IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/119980.html
   My bibliography  Save this paper

GEOWEALTH: spatial wealth inequality data for the United States, 1960-2020

Author

Listed:
  • Suss, Joel
  • Kemeny, Thomas
  • Connor, Dylan Shane

Abstract

Wealth inequality has been sharply rising in the United States and across many other high-income countries. Due to a lack of data, we know little about how this trend has unfolded across locations within countries. Investigating this subnational geography of wealth is crucial, as from one generation to the next, wealth powerfully shapes opportunity and disadvantage across individuals and communities. Using machine-learning-based imputation to link newly assembled national historical surveys conducted by the U.S. Federal Reserve to population survey microdata, the data presented in this paper addresses this gap. The Geographic Wealth Inequality Database (“GEOWEALTH”) provides the first estimates of the level and distribution of wealth at various geographical scales within the United States from 1960 to 2020. The GEOWEALTH database enables new lines of investigation into the contribution of spatial wealth disparities to major societal challenges including wealth concentration, spatial income inequality, social mobility, housing unaffordability, and political polarization. Edit 05/03/2024: Please consult the published version of this paper, at: https://doi.org/10.1038/s41597-024-03059-9

Suggested Citation

  • Suss, Joel & Kemeny, Thomas & Connor, Dylan Shane, 2023. "GEOWEALTH: spatial wealth inequality data for the United States, 1960-2020," LSE Research Online Documents on Economics 119980, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:119980
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/119980/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    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. Korom, Philipp, 2016. "Inherited advantage: The importance of inheritance for private wealth accumulation in Europe," MPIfG Discussion Paper 16/11, Max Planck Institute for the Study of Societies.
    2. Alvaredo, Facundo & Bourguignon, François & Ferreira, Francisco H. G. & Lustig, Nora, 2023. "Seventy-five Years of Measuring Income Inequality in Latin America," IDB Publications (Working Papers) 13157, Inter-American Development Bank.
    3. Andreas Fagereng & Luigi Guiso & Davide Malacrino & Luigi Pistaferri, 2020. "Heterogeneity and Persistence in Returns to Wealth," Econometrica, Econometric Society, vol. 88(1), pages 115-170, January.
    4. Zachary Van Winkle & Emanuela Struffolino, 2018. "When working isn’t enough: Family demographic processes and in-work poverty across the life course in the United States," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 39(12), pages 365-380.
    5. Simon Halphen Boserup & Wojciech Kopczuk & Claus Thustrup Kreiner, 2018. "Born with a Silver Spoon? Danish Evidence on Wealth Inequality in Childhood," Economic Journal, Royal Economic Society, vol. 128(612), pages 514-544, July.
    6. Thilo N H Albers & Charlotte Bartels & Moritz Schularick, 2022. "Wealth and its Distribution in Germany, 1895-2018," Working Papers halshs-03828863, HAL.
    7. Thomas Fischer, 2017. "Can Redistribution by Means of a Progressive Labor Income-Taxation Transfer System Increase Financial Stability?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(2), pages 1-3.
    8. Shenghao Zhu, 2019. "A Becker–Tomes model with investment risk," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 67(4), pages 951-981, June.
    9. Yannic Rehm & Lucas Chancel, 2022. "Measuring the Carbon Content of Wealth Evidence from France and Germany," PSE Working Papers halshs-03828939, HAL.
    10. Michael J. Kottelenberg & Steven F. Lehrer, 2019. "How Skills and Parental Valuation of Education Influence Human Capital Acquisition and Early Labor Market Return to Human Capital in Canada," Journal of Labor Economics, University of Chicago Press, vol. 37(S2), pages 735-778.
    11. Tobias Broer & Niels-Jakob Harbo Hansen & Per Krusell & Erik Öberg, 2020. "The New Keynesian Transmission Mechanism: A Heterogeneous-Agent Perspective," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(1), pages 77-101.
    12. Moore, Rachel & Pecoraro, Brandon, 2023. "Quantitative analysis of a wealth tax for the United States: Exclusions and expenditures," Journal of Macroeconomics, Elsevier, vol. 78(C).
    13. Yucheng Yang & Zhong Zheng & Weinan E, 2020. "Interpretable Neural Networks for Panel Data Analysis in Economics," Papers 2010.05311, arXiv.org, revised Nov 2020.
    14. Hasan, Iftekhar & Horvath, Roman & Mares, Jan, 2020. "Finance and wealth inequality," Journal of International Money and Finance, Elsevier, vol. 108(C).
    15. Demetris Koursaros & Nektarios Michail & Niki Papadopoulou & Christos Savva, 2018. "To Create or to Redistribute? That is the Question," Working Papers 2018-5, Central Bank of Cyprus.
    16. Elinder, Mikael & Erixson, Oscar & Waldenström, Daniel, 2018. "Inheritance and wealth inequality: Evidence from population registers," Journal of Public Economics, Elsevier, vol. 165(C), pages 17-30.
    17. Stéphane Auray & Aurélien Eyquem & Bertrand Garbinti & Jonathan Goupille-Lebret, 2022. "Markups, Taxes, And Rising Inequality," Working Papers halshs-03832267, HAL.
    18. Philippe De Donder & John E. Roemer, 2017. "The dynamics of capital accumulation in the US: simulations after piketty," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(2), pages 121-141, June.
    19. Enea Baselgia & Isabel Z. Martínez, 2024. "Using Rich Lists to Study the Super-Rich and Top Wealth Inequality: Insights from Switzerland," CESifo Working Paper Series 10993, CESifo.
    20. Matthew Smith & Owen Zidar & Eric Zwick, 2020. "Top Wealth in America: New Estimates and Implications for Taxing the Rich," Working Papers 264, Princeton University, Department of Economics, Center for Economic Policy Studies..

    More about this item

    JEL classification:

    • D60 - Microeconomics - - Welfare Economics - - - General

    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:ehl:lserod:119980. 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: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.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.