Editing Gini coefficient (section)

== Alternatives ==
Given the limitations of the Gini coefficient, other statistical methods are used in combination or as an alternative measure of population dispersity. For example, ''entropy measures'' are frequently used (e.g. the [[Atkinson index]] or the [[Theil Index]] and [[Mean log deviation]] as special cases of the [[generalized entropy index]]). These measures attempt to compare the distribution of resources by intelligent agents in the market with a maximum [[information entropy|entropy]] [[random distribution]], which would occur if these agents acted like non-interacting particles in a closed system following the laws of statistical physics.

The Ortego two-parameter model<ref name="ortega,1991">{{cite journal | last1=Ortega | first1=P. | last2=Martín | first2=G. | last3=Fernández | first3=A. | last4=Ladoux | first4=M. | last5=García | first5=A. | title=A New Functional Form for Estimating Lorenz Curves | journal=Review of Income and Wealth | volume=37 | issue=4 | date=1991 | issn=0034-6586 | doi=10.1111/j.1475-4991.1991.tb00383.x | pages=447–452}}</ref> may be superior to the GINI index.<ref name="Blesch,2022">{{cite journal | last1=Blesch | first1=Kristin | last2=Hauser | first2=Oliver P. | last3=Jachimowicz | first3=Jon M. | title=Measuring inequality beyond the Gini coefficient may clarify conflicting findings | journal=Nature Human Behaviour | volume=6 | issue=11 | date=2022 | issn=2397-3374 | pmid=36038775 | pmc=7614289 | doi=10.1038/s41562-022-01430-7 | pages=1525–1536}}</ref>