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Household Incomes in Tax Data : Using Addresses to Move from Tax Unit to Household Income Distributions

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Abstract

Tax return data are increasingly the standard for tracking income statistics in the United States. However, these data have traditionally been limited by their inability to capture non-filers and to identify members of separate tax units living in the same household. We overcome these obstacles and create household records directly in the tax data using mailing address information included on tax forms. We then present the first set of tax-based household income and inequality measures for the entire income distribution. When comparing household income inequality results in the tax data to those using the March CPS, we confirm previous findings that the March CPS understates the inequality of household income. However, we also find that the previous approach of using tax units in the IRS data to proxy for households leads to an overstatement of household income inequality. Finally, using households in the IRS tax records, we illustrate how focusing on tax units rather than households alters the observed distribution of tax programs such as the Earned Income Tax Credit.

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  • Jeff Larrimore & Jacob Mortenson & David Splinter, 2017. "Household Incomes in Tax Data : Using Addresses to Move from Tax Unit to Household Income Distributions," Finance and Economics Discussion Series 2017-002, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgfe:2017-02
    DOI: 10.17016/FEDS.2017.002
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    1. Richard Burkhauser & Shuaizhang Feng & Stephen Jenkins & Jeff Larrimore, 2009. "Recent Trends in Top Income Shares in the USA: Reconciling Estimates from March CPS and IRS Tax Return Data," Working Papers 09-26, Center for Economic Studies, U.S. Census Bureau.
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    15. Jeff Larrimore & Jacob Mortenson & David Splinter, 2015. "Income and Earnings Mobility in U.S. Tax Data," Finance and Economics Discussion Series 2015-61, Board of Governors of the Federal Reserve System (U.S.).
    16. Dettling, Lisa J. & Hsu, Joanne W., 2018. "Returning to the nest: Debt and parental co-residence among young adults," Labour Economics, Elsevier, vol. 54(C), pages 225-236.
    17. Brittany Bond & J. David Brown & Adela Luque & Amy O’Hara, 2014. "The Nature of the Bias When Studying Only Linkable Person Records: Evidence from the American Community Survey," CARRA Working Papers 2014-08, Center for Economic Studies, U.S. Census Bureau.
    18. Congressional Budget Office, 2016. "The Distribution of Household Income and Federal Taxes, 2013," Reports 51361, Congressional Budget Office.
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    20. Raj Chetty & Nathaniel Hendren & Lawrence F. Katz, 2016. "The Effects of Exposure to Better Neighborhoods on Children: New Evidence from the Moving to Opportunity Experiment," American Economic Review, American Economic Association, vol. 106(4), pages 855-902, April.
    21. Jeff Larrimore & Richard V. Burkhauser & Gerald Auten & Philip Armour, 2016. "Recent Trends in U.S. Top Income Shares in Tax Record Data Using More Comprehensive Measures of Income Including Accrued Capital Gains," NBER Working Papers 23007, National Bureau of Economic Research, Inc.
    22. Andrea Brandolini & Anthony B. Atkinson, 2001. "Promise and Pitfalls in the Use of "Secondary" Data-Sets: Income Inequality in OECD Countries As a Case Study," Journal of Economic Literature, American Economic Association, vol. 39(3), pages 771-799, September.
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    25. Jesse Bricker & Alice Henriques & Jacob Krimmel & John Sabelhaus, 2016. "Estimating Top Income and Wealth Shares: Sensitivity to Data and Methods," American Economic Review, American Economic Association, vol. 106(5), pages 641-645, May.
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    Cited by:

    1. Jeff Larrimore & Jake Mortenson & David Splinter, 2020. "Presence and Persistence of Poverty in US Tax Data," NBER Chapters, in: Measuring Distribution and Mobility of Income and Wealth, pages 383-409, National Bureau of Economic Research, Inc.
    2. Samuel Dodini, 2023. "Insurance Subsidies, the Affordable Care Act, and Financial Stability," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(1), pages 97-136, January.
    3. Richard V. Burkhauser & Nicolas Hérault & Stephen P. Jenkins & Roger Wilkins, 2018. "Survey Under‐Coverage of Top Incomes and Estimation of Inequality: What is the Role of the UK's SPI Adjustment?," Fiscal Studies, John Wiley & Sons, vol. 39(2), pages 213-240, June.
    4. Richard V. Burkhauser & Nicolas Hérault & Stephen P. Jenkins & Roger Wilkins, 2017. "Survey Under-Coverage of Top Incomes and Estimation of Inequality: What Is the Role of the UK’s SPI Adjustment?," Melbourne Institute Working Paper Series wp2017n16, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    5. Jesse Bricker & Peter Hansen & Alice Henriques Volz, 2018. "How Much has Wealth Concentration Grown in the United States? A Re-Examination of Data from 2001-2013," Finance and Economics Discussion Series 2018-024, Board of Governors of the Federal Reserve System (U.S.).
    6. Gerald Auten & David Splinter, 2019. "Top 1 Percent Income Shares: Comparing Estimates Using Tax Data," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 307-311, May.
    7. David Splinter & Jeff Larrimore & Jacob Mortenson, 2017. "Whose Child Is This? Shifting of Dependents among EITC Claimants within the Same Household," National Tax Journal, National Tax Association;National Tax Journal, vol. 70(4), pages 737-758, December.
    8. Yonatan Berman, 2022. "Absolute intragenerational mobility in the United States, 1962–2014," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(3), pages 587-609, September.
    9. Bengtsson, Erik & Molinder, Jakob, 2022. "Incomes and Income Inequality in Stockholm, 1870–1970: Evidence from Micro Data," Lund Papers in Economic History 240, Lund University, Department of Economic History.
    10. Larrimore, Jeff & Mortenson, Jacob & Splinter, David, 2022. "Earnings shocks and stabilization during COVID-19," Journal of Public Economics, Elsevier, vol. 206(C).
    11. Jeff Larrimore & Jacob Mortenson & David Splinter, 2023. "Unemployment Insurance In Survey And Administrative Data," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(2), pages 571-579, March.
    12. Jenkins, Stephen P., 2022. "Getting the Measure of Inequality," IZA Discussion Papers 14996, Institute of Labor Economics (IZA).
    13. Adam Bee & Joshua Mitchell & Nikolas Mittag & Jonathan Rothbaum & Carl Sanders & Lawrence Schmidt & Matthew Unrath, 2023. "National Experimental Wellbeing Statistics - Version 1," Working Papers 23-04, Center for Economic Studies, U.S. Census Bureau.
    14. Jeff Larrimore & Richard V. Burkhauser & Gerald Auten & Philip Armour, 2016. "Recent Trends in U.S. Top Income Shares in Tax Record Data Using More Comprehensive Measures of Income Including Accrued Capital Gains," NBER Working Papers 23007, National Bureau of Economic Research, Inc.

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    More about this item

    Keywords

    EITC; Household Income; IRS Data; Income Inequality; Tax Unit Income;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies

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