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Una nueva medida de capital humano como determinante del crecimiento económico. Un caso empírico por medio de la metodología de componentes principales

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  • Henry Laverde Rojas, Diego Andrés Guevara Fletcher

Abstract

El presente documento evalúa una medida alternativa de capital humano en modelos de crecimiento económico dados los inconvenientes presentados en las estimaciones por mínimos cuadrados ordinarios. Este procedimiento se realiza mediante el método de análisis de componentes principales, el cual incorpora varios elementos relacionados con el capital humano –una de las variables fundamentales para el crecimiento económico según la teoría económica– y, de esta manera, superar varios problemas presentes en las variables educativas utilizadas tradicionalmente para medir este stock, haciéndola mucho más acertada desde una perspectiva conceptual. La medida es evaluada y contrastada en regresiones tradicionales de sección cruzada para 91 países en el periodo 1970-2011. Los resultados avalan las bondades de la variable, particularmente cuando se controla por países de África subsahariana

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  • Henry Laverde Rojas, Diego Andrés Guevara Fletcher, 2015. "Una nueva medida de capital humano como determinante del crecimiento económico. Un caso empírico por medio de la metodología de componentes principales," Revista CIFE, Universidad Santo Tomás, February.
    • Handle: RePEc:col:000195:015169
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    References listed on IDEAS

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    1. Durlauf, Steven N. & Johnson, Paul A. & Temple, Jonathan R.W., 2005. "Growth Econometrics," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.),Handbook of Economic Growth, edition 1, volume 1, chapter 8, pages 555-677, Elsevier.
    2. Glewwe, Paul & Maïga, Eugénie & Zheng, Haochi, 2014. "The Contribution of Education to Economic Growth: A Review of the Evidence, with Special Attention and an Application to Sub-Saharan Africa," World Development, Elsevier, vol. 59(C), pages 379-393.
    3. Winford H. Masanjala & Chris Papageorgiou, 2008. "Rough and lonely road to prosperity: a reexamination of the sources of growth in Africa using Bayesian model averaging," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(5), pages 671-682.
    4. Jonathan Temple, 2005. "Dual Economy Models: A Primer For Growth Economists," Manchester School, University of Manchester, vol. 73(4), pages 435-478, July.
    5. Mincer, Jacob, 1984. "Human capital and economic growth," Economics of Education Review, Elsevier, vol. 3(3), pages 195-205, June.
    6. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 407-437.
    7. Levine, Ross & Renelt, David, 1992. "A Sensitivity Analysis of Cross-Country Growth Regressions," American Economic Review, American Economic Association, vol. 82(4), pages 942-963, September.
    8. Jonathan R. W. Temple, 2005. "Growth and Wage Inequality in a Dual Economy," Bulletin of Economic Research, Wiley Blackwell, vol. 57(2), pages 145-169, April.
    9. Philippe Aghion & Steven Durlauf (ed.), 2005. "Handbook of Economic Growth," Handbook of Economic Growth, Elsevier, edition 1, volume 1, number 1.
    10. Jerik Hanushek & Dennis Kimko, 2006. "Schooling, Labor-force Quality, and the Growth of Nations," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 154-193.
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    More about this item

    Keywords

    capital humano; crecimiento económico; análisis de componentes principales;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies

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