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

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  • 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. Daron Acemoglu & Claire Lelarge & Pascual Restrepo, 2020. "Competing with Robots: Firm-Level Evidence from France," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 383-388, May.
    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. Manasi Deshpande & Yue Li, 2019. "Who Is Screened Out? Application Costs and the Targeting of Disability Programs," American Economic Journal: Economic Policy, American Economic Association, vol. 11(4), pages 213-248, November.
    6. Itzik Fadlon & Torben Heien Nielsen, 2019. "Family Health Behaviors," American Economic Review, American Economic Association, vol. 109(9), pages 3162-3191, September.
    7. 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, 2024. "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.
    8. 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).
    9. 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.
    10. Daron Acemoglu & Jörn-Steffen Pischke, 1998. "Why Do Firms Train? Theory and Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(1), pages 79-119.
    11. Hirvonen, Johannes & Stenhammar, Aapo & Tuhkuri, Joonas, 2022. "New Evidence on the Effect of Technology on Employment and Skill Demand," ETLA Working Papers 93, The Research Institute of the Finnish Economy.
    12. Daisuke Adachi & Daiji Kawaguchi & Yukiko U. Saito, 2024. "Robots and Employment: Evidence from Japan, 1978–2017," Journal of Labor Economics, University of Chicago Press, vol. 42(2), pages 591-634.
    13. Plümpe Verena & Stegmaier Jens, 2023. "Micro Data on Robots from the IAB Establishment Panel," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 243(3-4), pages 397-413, June.
    14. David Autor & Caroline Chin & Anna Salomons & Bryan Seegmiller, 2024. "New Frontiers: The Origins and Content of New Work, 1940–2018," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(3), pages 1399-1465.
    15. 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.
    16. 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.
    17. Daron Acemoglu & Pascual Restrepo, 2020. "Unpacking Skill Bias: Automation and New Tasks," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 356-361, May.
    18. Alessandra Bonfiglioli & Rosario Crinò & Harald Fadinger & Gino Gancia, 2024. "Robot Imports and Firm-Level Outcomes," The Economic Journal, Royal Economic Society, vol. 134(664), pages 3428-3444.
    19. 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.
    20. John Mullahy & Edward C. Norton, 2022. "Why Transform Y? A Critical Assessment of Dependent-Variable Transformations in Regression Models for Skewed and Sometimes-Zero Outcomes," NBER Working Papers 30735, National Bureau of Economic Research, Inc.
    21. Taylor, Alan M. & Dube, Arindrajit & Girardi, Daniele & Jordà , Òscar, 2023. "A Local Projections Approach to Difference-in-Differences Event Studies," CEPR Discussion Papers 18141, C.E.P.R. Discussion Papers.
    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. 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.
    24. Michele Battisti & Christian Dustmann & Uta Schönberg, 2023. "Technological and Organizational Change and the Careers of Workers," Journal of the European Economic Association, European Economic Association, vol. 21(4), pages 1551-1594.
    25. 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).
    26. Aksoy, Cevat Giray & Özcan, Berkay & Philipp, Julia, 2021. "Robots and the gender pay gap in Europe," European Economic Review, Elsevier, vol. 134(C).
    27. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    28. 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.
    29. de Vries, Gaaitzen J. & Gentile, Elisabetta & Miroudot, Sébastien & Wacker, Konstantin M., 2020. "The rise of robots and the fall of routine jobs," Labour Economics, Elsevier, vol. 66(C).
    30. Jiafeng Chen & Jonathan Roth, 2024. "Logs with Zeros? Some Problems and Solutions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(2), pages 891-936.
    31. Daron Acemoglu & Pascual Restrepo, 2022. "Demographics and Automation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 1-44.
    32. Jay Dixon & Bryan Hong & Lynn Wu, 2021. "The Robot Revolution: Managerial and Employment Consequences for Firms," Management Science, INFORMS, vol. 67(9), pages 5586-5605, September.
    33. Daron Acemoglu & Pascual Restrepo, 2022. "Tasks, Automation, and the Rise in U.S. Wage Inequality," Econometrica, Econometric Society, vol. 90(5), pages 1973-2016, September.
    34. Arindrajit Dube & Daniele Girardi & Òscar Jordà & Alan M. Taylor, 2023. "A Local Projections Approach to Difference-in-Differences," NBER Working Papers 31184, National Bureau of Economic Research, Inc.
    35. Faber, Marius, 2020. "Robots and reshoring: Evidence from Mexican labor markets," Journal of International Economics, Elsevier, vol. 127(C).
    36. Erik Brynjolfsson & Catherine Buffington & Nathan Goldschlag & J. Frank Li & Javier Miranda & Robert Seamans, 2023. "Robot Hubs: The Skewed Distribution of Robots in US Manufacturing," AEA Papers and Proceedings, American Economic Association, vol. 113, pages 215-218, May.
    37. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    38. Marc F. Bellemare & Casey J. Wichman, 2020. "Elasticities and the Inverse Hyperbolic Sine Transformation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(1), pages 50-61, February.
    39. Doruk Cengiz & Arindrajit Dube & Attila Lindner & Ben Zipperer, 2019. "The Effect of Minimum Wages on Low-Wage Jobs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1405-1454.
    40. 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.
    41. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    42. Emin Dinlersoz & Zoltan Wolf, 2024. "Automation, labor share, and productivity: plant-level evidence from U.S. manufacturing," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 33(4), pages 604-626, May.
    43. repec:dau:papers:123456789/10051 is not listed on IDEAS
    44. 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.
    45. 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.
    46. repec:iab:iabfda:202105(en is not listed on IDEAS
    47. Hirvonen, Johannes & Stenhammar, Aapo & Tuhkuri, Joonas, 2022. "Policy Brief: New Evidence on the Effect of Technology on Employment and Skill Demand," ETLA Brief 108, The Research Institute of the Finnish Economy.
    48. 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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    Cited by:

    1. Deng, Liuchun & Fujio, Minako & Lin, Xin & Ota, Rui, 2023. "Labor shortage and early robotization in Japan," Economics Letters, Elsevier, vol. 233(C).
    2. João Amador, 2024. "Robots in Portuguese Firms," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.

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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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