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Convergence, Human Capital and International Spillovers

Author

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  • ERTUR, Cem

    (LEG - CNRS UMR 5118 - Université de Bourgogne)

  • KOCH, Wilfried

    (LEG - CNRS UMR 5118 - Université de Bourgogne)

Abstract

This paper develops a growth model with physical and human capital externalities to- gether with technological interdependence between economies. It leads to a spatial autore- gressive reduced form for the convergence equation characterized by parameter heterogeneity. A locally linear spatial autoregressive speci¯cation is then estimated providing a di(r)erent convergence speed estimate for each country in a sample of 89 countries over the period 1960-1995. Finally, counterfactual density estimates show that our model better ¯ts the observed income distribution than the well known augmented neoclassical growth model.

Suggested Citation

  • ERTUR, Cem & KOCH, Wilfried, 2006. "Convergence, Human Capital and International Spillovers," LEG - Document de travail - Economie 2006-03, LEG, Laboratoire d'Economie et de Gestion, CNRS, Université de Bourgogne.
  • Handle: RePEc:lat:legeco:2006-03
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    Cited by:

    1. Valerien O. Pede & Raymond J. G. M. Florax & Henri L. F. De Groot, 2007. "Technological Leadership, Human Capital and Economic Growth: a Spatial Econometric Analysis for US Counties, 1969-2003," Annals of Economics and Statistics, GENES, issue 87-88, pages 103-124.
    2. Valerien O. Pede, 2013. "Diversity And Regional Economic Growth: Evidence From Us Counties," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 38(3), pages 111-127, September.
    3. Deeken, Tim, 2015. "Knowledge spillovers: On the impact of genetic distance and data revisions," Working Paper Series in Economics 74, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    4. Manfred Fischer, 2011. "A spatial Mankiw–Romer–Weil model: theory and evidence," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(2), pages 419-436, October.
    5. repec:elg:eechap:14395_21 is not listed on IDEAS
    6. Wilfried Koch, 2008. "Development Accounting with Spatial Effects," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(3), pages 321-342.
    7. Ahmad, Mahyudin & Hall, Stephen G., 2012. "Institutions and growth: Testing the spatial effect using weight matrix based on the institutional distance concept," MPRA Paper 42294, University Library of Munich, Germany.
    8. Cem Ertur & Julie Le Gallo, 2008. "Regional Growth and Convergence: Heterogenous reaction versus interaction in spatial econometric approaches," Working Papers hal-00463274, HAL.
    9. Cem Ertur & Wilfried Koch, 2007. "Growth, technological interdependence and spatial externalities: theory and evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1033-1062.
    10. Lucía Bolea & Rosa Duarte & Geoffrey J. D. Hewings & Sofía Jiménez & Julio Sánchez‐Chóliz, 2022. "The role of regions in global value chains: an analysis for the European Union," Papers in Regional Science, Wiley Blackwell, vol. 101(4), pages 771-794, August.
    11. Nikos Benos & Nikolaos Mylonidis & Stefania Zotou, 2017. "Estimating production functions for the US states: the role of public and human capital," Empirical Economics, Springer, vol. 52(2), pages 691-721, March.
    12. Valdez , Rolando I., 2019. "Spatial diffusion of economic growth and externalities in Mexico," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 45, pages 139-160.

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    More about this item

    Keywords

    Conditional convergence ; spatial externalities ; spatial autocorrelation ; bayesian estimation ; parameter heterogeneity ; locally linear estimation;
    All these keywords.

    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, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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