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Os Programas de Transferência de Renda do Governo Impactam a Pobreza no Brasil?

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  • Marinho, Emerson
  • Linhares, Fabricio
  • Campelo, Guaracyane

Abstract

The widespread view that income transfers help to reduce the incidence of poverty has been asserted by many policymakers and citizens who support income transfer programs in Brazil. Nevertheless, a number of analysts contend that such programs are in fact ineffective in reducing poverty, because only a small share of the income that is transferred actually reaches the poor, or because such programs create a poverty trap. This article peruses this issue investigating the relationship between poverty and government income transfer in Brazil, over the period 2000-2008, controlling for other relevant variables that may affect poverty such as economic growth, inequality, education, unemployment and the number of female-headed families. Results from dynamic panel data models, proposed by Arellano e Bond (1991) and Blundell e Bond (1998), indicate that poverty is not affected by government income transfers, which support the critic view that income transfer programs in Brazil do not have the expect effect on poverty. Among other findings, education and inequality play an important role in the recent poverty dynamics in Brazil.

Suggested Citation

  • Marinho, Emerson & Linhares, Fabricio & Campelo, Guaracyane, 2011. "Os Programas de Transferência de Renda do Governo Impactam a Pobreza no Brasil?," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 65(3), September.
  • Handle: RePEc:fgv:epgrbe:v:65:y:2011:i:3:a:1411
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    1. Rafael Perez Ribas & Ana Flávia Machado & André Braz Golgher, 2006. "Fluctuations and persistence in poverty: a transient-chronic decomposition model for pseudo-panel data," Textos para Discussão Cedeplar-UFMG td290, Cedeplar, Universidade Federal de Minas Gerais.
    2. Helger Marra Lopes & Paulo Brígido Rocha Macedo & Ana Flávia Machado, 2003. "Indicador de pobreza: aplicação de uma abordagem multidimensional ao caso brasileiro," Textos para Discussão Cedeplar-UFMG td223, Cedeplar, Universidade Federal de Minas Gerais.
    3. Walter Enders & Gary Hoover, 2003. "The effect of robust growth on poverty: a nonlinear analysis," Applied Economics, Taylor & Francis Journals, vol. 35(9), pages 1063-1071.
    4. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    5. John P. Formby & Gary A. Hoover & Hoseong Kim, 2001. "Economic Growth and Poverty in the United States," Journal of Income Distribution, Ad libros publications inc., vol. 10(3-4), pages 1-1, September.
    6. Nanak Kakwani & Shahid Khandker & Hyun H. Son, 2004. "Pro-poor growth: concepts and measurement with country case studies," Working Papers 1, International Policy Centre for Inclusive Growth.
    7. Barros, Ricardo & Fox, Louise & Mendonca, Rosane, 1997. "Female-Headed Households, Poverty, and the Welfare of Children in Urban Brazil," Economic Development and Cultural Change, University of Chicago Press, vol. 45(2), pages 231-257, January.
    8. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    9. Ranis, Gustav & Stewart, Frances, 2002. "Crecimiento económico y desarrollo humano en América Latina," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    10. Fabio Veras Soares & Sergei Soares & Marcelo Medeiros & Rafael Guerreiro Osório, 2006. "Programas de Transferência de Renda no Brasil: impactos sobre a desigualdade," Discussion Papers 1228, Instituto de Pesquisa Econômica Aplicada - IPEA.
    11. Sonia Rocha, 2004. "Impacto Sobre A Pobreza Dos Novos Programas Federais De Transferência De Renda," Anais do XXXII Encontro Nacional de Economia [Proceedings of the 32nd Brazilian Economics Meeting] 137, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    12. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    13. Janice Peterson, 1987. "The Feminization of Poverty," Journal of Economic Issues, Taylor & Francis Journals, vol. 21(1), pages 329-337, March.
    14. Henrique Vinhais & André Portela Souza, 2006. "Pobreza Relativa Ou Absoluta? A Linha Híbrida De Pobreza No Brasil," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 140, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    15. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    16. Hirsch, Barry T, 1980. "Poverty and Economic Growth: Has Trickle Down Petered Out?," Economic Inquiry, Western Economic Association International, vol. 18(1), pages 151-158, January.
    17. Thornton, James R & Agnello, Richard J & Link, Charles R, 1978. "Poverty and Economic Growth: Trickle Down Peters Out," Economic Inquiry, Western Economic Association International, vol. 16(3), pages 385-394, July.
    18. COSTA Michele, 2002. "A multidimensional approach to the measurement of poverty," IRISS Working Paper Series 2002-05, IRISS at CEPS/INSTEAD.
    19. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    20. Joana Simões Costa & Luana Pinheiro & Marcelo Medeiros & Cristina Queiroz, 2005. "A Face Feminina da Pobreza: Sobre-Representação e Feminização da Pobreza no Brasil," Discussion Papers 1137, Instituto de Pesquisa Econômica Aplicada - IPEA.
    21. Nanak Kakwani & Marcelo Neri & Hyun H. Son, 2006. "Linkages between Pro-Poor Growth, Social Programmes and Labour Market: The Recent Brazilian Experience," Working Papers 26, International Policy Centre for Inclusive Growth.
    22. Ricardo Paes de Barros & Mirela de Carvalho & Samuel Franco & Rosane Mendonça, 2007. "Determinantes Imediatos da Queda da Desigualdade de Renda Brasileira," Discussion Papers 1253, Instituto de Pesquisa Econômica Aplicada - IPEA.
    23. Ravallion, Martin & Huppi, Monika, 1991. "Measuring Changes in Poverty: A Methodological Case Study of Indonesia during an Adjustment Period," The World Bank Economic Review, World Bank, vol. 5(1), pages 57-82, January.
    24. Buvinic, Mayra & Gupta, Geeta Rao, 1997. "Female-Headed Households and Female-Maintained Families: Are They Worth Targeting to Reduce Poverty in Developing Countries?," Economic Development and Cultural Change, University of Chicago Press, vol. 45(2), pages 259-280, January.
    25. repec:bla:revinw:v:39:y:1993:i:2:p:121-39 is not listed on IDEAS
    26. Emily M. Northrop, 1990. "The Feminization of Poverty: The Demographic Factor And The Composition of Economic Growth," Journal of Economic Issues, Taylor & Francis Journals, vol. 24(1), pages 145-160, March.
    27. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    28. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
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    2. repec:fgv:epgrbe:v:66:n:4:a:3 is not listed on IDEAS

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