基于分组数据的基尼系数估计与社会福利:1985～2009年

Estimation for Gini Coefficients Based on Grouped Data and the Social Welfare: 1985～2009

基于农村、城镇的收入分组数据,在广义BetaⅡ分布的假定下,本文得到一个基尼系数估计量。蒙特卡罗模拟实验表明,该基尼系数估计量是一个稳健的估计量。基于基尼系数的社会福利含义,本文建立了一个分析收入分配和经济增长影响社会福利的框架。实证分析显示,1985～2009年我国农村、城镇及总体的基尼系数都呈现上升趋势,社会福利水平也都呈现上升趋势,但总体的收入分配恶化大约抵消了经济增长带来的社会福利增加额的26.44%。

Given income grouped data and assuming the true distribution is generalized beta of the second kind, we estimate the gini coefficient. Monte Carlo simulation study shows that the estimation of gini in our paper is robust. We establish a framework for analyzing the change of the social welfare based on gini coefficient. Our results show that： from 1985 to 2009, the gini coefficient of China is raising, as well as the rural and urban; Social welfares are also raising; but increase of inequality offset about 26.44% of the increment of welfare caused by economic growth.