RUDN Journal of Economics (Dec 2021)

Group averaging and the Gini deviation

  • Oleg I. Pavlov,
  • Olga Yu. Pavlova

DOI
https://doi.org/10.22363/2313-2329-2021-29-3-595-605
Journal volume & issue
Vol. 29, no. 3
pp. 595 – 605

Abstract

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It is known that partitioning a society into groups with subsequent averaging in each group decreases the Gini coefficient. The resulting Lorenz function is piecewise linear. This study deals with a natural question: by how much the Gini coefficient could decrease when passing to a piecewise linear Lorenz function? Obtained results are quite illustrative (since they are expressed in terms of the geometric parameters of the polygon Lorenz curve, such as the lengths of its segments and the angles between successive segments) upper bound estimates for the maximum possible change in the Gini coefficient with a restriction on the group shares, or on the difference between the averaged values of the attribute for consecutive groups. It is shown that there exist Lorenz curves with the Gini coefficient arbitrarily close to one, and at the same time with the Gini coefficient of the averaged society arbitrarily close to zero.

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