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Robots, occupations, and worker age: A production-unit analysis of employment

Author

Listed:
  • Deng, Liuchun
  • Müller, Steffen
  • Plümpe, Verena
  • Stegmaier, Jens

Abstract

We analyse the impact of robot adoption on employment composition using novel micro data on robot use in German manufacturing plants linked with social security records and data on job tasks. Our task-based model predicts more favourable employment effects for the least routine-task intensive occupations and for young workers, with the latter being better at adapting to change. An event-study analysis of robot adoption confirms both predictions. We do not find adverse employment effects for any occupational or age group, but churning among low-skilled workers rises sharply. We conclude that the displacement effect of robots is occupation biased but age neutral, whereas the reinstatement effect is age biased and benefits young workers most.

Suggested Citation

  • Deng, Liuchun & Müller, Steffen & Plümpe, Verena & Stegmaier, Jens, 2023. "Robots, occupations, and worker age: A production-unit analysis of employment," IWH Discussion Papers 5/2023, Halle Institute for Economic Research (IWH).
    • Handle: RePEc:zbw:iwhdps:52023
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    1. MacKinnon, James G & Magee, Lonnie, 1990. "Transforming the Dependent Variable in Regression Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 31(2), pages 315-339, May.
    2. Philippe Aghion & Céline Antonin & Simon Bunel & Xavier Jaravel, 2022. "Modern manufacturing capital, labor demand, and product market dynamics: Evidence from France," SciencePo Working papers Main hal-03943312, HAL.
    3. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    4. Daron Acemoglu & Gary W. Anderson & David N. Beede & Catherine Buffington & Eric E. Childress & Emin Dinlersoz & Lucia S. Foster & Nathan Goldschlag & John C. Haltiwanger & Zachary Kroff & Pascual Res, 2022. "Automation and the Workforce: A Firm-Level View from the 2019 Annual Business Survey," NBER Chapters, in: Technology, Productivity, and Economic Growth, National Bureau of Economic Research, Inc.
    5. Acemoglu, Daron & Koster, Hans R.A. & Ozgen, Ceren, 2023. "Robots and Workers: Evidence from the Netherlands," IZA Discussion Papers 15997, Institute of Labor Economics (IZA).
    6. 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.
    7. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    8. Wolfgang Dauth & Sebastian Findeisen & Jens Suedekum, 2014. "The Rise Of The East And The Far East: German Labor Markets And Trade Integration," Journal of the European Economic Association, European Economic Association, vol. 12(6), pages 1643-1675, December.
    9. David Autor & Caroline Chin & Anna Salomons & Bryan Seegmiller, 2022. "New frontiers: The origins and content of new work, 1940-2018," POID Working Papers 049, Centre for Economic Performance, LSE.
    10. Alexandra Spitz-Oener, 2006. "Technical Change, Job Tasks, and Rising Educational Demands: Looking outside the Wage Structure," Journal of Labor Economics, University of Chicago Press, vol. 24(2), pages 235-270, April.
    11. Barth, Erling & Roed, Marianne & Schone, Pal & Umblijs, Janis, 2020. "How Robots Change Within-Firm Wage Inequality," IZA Discussion Papers 13605, Institute of Labor Economics (IZA).
    12. P. Aubert & Eve Caroli & Muriel Roger, 2006. "New technologies, workplace organisation and the age structure of the workforce [Nouvelles technologies et nouvelles formes d'organisation du travail : quelles conséquences pour l'emploi des salari," Post-Print hal-02656040, HAL.
    13. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    14. Patrick Aubert & Eve Caroli & Muriel Roger, 2006. "New technologies, organisation and age: firm-level evidence," Economic Journal, Royal Economic Society, vol. 116(509), pages 73-93, February.
    15. repec:dau:papers:123456789/10051 is not listed on IDEAS
    16. Bartel, Ann P & Sicherman, Nachum, 1993. "Technological Change and Retirement Decisions of Older Workers," Journal of Labor Economics, University of Chicago Press, vol. 11(1), pages 162-183, January.
    17. Deng, Liuchun & Plümpe, Verena & Stegmaier, Jens, 2021. "Robot adoption at German plants," IWH Discussion Papers 19/2020, Halle Institute for Economic Research (IWH), revised 2021.
    18. repec:iab:iabfda:202105(en is not listed on IDEAS
    19. Chari, V V & Hopenhayn, Hugo, 1991. "Vintage Human Capital, Growth, and the Diffusion of New Technology," Journal of Political Economy, University of Chicago Press, vol. 99(6), pages 1142-1165, December.
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    More about this item

    Keywords

    automation; employment; industrial robots; occupation; worker age; workforce composition;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • 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

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