Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/25682 
Year of Publication: 
2007
Series/Report no.: 
Jena Economic Research Papers No. 2007,106
Publisher: 
Friedrich Schiller University Jena and Max Planck Institute of Economics, Jena
Abstract: 
The issue of poverty traps is assessed using quantile regression. For that an augmentation of the usual convergence regressions by quadratic and cubic terms is used with emphasis on curve fitting rather than parameter estimation. The results show that the generic mechanism leading to poverty traps predominantly applies to countries with relatively low levels of income per capita or per worker that simultaneously have low growth rates around and below the lowest quintile of the growth rate distribution. The validity of the results is supported by a nonparametric variant of quantile regression.
Subjects: 
nonlinear growth
poverty traps
quantile regression
JEL: 
O1
O41
C14
C62
Document Type: 
Working Paper

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