IDEAS home Printed from https://ideas.repec.org/a/ete/revbec/20070202.html
   My bibliography  Save this article

No Can Do? A Test of the Textbook Model of Labor Markets

Author

Listed:
  • M. Goos

Abstract

This study exploits Britain~s expansion of its higher education system between 1988 and 1994 to show that the recent increase in college attaimnent growth rates has decreased college premiums for Britain's youngest workers. This is in line with the predictions from an adverse supply shock in a simple aggregate model of relative demand for and supply of college labor. Moreover, this paper conjec* tures that a simple demand-supply model can go a substantial distance towards explaining the variation in the UK economy-wide average return to college and overall wage inequality.

Suggested Citation

  • M. Goos, 2007. "No Can Do? A Test of the Textbook Model of Labor Markets," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(2), pages 217-264.
    • Handle: RePEc:ete:revbec:20070202
    as

    Download full text from publisher

    File URL: https://lirias.kuleuven.be/bitstream/123456789/198163/2/2007-2+GOOS.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Card & Thomas Lemieux, 2001. "Can Falling Supply Explain the Rising Return to College for Younger Men? A Cohort-Based Analysis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 705-746.
    2. David Card & John E. DiNardo, 2002. "Skill-Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles," Journal of Labor Economics, University of Chicago Press, vol. 20(4), pages 733-783, October.
    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. Battisti, Michele & Gatto, Massimo Del & Parmeter, Christopher F., 2022. "Skill-biased technical change and labor market inefficiency," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    2. Fatih Guvenen & Burhanettin Kuruscu, 2010. "A Quantitative Analysis of the Evolution of the US Wage Distribution, 1970–2000," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 227-276, National Bureau of Economic Research, Inc.
    3. Verdugo, Gregory, 2014. "The great compression of the French wage structure, 1969–2008," Labour Economics, Elsevier, vol. 28(C), pages 131-144.
    4. Dirk Antonczyk & Thomas DeLeire & Bernd Fitzenberger, 2018. "Polarization and Rising Wage Inequality: Comparing the U.S. and Germany," Econometrics, MDPI, vol. 6(2), pages 1-33, April.
    5. Fitzenberger, Bernd & Kohn, Karsten, 2006. "Skill Wage Premia, Employment, and Cohort Effects: Are Workers in Germany All of the Same Type?," IZA Discussion Papers 2185, Institute of Labor Economics (IZA).
    6. Arnaud Dupuy & Lex Borghans, 2005. "Supply and demand, allocation and wage inequality: an international comparison," Applied Economics, Taylor & Francis Journals, vol. 37(9), pages 1073-1088.
    7. Hornstein, Andreas & Krusell, Per & Violante, Giovanni L., 2005. "The Effects of Technical Change on Labor Market Inequalities," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 20, pages 1275-1370, Elsevier.
    8. Spitzer, Yannay, 2019. "Pale in Comparison: Jews as a Rural Service Minority," CEPR Discussion Papers 14262, C.E.P.R. Discussion Papers.
    9. David A. Green & Benjamin M. Sand, 2015. "Has the Canadian labour market polarized?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 48(2), pages 612-646, May.
    10. David Card & John DiNardo, 2002. "Technology and U.S. wage inequality: a brief look," Economic Review, Federal Reserve Bank of Atlanta, vol. 87(Q3), pages 45-62.
    11. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2005. "Trends in U. S. Wage Inequality: Re-Assessing the Revisionists," Harvard Institute of Economic Research Working Papers 2095, Harvard - Institute of Economic Research.
    12. Paul Beaudry & David A. Green, 2005. "Changes in U.S. Wages, 19762000: Ongoing Skill Bias or Major Technological Change?," Journal of Labor Economics, University of Chicago Press, vol. 23(3), pages 609-648, July.
    13. Richard Blundell & James P. Ziliak & Hugo Lopez, 2023. "Labour market inequality and the changing life cycle profile of male and female wages," IFS Working Papers W23/16, Institute for Fiscal Studies.
    14. Bozio, Antoine & Breda, Thomas & Guillot, Malka, 2020. "The Contribution of Payroll Taxation to Wage Inequality in France," IZA Discussion Papers 13317, Institute of Labor Economics (IZA).
    15. David Autor, 2017. "Comments," NBER Chapters, in: Education, Skills, and Technical Change: Implications for Future US GDP Growth, pages 342-354, National Bureau of Economic Research, Inc.
    16. Michael Chletsos & Stelios Roupakias, 2020. "Education and wage inequality before and during the fiscal crisis: A quantile regression analysis for Greece 2006–2016," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1333-1364, November.
    17. Julie L. Hotchkiss & Menbere Shiferaw, 2011. "Decomposing the education wage gap: everything but the kitchen sink," Review, Federal Reserve Bank of St. Louis, vol. 93(July), pages 243-272.
    18. David Card & John E. DiNardo, 2002. "Skill-Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles," Journal of Labor Economics, University of Chicago Press, vol. 20(4), pages 733-783, October.
    19. 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.
    20. Marco Manacorda & Carolina Sanchez-Paramo & Norbert Schady, 2010. "Changes in Returns to Education in Latin America: The Role of Demand and Supply of Skills," ILR Review, Cornell University, ILR School, vol. 63(2), pages 307-326, January.

    More about this item

    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:ete:revbec:20070202. 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: library EBIB (email available below). General contact details of provider: https://edirc.repec.org/data/fekulbe.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.