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

Author

Listed:
  • Randall Akee

    (Brookings Institution
    UCLA
    National Bureau of Economic Research)

  • Maggie R. Jones

    (U.S. Census Bureau, Center for Economic Studies)

  • Sonya R. Porter

    (U.S. Census Bureau, Center for Economic Studies)

Abstract

Using unique linked data, we examine income inequality and mobility across racial and ethnic groups in the United States. Our data encompass the universe of income tax filers in the United States for the period 2000–2014, matched with individual-level race and ethnicity information from multiple censuses and American Community Survey data. We document both income inequality and mobility trends over the period. We find significant stratification in terms of average incomes by racial/ethnic group and distinct differences in within-group income inequality. The groups with the highest incomes—whites and Asians—also have the highest levels of within-group inequality and the lowest levels of within-group mobility. The reverse is true for the lowest-income groups: blacks, American Indians, and Hispanics have lower within-group inequality and immobility. On the other hand, low-income groups are also highly immobile in terms of overall, rather than within-group, mobility. These same groups also have a higher probability of experiencing downward mobility compared with whites and Asians. We also find that within-group income inequality increased for all groups between 2000 and 2014, and the increase was especially large for whites. The picture that emerges from our analysis is of a rigid income structure, with mainly whites and Asians positioned at the top and blacks, American Indians, and Hispanics confined to the bottom.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:demogr:v:56:y:2019:i:3:d:10.1007_s13524-019-00773-7
    DOI: 10.1007/s13524-019-00773-7
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    6. Bacic, Ryan & Zheng, Angela, 2023. "Race and the income-achievement gap," CLEF Working Paper Series 55, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    7. 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.
    8. 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.
    9. Bacic, Ryan & Zheng, Angela, 2023. "Race and the Income-Achievement Gap," IZA Discussion Papers 16419, Institute of Labor Economics (IZA).
    10. 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.
    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. Ryan Bacic & Angela Zheng, 2024. "Race and the Income‐Achievement Gap," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 5-23, January.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. Letian Zhang, 2023. "Racial Inequality in Work Environments," American Sociological Review, , vol. 88(2), pages 252-283, April.
    21. 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.
    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

    Keywords

    Income inequality; Income shares; Income mobility; Race; Administrative data;
    All these keywords.

    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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