Inspecting the Poverty-Trap Mechanism: A Quantile Regression Approach
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.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 13 (2009)
Issue (Month): 3 (May)
|Contact details of provider:|| Web page: http://www.degruyter.com|
|Order Information:||Web: http://www.degruyter.com/view/j/snde|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- James G. MacKinnon & Halbert White, 1983.
"Some Heteroskedasticity Consistent Covariance Matrix Estimators with Improved Finite Sample Properties,"
537, Queen's University, Department of Economics.
- MacKinnon, James G. & White, Halbert, 1985. "Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties," Journal of Econometrics, Elsevier, vol. 29(3), pages 305-325, September.
- Xavier Sala-i-Martin, 1995.
"The classical approach to convergence analysis,"
Economics Working Papers
117, Department of Economics and Business, Universitat Pompeu Fabra.
- Kalaitzidakis, P. & Mamuneas, T.P. & Savvides, A. & Stengos, T., 2000.
"Measures of Human Capital and Nonlinearities in Economic Growth,"
2000-5, University of Guelph, Department of Economics and Finance.
- Kalaitzidakis, Pantelis, et al, 2001. " Measures of Human Capital and Nonlinearities in Economic Growth," Journal of Economic Growth, Springer, vol. 6(3), pages 229-54, September.
- Galor, Oded, 2004.
"From Stagnation to Growth: Unified Growth Theory,"
CEPR Discussion Papers
4581, C.E.P.R. Discussion Papers.
- Fiaschi, Davide & Lavezzi, Andrea Mario, 2007.
"Nonlinear economic growth: Some theory and cross-country evidence,"
Journal of Development Economics,
Elsevier, vol. 84(1), pages 271-290, September.
- Davide Fiaschi & Andrea Mario Lavezzi, 2003. "Nonlinear Economic Growth: Some Theory and Cross-Country Evidence," Discussion Papers 2003/14, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
- Koenker,Roger, 2005.
Cambridge University Press, number 9780521608275, 1.
- Liu, Zhenjuan & Stengos, Thanasis, 1999. "Non-linearities in Cross-Country Growth Regressions: A Semiparametric Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 527-38, Sept.-Oct.
- Fiaschi, Davide & Lavezzi, Andrea Mario, 2003. " Distribution Dynamics and Nonlinear Growth," Journal of Economic Growth, Springer, vol. 8(4), pages 379-401, December.
- Pritchett, Lant, 2000. "Understanding Patterns of Economic Growth: Searching for Hills among Plateaus, Mountains, and Plains," World Bank Economic Review, World Bank Group, vol. 14(2), pages 221-50, May.
- Semmler, Willi & Ofori, Marvin, 2007. "On poverty traps, thresholds and take-offs," Structural Change and Economic Dynamics, Elsevier, vol. 18(1), pages 1-26, March.
- David N. Weil & Oded Galor, 2000. "Population, Technology, and Growth: From Malthusian Stagnation to the Demographic Transition and Beyond," American Economic Review, American Economic Association, vol. 90(4), pages 806-828, September.
- Quah, Danny, 1997. "Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," CEPR Discussion Papers 1586, C.E.P.R. Discussion Papers.
When requesting a correction, please mention this item's handle: RePEc:bpj:sndecm:v:13:y:2009:i:3:n:2. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Peter Golla)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.