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Adjusting to a New Technology: Experience and Training

Author

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  • Elhanan Helpman
  • Antonio Rangel

Abstract

December 1998 How does the economy react to the arrival of a new major technology? The existing literature on General Purpose Technologies (GPTs) has studied the role that mechanisms like secondary innovations, diffusion, and learning by firms play in the adjustment process. By contrast, we focus on a new mechanisms based on the interplay between technological change and human capital accumulation. We show that technological change that requires more education and training, like computerization, necessarily produces an initial slowdown. Surprisingly, however, technological change that lowers the training requirement, like the move from the artisan shop to the factory, can produce either a bust or a boom. We identify three key properties that determine which effect will occur: (1) the productivity of inexperienced workers; (2) the speed with which experience increases productivity; and (3) the level of general skills required to operate the new technology.

Suggested Citation

  • Elhanan Helpman & Antonio Rangel, 1998. "Adjusting to a New Technology: Experience and Training," Working Papers 99002, Stanford University, Department of Economics.
    • Handle: RePEc:wop:stanec:99002
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    References listed on IDEAS

    as
    1. Andreas Hornstein & Per Krusell, 1996. "Can Technology Improvements Cause Productivity Slowdowns?," NBER Chapters, in: NBER Macroeconomics Annual 1996, Volume 11, pages 209-276, National Bureau of Economic Research, Inc.
    2. Murphy, Kevin M & Welch, Finis, 1990. "Empirical Age-Earnings Profiles," Journal of Labor Economics, University of Chicago Press, vol. 8(2), pages 202-229, April.
    3. repec:adr:anecst:y:1998:i:49-50 is not listed on IDEAS
    4. repec:adr:anecst:y:1998:i:49-50:p:02 is not listed on IDEAS
    5. Philippe Aghion & Peter Howitt, 1999. "On the Macroeconomic Effects of Major Technological Change," Nordic Journal of Political Economy, Nordic Journal of Political Economy, vol. 25, pages 15-32.
    6. Elhanan Helpman & Manuel Trajtenberg, 1996. "Diffusion of General Purpose Technologies," NBER Working Papers 5773, National Bureau of Economic Research, Inc.
    7. Helpman, Elhanan & Trajtenberg, Manuel, 1994. "A Time to Sow and a Time to Reap: Growth Based on General Purpose Technologies," CEPR Discussion Papers 1080, C.E.P.R. Discussion Papers.
    8. David Autor & Lawrence Katz & Alan Krueger, 1997. "Computing Inequality: Have Computers Changed the Labor Market?," Working Papers 756, Princeton University, Department of Economics, Industrial Relations Section..
    9. 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.
    10. 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.
    11. repec:fth:prinin:377 is not listed on IDEAS
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    More about this item

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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