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Automation and unemployment: help is on the way

Author

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  • Hideki Nakamura

    (Osaka Metropolitan University)

  • Joseph Zeira

    (Hebrew University of Jerusalem)

Abstract

This paper examines the evolution of unemployment in a task-based model that allows for two types of technical change. One is automation, which turns labor tasks into mechanized ones. The second is addition of new labor tasks, which increases specialization, as in the expanding variety literature. The paper shows that in equilibrium the unemployment caused by automation converges to zero over time.

Suggested Citation

  • Hideki Nakamura & Joseph Zeira, 2024. "Automation and unemployment: help is on the way," Journal of Economic Growth, Springer, vol. 29(2), pages 215-250, June.
  • Handle: RePEc:kap:jecgro:v:29:y:2024:i:2:d:10.1007_s10887-023-09233-9
    DOI: 10.1007/s10887-023-09233-9
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    3. Ryosuke Shimizu & Shohei Momoda, 2021. "Does Automation Technology increase Wage?," Discussion papers ron343, Policy Research Institute, Ministry of Finance Japan.
    4. Basso, Henrique S. & Jimeno, Juan F., 2021. "From secular stagnation to robocalypse? Implications of demographic and technological changes," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 833-847.
    5. Gravina, Antonio Francesco & Foster-McGregor, Neil, 2020. "Automation, globalisation and relative wages: An empirical analysis of winners and losers," MERIT Working Papers 2020-040, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    6. Juan E. Jacobo, 2022. "Back to the Surplus: An Unorthodox Neoclassical Model of Growth, Distribution and Unemployment with Technical Change," Papers 2211.14978, arXiv.org.
    7. M. Battisti & M. Del Gatto & A. F. Gravina & C. F. Parmeter, 2021. "Robots versus labor skills: a complementarity/substitutability analysis," Working Paper CRENoS 202104, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    8. Oliver Kovacs, 2022. "Inclusive Industry 4.0 in Europe—Japanese Lessons on Socially Responsible Industry 4.0," Social Sciences, MDPI, vol. 11(1), pages 1-26, January.
    9. Inhye Yoo & Chan-Goo Yi, 2022. "Economic Innovation Caused by Digital Transformation and Impact on Social Systems," Sustainability, MDPI, vol. 14(5), pages 1-18, February.
    10. Ratneswary Rasiah & Jason J Turner & Yew Foo HO, 2019. "The Impact of Emotional Intelligence on Work Performance: Perceptions and Reflections from Academics in Malaysian Higher EducationObitat endiaest que," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 13(3), September.
    11. Ryosuke Shimizu & Shohei Momoda, 2020. "Does Automation Technology increase Wage?," KIER Working Papers 1039, Kyoto University, Institute of Economic Research.
    12. ARAI Kosuke & FUJIWARA Ippei & SHIROTA Toyoichiro, 2021. "Robot Penetration and Task Changes," Discussion papers 21093, Research Institute of Economy, Trade and Industry (RIETI).
    13. Shimizu, Ryosuke & Momoda, Shohei, 2023. "Does automation technology increase wage?," Journal of Macroeconomics, Elsevier, vol. 77(C).
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    More about this item

    Keywords

    Automation; Unemployment; Technical change; Growth; Factor shares;
    All these keywords.

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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