IDEAS home Printed from https://ideas.repec.org/p/ecb/ecbwps/20182187.html
   My bibliography  Save this paper

Is the top tail of the wealth distribution the missing link between the Household Finance and Consumption Survey and national accounts?

Author

Listed:
  • Chakraborty, Robin
  • Kavonius, Ilja Kristian
  • Pérez-Duarte, Sébastien
  • Vermeulen, Philip

Abstract

The financial accounts of the household sector within the system of national accounts report the aggregate asset holdings and liabilities of all households within a country. In principle, when household wealth surveys are explicitly designed to be representative of all households, aggregating these micro data should correspond to the macro aggregates. In practice, however, differences are large. We first discuss conceptual and generic differences between those two sources of data. Thereafter we investigate missing top tail observation from wealth surveys as a source of discrepancy. By fitting a Pareto distribution to the upper tail, we provide an estimate of how much of the gap between the micro and macro data is caused by the underestimation of the top tail of the wealth distribution. Conceptual and generic differences as well as missing top tail observations explain part of the gap between financial accounts and survey aggregates. JEL Classification: C46, D31, E01

Suggested Citation

  • Chakraborty, Robin & Kavonius, Ilja Kristian & Pérez-Duarte, Sébastien & Vermeulen, Philip, 2018. "Is the top tail of the wealth distribution the missing link between the Household Finance and Consumption Survey and national accounts?," Working Paper Series 2187, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20182187
    Note: 374170
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecb.wp2187.en.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Eurosystem Household Finance and Consumption Network, 2013. "The Eurosystem Household Finance and Consumption Survey - Methodological report," Statistics Paper Series 1, European Central Bank.
    3. Olympia Bover, 2011. "The Spanish survey of household finances (eff): description and methods of the 2008 wave," Occasional Papers 1103, Banco de España.
    4. Stefan Bach & Andreas Thiemann & Aline Zucco, 2015. "The Top Tail of the Wealth Distribution in Germany, France, Spain, and Greece," Discussion Papers of DIW Berlin 1502, DIW Berlin, German Institute for Economic Research.
    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. Olympia Bover & Enrique Coronado & Pilar Velilla, 2014. "The Spanish survey of household finances (EFF): description and methods of the 2011 wave," Occasional Papers 1407, Banco de España.
    7. Facundo Alvaredo & Lucas Chancel & Thomas Piketty & Emmanuel Saez & Gabriel Zucman, 2017. "Global Inequality Dynamics: New Findings from WID.world," American Economic Review, American Economic Association, vol. 107(5), pages 404-409, May.
    8. Philip Vermeulen, 2016. "Estimating the Top Tail of the Wealth Distribution," American Economic Review, American Economic Association, vol. 106(5), pages 646-650, May.
    9. Arthur B. Kennickell & R. Louise Woodburn, 1999. "CONSISTENT WEIGHT DESIGN FOR THE 1989, 1992 AND 1995 SCFs, AND THE DISTRIBUTION OF WEALTH," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 45(2), pages 193-215, June.
    10. Bruno Tissot, 2016. "Closing information gaps at the global level - what micro data can bring," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Combining micro and macro data for financial stability analysis, volume 41, Bank for International Settlements.
    11. Philip Vermeulen, 2018. "How Fat is the Top Tail of the Wealth Distribution?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 357-387, June.
    12. Sofie R. Waltl & Robin Chakraborty, 2022. "Missing the wealthy in the HFCS: micro problems with macro implications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 169-203, March.
    13. 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.
    14. Lisa J. Dettling & Sebastian Devlin-Foltz & Jacob Krimmel & Sarah Pack & Jeffrey P. Thompson, 2015. "Comparing Micro and Macro Sources for Household Accounts in the United States: Evidence from the Survey of Consumer Finances," Finance and Economics Discussion Series 2015-86, Board of Governors of the Federal Reserve System (U.S.).
    15. Xavier Gabaix & Rustam Ibragimov, 2011. "Rank - 1 / 2: A Simple Way to Improve the OLS Estimation of Tail Exponents," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 24-39, January.
    16. Paul Eckerstorfer & Johannes Halak & Jakob Kapeller & Bernhard Schütz & Florian Springholz & Rafael Wildauer, 2016. "Correcting for the Missing Rich: An Application to Wealth Survey Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(4), pages 605-627, December.
    17. Dale W. Jorgenson & J. Steven Landefeld & Paul Schreyer, 2014. "Measuring Economic Sustainability and Progress," NBER Books, National Bureau of Economic Research, Inc, number jorg12-1, July.
    18. Emmanuel Saez & Gabriel Zucman, 2016. "Editor's Choice Wealth Inequality in the United States since 1913: Evidence from Capitalized Income Tax Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 519-578.
    19. Facundo Alvaredo & Lucas Chancel & Thomas Piketty & Gabriel Zucman, 2018. "Distributional National Accounts," Post-Print halshs-03342488, HAL.
    20. Arthur B kennickell, 2008. "The role of over-sampling of the wealthy in the survey of consumer finances," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 56th ISI Session, Lisbon, August 2007, volume 28, pages 403-408, Bank for International Settlements.
    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. Wildauer, Rafael & Heck, Ines & Kapeller, Jakob, 2023. "Was Pareto right? Is the distribution of wealth thick-tailed?," Greenwich Papers in Political Economy 38597, University of Greenwich, Greenwich Political Economy Research Centre.
    2. Ahnert, Henning & Kavonius, Ilja Kristian & Honkkila, Juha & Sola, Pierre, 2020. "Understanding household wealth: linking macro and micro data to produce distributional financial accounts," Statistics Paper Series 37, European Central Bank.
    3. Bach, Stefan & Thiemann, Andreas & Zucco, Aline, 2019. "Looking for the missing rich: tracing the top tail of the wealth distribution," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 26(6), pages 1234-1258.
    4. Apostel, Arthur & O'Neill, Daniel W., 2022. "A one-off wealth tax for Belgium: Revenue potential, distributional impact, and environmental effects," Ecological Economics, Elsevier, vol. 196(C).
    5. Krenek Alexander & Schratzenstaller Margit, 2022. "A Harmonized Net Wealth Tax in the European Union," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 242(5-6), pages 629-668, December.
    6. Sofie R. Waltl & Robin Chakraborty, 2022. "Missing the wealthy in the HFCS: micro problems with macro implications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 169-203, March.
    7. Alexander Krenek & Margit Schratzenstaller & Klaus Grünberger & Andreas Thiemann, 2022. "INTAXMOD – Inheritance and Gift Taxation in the Context of Ageing," WIFO Working Papers 645, WIFO.
    8. Michele Cantarella & Andrea Neri & Giovanna Ranalli, 2021. "Mind the wealth gap: a new allocation method to match micro and macro statistics on household wealth," Questioni di Economia e Finanza (Occasional Papers) 646, Bank of Italy, Economic Research and International Relations Area.
    9. Engel, Janina & Riera, Pau Gayà & Grilli, Joseph & Sola, Pierre, 2022. "Developing reconciled quarterly distributional national wealth – insight into inequality and wealth structures," Working Paper Series 2687, European Central Bank.

    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. Sofie R. Waltl & Robin Chakraborty, 2022. "Missing the wealthy in the HFCS: micro problems with macro implications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 169-203, March.
    2. Arthur B. Kennickell, 2019. "The tail that wags: differences in effective right tail coverage and estimates of wealth inequality," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(4), pages 443-459, December.
    3. Yannic Rehm & Lucas Chancel, 2022. "Measuring the Carbon Content of Wealth Evidence from France and Germany," PSE Working Papers halshs-03828939, HAL.
    4. Yannic Rehm & Lucas Chancel, 2022. "Measuring the Carbon Content of Wealth Evidence from France and Germany," World Inequality Lab Working Papers halshs-03828939, HAL.
    5. Gabriel Zucman, 2019. "Global Wealth Inequality," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 109-138, August.
    6. Yannic Rehm & Lucas Chancel, 2022. "Measuring the Carbon Content of Wealth Evidence from France and Germany," Working Papers halshs-03828939, HAL.
    7. Wildauer, Rafael & Heck, Ines & Kapeller, Jakob, 2023. "Was Pareto right? Is the distribution of wealth thick-tailed?," Greenwich Papers in Political Economy 38597, University of Greenwich, Greenwich Political Economy Research Centre.
    8. Wildauer, Rafael & Kapeller, Jakob, 2022. "Tracing the invisible rich: A new approach to modelling Pareto tails in survey data," Labour Economics, Elsevier, vol. 75(C).
    9. Bach, Stefan & Thiemann, Andreas & Zucco, Aline, 2019. "Looking for the missing rich: tracing the top tail of the wealth distribution," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 26(6), pages 1234-1258.
    10. Michele Cantarella & Andrea Neri & Maria Giovanna Ranalli, 2021. "Mind the wealth gap: a new allocation method to match micro and macro statistics for household wealth," Papers 2101.01085, arXiv.org, revised Jan 2021.
    11. Jaanika Meriküll & Tairi Rõõm, 2022. "Are survey data underestimating the inequality of wealth?," Empirical Economics, Springer, vol. 62(2), pages 339-374, February.
    12. 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.).
    13. Rafael Wildauer & Jakob Kapeller, 2019. "Rank correction: a new approach to differential nonresponse in wealth survey data," Working Papers PKWP1921, Post Keynesian Economics Society (PKES).
    14. Bricker, Jesse & Hansen, Peter & Volz, Alice Henriques, 2019. "Wealth concentration in the U.S. after augmenting the upper tail of the survey of consumer finances," Economics Letters, Elsevier, vol. 184(C).
    15. Benjamin Ching & Tayla Forward & Oscar Parkyn, 2023. "Estimating the Distribution of Wealth in New Zealand," Treasury Working Paper Series 23/01, New Zealand Treasury.
    16. 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.
    17. Jakob Kapeller & Rafael Wildauer, 2019. "Rank Correction: A New Approach to Differential Non-Response in Wealth Survey Data," ICAE Working Papers 101, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    18. Steiner, Viktor & Zhu, Junyi, 2021. "A joint top income and wealth distribution," Discussion Papers 2021/3, Free University Berlin, School of Business & Economics.
    19. David Gallusser & Matthias Krapf, 2022. "Joint Income-Wealth Inequality: Evidence from Lucerne Tax Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(1), pages 251-295, August.
    20. Jesse Bricker & Sarena Goodman & Alice Henriques Volz & Kevin B. Moore, 2021. "A Wealth of Information: Augmenting the Survey of Consumer Finances to Characterize the Full U.S. Wealth Distribution," Finance and Economics Discussion Series 2021-053, Board of Governors of the Federal Reserve System (U.S.).

    More about this item

    Keywords

    financial accounts; HFCS; households; Pareto distribution; wealth inequality;
    All these keywords.

    JEL classification:

    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts

    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:ecb:ecbwps:20182187. 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: Official Publications (email available below). General contact details of provider: https://edirc.repec.org/data/emieude.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.