IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/8206.html
   My bibliography  Save this paper

Educational Inequality

Author

Listed:
  • Yoshiaki Azuma
  • Herschel I. Grossman

Abstract

This paper develops a theoretical model that relates changes in educational inequality to the combined effects of innovations that have increased the relative demand for more educated labor and innovations that have increased ability premiums. Under the assumption that in the long run individual decisions to become more educated equalize the lifetime earnings of more educated workers and comparable less educated workers, our model yields two novel implications: First, given the existence of ability premiums, an innovation in the relative demand for more educated labor increases educational inequality in the short run, but, ceteris paribus, would decrease educational inequality in the long run. Second, in the long run innovations that increase ability premiums cause educational inequality to be larger than otherwise. In applying our theory to recent changes in educational inequality in the United States, we suggest that increases in ability premiums are dampening the long-run response of the relative supply of more educated workers that otherwise would reverse previous increases in educational inequality.

Suggested Citation

  • Yoshiaki Azuma & Herschel I. Grossman, 2001. "Educational Inequality," NBER Working Papers 8206, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:8206
    Note: EFG
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w8206.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. R. E. Baldwin & G. G. Cain, "undated". "Shifts in U.S. Relative Wages: The Role of Trade, Technology, and Factor Endowments," Institute for Research on Poverty Discussion Papers 1132-97, University of Wisconsin Institute for Research on Poverty.
    3. Kalemli-Ozcan, Sebnem & Ryder, Harl E. & Weil, David N., 2000. "Mortality decline, human capital investment, and economic growth," Journal of Development Economics, Elsevier, vol. 62(1), pages 1-23, June.
    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. Oded Galor & Daniel Tsiddon, 1996. "Technological Progress, Mobility, and Economic Growth," Working Papers 1996-31, Brown University, Department of Economics.
    6. James Harrigan & Rita Balaban, 1999. "U.S. Wages in General Equilibrium: The Effects of Prices, Technology, and Factor Supplies, 1963-1991," NBER Working Papers 6981, National Bureau of Economic Research, Inc.
    7. Francesco Caselli, 1999. "Technological Revolutions," American Economic Review, American Economic Association, vol. 89(1), pages 78-102, March.
    8. Daron Acemoglu, 2002. "Directed Technical Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(4), pages 781-809.
    9. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-442, June.
    10. Robert H. Topel, 1997. "Factor Proportions and Relative Wages: The Supply-Side Determinants of Wage Inequality," Journal of Economic Perspectives, American Economic Association, vol. 11(2), pages 55-74, Spring.
    11. Galor, Oded & Tsiddon, Daniel, 1997. "Technological Progress, Mobility, and Economic Growth," American Economic Review, American Economic Association, vol. 87(3), pages 363-382, June.
    12. Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-266, May.
    13. Howitt, Peter & Aghion, Philippe & Violante, Giovanni, 2000. "General Purpose Technology and Within-Group Inequality," CEPR Discussion Papers 2474, C.E.P.R. Discussion Papers.
    14. Gould, Eric D & Moav, Omer & Weinberg, Bruce A, 2001. "Precautionary Demand for Education, Inequality, and Technological Progress," Journal of Economic Growth, Springer, vol. 6(4), pages 285-315, December.
    15. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    16. 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.
    17. Huw Lloyd-Ellis, 1999. "Endogenous Technological Change and Wage Inequality," American Economic Review, American Economic Association, vol. 89(1), pages 47-77, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Crifo, Patricia, 2008. "Skill supply and biased technical change," Labour Economics, Elsevier, vol. 15(5), pages 812-830, October.
    2. Linda Loubert, 2005. "Discrimination in education financing," The Review of Black Political Economy, Springer;National Economic Association, vol. 32(3), pages 17-27, March.
    3. Cecilia Garcia-Penalosa & Campbell leith & Chol-Won Li, 2001. "Wage Inequality and the Effort Incentive Effects of Technical Progress," Working Papers 2001_14, Business School - Economics, University of Glasgow.
    4. Bas Straathof, 2006. "Schooling inequality and the rise of research," CPB Discussion Paper 74.rdf, CPB Netherlands Bureau for Economic Policy Analysis.

    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. Yoshiaki Azuma & Herschel Grossman, 2001. "Educational Inequality," Working Papers 2001-03, Brown University, Department of Economics.
    2. Fatih Guvenen & Burhanettin Kuruscu, 2012. "Understanding The Evolution Of The Us Wage Distribution: A Theoretical Analysis," Journal of the European Economic Association, European Economic Association, vol. 10(3), pages 482-517, May.
    3. Gould, Eric D & Moav, Omer & Weinberg, Bruce A, 2001. "Precautionary Demand for Education, Inequality, and Technological Progress," Journal of Economic Growth, Springer, vol. 6(4), pages 285-315, December.
    4. Maoz, Yishay D. & Moav, Omer, 2004. "Social Stratification, Capital–Skill Complementarity, And The Nonmonotonic Evolution Of The Education Premium," Macroeconomic Dynamics, Cambridge University Press, vol. 8(3), pages 295-309, June.
    5. Borghans, Lex & ter Weel, Bas, 2007. "The diffusion of computers and the distribution of wages," European Economic Review, Elsevier, vol. 51(3), pages 715-748, April.
    6. Crifo, Patricia, 2008. "Skill supply and biased technical change," Labour Economics, Elsevier, vol. 15(5), pages 812-830, October.
    7. Fatih Guvenen & Burhanettin Kuruscu, 2006. "Ben-Porath meets skill-biased technical change: a theoretical analysis of rising inequality," Discussion Paper / Institute for Empirical Macroeconomics 144, Federal Reserve Bank of Minneapolis.
    8. Patricia Crifo & Etienne Lehmann, 2001. "Why the Kuznets Curve Will Always Reverse," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00150324, HAL.
    9. Chanda, Areendam, 2008. "The rise in returns to education and the decline in household savings," Journal of Economic Dynamics and Control, Elsevier, vol. 32(2), pages 436-469, February.
    10. Nahuis, Richard & Smulders, Sjak, 2002. "The Skill Premium, Technological Change and Appropriability," Journal of Economic Growth, Springer, vol. 7(2), pages 137-156, June.
    11. Patricia Crifo & Etienne Lehmann, 2001. "Why will the Kuznets Curve always reverse ?," Post-Print halshs-00179987, HAL.
    12. David B. Audretsch & Mark Sanders, 2007. "Globalization and the Rise of the Entrepreneurial Economy," Jena Economics Research Papers 2007-003, Friedrich-Schiller-University Jena.
    13. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    14. Aghion, Philippe & Howitt, Peter & Violante, Giovanni L, 2002. "General Purpose Technology and Wage Inequality," Journal of Economic Growth, Springer, vol. 7(4), pages 315-345, December.
    15. Cecilia Garcia-Penalosa & Campbell leith & Chol-Won Li, 2001. "Wage Inequality and the Effort Incentive Effects of Technical Progress," Working Papers 2001_14, Business School - Economics, University of Glasgow.
    16. repec:ilo:ilowps:365055 is not listed on IDEAS
    17. Yona Rubinstein & Daniel Tsiddon, 2004. "Coping with Technological Change: The Role of Ability in Making Inequality so Persistent," Journal of Economic Growth, Springer, vol. 9(3), pages 305-346, September.
    18. Robbins, Donald J., 2003. "The impact of trade liberalization upon inequality in developing countries : a review of theory and evidence," ILO Working Papers 993650553402676, International Labour Organization.
    19. David Hémous & Morten Olsen, 2022. "The Rise of the Machines: Automation, Horizontal Innovation, and Income Inequality," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(1), pages 179-223, January.
    20. Benabou, Roland, 2005. "Inequality, Technology and the Social Contract," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 25, pages 1595-1638, Elsevier.
    21. Keane, Michael P. & Prasad, Eswar S., 2006. "Changes in the structure of earnings during the Polish transition," Journal of Development Economics, Elsevier, vol. 80(2), pages 389-427, August.

    More about this item

    JEL classification:

    • D3 - Microeconomics - - Distribution
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:8206. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.