  The pursuit of having an appropriate level of income inequality should be
viewed as one of the biggest challenges facing academic scholars as well as
policy makers. Unfortunately, research on this issue is currently lacking. This
study is the first to introduce the theoretical concept of targeted level of
income inequality for a given size of population. By employing the World Bank's
data on population size and Gini coefficient from sixty-nine countries in 2012,
this study finds that the relationship between Gini coefficient and natural
logarithm of population size is nonlinear in the form of a second-degree
polynomial function. The estimated results using regression analysis show that
the majority of countries in the sample have Gini coefficients either too high
or too low compared to their appropriate values. These findings could be used
as a guideline for policy makers before designing and implementing public
policies in order to achieve the targeted level of income inequality.
