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Analysis of human capital by means of a prospective method: A study for Latin America

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  • Laverde, Henry

Abstract

This paper aims to evaluate education as a component of human capital in comparison to other types of investments that relate to the formation of this stock. First, in this study we use a nonparametric method, known as prospective, to estimate the value of human capital for a sample of ten Latin American countries from a returns perspective. Then, by means of partial decompositions the contribution made by education in the volumes of human capital is examined. Finally, a panel data model is used for evaluating the effect of education compared to other variables not explicitly included in the prospective model. The results indicate that the positive effects of education tend to be exhausted in the long run. Also, the impact of education on human capital decreases and is of a lesser quantity when compared to other forms of investment, particularly those related to health and the resources set aside for households.

Suggested Citation

  • Laverde, Henry, 2015. "Analysis of human capital by means of a prospective method: A study for Latin America," MPRA Paper 81633, University Library of Munich, Germany, revised Jul 2017.
  • Handle: RePEc:pra:mprapa:81633
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    1. Mark R. Rosenzweig & Junsen Zhang, 2009. "Do Population Control Policies Induce More Human Capital Investment? Twins, Birth Weight and China's "One-Child" Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(3), pages 1149-1174.
    2. Lucas, Robert E, Jr, 1990. "Why Doesn't Capital Flow from Rich to Poor Countries?," American Economic Review, American Economic Association, vol. 80(2), pages 92-96, May.
    3. Tugrul Temel, 2013. "Family Size, Human Capital And Growth: Structural Path Analysis Of Rwanda," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 38(4), pages 39-73, December.
    4. Gang Liu, 2011. "Measuring the Stock of Human Capital for Comparative Analysis: An Application of the Lifetime Income Approach to Selected Countries," OECD Statistics Working Papers 2011/6, OECD Publishing.
    5. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    6. Doyle, Orla & Harmon, Colm P. & Heckman, James J. & Tremblay, Richard E., 2009. "Investing in early human development: Timing and economic efficiency," Economics & Human Biology, Elsevier, vol. 7(1), pages 1-6, March.
    7. Trinh Le & John Gibson & Les Oxley, 2003. "Cost‐ and Income‐based Measures of Human Capital," Journal of Economic Surveys, Wiley Blackwell, vol. 17(3), pages 271-307, July.
    8. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    9. Leonardo Gasparini & Federico Gutiérrez & Leopoldo Tornarolli, 2007. "Growth And Income Poverty In Latin America And The Caribbean: Evidence From Household Surveys," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 53(2), pages 209-245, June.
    10. Barro, Robert J. & Lee, Jong Wha, 2013. "A new data set of educational attainment in the world, 1950–2010," Journal of Development Economics, Elsevier, vol. 104(C), pages 184-198.
    11. Sofia Ahlroth & Anders Björklund & Anders Forslund, 1997. "The Output Of The Swedish Education Sector," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 43(1), pages 89-104, March.
    12. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    13. Giuseppe Folloni & Giorgio Vittadini, 2010. "Human Capital Measurement: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 24(2), pages 248-279, April.
    14. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    15. Rosenzweig, Mark R, 1986. "Birth Spacing and Sibling Inequality: Asymmetric Information within the Family," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 27(1), pages 55-76, February.
    16. Marta Guerriero, 2019. "The Labor Share of Income Around the World: Evidence from a Panel Dataset," ADB Institute Series on Development Economics, in: Gary Fields & Saumik Paul (ed.), Labor Income Share in Asia, chapter 0, pages 39-79, Springer.
    17. Gu, Wulong Wong, Ambrose, 2010. "Estimates of Human Capital in Canada: The Lifetime Income Approach," Economic Analysis (EA) Research Paper Series 2010062e, Statistics Canada, Analytical Studies Branch.
    18. Richard Jones & Blessing Chiripanhura, 2010. "Measuring the UK's human capital stock," Economic & Labour Market Review, Palgrave Macmillan;Office for National Statistics, vol. 4(11), pages 36-63, November.
    19. Dale W. Jorgenson & Barbara M. Fraumeni, 1992. "The Output of the Education Sector," NBER Chapters, in: Output Measurement in the Service Sectors, pages 303-341, National Bureau of Economic Research, Inc.
    20. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    21. Astrid Oline Ervik & Erling Holmøy & Torbjørn Hægeland, 2003. "A Theory-Based Measure of the Output of the Education Sector," Discussion Papers 353, Statistics Norway, Research Department.
    22. Michael S. Christian, 2011. "Human Capital Accounting in the United States: Context, Measurement, and Application," BEA Working Papers 0073, Bureau of Economic Analysis.
    23. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    24. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    More about this item

    Keywords

    Education; Human Capital; prospective Method; Latin-American; OLS;
    All these keywords.

    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • I0 - Health, Education, and Welfare - - General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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