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Drawing a Line: Comparing the Estimation of Top Incomes Between Tax Data and Household Survey Data

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  • Nishant Yonzan
  • Branko Milanovic
  • Salvatore Morelli
  • Janet Gornick

Abstract

The paper uses the flexibility of household survey data to align their income categories and recipient units with the income categories and units found in data produced by tax authorities. Our analyses, based on a standardized definition of fiscal income, allow us to locate, for top-income groups, the sources of discrepancy. We find, using the cases of the United States, Germany, and France, that the results from survey-based and tax data correspond extremely well (in terms of total income, mean income, composition of income, and income shares) above the 90th percentile and up to the top 1 percent of the distribution. Information about income composition, available in the US, allows us to investigate the determinants of this gap in the US. About three-fourths of the tax/survey gap is due to di˙erences in non-labor incomes, especially self-employment (business) income. The gap itself may be due to tax-induced re-classification of income from corporate to personal or/and to lower ability of surveys to capture top 1 percent incomes.

Suggested Citation

  • Nishant Yonzan & Branko Milanovic & Salvatore Morelli & Janet Gornick, 2021. "Drawing a Line: Comparing the Estimation of Top Incomes Between Tax Data and Household Survey Data," LIS Working papers 805, LIS Cross-National Data Center in Luxembourg.
    • Handle: RePEc:lis:liswps:805
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    1. Ignacio Flores, 2021. "The capital share and income inequality: Increasing gaps between micro and macro-data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(4), pages 685-706, December.
    2. Emmanuel Saez & Gabriel Zucman, 2020. "The Rise of Income and Wealth Inequality in America: Evidence from Distributional Macroeconomic Accounts," Journal of Economic Perspectives, American Economic Association, vol. 34(4), pages 3-26, Fall.
    3. Atkinson, A. B. & Piketty, Thomas (ed.), 2010. "Top Incomes: A Global Perspective," OUP Catalogue, Oxford University Press, number 9780199286898.
    4. 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.
    5. Facundo Alvaredo & Anthony Atkinson & Lucas Chancel & Thomas Piketty & Emmanuel Saez & Gabriel Zucman, 2016. "Distributional National Accounts (DINA) Guidelines : Concepts and Methods used in WID.world," Working Papers halshs-02794308, HAL.
    6. Anthony B. Atkinson & Thomas Piketty & Emmanuel Saez, 2011. "Top Incomes in the Long Run of History," Journal of Economic Literature, American Economic Association, vol. 49(1), pages 3-71, March.
    7. Wojciech Kopczuk & Eric Zwick, 2020. "Business Incomes at the Top," Journal of Economic Perspectives, American Economic Association, vol. 34(4), pages 27-51, Fall.
    8. Korinek, Anton & Mistiaen, Johan A. & Ravallion, Martin, 2007. "An econometric method of correcting for unit nonresponse bias in surveys," Journal of Econometrics, Elsevier, vol. 136(1), pages 213-235, January.
    9. Thomas Piketty & Emmanuel Saez & Gabriel Zucman, 2018. "Distributional National Accounts: Methods and Estimates for the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(2), pages 553-609.
    10. François Bourguignon, 2018. "Simple adjustments of observed distributions for missing income and missing people," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(2), pages 171-188, June.
    11. Facundo Alvaredo & Lucas Chancel & Thomas Piketty & Gabriel Zucman, 2018. "Distributional National Accounts," Post-Print halshs-03342488, HAL.
    12. Charlotte Bartels & Maria Metzing, 2019. "An integrated approach for a top-corrected income distribution," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 125-143, June.
    13. Bartels, Charlotte & Jenderny, Katharina, 2014. "The role of capital income for top incomes shares in Germany," Discussion Papers 2014/32, Free University Berlin, School of Business & Economics.
    14. Facundo Alvaredo & Thomas Piketty, 2015. "France Preliminary Estimates of Top Income Shares 2006-2012: Note on Methods," Technical Notes 201505, World Inequality Lab.
    15. 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.
    16. Emmanuel Saez, 2013. "Striking it Richer: The Evolution of Top Incomes in the United States (Updated with 2011 preliminary estimates)," Technical Notes 201301, World Inequality Lab.
    17. Emmanuel Saez, 2015. "Striking it Richer: The Evolution of Top Incomes in the United States (Updated with 2013 preliminary estimates)," Technical Notes 201501, World Inequality Lab.
    18. Richard V. Burkhauser & Shuaizhang Feng & Stephen P. Jenkins & Jeff Larrimore, 2012. "Recent Trends in Top Income Shares in the United States: Reconciling Estimates from March CPS and IRS Tax Return Data," The Review of Economics and Statistics, MIT Press, vol. 94(2), pages 371-388, May.
    19. Thomas Blanchet & Ignacio Flores & Marc Morgan, 2022. "The weight of the rich: improving surveys using tax data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 119-150, March.
    20. Vladimir Hlasny, 2020. "Nonresponse Bias in Inequality Measurement: Cross‐Country Analysis Using Luxembourg Income Study Surveys," Social Science Quarterly, Southwestern Social Science Association, vol. 101(2), pages 712-731, March.
    21. Bartels, Charlotte, 2019. "Top Incomes in Germany, 1871-2014," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 79(3), pages 669-707.
    22. Matthew Smith & Danny Yagan & Owen Zidar & Eric Zwick, 2019. "Capitalists in the Twenty-First Century," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 1675-1745.
    23. Anthony Atkinson & Thomas Piketty, 2010. "Top Incomes : A Global Perspective," PSE-Ecole d'économie de Paris (Postprint) halshs-00754875, HAL.
    24. Jesse Bricker & Alice Henriques & Jacob Krimmel & John Sabelhaus, 2016. "Measuring Income and Wealth at the Top Using Administrative and Survey Data," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(1 (Spring), pages 261-331.
    25. Vladimir Hlasny & Paolo Verme, 2018. "Top Incomes and Inequality Measurement: A Comparative Analysis of Correction Methods Using the EU SILC Data," Econometrics, MDPI, vol. 6(2), pages 1-21, June.
    26. Anton Korinek & Johan Mistiaen & Martin Ravallion, 2006. "Survey nonresponse and the distribution of income," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 4(1), pages 33-55, April.
    27. Emmanuel Saez, 2013. "Striking it Richer: The Evolution of Top Incomes in the United States (Updated with 2012 preliminary estimates)," Technical Notes 201303, World Inequality Lab.
    28. Anthony Atkinson & Thomas Piketty, 2007. "Top incomes over the twentieth century: A contrast between continental european and english-speaking countries," Post-Print halshs-00754859, HAL.
    29. Atkinson, A. B. & Piketty, Thomas (ed.), 2007. "Top Incomes Over the Twentieth Century: A Contrast Between Continental European and English-Speaking Countries," OUP Catalogue, Oxford University Press, number 9780199286881.
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    Cited by:

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    2. Assouad, Lydia, 2023. "Rethinking the Lebanese economic miracle: The extreme concentration of income and wealth in Lebanon, 2005–2014," Journal of Development Economics, Elsevier, vol. 161(C).
    3. Milanovic, Branko, 2024. "The three eras of global inequality, 1820–2020 with the focus on the past thirty years," World Development, Elsevier, vol. 177(C).
    4. Petar Peshev & Kristina Stefanova & Ivan Bozhikin & Radostina Stamenova & Ivanina Mancheva, 2022. "Is income inequality in Bulgaria underestimated in survey data?," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 301-326.

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    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution

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