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

Author

Listed:
  • Illenin Kondo
  • Kevin Rinz
  • Natalie Gubbay
  • Brandon Hawkins
  • Abigail Wozniak
  • John Voorheis

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.

Suggested Citation

  • Illenin Kondo & Kevin Rinz & Natalie Gubbay & Brandon Hawkins & Abigail Wozniak & John Voorheis, 2023. "Granular Income Inequality and Mobility using IDDA: Exploring Patterns across Race and Ethnicity," Working Papers 23-55, Center for Economic Studies, U.S. Census Bureau.
    • Handle: RePEc:cen:wpaper:23-55
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    References listed on IDEAS

    as
    1. Deborah Wagner & Mary Lane, 2014. "The Person Identification Validation System (PVS): Applying the Center for Administrative Records Research and Applications’ (CARRA) Record Linkage Software," CARRA Working Papers 2014-01, Center for Economic Studies, U.S. Census Bureau.
    2. Randall Akee & Maggie R. Jones & Sonya R. Porter, 2019. "Race Matters: Income Shares, Income Inequality, and Income Mobility for All U.S. Races," Demography, Springer;Population Association of America (PAA), vol. 56(3), pages 999-1021, June.
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