Estimating Lorenz and concentration curves
Estimating Lorenz and concentration curves
复制标题
DOI：
10.1177/1536867x1601600403
复制
发表时间：
2016-01-01
期刊：
影响因子：
4.8
通讯作者：
Jann, Ben
中科院分区：
文献类型：
--
作者：
Jann, Ben
洛伦兹曲线和浓度曲线是不等式研究中广泛使用的工具。在本文中，我将介绍一个新命令lorenz，它可以从单个级别的数据中估计Lorenz和浓度曲线，并可选地在图形中显示结果。Lorenz命令支持相对、广义、绝对、非归一化、自定义归一化Lorenz和浓度曲线。它还提供了计算不同亚群或结果变量之间对比的工具。Lorenz完全支持复杂样本的方差估计。
Lorenz and concentration curves are widely used tools in inequality research. In this article, I present a new command, lorenz, that estimates Lorenz and concentration curves from individual-level data and, optionally, displays the results in a graph. The lorenz command supports relative, generalized, absolute, unnormalized, custom-normalized Lorenz, and concentration curves. It also provides tools for computing contrasts between different subpopulations or outcome variables. lorenz fully supports variance estimation for complex samples.