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The lost race against the machine: Automation, education and inequality in an R&D-based growth model

Citations

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Cited by:

  1. Naudé, Wim, 2019. "The Race against the Robots and the Fallacy of the Giant Cheesecake: Immediate and Imagined Impacts of Artificial Intelligence," IZA Discussion Papers 12218, Institute of Labor Economics (IZA).
  2. Abeliansky, Ana & Prettner, Klaus, 2017. "Automation and demographic change," University of Göttingen Working Papers in Economics 310, University of Goettingen, Department of Economics.
  3. Astrid Krenz & Holger Strulik, 2021. "Quantifying reshoring at the macro‐level—Measurement and applications," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1200-1229, September.
  4. Dario Cords & Klaus Prettner, 2022. "Technological unemployment revisited: automation in a search and matching framework [The future of work: meeting the global challenges of demographic change and automation]," Oxford Economic Papers, Oxford University Press, vol. 74(1), pages 115-135.
  5. Krenz, Astrid & Prettner, Klaus & Strulik, Holger, 2021. "Robots, reshoring, and the lot of low-skilled workers," European Economic Review, Elsevier, vol. 136(C).
  6. Wang, Linhui & Wang, Hui & Cao, Zhanglu & He, Yongda & Dong, Zhiqing & Wang, Shixiang, 2022. "Can industrial intellectualization reduce carbon emissions? — Empirical evidence from the perspective of carbon total factor productivity in China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
  7. Guimarães, Luís & Mazeda Gil, Pedro, 2022. "Looking ahead at the effects of automation in an economy with matching frictions," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
  8. Gries, Thomas & Naude, Wim, 2020. "Artificial Intelligence, Income Distribution and Economic Growth," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224623, Verein für Socialpolitik / German Economic Association.
  9. Gasteiger, Emanuel & Prettner, Klaus, 2017. "A note on automation, stagnation, and the implications of a robot tax," Discussion Papers 2017/17, Free University Berlin, School of Business & Economics.
  10. Abeliansky, Ana & Algur, Eda & Bloom, David E. & Prettner, Klaus, 2020. "The Future of Work: Challenges for Job Creation Due to Global Demographic Change and Automation," IZA Discussion Papers 12962, Institute of Labor Economics (IZA).
  11. Geiger, Niels & Prettner, Klaus & Schwarzer, Johannes A., 2018. "Automatisierung, Wachstum und Ungleichheit," Hohenheim Discussion Papers in Business, Economics and Social Sciences 13-2018, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
  12. Hayakawa, Kazunobu & Mukunoki, Hiroshi, 2022. "How does additive manufacturing change trade?: evidence from trade in sound recordings," IDE Discussion Papers 848, Institute of Developing Economies, Japan External Trade Organization(JETRO).
  13. David E. Bloom & Mathew McKenna & Klaus Prettner, 2018. "Demography, Unemployment, Automation, and Digitalization: Implications for the Creation of (Decent) Jobs, 2010–2030," NBER Working Papers 24835, National Bureau of Economic Research, Inc.
  14. Prettner, Klaus & Strulik, Holger, 2017. "The lost race against the machine: Automation, education and inequality in an R&D-based growth model," Hohenheim Discussion Papers in Business, Economics and Social Sciences 08-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
  15. Huang, Xu & Hu, Yan & Dong, Zhiqiang, 2019. "The macroeconomic consequences of artificial intelligence: A theoretical framework," Economics Discussion Papers 2019-48, Kiel Institute for the World Economy (IfW Kiel).
  16. Zhang, Pengqing, 2019. "Automation, wage inequality and implications of a robot tax," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 500-509.
  17. Lankisch, Clemens & Prettner, Klaus & Prskawetz, Alexia, 2017. "Robots and the skill premium: An automation-based explanation of wage inequality," Hohenheim Discussion Papers in Business, Economics and Social Sciences 29-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
  18. Prettner, Klaus & Strulik, Holger, 2020. "Innovation, automation, and inequality: Policy challenges in the race against the machine," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 249-265.
  19. Martin Labaj & Daniel Dujava, 2019. "Economic growth and convergence during the transition to production using automation capital," Department of Economic Policy Working Paper Series 017, Department of Economic Policy, Faculty of National Economy, University of Economics in Bratislava.
  20. Lankisch, Clemens & Prettner, Klaus & Prskawetz, Alexia, 2019. "How can robots affect wage inequality?," Economic Modelling, Elsevier, vol. 81(C), pages 161-169.
  21. Guimarães, Luís & Mazeda Gil, Pedro, 2022. "Explaining the Labor Share: Automation Vs Labor Market Institutions," Labour Economics, Elsevier, vol. 75(C).
  22. Maciej Cieślukowski & Przemysław Garsztka & Beata Zyznarska-Dworczak, 2022. "The Impact of Robotification on the Financial Situation of Microenterprises: Evidence from the Financial Services Sector in Poland," Risks, MDPI, vol. 10(2), pages 1-20, February.
  23. Gries, Thomas & Naudé, Wim, 2021. "The Race of Man and Machine: Implications of Technology When Abilities and Demand Constraints Matter," IZA Discussion Papers 14341, Institute of Labor Economics (IZA).
  24. Ke An & Yike Shan & Sheng Shi, 2022. "Impact of Industrial Intelligence on Total Factor Productivity," Sustainability, MDPI, vol. 14(21), pages 1-21, November.
  25. Chu, Angus C. & Cozzi, Guido & Furukawa, Yuichi & Liao, Chih-Hsing, 2018. "Should the Government Subsidize Innovation or Automation?," MPRA Paper 88276, University Library of Munich, Germany.
  26. Corneo, Giacomo, 2020. "Progressive Sovereign Wealth Funds," CEPR Discussion Papers 14746, C.E.P.R. Discussion Papers.
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