Granular Income Inequality and Mobility using IDDA: Exploring Patterns across Race and Ethnicity

We explore the evolution of income inequality and mobility in the U.S. for a large number of subnational groups defined by race and ethnicity, using granular statistics describing income distributions, income mobility, and conditional income growth derived from the universe of tax filers and W-2

本研究针对美国境内按种族与族裔界定的大量次国家级群体，借助源自全域纳税申报人及W-2表单的精细化统计指标——涵盖收入分布、收入流动性与条件收入增长——，探讨了美国收入不平等与收入流动性的演化态势。