Mixing Calculation Of The Gini Coefficient And Its Non-parametric Estimation Analysis

The government working meeting concerned again concentration in income distribution reform issue in 2011.Leaders puts forward the work deployment, demand increased income distribution reform. The year of 2011 is the twelfth of 5 years of planning to start the year, but also accelerate the transformation of the mode of economic development important opportunity. Since the reform and opening up, the economy of china has been close to double-digit growth, meanwhile, various factors in the unceasing increase the income gap. In this respect, narrowing the income gap of residents is a pressing problem.Gini coefficient is the international comprehensive investigation residents income distribution gap between the main index, has been seriously, to measure income gap has irreplaceable status. But because of the data of China existing particularity, so this makes Gini coefficient calculation no unified standard.In this paper, the author of the whole Gini coefficient and mixed Gini coefficient of the relevant theory of research and analysis, and performs to comb summary. Secondly, to urban and rural packet data processing and arranged them for unified urban-rural data, applying generalized logistic function fitting, calculated our 20 regions in 1996～2008 rural Gini coefficient, town Gini coefficient and mixed Gini coefficient. Finally, using the nonparametric estimates of the kernel density estimation method of three numerical trend analysis, it is concluded that the three Gini coefficient of expanding conclusion.