Asymptotically Distribution-Free Statistical Inference for Generalized Lorenz Curves
提出广义洛伦兹曲线的渐近无分布统计推断方法，基于样本数据对社会福利进行有效推断，还可用于检验二阶随机占优。
This paper provides asymtotically distribution-free statistical inference procedures for generalized Lorenz curves. Given appropriate measures of income and the income recipient unit are chosen appropriately, the tests allow consensually valid statements regarding social welfare to be made from sample data on the basis of sound inferential procedures. More generally, the results presented here can be applied to test for second degree stochastic dominance. Copyright 1989 by MIT Press.