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Human capital investment, Signaling, and Wage differentials

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  • Masashi Tanaka

    (Graduate School of Economics, Osaka University)

Abstract

In the real world, two types of education investment may exist. One of these contributes to labor skills, and the other does not, corresponding to human capital and signal invest- ment, respectively. The question is how individuals determine the ratio of these alternative investments. In response, we formulate an overlapping generations economy where the rich and the poor invest in both types of education. We argue that the ratio of human capital to signal investment is a U-shaped function of the wage differentials between the rich and the 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 exogenous factors, such as skill-biased technical change, may switch the steady state from no-inequality to high-inequality, and as a result, the ratio of human capital to signal investment changes in a U-shaped form during the transition to the new steady state.

Suggested Citation

  • Masashi Tanaka, 2013. "Human capital investment, Signaling, and Wage differentials," Discussion Papers in Economics and Business 13-31, Osaka University, Graduate School of Economics.
  • Handle: RePEc:osk:wpaper:1331
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    References listed on IDEAS

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    1. Betts, Julian R, 1998. "The Impact of Educational Standards on the Level and Distribution of Earnings," American Economic Review, American Economic Association, vol. 88(1), pages 266-275, March.
    2. William Blankenau & Gabriele Camera, 2009. "Public Spending on Education and the Incentives for Student Achievement," Economica, London School of Economics and Political Science, vol. 76(303), pages 505-527, July.
    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. 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.
    5. 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.
    6. 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.
    7. Costrell, Robert M, 1994. "A Simple Model of Educational Standards," American Economic Review, American Economic Association, vol. 84(4), pages 956-971, September.
    8. 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.
    9. Bergh, Andreas & Fink, Günther, 2009. "Higher education, elite institutions and inequality," European Economic Review, Elsevier, vol. 53(3), pages 376-384, April.
    10. John H. Tyler & Richard J. Murnane & John B. Willett, 2000. "Estimating the Labor Market Signaling Value of the GED," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(2), pages 431-468.
    11. Dan Andrews & Andrew Leigh, 2009. "More inequality, less social mobility," Applied Economics Letters, Taylor & Francis Journals, vol. 16(15), pages 1489-1492.
    12. 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.
    13. Eric A. Hanushek, 2003. "The Failure of Input-Based Schooling Policies," Economic Journal, Royal Economic Society, vol. 113(485), pages 64-98, February.
    14. Ana M. Ferrer, 2005. "Signalling, Inequality and the Social Structure," Economica, London School of Economics and Political Science, vol. 72(287), pages 515-529, August.
    15. 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.
    16. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1169-1213.
    17. Sanghoon Lee, 2007. "The Timing Of Signaling: To Study In High School Or In College?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(3), pages 785-807, August.
    18. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
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    More about this item

    Keywords

    human capital investment; signal investment; wage differentials; multiple steady states; overlapping generations;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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