Drivers of automation and consequences for jobs in engineering services: an agent-based modelling approach
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- Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
- Feenstra, Robert C., 2018.
"Restoring the product variety and pro-competitive gains from trade with heterogeneous firms and bounded productivity,"
Journal of International Economics, Elsevier, vol. 110(C), pages 16-27.
- Robert C. Feenstra, 2014. "Restoring the Product Variety and Pro-competitive Gains from Trade with Heterogeneous Firms and Bounded Productivity," NBER Working Papers 19833, National Bureau of Economic Research, Inc.
- Erik Brynjolfsson & Lorin M. Hitt, 2000. "Beyond Computation: Information Technology, Organizational Transformation and Business Performance," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 23-48, Fall.
- Baldwin, Richard & Forslid, Rikard, 2023.
"Globotics and Development: When Manufacturing Is Jobless and Services Are Tradeable,"
World Trade Review, Cambridge University Press, vol. 22(3-4), pages 302-311, October.
- Richard Baldwin & Rikard Forslid, 2019. "Globotics and development: When manufacturing is jobless and services are tradable," WIDER Working Paper Series wp-2019-94, World Institute for Development Economic Research (UNU-WIDER).
- Baldwin, Richard & Forslid, Rikard, 2020. "Globotics and development: When manufacturing is jobless and services are tradable," CEPR Discussion Papers 14293, C.E.P.R. Discussion Papers.
- Richard Baldwin & Rikard Forslid, 2020. "Globotics and Development: When Manufacturing is Jobless and Services are Tradable," NBER Working Papers 26731, National Bureau of Economic Research, Inc.
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Keywords
; ; ; ; ;JEL classification:
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations
- L84 - Industrial Organization - - Industry Studies: Services - - - Personal, Professional, and Business Services
- O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CMP-2021-01-11 (Computational Economics)
- NEP-ORE-2021-01-11 (Operations Research)
- NEP-TID-2021-01-11 (Technology and Industrial Dynamics)
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