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Why the Kuznets Curve will always Reverse ?

  • Patricia CRIFO-TILLET

    (GATE, University Lyon II)

  • Etienne LEHMANN

    (CREUSET, University J. Monnet Saint-Etienne and EUREQua, University Paris I)

In this paper, we develop a model of innovation-based growth to address the issue of skill-biased technical change over the long run. We show that innovations fluctuate endogenously from skill-intensive to unskilled-intensive sectors, thereby generating periods of increasing and decreasing wage inequality. This could contribute to explain that technological progress exerts a non monotonic pressure on wage inequality over the long run.

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Paper provided by Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES) in its series Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) with number 2001036.

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Length: 33
Date of creation: 01 Dec 2001
Date of revision:
Handle: RePEc:ctl:louvir:2001036
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  1. Goldin, Claudia D. & Katz, Lawrence F., 1998. "The Origins of Technology-Skill Complementarity," Scholarly Articles 27867130, Harvard University Department of Economics.
  2. Per Krusell & Lee E. Ohanian & JosÈ-Victor RÌos-Rull & Giovanni L. Violante, 2000. "Capital-Skill Complementarity and Inequality: A Macroeconomic Analysis," Econometrica, Econometric Society, vol. 68(5), pages 1029-1054, September.
  3. Francesco Caselli, 1999. "Technological Revolutions," American Economic Review, American Economic Association, vol. 89(1), pages 78-102, March.
  4. Galor, Oded & Tsiddon, Daniel, 1997. "Technological Progress, Mobility, and Economic Growth," American Economic Review, American Economic Association, vol. 87(3), pages 363-82, June.
  5. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
  6. Claudia Goldin & Lawrence F. Katz, 1999. "The Returns to Skill in the United States across the Twentieth Century," NBER Working Papers 7126, National Bureau of Economic Research, Inc.
  7. 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.
  8. Claudia Goldin & Robert A. Margo, 1992. "The Great Compression: The Wage Structure in the United States at Mid-Century," The Quarterly Journal of Economics, Oxford University Press, vol. 107(1), pages 1-34.
  9. Philippe Aghion & Peter Howitt, 1990. "A Model of Growth Through Creative Destruction," NBER Working Papers 3223, National Bureau of Economic Research, Inc.
  10. Ricardo J. Caballero & Mohamad L. Hammour, 1991. "The Cleansing Effect of Recessions," NBER Working Papers 3922, National Bureau of Economic Research, Inc.
  11. Bresnahan, Timothy F. & Trajtenberg, M., 1995. "General purpose technologies 'Engines of growth'?," Journal of Econometrics, Elsevier, vol. 65(1), pages 83-108, January.
  12. Oded Galor & Omer Moav, 1998. "Ability Biased Technological Transition, Wage Inequality, and Economic Growth," Working Papers 98-14, Brown University, Department of Economics.
  13. Acemoglu, Daron, 1997. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," CEPR Discussion Papers 1707, C.E.P.R. Discussion Papers.
  14. Aghion, P. & Saint-Paul, G., 1991. "On The Virtue of Bad Times: An Analysis of the Interaction Between Economic Fluctuations and Productivity Growth," DELTA Working Papers 91-23, DELTA (Ecole normale supérieure).
  15. Chol-Won Li, 1998. "Growth and Output Fluctuations," Working Papers 9810, Business School - Economics, University of Glasgow.
  16. 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 410-42, June.
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