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Technological unemployment revisited: automation in a search and matching framework
[The future of work: meeting the global challenges of demographic change and automation]

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. David E. Bloom & Victoria Y. Fan & Vadim Kufenko & Osondu Ogbuoji & Klaus Prettner & Gavin Yamey, 2021. "Going beyond GDP with a parsimonious indicator: inequality-adjusted healthy lifetime income," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 19(1), pages 127-140.
  3. Marczak, Martyna & Beissinger, Thomas & Brall, Franziska, 2022. "Technical change, task allocation, and labor unions," Hohenheim Discussion Papers in Business, Economics and Social Sciences 05-2022, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
  4. Abeliansky, Ana Lucia & Prettner, Klaus, 2017. "Automation and demographic change," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168215, Verein für Socialpolitik / German Economic Association.
  5. Fierro, Luca Eduardo & Caiani, Alessandro & Russo, Alberto, 2022. "Automation, Job Polarisation, and Structural Change," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 499-535.
  6. Ana Lucia Abeliansky & Klaus Prettner, 2021. "Population Growth and Automation Density: Theory and CrossCountry Evidence," VID Working Papers 2102, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
  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 & Naudé, Wim, 2020. "Artificial Intelligence, Income Distribution and Economic Growth," GLO Discussion Paper Series 632, Global Labor Organization (GLO).
  9. David E. Bloom & Klaus Prettner & Jamel Saadaoui & Mario Veruete, 2023. "Artificial intelligence and the skill premium," Papers 2311.09255, arXiv.org.
  10. Jacobs, Arthur, 2023. "Capital-augmenting technical change in the context of untapped automation opportunities," Mathematical Social Sciences, Elsevier, vol. 123(C), pages 155-166.
  11. Dennis C. Hutschenreiter & Tommaso Santini & Eugenia Vella, 2022. "Automation and sectoral reallocation," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 335-362, May.
  12. Arthur Jacobs & Freddy Heylen, 2021. "Demographic change, secular stagnation and inequality: automation as a blessing?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 21/1030, Ghent University, Faculty of Economics and Business Administration.
  13. 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).
  14. Sasaki, Hiroaki, 2021. "Automation Technology, Economic Growth, and Income Distribution in an Economy with Dynasties and Overlapping Generations," MPRA Paper 105446, University Library of Munich, Germany.
  15. 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.
  16. 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).
  17. Kerndler, Martin, 2023. "Occupational safety in a frictional labor market," Labour Economics, Elsevier, vol. 83(C).
  18. García, Carlos J. & González, Wildo D. & Rivera, Tiare, 2024. "Robots at work in emerging developing countries: How bad could it be?," Labour Economics, Elsevier, vol. 87(C).
  19. Abeliansky, Ana Lucia & Prettner, Klaus & Rodriguez-Crespo, Ernesto, 2024. "Climate change and automation: the emission effects of robot adoption," Department of Economics Working Paper Series 370, WU Vienna University of Economics and Business.
  20. Karina Doorley & Jan Gromadzki & Piotr Lewandowski & Dora Tuda & Philippe Van Kerm, 2023. "Automation and income inequality in Europe," IBS Working Papers 06/2023, Instytut Badan Strukturalnych.
  21. Prettner, Klaus, 2023. "Stagnant wages in the face of rising labor productivity: The potential role of industrial robots," Finance Research Letters, Elsevier, vol. 58(PD).
  22. Xiaomeng Zhang & Theodore Palivos & Xiangbo Liu, 2022. "Aging and automation in economies with search frictions," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(2), pages 621-642, April.
  23. Cheng, Can & Luo, Jiayu & Zhu, Chun & Zhang, Shangfeng, 2024. "Artificial intelligence and the skill premium: A numerical analysis of theoretical models," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  24. Guimarães, Luís & Mazeda Gil, Pedro, 2022. "Explaining the Labor Share: Automation Vs Labor Market Institutions," Labour Economics, Elsevier, vol. 75(C).
  25. Abeliansky, Ana Lucia & Prettner, Klaus, 2023. "Automation and population growth: Theory and cross-country evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 208(C), pages 345-358.
  26. Gasteiger, Emanuel & Prettner, Klaus, 2022. "Automation, Stagnation, And The Implications Of A Robot Tax," Macroeconomic Dynamics, Cambridge University Press, vol. 26(1), pages 218-249, January.
  27. Ana L. ABELIANSKY & Eda ALGUR & David E. BLOOM & Klaus PRETTNER, 2020. "The future of work: Meeting the global challenges of demographic change and automation," International Labour Review, International Labour Organization, vol. 159(3), pages 285-306, September.
  28. Arthur Jacobs & Elsy Verhofstadt & Luc Van Ootegem, 2023. "Are more automatable jobs less satisfying?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 23/1059, Ghent University, Faculty of Economics and Business Administration.
  29. Wang, Linhui & Cao, Zhanglu & Dong, Zhiqing, 2023. "Are artificial intelligence dividends evenly distributed between profits and wages? Evidence from the private enterprise survey data in China," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 342-356.
  30. Pi, Jiancai & Fan, Yanwei, 2021. "The impact of robots on equilibrium unemployment of unionized workers," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 663-675.
  31. Mihaela Simionescu, 2023. "The Entropy of Romanian Economists into the Labour Market," Social Sciences, MDPI, vol. 12(4), pages 1-13, April.
  32. Sasaki, Hiroaki & Hagiwara, Takefumi & Pham, Huong & Fukatani, Noriki & Ogawa, Shogo & Okahara, Naoto, 2021. "How Does Automation Affect Economic Growth and Income Distribution in a Two-Class Economy?," MPRA Paper 106481, University Library of Munich, Germany.
  33. 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.
  34. Abeliansky, Ana Lucia & Beulmann, Matthias & Prettner, Klaus, 2024. "Are they coming for us? Industrial robots and the mental health of workers," Research Policy, Elsevier, vol. 53(3).
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