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Human Capital Quality in the Brazilian States

Author

Listed:
  • Luciano Nakabashi

    (Universidade Federal de Minas Gerais)

  • Márcio A. Salvato

    (Fundação Getúlio Vargas (RJ)and Pontificia Católica(RJ))

Abstract

Quality of human capital seems to be an extremely important feature to be disregarded in the evaluation of this factor impacts on income per worker (rate of growth and level). This is the reason for the emergence of many recent studies which includes some variable that takes into account the quality of human capital. The present study’s goal is to make an empirical analysis by using a human capital proxy that takes into account quantitative and qualitative aspects of this factor to measure with a higher level of accuracy the human capital direct impacts on Brazilian States output level in the years 1970, 1980, 1991, and 2000. The methods employed are Ordinary Least Squares (OLS), Iteratively Reweighted Least Squares (IRLS) and Panel Data regressions.

Suggested Citation

  • Luciano Nakabashi & Márcio A. Salvato, 2007. "Human Capital Quality in the Brazilian States," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 8(2), pages 211-222.
    • Handle: RePEc:anp:econom:v:8:y:2007:i:2:p:211-222
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    Citations

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    Cited by:

    1. Marie Daumal & Selin Ozyurt, 2010. "The Impact of International Trade Flows on the Growth of Brazilian States," Working Papers DT/2010/01, DIAL (Développement, Institutions et Mondialisation).
    2. Juliana Kikuchi Van Zaist & Luciano Nakabashi & Márcio A. Salvato, 2009. "Retornos privados de educação individual no Paraná," Working Papers 0097, Universidade Federal do Paraná, Department of Economics.
    3. Túlio A. Cravo, 2010. "SMEs and economic growth in the Brazilian micro‐regions," Papers in Regional Science, Wiley Blackwell, vol. 89(4), pages 711-734, November.
    4. Tulio Antonio Cravo & Elias Soukiazis, 2009. "Educational Thresholds and Economic Growth: Empirical Evidence from Brazilian States," Working Papers 2009.1, International Network for Economic Research - INFER.
    5. Juliana K. Van Zaist & Luciano Nakabashi & Márcio A. Salvato, 2008. "Retorno em Escolaridade no Paraná," Working Papers 0072, Universidade Federal do Paraná, Department of Economics.
    6. Ricardo Correa Cangussu & Marcio Antonio Salvato & Luciano Nakabashi, 2008. "An analysis of human capital on the Brazilian States income level: MRW versus Mincer," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807211041150, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    7. Ricardo Carvalho De Andrade Lima & Raul Da Mota Silveira Neto, 2016. "Physical and Human Capital and Brazilian Regional Growth: A Spatial Econometric Approach for the Period 1970–2010," Regional Studies, Taylor & Francis Journals, vol. 50(10), pages 1688-1701, October.
    8. repec:dau:papers:123456789/4297 is not listed on IDEAS
    9. Daniela Schettini & Carlos Roberto Azzoni, 2018. "Eficiência produtiva e o futuro das disparidades regionais no Brasil [Productive efficiency and the future of regional disparities in Brazil]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 28(2), pages 347-384, May-Augus.
    10. Túlio Cravo & Adrian Gourlay & Bettina Becker, 2012. "SMEs and regional economic growth in Brazil," Small Business Economics, Springer, vol. 38(2), pages 217-230, February.
    11. Túlio Cravo, 2011. "Regional Economic Growth and SMEs in Brazil: a Spatial Analysis (Submission for the Refereed Y-session Papers)," ERSA conference papers ersa10p508, European Regional Science Association.
    12. Ricardo Corrêa Cangussu & Márcio A. Salvato & Luciano Nakabashi, 2008. "Uma análise do capital humano sobre o nível de renda dos estados brasileiros: MRW versus Mincer," Working Papers 0073, Universidade Federal do Paraná, Department of Economics.

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    Keywords

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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • O50 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - General

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