PER CAPITA INCOME CONVERGENCE AMONG NORTHEASTERN CITIES: A ROBUST ANALYSIS

Authors

  • Cleiton Roberto da Fonseca Silva UFRN
  • Erik Alencar de Figueiredo Universidade Federal do Rio Grande do Norte

DOI:

https://doi.org/10.22456/2176-5456.6272

Keywords:

Brazilian northeast municipalities, Income convergence, Quantile regression, Quantile smoothing splines

Abstract

In this paper was evaluated several methods of inference about income convergence hypothesis exploring the database of Brazilian northeast municipalities through the 1970-1996. The results show that linear quantile regression does not capture the divergences between quantilic curves that characterize the formation of convergence clubs, although its use can solve many difficulties into least squares fitting. In this direction, this study applies nonparametric quantile regression know as quantile smoothing splines. We can conclude to that period that northeast municipalities are better characterized by clubs convergence formation.

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Author Biographies

Cleiton Roberto da Fonseca Silva, UFRN

Aluno do Curso de Graduação em Economia Universidade Federal do Rio Grande do Norte

Erik Alencar de Figueiredo, Universidade Federal do Rio Grande do Norte

Doutor em economia aplicada pela Universidade Federal do Rio Grande do Sul. Professor adjunto I do departamento de economia da UFRN.

Published

2010-09-24

How to Cite

Silva, C. R. da F., & Figueiredo, E. A. de. (2010). PER CAPITA INCOME CONVERGENCE AMONG NORTHEASTERN CITIES: A ROBUST ANALYSIS. Análise Econômica, 28(53). https://doi.org/10.22456/2176-5456.6272