Replication data for: The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment
Principal Investigator(s): View help for Principal Investigator(s) Daron Acemoglu; Pascual Restrepo
Version: View help for Version V1
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data | 10/12/2019 06:13:AM | ||
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xpaths | 10/12/2019 06:13:AM | ||
LICENSE.txt | text/plain | 14.6 KB | 10/12/2019 02:14:AM |
ReadMe.pdf | application/pdf | 617.6 KB | 10/12/2019 02:13:AM |
edit_census_data.do | text/plain | 6.3 KB | 10/12/2019 02:13:AM |
edu_attainment_decades.do | text/plain | 11.6 KB | 10/12/2019 02:14:AM |
long-stacked_diff.do | text/plain | 16.9 KB | 10/12/2019 02:13:AM |
Project Citation:
Acemoglu, Daron, and Restrepo, Pascual. Replication data for: The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment. Nashville, TN: American Economic Association [publisher], 2018. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113138V1
Project Description
Summary:
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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.
Scope of Project
JEL Classification:
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D63 Equity, Justice, Inequality, and Other Normative Criteria and Measurement
E22 Investment; Capital; Intangible Capital; Capacity
E23 Macroeconomics: Production
E24 Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
J24 Human Capital; Skills; Occupational Choice; Labor Productivity
O33 Technological Change: Choices and Consequences; Diffusion Processes
O41 One, Two, and Multisector Growth Models
D63 Equity, Justice, Inequality, and Other Normative Criteria and Measurement
E22 Investment; Capital; Intangible Capital; Capacity
E23 Macroeconomics: Production
E24 Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
J24 Human Capital; Skills; Occupational Choice; Labor Productivity
O33 Technological Change: Choices and Consequences; Diffusion Processes
O41 One, Two, and Multisector Growth Models
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