IDEAS home Printed from https://ideas.repec.org/p/lis/liswps/805.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.lisdatacenter.org/wps/liswps/805.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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," World Inequality Lab Working Papers halshs-02794308, HAL.
    3. 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.
    4. Facundo Alvaredo & Thomas Piketty, 2015. "France Preliminary Estimates of Top Income Shares 2006-2012: Note on Methods," Technical Notes 201505, World Inequality Lab.
    5. 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.
    6. Anthony Atkinson & Thomas Piketty, 2010. "Top Incomes : A Global Perspective," PSE-Ecole d'économie de Paris (Postprint) halshs-00754875, HAL.
    7. 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.
    8. Wojciech Kopczuk & Eric Zwick, 2020. "Business Incomes at the Top," Journal of Economic Perspectives, American Economic Association, vol. 34(4), pages 27-51, Fall.
    9. 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.
    10. 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.
    11. 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.
    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. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. Atkinson, A. B. & Piketty, Thomas (ed.), 2010. "Top Incomes: A Global Perspective," OUP Catalogue, Oxford University Press, number 9780199286898.
    26. 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.
    27. Facundo Alvaredo & Lucas Chancel & Thomas Piketty & Gabriel Zucman, 2018. "Distributional National Accounts," Post-Print halshs-03342488, HAL.
    28. 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.
    29. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bartels, Charlotte & Waldenström, Daniel, 2021. "Inequality and top incomes," GLO Discussion Paper Series 959, Global Labor Organization (GLO).
    2. Rafael Carranza & Marc Morgan & Brian Nolan, 2023. "Top Income Adjustments and Inequality: An Investigation of the EU‐SILC," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(3), pages 725-754, September.
    3. Nora Lustig, 2020. "The ``missing rich'' in household surveys: causes and correction approaches," Working Papers 520, ECINEQ, Society for the Study of Economic Inequality.
    4. Nora Lustig, 2019. "The “Missing Rich” in Household Surveys: Causes and Correction Approaches," Commitment to Equity (CEQ) Working Paper Series 75, Tulane University, Department of Economics.
    5. Pablo Gutiérrez Cubillos, 2022. "Gini and undercoverage at the upper tail: a simple approximation," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 29(2), pages 443-471, April.
    6. Frank Cowell & Emmanuel Flachaire, 2021. "Inequality Measurement: Methods and Data," Post-Print hal-03589066, HAL.
    7. Pawel Bukowski & Filip Novokmet, 2019. "Between Communism and Capitalism: Long-Term Inequality in Poland, 1892- 2015," World Inequality Lab Working Papers hal-02876995, HAL.
    8. Diego Winkelried & Bruno Escobar, 2022. "Declining inequality in Latin America? Robustness checks for Peru," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 223-243, March.
    9. Bukowski, Pawel & Novokmet, Filip, 2019. "Between communism and capitalism: long-term inequality in Poland, 1892-2015," LSE Research Online Documents on Economics 102834, London School of Economics and Political Science, LSE Library.
    10. Paweł Bukowski & Filip Novokmet, 2021. "Between communism and capitalism: long-term inequality in Poland, 1892–2015," Journal of Economic Growth, Springer, vol. 26(2), pages 187-239, June.
    11. Pawel Bukowski & Filip Novokmet, 2019. "Between Communism and Capitalism: Long-Term Inequality in Poland, 1892- 2015," Working Papers hal-02876995, HAL.
    12. Mathias Silva, 2023. "Parametric models of income distributions integrating misreporting and non-response mechanisms," AMSE Working Papers 2311, Aix-Marseille School of Economics, France.
    13. 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.
    14. Tahnee Christelle Ooms, 2021. "Correcting the Underestimation of Capital Incomes in Inequality Indicators: with an Application to the UK, 1997–2016," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(3), pages 929-953, October.
    15. Bukowski, Pawel & Novokmet, Filip, 2019. "Between communism and capitalism: long-term inequality in Poland, 1892-2015," LSE Research Online Documents on Economics 102814, London School of Economics and Political Science, LSE Library.
    16. Bukowski, Pawel & Novokmet, Filip, 2021. "Between communism and capitalism: long-term inequality in Poland, 1892–2015," LSE Research Online Documents on Economics 110221, London School of Economics and Political Science, LSE Library.
    17. Pawel Bukowski & Filip Novokmet, 2019. "Between communism and capitalism: long-term inequality in Poland, 1892-2015," CEP Discussion Papers dp1628, Centre for Economic Performance, LSE.
    18. Foellmi, Reto & Martínez, Isabel Z., 2014. "Volatile Top Income Shares in Switzerland? Reassessing the Evolution Between 1981 and 2009," CEPR Discussion Papers 10006, C.E.P.R. Discussion Papers.
    19. Carla Krolage & Andreas Peichl & Daniel Waldenström, 2022. "Long-run trends in top income shares: The role of income and population growth," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 97-118, March.
    20. Carla Krolage & Andreas Peichl & Daniel Waldenström, 2018. "Richer or more Numerous or both? The Role of Population and Economic Growth for Top Income Shares," CESifo Working Paper Series 7385, CESifo.

    More about this item

    JEL classification:

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:lis:liswps:805. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Piotr Paradowski (email available below). General contact details of provider: https://edirc.repec.org/data/lisprlu.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.