IDEAS home Printed from https://ideas.repec.org/r/nbr/nberwo/24357.html
   My bibliography  Save this item

Computerizing Industries and Routinizing Jobs: Explaining Trends in Aggregate Productivity

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Bárány, Zsófia L. & Siegel, Christian, 2020. "Biased technological change and employment reallocation," Labour Economics, Elsevier, vol. 67(C).
  2. Zsófia L. Bárány & Christian Siegel, 2019. "Job Polarization, Structural Transformation and Biased Technological Change," Travail et Emploi, La DARES, vol. 0(1), pages 25-44.
  3. Sen, A., 2024. "Structural Change at a Disaggregated Level: Sectoral Heterogeneity Matters," Janeway Institute Working Papers 2410, Faculty of Economics, University of Cambridge.
  4. Rachel Ngai & Orhun Sevinc, 2025. "A Multisector Perspective on Wage Stagnation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 56, April.
  5. Sotiris Blanas & Gino Gancia & Sang Yoon (Tim) Lee, 2019. "Who is afraid of machines?," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 627-690.
  6. Pablo Casas & José L. Torres, 2023. "Automation, automatic capital returns, and the functional income distribution," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(1), pages 113-135, January.
  7. Julieta Caunedo & Elisa Keller & Yongseok Shin, 2023. "Technology and the Task Content of Jobs across the Development Spectrum," The World Bank Economic Review, World Bank, vol. 37(3), pages 479-493.
  8. Sen, A., 2024. "Digitalization and Productivity Growth Slowdown in Production Networks," Cambridge Working Papers in Economics 2472, Faculty of Economics, University of Cambridge.
  9. Aum, Sangmin, 2022. "The Impact of COVID-19 on Jobs in Korea: Does Contact-intensiveness Matter?," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 44(2), pages 1-28.
  10. Cebreros Alfonso & Heffner-Rodríguez Aldo & Livas René & Puggioni Daniela, 2020. "Automation Technologies and Employment at Risk: The Case of Mexico," Working Papers 2020-04, Banco de México.
  11. Pablo Casas & José L. Torres, 2024. "Government size and automation," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 31(3), pages 780-807, June.
  12. Kobosko, Monika, 2021. "Ginące zawody jako konsekwencja zmian technologicznych na polskim rynku pracy," Studia z Polityki Publicznej / Public Policy Studies, Warsaw School of Economics, vol. 8(4), pages 1-21, December.
  13. Zsofia Barany & Christian Siegel, 2021. "Engines of sectoral labor productivity growth," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 304-343, January.
  14. Julieta Caunedo & David Jaume & Elisa Keller, 2023. "Occupational Exposure to Capital-Embodied Technical Change," American Economic Review, American Economic Association, vol. 113(6), pages 1642-1685, June.
  15. Pena, Werner & Siegel, Christian, 2023. "Routine-biased technical change, structure of employment, and cross-country income differences," CEPR Discussion Papers 18366, C.E.P.R. Discussion Papers.
  16. Bertin Martens & Songul Tolan, 2018. "Will this time be different? A review of the literature on the Impact of Artificial Intelligence on Employment, Incomes and Growth," JRC Working Papers on Digital Economy 2018-08, Joint Research Centre.
  17. Pugsley, Benjamin, 2018. "Comment on “Structural transformation and the rise of information technology” by Gallipoli and Makridis," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 111-116.
  18. Jakub Growiec, 2019. "The Hardware–Software Model: A New Conceptual Framework of Production, R&D, and Growth with AI," Working Paper series 19-18, Rimini Centre for Economic Analysis.
  19. Jakub Growiec & Peter McAdam & Jakub Mućk, 2022. "Are Ideas Really Getting Harder To Find? R&D Capital and the Idea Production Function," KAE Working Papers 2022-071, Warsaw School of Economics, Collegium of Economic Analysis.
  20. Lin Shao & Rongsheng Tang, 2021. "Allocative Efficiency and Aggregate Productivity Growth in Canada and the United States," Staff Working Papers 21-1, Bank of Canada.
  21. Jakub Growiec & Peter McAdam & Jakub dup Muck, 2023. "R&D Capital and the Idea Production Function," Research Working Paper RWP 23-05, Federal Reserve Bank of Kansas City.
  22. Chen, Chaoran, 2020. "Capital-skill complementarity, sectoral labor productivity, and structural transformation," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
  23. Kehrig, Matthias, 2018. "Comment on “Computerizing industries and routinizing jobs: Explaining trends in aggregate productivity” by Sangmin Aum, Sang Yoon (Tim) Lee and Yongseok Shin," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 22-28.
  24. Wang, Tianxi & Wright, Greg C., 2020. "Increasing returns to scale within limits: A model of ICT and its effect on the income distribution and occupation choice," Journal of Economic Theory, Elsevier, vol. 189(C).
  25. Seunghoon Na & Hyunseung Oh, 2020. "Computerizing Households and the Role of Investment-Specific Productivity in Business Cycles," International Finance Discussion Papers 1292, Board of Governors of the Federal Reserve System (U.S.).
  26. Sangmin Aum & Yongseok Shin, 2020. "Why Is the Labor Share Declining?," Review, Federal Reserve Bank of St. Louis, vol. 102(4), pages 413-428, October.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.