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

Illenin Kondo, Kevin Rinz, Natalie Gubbay, Brandon Hawkins, Abigail Wozniak and John Voorheis

Working Papers from U.S. Census Bureau, Center for Economic Studies

Abstract: Shifting earnings inequality among U.S. workers over the last five decades has been widely stud ied, but understanding how these shifts evolve across smaller groups has been difficult. Publicly available data sources typically only ensure representative data at high levels of aggregation, so they obscure many details of earnings distributions for smaller populations. We define and construct a set of granular statistics describing income distributions, income mobility and con ditional income growth for a large number of subnational groups in the U.S. for a two-decade period (1998-2019). In this paper, we use the resulting data to explore the evolution of income inequality and mobility for detailed groups defined by race and ethnicity. We find that patterns identified from the universe of tax filers and W-2 recipients that we observe differ in important ways from those that one might identify in public sources. The full set of statistics that we construct is available publicly as the Income Distributions and Dynamics in America, or IDDA, data set.

Keywords: income inequality; racial income disparities; gender wage gap; granular inequality (search for similar items in EconPapers)
Pages: 27 pages
Date: 2023-11
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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https://www2.census.gov/library/working-papers/2023/adrm/ces/CES-WP-23-55.pdf First version, 2023 (application/pdf)

Related works:
Chapter: Granular Income Inequality and Mobility Using IDDA: Exploring Patterns across Race and Ethnicity (2024) Downloads
Working Paper: Granular Income Inequality and Mobility using IDDA: Exploring Patterns across Race and Ethnicity (2024) Downloads
Working Paper: Granular Income Inequality and Mobility using IDDA: Exploring Patterns across Race and Ethnicity (2024) Downloads
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