IDEAS home Printed from https://ideas.repec.org/p/ecb/ecbsps/202037.html
   My bibliography  Save this paper

Understanding household wealth: linking macro and micro data to produce distributional financial accounts

Author

Listed:
  • Ahnert, Henning
  • Kavonius, Ilja Kristian
  • Honkkila, Juha
  • Sola, Pierre

Abstract

The Expert Group on Linking Macro and Micro Data for the household sector (EG-LMM) was established in December 2015 within the European System of Central Banks (ESCB) with the aim of comparing and bridging macro data (i.e. National Accounts/Financial Accounts) and micro data (i.e. the Household Finance and Consumption Survey) on wealth. Furthermore, the Expert Group also focused on developing distributional results for household macro balance sheets, starting with national data from the euro area Member States. The Expert Group assessed the extent to which these two sets of statistics could be compared and was able to link most balance sheet items. Since, following adjustments, the estimates yielded from the micro data were still lower than the macro data, an estimation method was developed to gross up the micro data to be in line with the macro data results. The methodology delivers estimates of the distribution of household wealth that are closely aligned with Financial Accounts aggregates, thereby offering valuable new information for the purposes of macroeconomic analyses based on such Financial Accounts. Further research is needed to examine the robustness of these results and to improve the estimation method taking into account country-specific features and information. The Expert Group has therefore recommended further work be undertaken with a view to compiling experimental distributional results by end-2022. JEL Classification: D31, G51

Suggested Citation

  • 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.
  • Handle: RePEc:ecb:ecbsps:202037
    Note: 493801
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu//pub/pdf/scpsps/ecb.sps37~433920127f.en.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gürer Eren & Weichenrieder Alfons, 2020. "Pro-rich inflation in Europe: Implications for the measurement of inequality," German Economic Review, De Gruyter, vol. 21(1), pages 107-138, April.
    2. Jean-Francois Beaumont & Cynthia Bocci, 2008. "Another look at ridge calibration," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 5-20.
    3. Andreasch Michael & Lindner Peter, 2016. "Micro- and Macrodata: a Comparison of the Household Finance and Consumption Survey with Financial Accounts in Austria," Journal of Official Statistics, Sciendo, vol. 32(1), pages 1-28, March.
    4. repec:mpr:mprres:4937 is not listed on IDEAS
    5. Philip Vermeulen, 2016. "Estimating the Top Tail of the Wealth Distribution," American Economic Review, American Economic Association, vol. 106(5), pages 646-650, May.
    6. Chakraborty Robin & Kavonius Ilja Kristian & Pérez-Duarte Sébastien & Vermeulen Philip, 2019. "Is the Top Tail of the Wealth Distribution the Missing Link between the Household Finance and Consumption Survey and National Accounts?," Journal of Official Statistics, Sciendo, vol. 35(1), pages 31-65, March.
    7. Thomas Blanchet & Juliette Fournier & Thomas Piketty, 2022. "Generalized Pareto Curves: Theory and Applications," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(1), pages 263-288, March.
    8. Francesco Andreoli & Eugenio Peluso, 2016. "So close yet so unequal: Reconsidering spatial inequality in U.S. cities," Working Papers 21/2016, University of Verona, Department of Economics.
    9. Stefan Angel & Richard Heuberger & Nadja Lamei, 2018. "Differences Between Household Income from Surveys and Registers and How These Affect the Poverty Headcount: Evidence from the Austrian SILC," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(2), pages 575-603, July.
    10. 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.
    11. 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.
    12. Giovanni D'Alessio & Andrea Neri, 2015. "Income and wealth sample estimates consistent with macro aggregates: some experiments," Questioni di Economia e Finanza (Occasional Papers) 272, Bank of Italy, Economic Research and International Relations Area.
    13. Kavonius, Ilja Kristian & Honkkila, Juha, 2013. "Micro and macro analysis on household income, wealth and saving in the euro area," Working Paper Series 1619, European Central Bank.
    14. Juha Honkkila & Ilja Kristian Kavonius, 2016. "Deriving household indebtedness indicators by linking micro and macro balance sheet data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Combining micro and macro data for financial stability analysis, volume 41, Bank for International Settlements.
    15. Mathias Moser & Matthias Schnetzer, 2017. "The income–inequality nexus in a developed country: small-scale regional evidence from Austria," Regional Studies, Taylor & Francis Journals, vol. 51(3), pages 454-466, March.
    16. 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.
    17. repec:mpr:mprres:4780 is not listed on IDEAS
    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. Yannic Rehm & Lucas Chancel, 2022. "Measuring the Carbon Content of Wealth Evidence from France and Germany," Working Papers halshs-03828939, HAL.
    2. Yannic Rehm & Lucas Chancel, 2022. "Measuring the Carbon Content of Wealth Evidence from France and Germany," PSE Working Papers halshs-03828939, HAL.
    3. Yannic Rehm & Lucas Chancel, 2022. "Measuring the Carbon Content of Wealth Evidence from France and Germany," World Inequality Lab Working Papers halshs-03828939, HAL.
    4. Carlo Campajola & Marco D'Errico & Claudio J. Tessone, 2022. "MicroVelocity: rethinking the Velocity of Money for digital currencies," Papers 2201.13416, arXiv.org, revised May 2023.

    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. 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.
    2. 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.
    3. 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.
    4. Sofie R. Waltl, 2022. "Wealth Inequality: A Hybrid Approach Toward Multidimensional Distributional National Accounts In Europe," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(1), pages 74-108, March.
    5. 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.
    6. Chakraborty Robin & Kavonius Ilja Kristian & Pérez-Duarte Sébastien & Vermeulen Philip, 2019. "Is the Top Tail of the Wealth Distribution the Missing Link between the Household Finance and Consumption Survey and National Accounts?," Journal of Official Statistics, Sciendo, vol. 35(1), pages 31-65, March.
    7. 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).
    8. 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.
    9. 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.
    10. Steiner, Viktor & Zhu, Junyi, 2021. "A joint top income and wealth distribution," Discussion Papers 2021/3, Free University Berlin, School of Business & Economics.
    11. Bertrand Garbinti & Jonathan Goupille-Lebret & Thomas Piketty, 2016. "Appendix to "Accounting for Wealth Inequality Dynamics: Methods, Estimates and Simulations for France (1800-2014)"," Working Papers halshs-02794354, HAL.
    12. Alexander Krenek & Margit Schratzenstaller & Klaus Grünberger & Andreas Thiemann, 2022. "INTAXMOD – Inheritance and Gift Taxation in the Context of Ageing," WIFO Working Papers 645, WIFO.
    13. 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.
    14. Kapeller, Jakob & Leitch, Stuart & Wildauer, Rafael, 2023. "Can a European wealth tax close the green investment gap?," Ecological Economics, Elsevier, vol. 209(C).
    15. Jaanika Meriküll & Tairi Rõõm, 2022. "Are survey data underestimating the inequality of wealth?," Empirical Economics, Springer, vol. 62(2), pages 339-374, February.
    16. Heck, Ines & Kapeller, Jakob & Wildauer, Rafael, 2020. "Vermögenskonzentration in Österreich: Ein Update auf Basis des HFCS 2017," Greenwich Papers in Political Economy 30683, University of Greenwich, Greenwich Political Economy Research Centre.
    17. Engel, Janina & Ohlwerter, Dennis & Scherer, Matthias, 2023. "On the estimation of distributional household wealth: addressing under-reporting via optimization problems with invariant Gini coefficient," Working Paper Series 2865, European Central Bank.
    18. Pirmin Fessler & Peter Lindner & Martin Schürz, 2016. "In focus: Eurosystem Household Finance and Consumption Survey 2014 – first results for Austria (second wave)," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 34-95.
    19. Ines Heck & Jakob Kapeller & Rafael Wildauer, 2020. "Vermögenskonzentration in Österreich," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 206, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    20. Benjamin Ferschli & Jakob Kapeller & Bernhard Schütz & Rafael Wildauer, 2017. "Bestände und Konzentration privater Vermögen in Österreich 2014/2015," Wirtschaft und Gesellschaft - WuG, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik, vol. 43(4), pages 499-533.

    More about this item

    Keywords

    and their distribution; household debt and wealth;

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • G51 - Financial Economics - - Household Finance - - - Household Savings, Borrowing, Debt, and Wealth

    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:ecb:ecbsps:202037. 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.