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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