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Human Capital Investment, Credentialing, and Wage Differentials

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  • Masashi Tanaka

    (Graduate School of Economics, Osaka University)

Abstract

This study considers how individuals determine the ratio of two kinds of educational investment. One kind contributes to labor skills and the other does not. We refer to the former as human capital investment and the latter as unproductive investment which improves test scores, but has no beneficial effect on students f human capital. We formulate an overlapping generations economy in which the rich and poor invest in both types of education. We argue that the ratio of human capital investment to unproductive investment is a U-shaped function of the wage differentials between the rich and poor. Moreover, we identify three patterns of stable steady states for these wage differentials, namely, no-inequality, high-inequality, and multiple steady states. Using these results, we conclude that a rapid increase in the level of skill-biased technology may switch the steady state from no inequality to high inequality. Further, it causes a temporary or permanent increase in the ratio of unproductive investment during the transition to the new steady state.

Suggested Citation

  • Masashi Tanaka, 2013. "Human Capital Investment, Credentialing, and Wage Differentials," Discussion Papers in Economics and Business 13-31-Rev., Osaka University, Graduate School of Economics, revised Aug 2017.
    • Handle: RePEc:osk:wpaper:1731r
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    1. Diego Restuccia & Guillaume Vandenbroucke, 2013. "The Evolution Of Education: A Macroeconomic Analysis," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(3), pages 915-936, August.
    2. Ed Hopkins, 2012. "Job Market Signaling Of Relative Position, Or Becker Married To Spence," Journal of the European Economic Association, European Economic Association, vol. 10(2), pages 290-322, April.
    3. Oded Galor & Omer Moav, 2000. "Ability-Biased Technological Transition, Wage Inequality, and Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(2), pages 469-497.
    4. Daron Acemoglu, 1998. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1055-1089.
    5. Hendel, Igal & Shapiro, Joel & Willen, Paul, 2005. "Educational opportunity and income inequality," Journal of Public Economics, Elsevier, vol. 89(5-6), pages 841-870, June.
    6. Ordine, Patrizia & Rose, Giuseppe, 2011. "Inefficient self-selection into education and wage inequality," Economics of Education Review, Elsevier, vol. 30(4), pages 582-597, August.
    7. Atsushi Miyake & Kazunobu Muro & Tamotsu Nakamura & Masaya Yasuoka, 2009. "Between- and within-group wage inequalities, and the advent of new technology," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 7(4), pages 387-394, December.
    8. Corak,Miles (ed.), 2004. "Generational Income Mobility in North America and Europe," Cambridge Books, Cambridge University Press, number 9780521827607.
    9. Koichi Futagami & Shingo Ishiguro, 2004. "Signal-extracting education in an overlapping generations model," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 24(1), pages 129-146, July.
    10. Chris Bidner, 2014. "A spillover‐based theory of credentialism," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 47(4), pages 1387-1425, November.
    11. Hideki Nakamura, 2013. "Wages of regular and irregular workers, the price of education, and income inequality," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(4), pages 517-533, December.
    12. Pau Balart, 2016. "The Increase in College Premium and the Decline in Low-Skill Wages: A Signaling Story," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 18(3), pages 363-384, June.
    13. Spence, Michael, 1974. "Competitive and optimal responses to signals: An analysis of efficiency and distribution," Journal of Economic Theory, Elsevier, vol. 7(3), pages 296-332, March.
    14. Crifo, Patricia, 2008. "Skill supply and biased technical change," Labour Economics, Elsevier, vol. 15(5), pages 812-830, October.
    15. Park, Jin Heum, 1999. "Estimation of sheepskin effects using the old and the new measures of educational attainment in the Current Population Survey," Economics Letters, Elsevier, vol. 62(2), pages 237-240, February.
    16. William Blankenau & Gabriele Camera, 2006. "A Simple Economic Theory of Skill Accumulation and Schooling Decisions," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 9(1), pages 93-115, January.
    17. Yuki, Kazuhiro, 2009. "Education, Signaling, and Wage Inequality in a Dynamic Economy," MPRA Paper 16982, University Library of Munich, Germany.
    18. Jaeger, David A & Page, Marianne E, 1996. "Degrees Matter: New Evidence on Sheepskin Effects in the Returns to Education," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 733-740, November.
    19. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1169-1213.
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    More about this item

    Keywords

    human capital investment; unproductive education; wage differentials; overlapping generations; and multiple steady states;
    All these keywords.

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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