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Capital humano e crescimento: impactos diretos e indiretos

Author

Listed:
  • Luciano Nakabashi

    (Cedeplar-UFMG)

  • Lízia de Figueiredo

    (Cedeplar-UFMG)

Abstract

The objective of this study is to evaluate the different channels in which human capital affects income level and growth and to use a proxy of human capital variable that incorporates quantitative and qualitative aspects of this factor. The human capital proxy that will be used is years of schooling (h) times HDI (Human Development Index) and h times HDI squared. HDI utilization is to measure countries degree of development. The assumption is that the more developed a country is, the better is its system of human capital formation. The empirical analysis is based in a model that incorporates several channels in which human capital affects the rate of income per worker growth: 1) improving the marginal productivity of labor; 2) through creation of technology; and 3) diffusion of technology. The consideration of several channels in which human capital affects income is due to the complexity of the relationship between these two variables. Therefore, if we consider only some channels we can incur in model specification errors.

Suggested Citation

  • Luciano Nakabashi & Lízia de Figueiredo, 2005. "Capital humano e crescimento: impactos diretos e indiretos," Textos para Discussão Cedeplar-UFMG td267, Cedeplar, Universidade Federal de Minas Gerais.
    • Handle: RePEc:cdp:texdis:td267
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    File URL: https://www.cedeplar.ufmg.br/pesquisas/td/TD%20267.pdf
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    Keywords

    human capital; income per worker; quality aspects of human capital; marginal productivity of labor; creation of technology; diffusion of technology;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • I2 - Health, Education, and Welfare - - Education
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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