Parameter Heterogeneity In The Neoclassical Growth Model: A Quantile Regression Approach
AbstractIn this study we examine the issue of parameter heterogeneity in the neoclassical growth model using a quantile regression estimator. Using cross-sectional data on 86 countries covering the period from 1960 to 2000, we estimate a version of the growth model of Mankiw, Romer and Weil (1992). We first estimate the model by OLS. We find that the model is quite successful in explaining the growth empirics of the ¡°average¡± country. We next estimate the model using quantile regression. The results of quantile regression are at odds with the OLS results. We find evidence of partial parameter heterogeneity. Countries whose growth rates are in the higher quantiles respond differently to investment in human and physical capital than do countries whose growth rates are in the lower quantiles. The neoclassical model predicts conditional convergence. The results from the quantile regression do not fully confirm this prediction. We find that convergence is not a generalized phenomenon across the conditional growth distribution, and, in particular, is not characteristic of countries in the lower quantiles. This suggests that an endogenous growth model, where government policies play a more decisive role in shaping the growth process, may be more suitable to describe growth in the lower tail of the distribution, whereas growth in the middle and higher quantiles is better described by the neoclassical model.
Download InfoIf 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.
Bibliographic InfoArticle provided by Chung-Ang Unviersity, Department of Economics in its journal Journal Of Economic Development.
Volume (Year): 29 (2004)
Issue (Month): 1 (June)
Growth Empirics; Quantile Regression; Design Matrix Bootstrap; Neoclassical Growth;
Find related papers by JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- O41 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
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.:
- Koenker, Roger, 2000. "Galton, Edgeworth, Frisch, and prospects for quantile regression in econometrics," Journal of Econometrics, Elsevier, vol. 95(2), pages 347-374, April.
- Bernard, A.B. & Durlauf, S.N., 1994.
"Interpreting Tests of the Convergence Hypothesis,"
9401r, Wisconsin Madison - Social Systems.
- Durlauf, Steven N. & Kourtellos, Andros & Minkin, Artur, 2001.
"The local Solow growth model,"
European Economic Review,
Elsevier, vol. 45(4-6), pages 928-940, May.
- Buchinsky, Moshe, 1995. "Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study," Journal of Econometrics, Elsevier, vol. 68(2), pages 303-338, August.
- Desdoigts, Alain, 1999. " Patterns of Economic Development and the Formation of Clubs," Journal of Economic Growth, Springer, vol. 4(3), pages 305-30, September.
- Jesus Crespo-Cuaresma & Neil Foster-McGregor & Robert Stehrer, 2009. "The Determinants of Regional Economic Growth by Quantile," wiiw Working Papers 54, The Vienna Institute for International Economic Studies, wiiw.
- Hineline, David R., 2008. "Parameter heterogeneity in growth regressions," Economics Letters, Elsevier, vol. 101(2), pages 126-129, November.
- Harry Haupt & Verena Meier, 2011. "Dealing with heterogeneity, nonlinearity and club misclassification in growth convergence: A nonparametric two-step approach," Working Papers 455, Bielefeld University, Center for Mathematical Economics.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Kyttack Hong).
If references are entirely missing, you can add them using this form.