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Artificial Intelligence, Robots and Unemployment: Evidence from OECD Countries

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  • Florent Bordot

Abstract

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Suggested Citation

  • Florent Bordot, 2022. "Artificial Intelligence, Robots and Unemployment: Evidence from OECD Countries," Journal of Innovation Economics, De Boeck Université, vol. 0(1), pages 117-138.
  • Handle: RePEc:cai:jiedbu:jie_037_0117
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    Citations

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    Cited by:

    1. Armenia, Stefano & Franco, Eduardo & Iandolo, Francesca & Maielli, Giuliano & Vito, Pietro, 2024. "Zooming in and out the landscape: Artificial intelligence and system dynamics in business and management," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    2. Jingyi TIAN & Jun NAGAYASU, 2024. "AI and Financial Systemic Risk in the Global Market," TUPD Discussion Papers 55, Graduate School of Economics and Management, Tohoku University.
    3. Andrea Borsato & André Lorentz, 2023. "Data production and the coevolving AI trajectories: an attempted evolutionary model," Journal of Evolutionary Economics, Springer, vol. 33(5), pages 1427-1472, November.
    4. Pablo Casas & Concepción Román, 2024. "The impact of artificial intelligence in the early retirement decision," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(3), pages 583-618, August.
    5. Darıcı, Sefer & Riaz, Muhammad & Demir, Gülay & Gencer, Zekiye Tamer & Pamucar, Dragan, 2024. "How will I break AI? Post-Luddism in the AI age: Fuzzy MCDM synergy," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    6. Leibrecht, Markus & Scharler, Johann & Zhoufu, Yan, 2023. "Automation and unemployment: Does collective bargaining moderate their association?," Structural Change and Economic Dynamics, Elsevier, vol. 67(C), pages 264-276.
    7. Wei, Xinyi & Chu, Xiaoyuan & Geng, Jingyu & Wang, Yuhui & Wang, Pengcheng & Wang, HongXia & Wang, Caiyu & Lei, Li, 2024. "Societal impacts of chatbot and mitigation strategies for negative impacts: A large-scale qualitative survey of ChatGPT users," Technology in Society, Elsevier, vol. 77(C).
    8. Borsato, Andrea & Lorentz, André, 2023. "The Kaldor–Verdoorn law at the age of robots and AI," Research Policy, Elsevier, vol. 52(10).
    9. Scuotto, V. & Ballestra, L.V. & Cuomo, M.T. & Del Giudice, M., 2024. "Increasing lower incomes and reducing material deprivation: The beneficial role of social robots," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    10. Jurkat, Anne & Klump, Rainer & Schneider, Florian, 2023. "Robots and Wages: A Meta-Analysis," EconStor Preprints 274156, ZBW - Leibniz Information Centre for Economics.
    11. Suhrab, Muhammad & Chen, Pinglu & Ullah, Atta, 2024. "Digital financial inclusion and income inequality nexus: Can technology innovation and infrastructure development help in achieving sustainable development goals?," Technology in Society, Elsevier, vol. 76(C).
    12. Oscar Afonso & Tiago Sequeira & Derick Almeida, 2023. "Technological knowledge and wages: from skill premium to wage polarization," Journal of Economics, Springer, vol. 140(2), pages 93-119, October.

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