IDEAS home Printed from https://ideas.repec.org/p/inq/inqwps/ecineq2013-289.html
   My bibliography  Save this paper

The β Family of Inequality Measures

Author

Listed:
  • Luis José Imedio Olmedo

    (Dpto. Estadistica y Econometria (68). Facultad de Ciencias Economicas y Empresariales. Campus El Ejido s/n. Universidad de Malaga, 29013 Malaga.)

  • Encarnación M. Parrado Gallardo

    (Dpto. Estadistica y Econometria (68). Facultad de Ciencias Economicas y Empresariales. Campus El Ejido s/n. Universidad de Malaga, 29013 Malaga)

  • Elena Bárcena Martín

    (Dpto. Estadistica y Econometria (68). Facultad de Ciencias Economicas y Empresariales. Campus El Ejido s/n. Universidad de Malaga, 29013 Malaga. Telf. +34 952 131 191)

Abstract

This paper introduces and analyses, both normatively and statistically, a new class of inequality measures. This class generalizes and comprises different well-known families of inequality measures as particular cases. The elements of this new class are obtained by weighting local inequality evaluated through the Bonferroni curve. The weights are the density functions of the beta distributions over [0,1]. Therefore, the weights are not necessarily monotonic. This allows us to choose the inequality measures that are more or less sensitive to changes that could take place in any part of the distribution. As a consequence of the different weighting schemes attached to the indexes, the elements of the class introduce very dissimilar value judgements in the measurement of inequality and welfare. The possibility of choosing the index that focuses on a specific percentile, and not necessarily on the extremes of the distribution, is one of the advantages of our proposal.

Suggested Citation

  • Luis José Imedio Olmedo & Encarnación M. Parrado Gallardo & Elena Bárcena Martín, 2013. "The β Family of Inequality Measures," Working Papers 289, ECINEQ, Society for the Study of Economic Inequality.
  • Handle: RePEc:inq:inqwps:ecineq2013-289
    as

    Download full text from publisher

    File URL: http://www.ecineq.org/milano/WP/ECINEQ2013-289.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Lorenz curve; Bonferroni curve; preference distributions; inequality aversion; beta distribution;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

    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:inq:inqwps:ecineq2013-289. 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: Maria Ana Lugo (email available below). General contact details of provider: https://edirc.repec.org/data/ecineea.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.