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Technology and the Wage Structure

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  • Steven G. Allen

Abstract

This paper reports direct evidence on how recent changes in technology are related to changes in wage differentials by schooling, experience, and gender. Wage differentials by industry in the full- year 1979 and 1989 Current Population Surveys are related to R&D intensity, usage of high-tech capital, recentness of technology, growth in total factor productivity, and growth of the capital-labor ratio. Returns to schooling are larger in industries that are intensive in R&D and high-tech capital. Technology variables account for 30 percent of the increase in the wage gap between college and high school graduates.

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Bibliographic Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 5534.

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Date of creation: Apr 1996
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Publication status: published as Allen, Steven G. "Technology And The Wage Structure," Journal of Labor Economics, 2001, v19(2,Apr), 440-483.
Handle: RePEc:nbr:nberwo:5534

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  1. Steven G. Allen, 1994. "Updated Notes on the Interindustry Wage Structure," NBER Working Papers 4664, National Bureau of Economic Research, Inc.
  2. repec:fth:harver:1487 is not listed on IDEAS
  3. Griliches, Zvi, 1969. "Capital-Skill Complementarity," The Review of Economics and Statistics, MIT Press, vol. 51(4), pages 465-68, November.
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  5. Dale W. Jorgenson, 1991. "Productivity and Economic Growth," NBER Chapters, in: Fifty Years of Economic Measurement: The Jubilee of the Conference on Research in Income and Wealth, pages 19-118 National Bureau of Economic Research, Inc.
  6. Doms, Mark & Dunne, Timothy & Troske, Kenneth R, 1997. "Workers, Wages, and Technology," The Quarterly Journal of Economics, MIT Press, MIT Press, vol. 112(1), pages 253-90, February.
  7. Ehrenberg, Ronald G, 1992. "The Flow of New Doctorates," Journal of Economic Literature, American Economic Association, vol. 30(2), pages 830-75, June.
  8. Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-38, May.
  9. Neal, Derek, 1995. "Industry-Specific Human Capital: Evidence from Displaced Workers," Journal of Labor Economics, University of Chicago Press, University of Chicago Press, vol. 13(4), pages 653-77, October.
  10. Bartel, Ann P & Lichtenberg, Frank R, 1987. "The Comparative Advantage of Educated Workers in Implementing New Technology," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 1-11, February.
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  12. Berndt, Ernst R. & Morrison, Catherine J. & Rosenblum, Larry S., 1992. "High-tech capital formation and labor composition in U.S. manufacturing industries : an exploratory analysis," Working papers, Massachusetts Institute of Technology (MIT), Sloan School of Management 3414-92., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  13. 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, University of Chicago Press, vol. 101(3), pages 410-42, June.
  14. Berman, Eli & Bound, John & Griliches, Zvi, 1994. "Changes in the Demand for Skilled Labor within U.S. Manufacturing: Evidence from the Annual Survey of Manufactures," The Quarterly Journal of Economics, MIT Press, MIT Press, vol. 109(2), pages 367-97, May.
  15. Jacob Mincer, 1991. "Human Capital, Technology, and the Wage Structure: What Do Time Series Show?," NBER Working Papers 3581, National Bureau of Economic Research, Inc.
  16. Welch, F, 1970. "Education in Production," Journal of Political Economy, University of Chicago Press, University of Chicago Press, vol. 78(1), pages 35-59, Jan.-Feb..
  17. Helwege, Jean, 1992. "Sectoral Shifts and Interindustry Wage Differentials," Journal of Labor Economics, University of Chicago Press, University of Chicago Press, vol. 10(1), pages 55-84, January.
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