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Extreme and Persistent Inequality: New Evidence for Brazil Combining National Accounts, Surveys and Fiscal Data, 2001-2015

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  • Marc Morgan

    (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 des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, WIL - World Inequality Lab)

Abstract

This paper reexamines the evolution of income inequality in Brazil over the last fifteen years using a novel combination of data sources. We measure distributional national accounts (DINA) to produce a new series of pretax national income inequality, com bining annual and nationally representative household survey data with detailed information on income tax declarations, in a consistent manner with macroeconomic totals. Our results provide a sharp upward revision of the official estimates of inequality in Brazil, while the falling inequality trends are less pronounced than previously measured. The concentration of income at the top is striking, with the Top 1% income share increasing to 28.3% by the end of the period, from an initial share of 26.2%. The Top 10% increased their share of income from 54.3% to 55.6% of pretax national income and captured 62.5% of total growth. The Bottom 50% share rose from 12.6% to 13.9%, experiencing higher growth than the top decile, but capturing only 20% of total growth due to its extremely low command of income. While elites and the poor made gains, the Middle 40% of the distribution decreased its share from 33.1% to 30.6%, posting less growth than the average for the whole economy. The "squeezed middle" is a product of its relatively low share of income and poor growth performance. Overall, inequality within the bottom 90% declined while concentration at the top grew, effects manifested in the slight downward trend of the corrected Gini coefficient. The former was driven by falling inequality in the distribution of labour income, which we document after combining surveys and fiscal data. While labour income inequality (and especially the formal earnings component) registered a clear decline according to our series –following the sharp rise in the real minimum wage, falling informality and fading out of the education premium – it was insufficient to mitigate the extreme inequality of capital resources and reverse the growing concentration of national income among elite groups.

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  • Marc Morgan, 2017. "Extreme and Persistent Inequality: New Evidence for Brazil Combining National Accounts, Surveys and Fiscal Data, 2001-2015," Working Papers halshs-02794605, HAL.
  • Handle: RePEc:hal:wpaper:halshs-02794605
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-02794605
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    1. Emmanuel Saez & Gabriel Zucman, 2014. "Wealth Inequality in the United States since 1913: Evidence from Capitalized Income Tax Data," NBER Working Papers 20625, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Thomas Blanchet & Lucas Chancel & Amory Gethin, 2019. "How Unequal is Europe? Evidence from Distributional National Accounts, 1980-2017," World Inequality Lab Working Papers hal-02877000, HAL.
    2. Lucas Chancel & Denis Cogneau & Amory Gethin & Alix Myczkowski, 2019. "How large are African inequalities? Towards Distributional National Accounts in Africa, 1990 - 2017," World Inequality Lab Working Papers hal-02876986, HAL.
    3. Jorge Atria & Ignacio Flores & Claudia Sanhueza & Ricardo Mayer, 2018. "Top Income in Chile: A Historical Perspective of Income Inequality (1964- 2015)," World Inequality Lab Working Papers hal-02878312, HAL.
    4. Lucas Chancel & Denis Cogneau & Amory Gethin & Alix Myczkowski, 2019. "How large are African inequalities? Towards Distributional National Accounts in Africa, 1990 - 2017," World Inequality Lab Working Papers hal-02876986, HAL.
    5. Jose De Gregorio & Manuel Taboada, 2022. "Median Labor Income in Chile Revised: Insights from Distributional National Accounts," Working Papers wp532, University of Chile, Department of Economics.
    6. Facundo Alvaredo & Lydia Assouad & Thomas Piketty, 2019. "Measuring lnequality in the Middle East 1990–2016: The World’s Most Unequal Region?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(4), pages 685-711, December.
    7. Piketty, Thomas & Bozio, Antoine & Garbinti, Bertrand & Goupille-Lebret, Jonathan & Guillot, Malka, 2020. "Predistribution vs. Redistribution: Evidence from France and the U.S," CEPR Discussion Papers 15415, C.E.P.R. Discussion Papers.
    8. Gabriel Burdín & Mauricio de Rosa & Andrea Vigorito & Joan Vilá, 2019. "Was falling inequality in all Latin American countries a data-driven illusion? Income distribution and mobility patterns in Uruguay 2009-2016," Documentos de Trabajo (working papers) 19-30, Instituto de Economía - IECON.
    9. François Bourguignon, 2018. "Simple adjustments of observed distributions for missing income and missing people," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(2), pages 171-188, June.
    10. 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.
    11. Lydia Assouad & Lucas Chancel & Marc Morgan, 2018. "Extreme Inequality: Evidence from Brazil, India, the Middle East, and South Africa," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 119-123, May.
    12. Thomas Blanchet & Ignacio Flores & Marc Morgan, 2022. "The weight of the rich: improving surveys using tax data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 119-150, March.
    13. Piketty, Thomas & Alvaredo, Facundo & Assouad, Lydia, 2017. "Measuring inequality in the Middle East 1990-2016: The World’s Most Unequal Region?," CEPR Discussion Papers 12405, C.E.P.R. Discussion Papers.
    14. Muhammed Abdul Khalid & Li Yang, 2019. "Income Inequality and Ethnic Cleavages in Malaysia: Evidence from Distributional National Accounts (1984-2014)," Working Papers hal-02876992, HAL.
    15. 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).
    16. Luiza Nassif Pires & Laura Carvalho & Eduardo Rawet, 2020. "Multidimensional Inequality and COVID-19 in Brazil," Economics Public Policy Brief Archive ppb_153, Levy Economics Institute.
    17. Martin Ravallion, 2022. "Missing Top Income Recipients," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 205-222, March.
    18. Muhammed Abdul Khalid & Li Yang, 2019. "Income Inequality and Ethnic Cleavages in Malaysia: Evidence from Distributional National Accounts (1984-2014)," World Inequality Lab Working Papers hal-02876992, HAL.
    19. Marc Morgan, 2018. "Income inequality, growth and elite taxation in Brazil: new evidence combining survey and fiscal data, 2001–2015," Working Papers 165, International Policy Centre for Inclusive Growth.
    20. Bull, Benedicte & Robles Rivera, Francisco, 2020. "COVID-19, elites and the future political economy of inequality reduction in Latin America," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    21. Marcelo Neri & Marcos Hecksher, 2018. "Top incomes’ impacts on inequality, growth, and social welfare: Combining surveys and income tax data in Brazil," WIDER Working Paper Series 137, World Institute for Development Economic Research (UNU-WIDER).
    22. Chancel, Lucas & Cogneau, Denis & Gethin, Amory & Myczkowski, Alix & Robilliard, Anne-Sophie, 2023. "Income inequality in Africa, 1990–2019: Measurement, patterns, determinants," World Development, Elsevier, vol. 163(C).
    23. Pawel Bukowski & Filip Novokmet, 2018. "Inequality in Poland: Estimating the whole distribution by g-percentile 1983-2015," LIS Working papers 731, LIS Cross-National Data Center in Luxembourg.
    24. Marcelo Neri & Marcos Hecksher, 2018. "Top incomes' impacts on inequality, growth, and social welfare: Combining surveys and income tax data in Brazil," WIDER Working Paper Series wp-2018-137, World Institute for Development Economic Research (UNU-WIDER).

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