Divergence between parametric income distributions
提出一种基于熵的差异测度，推导了常用于收入分布的几种参数分布的解析表达式，并用1970-2019年美国收入数据发现1980-2000年间存在显著差异，前后相对稳定。
Situations often arise in which we are interested in measuring divergence between distributions over time or across regions. This paper proposes an entropy measure of divergence and derives analytical expressions for several parametric distributions widely used in modelling income distributions. An empirical application using income distribution data for the US from 1970 to 2019 shows a significant divergence or shift during the 1980–2000 period but relative stability on either side of this period.