CAJ | 학술논문

根据已有洛伦兹曲线模型,应用粒子群优化算法对洛伦兹曲线参数进行估计.由拟合的洛伦兹曲线计算2002-2011年我国城镇和农村的基尼系数,再利用“分组加权法”得出我国总体的基尼系数.结果表明：粒子群优化算法可以有效地估计洛伦兹曲线中的参数;由该算法的估计参数所确定的洛伦兹曲线估算2002-2011年基尼系数,其变化趋势与其它预测相符.从而为洛伦兹曲线提供了可靠、有效的参数估计方法.
근거이유락륜자곡선모형,응용입자군우화산법대락륜자곡선삼수진행고계.유의합적락륜자곡선계산2002-2011년아국성진화농촌적기니계수,재이용“분조가권법”득출아국총체적기니계수.결과표명：입자군우화산법가이유효지고계락륜자곡선중적삼수;유해산법적고계삼수소학정적락륜자곡선고산2002-2011년기니계수,기변화추세여기타예측상부.종이위락륜자곡선제공료가고、유효적삼수고계방법.
According to established Lorenz curve equation,this paper uses particle swarm optimization algorithm to estimate parameters of the equatiom Then it calculates the Gini coefficients of Chinese urban and rural from 2002 to 2011 by the fitted Lorenz curve . After that it computes Chinese overall Gini coefficient by weighting method. The final conclusion show that particle swarm optimization algorithm can effectively estimate parameters of Lorenz curve equatiom And the tendency of the Gini coefficients from 2002 to 2011 corresponds to the opinion of most scholars. So it provides a reliable and effective method for parameters estimation of Lorenz curve.