Parametric variability in cross-country growth regressions: An application of quantile-regression methodology

Quantile-regression estimates of Solow-type growth models indicate [beta]-convergence rate in the bottom quartile to be much smaller than that for the top quartile. Some other coefficients also show sizable differences. The methodology appears useful for studying the important aspect of parametric differences across high-growth and low-growth countries.

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Year of publication:	2008
Authors:	Ram, Rati
Published in:	Economics Letters. - Elsevier, ISSN 0165-1765. - Vol. 99.2008, 2, p. 387-389
Publisher:	Elsevier

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005270271