Towards a System of Distributional National Accounts: Methods and Global Inequality Estimates from WID.world

Facundo Alvaredo (), Lucas Chancel, Thomas Piketty, Emmanuel Saez and Gabriel Zucman

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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.

Keywords: Inequality; Distribution; Income; Wealth; National accounts (search for similar items in EconPapers)
Date: 2020-10
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Citations: View citations in EconPapers (6)

Published in Economie et Statistique / Economics and Statistics, 2020, 517-518-519, pp.41-59. ⟨10.24187/ecostat.2020.517t.2018⟩

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Journal Article: Towards a System of Distributional National Accounts: Methods and Global Inequality Estimates from WID.world (2020)
Working Paper: Towards a System of Distributional National Accounts: Methods and Global Inequality Estimates from WID.world (2020)
Working Paper: Towards a System of Distributional National Accounts: Methods and Global Inequality Estimates from WID.world (2020)
Working Paper: Towards a System of Distributional National Accounts: Methods and Global Inequality Estimates from WID.world (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-02973609

DOI: 10.24187/ecostat.2020.517t.2018

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