The Research And Application Of Gini Coefficient Decomposition And Kernel Density Estimation Method

With the development of society and economy, the social income distribution inequality has become more and more obvious. Therefore,the issue of income gap has become a focus of attention in the field of academics and society, and the appropriate approach to study the income gap has become a problem that researchers are generally faced.To study the structure of the income gap formation and reasons for such changes, an approach based on gini coefficient calculation and source decomposition is adopted in the quantitatively measure of income gap. In view of the actual study that residents’ income distribution is unknown, the monte carlo simulation combined with half nonparametric data expansion method of parameter adjustment method is introduced into the nonparametric density estimation and method, trying to correct the existing nonparametric estimation method. With a reasonable combination of the above methods, the study of urban residents’ income gap of Gansu Province is put into use.