Editing Gini coefficient (section)

===Country size and granularity bias===
Gini index has a downward-bias for small populations.<ref>{{cite journal|title=The Small-Sample Bias of the Gini Coefficient: Results and Implications for Empirical Research|journal=The Review of Economics and Statistics|first=George|last=Deltas|date=February 2003|volume= 85|issue=1|pages=226–234|doi=10.1162/rest.2003.85.1.226|jstor=3211637|s2cid=57572560}}</ref> Counties or states or countries with small populations and less diverse economies will tend to report small Gini coefficients. For economically diverse large population groups, a much higher coefficient is expected than for each of its regions. For example, taking the world economy as a whole and income distribution for all human beings, different scholars estimate the global Gini index to range between 0.61 and 0.68.<ref name=fao2009 /><ref name=undp10 />
As with other inequality coefficients, the Gini coefficient is influenced by the [[granularity]] of the measurements. For example, five 20% quantiles (low granularity) will usually yield a lower Gini coefficient than twenty 5% quantiles (high granularity) for the same distribution. Philippe Monfort has shown that using inconsistent or unspecified granularity limits the usefulness of Gini coefficient measurements.<ref>{{cite web|title=Convergence of EU regions: Measures and evolution|first=Philippe|last=Monfort|publisher=European Union – Europa|page=6|year=2008|url=http://ec.europa.eu/regional_policy/sources/docgener/work/200801_convergence.pdf |archive-url=https://web.archive.org/web/20120803160544/http://ec.europa.eu/regional_policy/sources/docgener/work/200801_convergence.pdf |archive-date=2012-08-03 |url-status=live}}</ref>