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Income Convergence Clubs for Brazilian Municipalities: a Non-Parametric Analysis

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  • Márcio Laurini
  • Eduardo Andrade

Abstract

In this article we analyze the evolution of relative per capita income distribution of Brazilian municipalities over the period 1970-1996. Our analyses are based on nonparametric methodologies and do not assume probability distributions or functional forms for the data. We have carried out two convergence tests - a test for Sigma convergence based on the Bootstrap principle and a Beta convergence test using Smoothing Splines for the growth regressions. The results obtained demonstrate the need to model the dynamics of income for Brazilian municipalities as a process of convergence clubs, using the methodology of transition matrices and stochastic kernels. The results show the formation of two convergence clubs, a low income club formed by the municipalities of the North and Northeast regions, and another high income club formed by the municipalities of the Center-West, Southeast and South regions. The formation of convergence clubs is confirmed by a bootstrap test for multimodality

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Bibliographic Info

Paper provided by Econometric Society in its series Econometric Society 2004 Latin American Meetings with number 51.

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Date of creation: 11 Aug 2004
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Handle: RePEc:ecm:latm04:51

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Keywords: Convergence Clubs; Non-Parametric Methods; Distribution Dynamics;

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  6. Bulli, Sandra, 2001. "Distribution Dynamics and Cross-Country Convergence: A New Approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 48(2), pages 226-43, May.
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  14. Afonso Henriques Borges Ferreira, 1998. "Concentração regional e dispersão das rendas per capita estaduais: um comentário," Textos para Discussão Cedeplar-UFMG td121, Cedeplar, Universidade Federal de Minas Gerais.
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Cited by:
  1. Cravo, Túlio A., 2011. "Are small employers more cyclically sensitive? Evidence from Brazil," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 754-769.
  2. Thomas Gries & Manfred Kraft & Christina Pieck, 2011. "Interregional migration, self-selection and the returns to education in Brazil," The Annals of Regional Science, Springer, vol. 46(3), pages 707-732, June.
  3. Roberta Colavecchio & Declan Curran & Michael Funke, 2005. "Drifting Together or Falling Apart? The Empirics of Regional Economic Growth in Post-Unification Germany," Quantitative Macroeconomics Working Papers 20509, Hamburg University, Department of Economics.
  4. Túlio Cravo & Guilherme Resende, 2013. "Economic growth in Brazil: a spatial filtering approach," The Annals of Regional Science, Springer, vol. 50(2), pages 555-575, April.
  5. Laurini, Márcio P., 2007. "A note on the use of quantile regression in beta convergence analysis," Insper Working Papers wpe_95, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
  6. Guilherme Mendes Resende & Alexandre Xavier Ywata de Carvalho & Patrícia Alessandra Morita Sakowski, 2013. "Evaluating Multiple Spatial Dimensions of Economic Growth in Brazil Using Spatial Panel Data Models (1970 - 2000)," Discussion Papers 1830a, Instituto de Pesquisa Econômica Aplicada - IPEA.
  7. Guillermo E. Perry & Omar S. Arias & J. Humberto López & William F. Maloney & Luis Servén, 2006. "Poverty Reduction and Growth : Virtuous and Vicious Circles," World Bank Publications, The World Bank, number 6997, October.
  8. T√∫lio Cravo, 2011. "Regional Economic Growth and SMEs in Brazil: a Spatial Analysis (Submission for the Refereed Y-session Papers)," ERSA conference papers ersa10p508, European Regional Science Association.
  9. T√∫lio Cravo, 2011. "Are Small Firms more cyclically Sensitive than Large Ones? National, Regional and Sectoral Evidence from Brazil," ERSA conference papers ersa10p507, European Regional Science Association.
  10. T�lio A. Cravo, 2010. "SMEs and economic growth in the Brazilian micro-regions," Papers in Regional Science, Wiley Blackwell, vol. 89(4), pages 711-734, November.

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