IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/81633.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/81633/1/MPRA_paper_81633.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    4. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    5. 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.
    6. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Giuseppe Folloni & Giorgio Vittadini, 2010. "Human Capital Measurement: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 24(2), pages 248-279, April.
    19. 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.
    20. 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.
    21. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kosack, Stephen & Tobin, Jennifer L., 2015. "Which Countries’ Citizens Are Better Off With Trade?," World Development, Elsevier, vol. 76(C), pages 95-113.
    2. Wulong Gu & Ambrose Wong, 2015. "Productivity and economic output of the education sector," Journal of Productivity Analysis, Springer, vol. 43(2), pages 165-182, April.
    3. Fraumeni, Barbara M. & He, Junzi & Li, Haizheng & Liu, Qinyi, 2019. "Regional distribution and dynamics of human capital in China 1985–2014," Journal of Comparative Economics, Elsevier, vol. 47(4), pages 853-866.
    4. Bloom, David E. & Canning, David & Kotschy, Rainer & Prettner, Klaus & Schünemann, Johannes, 2024. "Health and economic growth: Reconciling the micro and macro evidence," World Development, Elsevier, vol. 178(C).
    5. Michael S. Christian, 2014. "Human Capital Accounting in the United States: Context, Measurement, and Application," NBER Chapters, in: Measuring Economic Sustainability and Progress, pages 461-491, National Bureau of Economic Research, Inc.
    6. Stimpfle, Alexander & Stadelmann, David, 2015. "The Impact of Fundamental Development Factors on Different Income Groups: International Evidence," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113128, Verein für Socialpolitik / German Economic Association.
    7. Yamarik Steven J, 2008. "Estimating Returns to Schooling from State-Level Data: A Macro-Mincerian Approach," The B.E. Journal of Macroeconomics, De Gruyter, vol. 8(1), pages 1-16, August.
    8. Kripfganz, Sebastian, 2014. "Unconditional Transformed Likelihood Estimation of Time-Space Dynamic Panel Data Models," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100604, Verein für Socialpolitik / German Economic Association.
    9. Sebastian Kripfganz & Claudia Schwarz, 2019. "Estimation of linear dynamic panel data models with time‐invariant regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 526-546, June.
    10. François Rycx & Yves Saks & Ilan Tojerow, 2015. "Does Education Raise Productivity and Wages Equally? The Moderating Roles of Age, Gender and Industry," Working Paper Research 281, National Bank of Belgium.
    11. Chu, Lan Khanh & Hoang, Dung Phuong, 2020. "How does economic complexity influence income inequality? New evidence from international data," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 44-57.
    12. Kyoung-Youn Na & Chirok Han & Chang-Ho Yoon, 2013. "Network effect of transportation infrastructure: a dynamic panel evidence," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 265-274, February.
    13. Gazi Hassan & Arusha Cooray & Mark Holmes, 2017. "The effect of female and male health on economic growth: cross-country evidence within a production function framework," Empirical Economics, Springer, vol. 52(2), pages 659-689, March.
    14. Schündeln, Matthias & Playforth, John, 2014. "Private versus social returns to human capital: Education and economic growth in India," European Economic Review, Elsevier, vol. 66(C), pages 266-283.
    15. Valentine Jacobs & Kevin Pineda-Hernández & François Rycx & Mélanie Volral, 2023. "Does over-education raise productivity and wages equally? The moderating role of workers’ origin and immigrants’ background," Education Economics, Taylor & Francis Journals, vol. 31(6), pages 698-724, November.
    16. Michael S. Christian, 2011. "Human Capital Accounting in the United States: Context, Measurement, and Application," BEA Working Papers 0073, Bureau of Economic Analysis.
    17. Joilson Dias & John McDermott, 2011. "Institutions, Humancapital And Economic Growth: A New Theoretical And Empirical Approach," Anais do XXXVII Encontro Nacional de Economia [Proceedings of the 37th Brazilian Economics Meeting] 83, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    18. Thais Andreia Araujo Souza & Marina Silva Cunha, 2018. "Performance of Brazilian total factor productivity from 2004 to 2014: a sectoral and regional analysis," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-18, December.
    19. Mauro, Luciano & Carmeci, Gaetano, 2003. "Long run growth and investment in education: Does unemployment matter?," Journal of Macroeconomics, Elsevier, vol. 25(1), pages 123-137, March.
    20. Franco, Chiara, 2013. "Exports and FDI motivations: Empirical evidence from U.S. foreign subsidiaries," International Business Review, Elsevier, vol. 22(1), pages 47-62.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:81633. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.