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Inspecting the Poverty-Trap Mechanism: A Quantile Regression Approach
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Jens J. Krüger
Veröffentlicht/Copyright:
13. Mai 2009
The issue of poverty traps is assessed using quantile regression. 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 in the vicinity and below the lowest quintile of the growth rate distribution. The validity of the results is supported by a nonparametric variant of quantile regression.
Published Online: 2009-5-13
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Artikel in diesem Heft
- Article
- Asymmetry in Stochastic Volatility Models: Threshold or Correlation?
- Inspecting the Poverty-Trap Mechanism: A Quantile Regression Approach
- Mixed Exponential Power Asymmetric Conditional Heteroskedasticity
- Multivariate Extension of the Hodrick-Prescott Filter-Optimality and Characterization
- Modeling Jump and Continuous Components in the Volatility of Oil Futures
