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

Computerizing Industries and Routinizing Jobs: Explaining Trends in Aggregate Productivity

Author

Listed:
  • Sangmin Aum
  • Sang Yoon (Tim) Lee
  • Yongseok Shin

Abstract

Aggregate productivity growth in the U.S. has slowed down since the 2000s. We quantify the importance of differential productivity growth across occupations and across industries, and the rise of computers since the 1980s, for the productivity slowdown. Complementarity across occupations and industries in production shrinks the relative size of those with high productivity growth, reducing their contributions toward aggregate productivity growth, resulting in its slowdown. We find that such a force, especially the shrinkage of occupations with above-average productivity growth through “routinization,” was present since the 1980s. Through the end of the 1990s, this force was countervailed by the extraordinarily high productivity growth in the computer industry, of which output became an increasingly more important input in all industries (“computerization”). It was only when the computer industry's productivity growth slowed down in the 2000s that the negative effect of routinization on aggregate productivity became apparent. We also show that the decline in the labor income share can be attributed to computerization, which substitutes labor across all industries.

Suggested Citation

  • Sangmin Aum & Sang Yoon (Tim) Lee & Yongseok Shin, 2018. "Computerizing Industries and Routinizing Jobs: Explaining Trends in Aggregate Productivity," NBER Working Papers 24357, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:24357
    Note: EFG PR
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w24357.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Enghin Atalay, 2017. "How Important Are Sectoral Shocks?," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(4), pages 254-280, October.
    2. Brent Neiman, 2014. "The Global Decline of the Labor Share," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 61-103.
    3. Sangmin Aum & Sang Yoon (Tim) Lee & Yongseok Shin, 2017. "Industrial and Occupational Employment Changes During the Great Recession," Review, Federal Reserve Bank of St. Louis, vol. 99(4), pages 307-317.
    4. David M. Byrne & John G. Fernald & Marshall B. Reinsdorf, 2016. "Does the United States Have a Productivity Slowdown or a Measurement Problem?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(1 (Spring), pages 109-182.
    5. Daron Acemoglu & David Autor & David Dorn & Gordon H. Hanson & Brendan Price, 2014. "Return of the Solow Paradox? IT, Productivity, and Employment in US Manufacturing," American Economic Review, American Economic Association, vol. 104(5), pages 394-399, May.
    6. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    7. Dongya Koh & Raül Santaeulàlia‐Llopis & Yu Zheng, 2020. "Labor Share Decline and Intellectual Property Products Capital," Econometrica, Econometric Society, vol. 88(6), pages 2609-2628, November.
    8. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    9. L. Rachel Ngai & Christopher A. Pissarides, 2007. "Structural Change in a Multisector Model of Growth," American Economic Review, American Economic Association, vol. 97(1), pages 429-443, March.
    10. Chad Syverson, 2017. "Challenges to Mismeasurement Explanations for the US Productivity Slowdown," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 165-186, Spring.
    11. Lee, Tim & Shin, Yongseok, 2017. "Horizonatal and Vertical Polarization: Task-Specific Technological Change in a Multi-Sector Economy," TSE Working Papers 17-800, Toulouse School of Economics (TSE).
    12. Cortes, Guido Matias & Jaimovich, Nir & Siu, Henry E., 2017. "Disappearing routine jobs: Who, how, and why?," Journal of Monetary Economics, Elsevier, vol. 91(C), pages 69-87.
    13. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, September.
    14. Valentinyi, Akos & Herrendorf, Berthold & Duernecker, Georg, 2017. "Structural Change within the Service Sector and the Future of Baumol's Disease," CEPR Discussion Papers 12467, C.E.P.R. Discussion Papers.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. 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.
    2. Bárány, Zsófia L. & Siegel, Christian, 2020. "Biased technological change and employment reallocation," Labour Economics, Elsevier, vol. 67(C).
    3. Ali Sen, 2024. "Structural Change at a Disaggregated Level: Sectoral Heterogeneity Matters," Working Papers 048, The Productivity Institute.
    4. L. Rachel Ngai & Orhun Sevinc, 2020. "A Multisector Perspective on Wage Stagnation," Discussion Papers 2026, Centre for Macroeconomics (CFM).
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Werner Pena & Christian Siegel, 2023. "Routine-biased technical change, structure of employment, and cross-country income differences," Studies in Economics 2301, School of Economics, University of Kent.
    18. 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.
    19. 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.
    20. 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.
    21. Chen, Chaoran, 2020. "Capital-skill complementarity, sectoral labor productivity, and structural transformation," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    22. 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.
    23. 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).
    24. 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.).
    25. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Gallipoli, Giovanni & Makridis, Christos A., 2018. "Structural transformation and the rise of information technology," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 91-110.
    3. Maya Eden & Paul Gaggl, 2018. "On the Welfare Implications of Automation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 29, pages 15-43, July.
    4. Ian Goldin & Pantelis Koutroumpis & François Lafond & Julian Winkler, 2024. "Why Is Productivity Slowing Down?," Journal of Economic Literature, American Economic Association, vol. 62(1), pages 196-268, March.
    5. Anderton, Robert & Jarvis, Valerie & Labhard, Vincent & Morgan, Julian & Petroulakis, Filippos & Vivian, Lara, 2020. "Virtually everywhere? Digitalisation and the euro area and EU economies," Occasional Paper Series 244, European Central Bank.
    6. Andrew Foerster & Andreas Hornstein & Pierre-Daniel Sarte & Mark W. Watson, 2019. "Aggregate Implications of Changing Sectoral Trends," NBER Working Papers 25867, National Bureau of Economic Research, Inc.
    7. Bárány, Zsófia L. & Siegel, Christian, 2020. "Biased technological change and employment reallocation," Labour Economics, Elsevier, vol. 67(C).
    8. David R Baqaee & Ariel Burstein, 2023. "Welfare and Output With Income Effects and Taste Shocks," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(2), pages 769-834.
    9. David Rezza Baqaee & Emmanuel Farhi, 2020. "Productivity and Misallocation in General Equilibrium," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(1), pages 105-163.
    10. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    11. Capello, Roberta & Lenzi, Camilla & Perucca, Giovanni, 2022. "The modern Solow paradox. In search for explanations," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 166-180.
    12. 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.
    13. Eeckhout, Jan & Hedtrich, Christoph & Pinheiro, Roberto, 2021. "IT and Urban Polarization," CEPR Discussion Papers 16540, C.E.P.R. Discussion Papers.
    14. Andrew T. Foerster & Andreas Hornstein & Pierre-Daniel G. Sarte & Mark W. Watson, 2022. "Aggregate Implications of Changing Sectoral Trends," Journal of Political Economy, University of Chicago Press, vol. 130(12), pages 3286-3333.
    15. vom Lehn, Christian, 2020. "Labor market polarization, the decline of routine work, and technological change: A quantitative analysis," Journal of Monetary Economics, Elsevier, vol. 110(C), pages 62-80.
    16. Anna M. Stansbury & Lawrence H. Summers, 2017. "Productivity and Pay: Is the link broken?," NBER Working Papers 24165, National Bureau of Economic Research, Inc.
    17. 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.
    18. Mr. Gee Hee Hong & Zsoka Koczan & Weicheng Lian & Mr. Malhar S Nabar, 2018. "More Slack than Meets the Eye? Recent Wage Dynamics in Advanced Economies," IMF Working Papers 2018/050, International Monetary Fund.
    19. Arvai Kai & Mann Katja, 2022. "Consumption Inequality in the Digital Age," Working papers 890, Banque de France.
    20. Arvai, Kai & Mann, Katja, 2022. "Consumption Inequality in the Digital Age," VfS Annual Conference 2022 (Basel): Big Data in Economics 264001, Verein für Socialpolitik / German Economic Association.

    More about this item

    JEL classification:

    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E25 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Aggregate Factor Income Distribution
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:24357. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.