IDEAS home Printed from https://ideas.repec.org/p/fip/fedpwp/94680.html
   My bibliography  Save this paper

Understanding Growth Through Automation: The Neoclassical Perspective

Author

Listed:
  • Lukasz A. Drozd
  • Mathieu Taschereau-Dumouchel
  • Marina Tavares

Abstract

We study how advancements in automation technology affect the division of aggregate income between capital and labor in the context of long-run growth. Our analysis focuses on the fundamental trade-off between the labor-displacing effect of automation and its positive productivity effect in an elementary task-based framework featuring a schedule of automation prices across tasks linked to the state of technology. We obtain general conditions for the automation technology and technical change driving automation to be labor-share displacing. We identify a unique task technology that reconciles the Kaldor facts with the presence of automation along the balanced growth path. We show that this technology aggregates to the Cobb–Douglas production function — thus providing novel task-based microfoundations for this workhorse functional form. We employ our theory to study the connection between the recent declines in the labor share and the unique nature of the current, IT-powered wave of automation.

Suggested Citation

  • Lukasz A. Drozd & Mathieu Taschereau-Dumouchel & Marina Tavares, 2022. "Understanding Growth Through Automation: The Neoclassical Perspective," Working Papers 22-25, Federal Reserve Bank of Philadelphia.
  • Handle: RePEc:fip:fedpwp:94680
    DOI: 10.21799/frbp.wp.2022.25
    as

    Download full text from publisher

    File URL: https://www.philadelphiafed.org/-/media/frbp/assets/working-papers/2022/wp22-25.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.21799/frbp.wp.2022.25?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Charles I. Jones, 2021. "Recipes and Economic Growth: A Combinatorial March Down an Exponential Tail," NBER Working Papers 28340, National Bureau of Economic Research, Inc.
    3. Xavier Gabaix, 2009. "Power Laws in Economics and Finance," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 255-294, May.
    4. Didier Sornette, 2002. "Mechanism For Powerlaws Without Self-Organization," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 133-136.
    Full references (including those not matched with items on IDEAS)

    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. Jingong Huang, 2018. "Technology Network, Innovation And Growth," 2018 Meeting Papers 178, Society for Economic Dynamics.
    2. Tang, Pan & Zhang, Ying & Baaquie, Belal E. & Podobnik, Boris, 2016. "Classical convergence versus Zipf rank approach: Evidence from China’s local-level data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 246-253.
    3. Fernandes, Leonardo H.S. & de Araújo, Fernando H.A. & Silva, Igor E.M. & Neto, Jusie S.P., 2021. "Macroeconophysics indicator of economic efficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    4. Zigrand, Jean-Pierre, 2014. "Systems and systemic risk in finance and economics," LSE Research Online Documents on Economics 61220, London School of Economics and Political Science, LSE Library.
    5. Jie Cai & Nan Li, 2019. "Growth Through Inter-sectoral Knowledge Linkages," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(5), pages 1827-1866.
    6. Thomas Philippon, 2022. "Additive Growth," NBER Working Papers 29950, National Bureau of Economic Research, Inc.
    7. Aoki, Masanao & Hawkins, Raymond J., 2010. "Non-self-averaging and the statistical mechanics of endogenous macroeconomic fluctuations," Economic Modelling, Elsevier, vol. 27(6), pages 1543-1546, November.
    8. Jingong Huang, 2017. "Technology Network Innovation and Distribution," 2017 Meeting Papers 24, Society for Economic Dynamics.
    9. Rao, B. Bhaskara, 2010. "Estimates of the steady state growth rates for selected Asian countries with an extended Solow model," Economic Modelling, Elsevier, vol. 27(1), pages 46-53, January.
    10. Beatrix Paal & Bruce D. Smith, 2013. "The sub-optimality of the Friedman rule and the optimum quantity of money," Annals of Economics and Finance, Society for AEF, vol. 14(2), pages 911-948, November.
    11. Prof. Dr. Adem KALCA & Resc. Assist. Atakan DURMAZ, 2012. "Diaspora As The Instrument Of Humane Capital," International Journal of Business and Social Research, LAR Center Press, vol. 2(5), pages 94-104, October.
    12. Jung-Suk Yu & M. Kabir Hassan & Abdullah Mamun & Abul Hassan, 2014. "Financial Sectors Reform and Economic Growth in Morocco: An Empirical Analysis," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 13(1), pages 69-102, April.
    13. repec:zbw:rwidps:0030 is not listed on IDEAS
    14. Raouf Boucekkine & Fernando Del Río & Omar Licandro, 2003. "Embodied Technological Change, Learning‐by‐doing and the Productivity Slowdown," Scandinavian Journal of Economics, Wiley Blackwell, vol. 105(1), pages 87-98, March.
    15. Abida Hafeez & Karim Bux Shah Syed & Fiza Qureshi, 2019. "Exploring the Relationship between Government R & D Expenditures and Economic Growth in a Global Perspective: A PMG Estimation Approach," International Business Research, Canadian Center of Science and Education, vol. 12(4), pages 163-174, April.
    16. repec:ilo:ilowps:366690 is not listed on IDEAS
    17. Heijs, Joost, 2003. "Freerider behaviour and the public finance of R&D activities in enterprises: the case of the Spanish low interest credits for R&D," Research Policy, Elsevier, vol. 32(3), pages 445-461, March.
    18. Boucekkine, Raouf & del Rio, Fernando & Licandro, Omar, 2005. "Obsolescence and modernization in the growth process," Journal of Development Economics, Elsevier, vol. 77(1), pages 153-171, June.
    19. Abduraimova, Kumushoy, 2022. "Contagion and tail risk in complex financial networks," Journal of Banking & Finance, Elsevier, vol. 143(C).
    20. Kawalec Paweł, 2020. "The dynamics of theories of economic growth: An impact of Unified Growth Theory," Economics and Business Review, Sciendo, vol. 6(2), pages 19-44, June.
    21. Kar, Sabyasachi & Pritchett, Lant & Raihan, Selim & Sen, Kunal, 2013. "Looking for a break: Identifying transitions in growth regimes," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 151-166.
    22. Iamsiraroj, Sasi, 2016. "The foreign direct investment–economic growth nexus," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 116-133.

    More about this item

    Keywords

    Automation; labor share; Uzawa’s theorem; Cobb-Douglas production function; capital-augmenting technological progress; balanced growth;
    All these keywords.

    JEL classification:

    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E25 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Aggregate Factor Income Distribution
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

    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:fip:fedpwp:94680. 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: Beth Paul (email available below). General contact details of provider: https://edirc.repec.org/data/frbphus.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.