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Race Matters: Income Shares, Income Inequality, and Income Mobility for All U.S. Races

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  • Randall Akee
  • Maggie R. Jones
  • Sonya R. Porter

Abstract

This paper presents income shares, income inequality, and income immobility measures for all race and ethnic groups in the United States using the universe of U.S. tax returns matched at the individual level to U.S. Census race data for 2000–2014. Whites and Asians have a disproportionately large share of income in top quantiles. Income for most race groups ranges between 50–80 percent of the corresponding White income level consistently across various percentiles in the overall income distribution—suggesting that class alone cannot explain away overall income differences. The rate of income growth at the 90th percentile exceeds that of the 50th and 10th percentiles for all race and ethnic groups; divergence is largest for Whites, however, in the post-Great Recession era. Income immobility is largest for the highest-income races. Overall, these results paint a picture of a rigid income structure by race and ethnicity over time.

Suggested Citation

  • Randall Akee & Maggie R. Jones & Sonya R. Porter, 2017. "Race Matters: Income Shares, Income Inequality, and Income Mobility for All U.S. Races," NBER Working Papers 23733, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:23733
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    4. Bacic, Ryan & Zheng, Angela, 2023. "Race and the income-achievement gap," CLEF Working Paper Series 55, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    5. Bruce D. Meyer & Nikolas Mittag & Derek Wu, 2024. "Race, Ethnicity and Measurement Error," NBER Chapters, in: Race, Ethnicity, and Economic Statistics for the 21st Century, National Bureau of Economic Research, Inc.
    6. Adrienne B. Lent & Carlos O. Garrido & Emily H. Baird & Ruta Viela & Robin B. Harris, 2022. "Racial/Ethnic Disparities in Health and Life Insurance Denial Due to Cancer among Cancer Survivors," IJERPH, MDPI, vol. 19(4), pages 1-10, February.
    7. Peter Ganong & Damon Jones & Pascal J. Noel & Fiona E. Greig & Diana Farrell & Chris Wheat, 2020. "Wealth, Race, and Consumption Smoothing of Typical Income Shocks," NBER Working Papers 27552, National Bureau of Economic Research, Inc.
    8. Marina Gindelsky, 2022. "Do transfers lower inequality between households? Demographic evidence from Distributional National Accounts," Economic Inquiry, Western Economic Association International, vol. 60(3), pages 1233-1257, July.
    9. Letian Zhang, 2023. "Racial Inequality in Work Environments," American Sociological Review, , vol. 88(2), pages 252-283, April.
    10. Randall Akee & Sonya R. Porter & Emilia Simeonova, 2021. "Earnings Inequality and Immobility for Hispanics and Asians: An Examination of Variation Across Subgroups," Working Papers 21-30, Center for Economic Studies, U.S. Census Bureau.
    11. Anna Sokolova & Todd Sorensen, 2021. "Monopsony in Labor Markets: A Meta-Analysis," ILR Review, Cornell University, ILR School, vol. 74(1), pages 27-55, January.
    12. Ariel J. Binder & Caroline Walker & Jonathan Eggleston & Marta Murray-Close, 2022. "Race, Class, and Mobility in U.S. Marriage Markets," Working Papers 22-59, Center for Economic Studies, U.S. Census Bureau.
    13. Guo, Ningning, 2022. "Hollowing out of opportunity: Automation technology and intergenerational mobility in the United States," Labour Economics, Elsevier, vol. 75(C).
    14. Collin Constantine, 2022. "Income Inequality in Guyana: Class or Ethnicity? New Evidence from Survey Data," Working Papers 631, ECINEQ, Society for the Study of Economic Inequality.
    15. Bacic, Ryan & Zheng, Angela, 2023. "Race and the Income-Achievement Gap," IZA Discussion Papers 16419, Institute of Labor Economics (IZA).
    16. Randall Akee & Sonya R. Porter & Emilia Simeonova, 2024. "Earnings Inequality and Immobility for Hispanics and Asians: An Examination of Variation across Subgroups," NBER Chapters, in: Race, Ethnicity, and Economic Statistics for the 21st Century, National Bureau of Economic Research, Inc.
    17. Ruiqiao Bai & Jacqueline C. K. Lam & Victor O. K. Li, 2023. "What dictates income in New York City? SHAP analysis of income estimation based on Socio-economic and Spatial Information Gaussian Processes (SSIG)," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    18. Tina J. Kauh & Jen’nan Ghazal Read & A. J. Scheitler, 2021. "The Critical Role of Racial/Ethnic Data Disaggregation for Health Equity," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(1), pages 1-7, February.
    19. Ryan Bacic & Angela Zheng, 2024. "Race and the Income‐Achievement Gap," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 5-23, January.
    20. Giacomo DiPasquale & Matthew Gomies & Javier M. Rodriguez, 2021. "Race and class patterns of income inequality during postrecession periods," Social Science Quarterly, Southwestern Social Science Association, vol. 102(6), pages 2812-2823, November.
    21. Jerônimo Muniz & Stanley R. Bailey, 2022. "Does race response shift impact racial inequality?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 47(30), pages 935-966.
    22. Fatima Mboup, 2023. "Economic Activity by Race," Working Papers 23-16, Federal Reserve Bank of Philadelphia.

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    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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