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Tax burden, government expenditures and income distribution in Brazil

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  • Baer, Werner
  • Galvão Jr., Antonio Fialho

Abstract

This article attempts to explain the seeming paradox of a country with a high tax burden and a continually concentrated distribution of income. By means of a structural quantile regression model we analyze the distributional impact of government expenditures on the Gini index, and it is shown that Brazil's redistribution expenditures has a relatively smaller impact for low quantiles of the conditional distribution of income inequality. It is also noted that both the country's tax and expenditure structure are, in part, responsible for the country's continuous concentration of income.

Suggested Citation

  • Baer, Werner & Galvão Jr., Antonio Fialho, 2008. "Tax burden, government expenditures and income distribution in Brazil," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(2), pages 345-358, May.
    • Handle: RePEc:eee:quaeco:v:48:y:2008:i:2:p:345-358
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    References listed on IDEAS

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    1. Amemiya, Takeshi, 1982. "Two Stage Least Absolute Deviations Estimators," Econometrica, Econometric Society, vol. 50(3), pages 689-711, May.
    2. Alberto Abadie & Joshua Angrist & Guido Imbens, 2002. "Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings," Econometrica, Econometric Society, vol. 70(1), pages 91-117, January.
    3. Ma, Lingjie & Koenker, Roger, 2006. "Quantile regression methods for recursive structural equation models," Journal of Econometrics, Elsevier, vol. 134(2), pages 471-506, October.
    4. Edmund Amann & Werner Baer, 2006. "Economic Orthodoxy Versus Social Development? The Dilemmas Facing Brazil's Labour Government," Oxford Development Studies, Taylor & Francis Journals, vol. 34(2), pages 219-241.
    5. Amnon Levy & João R. Faria (ed.), 2002. "Economic Growth, Inequality and Migration," Books, Edward Elgar Publishing, number 1647.
    6. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, September.
    7. Andrew Chesher, 2003. "Identification in Nonseparable Models," Econometrica, Econometric Society, vol. 71(5), pages 1405-1441, September.
    8. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    9. Mr. Benedict J. Clements, 1997. "Income Distribution and Social Expenditure in Brazil," IMF Working Papers 1997/120, International Monetary Fund.
    10. Hoffmann, Rodolfo, 2003. "Inequality in Brazil: The Contribution of Pensions," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 57(4), October.
    11. Luiz de Mello & Erwin R. Tiongson, 2006. "Income Inequality and Redistributive Government Spending," Public Finance Review, , vol. 34(3), pages 282-305, May.
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    Cited by:

    1. Jorge Martínez-Vázquez & Violeta Vulovic & Blanca Moreno Dodson, 2012. "The Impact of Tax and Expenditure Policies on Income Distribution: Evidence from a Large Panel of Countries," Hacienda Pública Española / Review of Public Economics, IEF, vol. 200(1), pages 95-130, March.
    2. Goñi, Edwin & Humberto López, J. & Servén, Luis, 2011. "Fiscal Redistribution and Income Inequality in Latin America," World Development, Elsevier, vol. 39(9), pages 1558-1569, September.
    3. Temel Gurdal & Mucahit Aydin & Veysel Inal, 2021. "The relationship between tax revenue, government expenditure, and economic growth in G7 countries: new evidence from time and frequency domain approaches," Economic Change and Restructuring, Springer, vol. 54(2), pages 305-337, May.
    4. Cut Risya Varlitya & Raja Masbar & Abd. Jamal & Muhammad Nasir, 2023. "Do Regional Macroeconomics Variables Influence the Income Inequality in Indonesia?," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 180-199.
    5. Higgins, Sean & Lustig, Nora, 2016. "Can a poverty-reducing and progressive tax and transfer system hurt the poor?," Journal of Development Economics, Elsevier, vol. 122(C), pages 63-75.
    6. Manuel A.R. da Fonseca, 2011. "Inflation and Stabilization in Brazil," Chapters, in: Werner Baer & David Fleischer (ed.), The Economies of Argentina and Brazil, chapter 20, Edward Elgar Publishing.
    7. Marina Malkina & Rodion Balakin, 2015. "Correlation Assessment of Tax System Risk and Profitability in the Russian Regions," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 241-255.
    8. Sean Higgins & Nora Lustig, 2015. "Can Poverty-Reducing and Progressive Tax and Transfer System Hurt the Poor?," Commitment to Equity (CEQ) Working Paper Series 1333, Tulane University, Department of Economics.
    9. Joanna Georgios Alexopoulos & Marcos Falcão Gonçalves & Mateus Carvalho Reis Neves, 2016. "Fiscal Policy And Growth In A Model With Adjustment Costs To Investment," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 042, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

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