A note on the use of quantile regression in beta convergence analysis

Márcio Laurini

Economics Bulletin, 2007, vol. 3, issue 52, 1-8

Abstract: 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.

JEL-codes: C5 (search for similar items in EconPapers)
Date: 2007-10-17
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Citations: View citations in EconPapers (4)

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Working Paper: A note on the use of quantile regression in beta convergence analysis (2007)
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