The Role of Human Capital and Technological Interdependence in Growth and Convergence Processes: International Evidence
Abstract
This paper develops a bisectorial growth model with physical and human capital accumulation. Each sector is characterized by a different technology involving different human capital parameters. The model includes human capital externalities together with technological interdependence between economies. It leads to a spatial autoregressive reduced form for the real income per worker at steady state. The structural parameters of the model are recovered and evidence of the insignificance of human capital in explaining per capita growth, that is the human capital puzzle, is reconsidered. In fact, the parameter related to human capital in the consumption good sector is low which is consistent with evidence presented in the growth accounting framework. In contrast it is indeed higher in the education sector. Our model leads to spatial econometric specifications which are estimated on a sample of 89 countries over the period 1960-1995 using maximum likelihood as well as Bayesian estimation methods, which are robust versus outliers and heteroskedasticity. This model yields a spatially augmented convergence equation characterized by parameter heterogeneity. A locally linear spatial autoregressive specification is then estimated providing a different convergence speed estimate for each country of the sample.Download Info
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Paper provided by DEGIT, Dynamics, Economic Growth, and International Trade in its series DEGIT Conference Papers with number c011_029.Length: 60 pages
Date of creation: Jun 2006
Date of revision:
Handle: RePEc:deg:conpap:c011_029
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Keywords: Conditional convergence; technological interdependence; spatial autocorrelation; parameter heterogeneity; locally linear estimation;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
- O4 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-12-01 (All new papers)
- NEP-DEV-2006-12-01 (Development)
- NEP-HRM-2006-12-01 (Human Capital & Human Resource Management)
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- Manfred Fischer, 2011. "A spatial Mankiw–Romer–Weil model: theory and evidence," The Annals of Regional Science, Springer, vol. 47(2), pages 419-436, October.
- Olivier Parent, 2012. "A space-time analysis of knowledge production," Journal of Geographical Systems, Springer, vol. 14(1), pages 49-73, January.
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