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Adjusting to a New Technology: Experience and Training

Author

Listed:
  • Elhanan Helpman
  • Antonio Rangel

Abstract

In this paper we study how aggregate output responds to the arrival of a new General Purpose Technology (GPT) by looking at adjustment mechanisms that operate through labor markets. We show that under a wide set of circumstances the arrival of a new GPT that raises long-run output can trigger a recession in the short-run. Furthermore, we characterize features of the GPT that produce a cyclical adjustment path. An initial recession occurs whenever a higher education level is required to operate the new GPT. But a recession can also occur when the new GPT has lower educational requirements. A cyclical adjustment path is more likely when inexperienced workers are less productive with the new technology and the faster productivity rises with experience in the new sector.

Suggested Citation

  • Elhanan Helpman & Antonio Rangel, 1998. "Adjusting to a New Technology: Experience and Training," Harvard Institute of Economic Research Working Papers 1833, Harvard - Institute of Economic Research.
    • Handle: RePEc:fth:harver:1833
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    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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