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Automation and sectoral reallocation

Author

Listed:
  • Dennis C. Hutschenreiter

    (Universitat Autònoma de Barcelona and Barcelona GSE)

  • Tommaso Santini

    (Universitat Autònoma de Barcelona and Barcelona GSE)

  • Eugenia Vella

    (Athens University of Economics and Business and Fundació MOVE)

Abstract

Empirical evidence in Dauth et al. (J Eur Econ Assoc, 2021) suggests that industrial robot adoption in Germany has led to a sectoral reallocation of employment from manufacturing to services, leaving total employment unaffected. We rationalize this evidence through the lens of a general equilibrium model with two sectors, matching frictions and endogenous participation. Automation induces firms to create fewer vacancies and job seekers to search less in the automatable sector (manufacturing). The service sector expands due to the sectoral complementarity in the production of the final good and a positive wealth effect for the household. Analysis across steady states shows that the reduction in manufacturing employment can be offset by the increase in service employment. The model can also replicate the magnitude of the decline in the ratio of manufacturing employment to service employment in Germany between 1994 and 2014.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:series:v:13:y:2022:i:1:d:10.1007_s13209-021-00240-w
    DOI: 10.1007/s13209-021-00240-w
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    References listed on IDEAS

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    1. 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.
    2. Juan J. Dolado & Gergő Motyovszki & Evi Pappa, 2021. "Monetary Policy and Inequality under Labor Market Frictions and Capital-Skill Complementarity," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(2), pages 292-332, April.
    3. Alois Kneip & Monika Merz & Lidia Storjohann, 2020. "Aggregation and Labor Supply Elasticities [Do Reservation Wages Really Decline? Some International Evidence on the Determinants of Reservation Wages]," Journal of the European Economic Association, European Economic Association, vol. 18(5), pages 2315-2358.
    4. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    5. 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.
    6. Hansen, Lars Peter & Singleton, Kenneth J, 1983. "Stochastic Consumption, Risk Aversion, and the Temporal Behavior of Asset Returns," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 249-265, April.
    7. Morten O. Ravn, 2008. "The Consumption-Tightness Puzzle," NBER Chapters, in: NBER International Seminar on Macroeconomics 2006, pages 9-63, National Bureau of Economic Research, Inc.
    8. Zainab Iftikhar & Anna Zaharieva, 2019. "General equilibrium effects of immigration in Germany: Search and matching approach," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 31, pages 245-276, January.
    9. Dolado, Juan J & Jimeno, Juan Francisco, 2020. "The Spanish Labour Market at the Crossroads: Covid†19 meets the Megatrends," CEPR Discussion Papers 15452, C.E.P.R. Discussion Papers.
    10. Òscar Jordà & Katharina Knoll & Dmitry Kuvshinov & Moritz Schularick & Alan M Taylor, 2019. "The Rate of Return on Everything, 1870–2015," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1225-1298.
    11. Edgar Cruz & Xavier Raurich, 2020. "Leisure time and the sectoral composition of employment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 38, pages 198-219, October.
    12. Miguel León-Ledesma & Alessio Moro, 2020. "The Rise of Services and Balanced Growth in Theory and Data," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(4), pages 109-146, October.
    13. 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.
    14. Wolfgang Dauth & Sebastian Findeisen & Jens Suedekum & Nicole Woessner, 2021. "The Adjustment of Labor Markets to Robots [“Skills, Tasks and Technologies: Implications for Employment and Earnings]," Journal of the European Economic Association, European Economic Association, vol. 19(6), pages 3104-3153.
    15. Ezra Oberfield & Devesh Raval, 2021. "Micro Data and Macro Technology," Econometrica, Econometric Society, vol. 89(2), pages 703-732, March.
    16. Massimo Anelli & Italo Colantone & Piero Stanig, 2019. "We Were The Robots: Automation and Voting Behavior in Western Europe," RF Berlin - CReAM Discussion Paper Series 1917, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    17. Edgar Cruz & Xavier Raurich, 2020. "Leisure time and the sectoral composition of employment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 38, pages 198-219, October.
    18. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    19. Herrendorf, Berthold & Rogerson, Richard & Valentinyi, Ákos, 2014. "Growth and Structural Transformation," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 6, pages 855-941, Elsevier.
    20. Berg, Andrew & Buffie, Edward F. & Zanna, Luis-Felipe, 2018. "Should we fear the robot revolution? (The correct answer is yes)," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 117-148.
    21. L. Rachel Ngai & Christopher A. Pissarides, 2008. "Trends in Hours and Economic Growth," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(2), pages 239-256, April.
    22. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    23. Grigoli, Francesco & Koczan, Zsoka & Topalova, Petia, 2020. "Automation and labor force participation in advanced economies: Macro and micro evidence," European Economic Review, Elsevier, vol. 126(C).
    24. Jaimovich, Nir & Saporta-Eksten, Itay & Siu, Henry & Yedid-Levi, Yaniv, 2021. "The macroeconomics of automation: Data, theory, and policy analysis," Journal of Monetary Economics, Elsevier, vol. 122(C), pages 1-16.
    25. Michael Knoblach & Martin Roessler & Patrick Zwerschke, 2020. "The Elasticity of Substitution Between Capital and Labour in the US Economy: A Meta‐Regression Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(1), pages 62-82, February.
    26. Dolado, Juan J. & Felgueroso, Florentino & Jimeno, Juan F., 2020. "The Spanish Labour Market at the Crossroads: COVID-19 Meets the Megatrends," IZA Discussion Papers 13869, Institute of Labor Economics (IZA).
    27. Jeffrey D. Sachs & Seth G. Benzell & Guillermo LaGarda, 2015. "Robots: Curse or Blessing? A Basic Framework," NBER Working Papers 21091, National Bureau of Economic Research, Inc.
    28. Drago Bergholt & Francesco Furlanetto & Nicolò Maffei-Faccioli, 2022. "The Decline of the Labor Share: New Empirical Evidence," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(3), pages 163-198, July.
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    More about this item

    Keywords

    Automation; Manufacturing; Services; Sectoral reallocation; Participation; Matching frictions; Vacancy creation; Productivity;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand

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