Empirical Analysis of Determinants of Income Inequality with Support Vector Machine

Abstract

A large-scale regression experiment to analyze the comprehensive determinants of income inequality across many countries has been carried out. A support vector machine (SVM) method was applied to the nonlinear regression analysis of the relation between Gini coefficients (as a dependent variable) of 161 countries and 57 factors (as explanatory variables) in economic, political, educational, health and technology fields. The optimum determinants for the income inequality were searched by`Å by`by`Å X1wå ‹ X[fOO Š OE OE 22 00 11 55 VV oo ll .. 22 55 ,, NN oo .. 3-22 22 33