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Measuring the Bias of Technological Change

Author

Listed:
  • Jordi Jaumandreu

    (Boston University)

  • Ulrich Doraszelski

    (Harvard University)

Abstract

functions that allows productivity to be multi-dimensional. Using firm-level panel data, we are able to directly assess the bias of technological change by measuring, at the level of the individual firm, how much of technological change is factor neutral and how much of it is labor augmenting. We further relate the speed and the direction of technological change to firms' R&D activities.

Suggested Citation

  • Jordi Jaumandreu & Ulrich Doraszelski, 2010. "Measuring the Bias of Technological Change," 2010 Meeting Papers 97, Society for Economic Dynamics.
    • Handle: RePEc:red:sed010:97
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    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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