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.