skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment

The American economic review, 2018-06, Vol.108 (6), p.1488-1542 [Peer Reviewed Journal]

Copyright© 2018 by the American Economic Association ;Copyright American Economic Association Jun 2018 ;ISSN: 0002-8282 ;EISSN: 1944-7981 ;DOI: 10.1257/aer.20160696

Full text available

Citations Cited by
  • Title:
    The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment
  • Author: Acemoglu, Daron ; Restrepo, Pascual
  • Subjects: Accumulation ; Automation ; Capital ; Economic models ; Employment ; Inequality ; Innovations ; Labor ; Race ; Task performance ; Technological change ; Technology ; Wages & salaries
  • Is Part Of: The American economic review, 2018-06, Vol.108 (6), p.1488-1542
  • Description: We examine the concerns that new technologies will render labor redundant in a framework in which tasks previously performed by labor can be automated and new versions of existing tasks, in which labor has a comparative advantage, can be created. In a static version where capital is fixed and technology is exogenous, automation reduces employment and the labor share, and may even reduce wages, while the creation of new tasks has the opposite effects. Our full model endogenizes capital accumulation and the direction of research toward automation and the creation of new tasks. If the long-run rental rate of capital relative to the wage is sufficiently low, the long-run equilibrium involves automation of all tasks. Otherwise, there exists a stable balanced growth path in which the two types of innovations go hand-in-hand. Stability is a consequence of the fact that automation reduces the cost of producing using labor, and thus discourages further automation and encourages the creation of new tasks. In an extension with heterogeneous skills, we show that inequality increases during transitions driven both by faster automation and the introduction of new tasks, and characterize the conditions under which inequality stabilizes in the long run.
  • Publisher: Nashville: American Economic Association
  • Language: English
  • Identifier: ISSN: 0002-8282
    EISSN: 1944-7981
    DOI: 10.1257/aer.20160696
  • Source: ProQuest Central

Searching Remote Databases, Please Wait