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Towards a System of Distributional National Accounts: Methods and Global Inequality Estimates from WID.world
[Vers un système de comptes nationaux distributifs : méthodes et estimations des inégalités mondiales avec les données WID.world]

Author

Listed:
  • Facundo Alvaredo

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, WIL - World Inequality Lab)

  • Lucas Chancel

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, WIL - World Inequality Lab, IDDRI - Institut du Développement Durable et des Relations Internationales - Institut d'Études Politiques [IEP] - Paris)

  • Thomas Piketty

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, WIL - World Inequality Lab)

  • Emmanuel Saez

    (UC Berkeley - University of California [Berkeley] - UC - University of California, NBER - The National Bureau of Economic Research)

  • Gabriel Zucman

    (UC Berkeley - University of California [Berkeley] - UC - University of California)

Abstract

This paper briefly presents the methodology of Distributional National Accounts (DINA), which distributes total national income and total wealth among all individual residents. With DINA, we can estimate inequality statistics and growth by income and wealth groups that are consistent with aggregate growth from National Accounts. This methodology has been recently applied to a number of countries, and the data produced are available from WID.world. The paper summarizes the initial empirical findings. We observe rising top income and wealth shares in nearly all countries in recent decades, but the magnitude of the increase varies substantially, thereby suggesting that different country-specific institutions and policies matter. We combine countries' statistics to estimate global inequality since 1980. Global inequality has increased since 1980 in spite of the catching up of large emerging countries like China and India. This has been driven by the income growth of top world earners.

Suggested Citation

  • Facundo Alvaredo & Lucas Chancel & Thomas Piketty & Emmanuel Saez & Gabriel Zucman, 2020. "Towards a System of Distributional National Accounts: Methods and Global Inequality Estimates from WID.world [Vers un système de comptes nationaux distributifs : méthodes et estimations des inégali," Post-Print halshs-03229933, HAL.
  • Handle: RePEc:hal:journl:halshs-03229933
    DOI: 10.24187/ecostat.2020.517t.2018
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    Cited by:

    1. Brzezinski, Michal, 2021. "The impact of past pandemics on economic and gender inequalities," Economics & Human Biology, Elsevier, vol. 43(C).
    2. Dang, Dong Quang & Wu, Weiou & Korkos, Ioannis, 2024. "Stock market and inequality distributions – Evidence from the BRICS and G7 countries," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1172-1190.
    3. 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).
    4. Brzezinski, Michal, 2022. "Does income redistribution impede innovation?," Research Policy, Elsevier, vol. 51(10).
    5. van Tongeren, Jan W. & Bruil, Arjan, 2022. "Projections to 2025 of the household sector within the Dutch economy," The Journal of the Economics of Ageing, Elsevier, vol. 23(C).
    6. Lee, Jangyoun, 2021. "Behind rising inequality and falling growth," Journal of Macroeconomics, Elsevier, vol. 70(C).

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    Keywords

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    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution

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