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Marcio Laurini
 
''A note on the use of quantile regression in beta convergence analysis''
( 2007, Vol. 3 No.52 )
 
 
We discuss how to interpret conflicting results obtained by the use of quantile regression methods in growth regression tests of β-convergence hypothesis and the results obtained by nonparametric methods. We show that the assumption of linearity may cause the non-rejection of the β-convergence hypothesis by quantile regression. We also show that using a nonparametric form of quantile regression, we can reject the hypothesis of β-convergence and confirm the results of divergence and formation of convergence clubs. We illustrate the discussion by using the conflicting results on convergence found in the dataset of per-capita income of Brazilian municipalities between 1970 and 1996.
 
 
Keywords:
JEL: C5 - Econometric Modeling: General
 
Manuscript Received : Oct 03 2007 Manuscript Accepted : Oct 17 2007

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