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Are they coming for us? Industrial robots and the mental health of workers

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  • Abeliansky, Ana Lucia
  • Beulmann, Matthias
  • Prettner, Klaus

Abstract

How does the increasing use of robots affect the mental health of workers? To investigate this question, we combine individual mental health data from the German Socioeconomic Panel with data on the stock of robots in 14 manufacturing sectors provided by the International Federation of Robotics for the period 2002–2018. Using mediation analysis and an instrumental variable approach, we find that higher robot intensity is associated with deteriorating mental health, an effect that is mainly driven by worries about job security and a lower sense of achievement on the job. A heterogeneity analysis reveals that higher robot intensity has particularly severe negative effects on the mental health of workers close to retirement, in low-skilled occupations and performing routine jobs. Women and men are affected similarly, as are workers of all educational levels. Our results indicate the presence of hidden (health) costs of automation that policymakers need to address.

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  • Abeliansky, Ana Lucia & Beulmann, Matthias & Prettner, Klaus, 2024. "Are they coming for us? Industrial robots and the mental health of workers," Research Policy, Elsevier, vol. 53(3).
  • Handle: RePEc:eee:respol:v:53:y:2024:i:3:s0048733324000052
    DOI: 10.1016/j.respol.2024.104956
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    as
    1. Morikawa, Masayuki, 2017. "Who Are Afraid of Losing Their Jobs to Artificial Intelligence and Robots? Evidence from a Survey," GLO Discussion Paper Series 71, Global Labor Organization (GLO).
    2. Elena Cottini & Claudio Lucifora, 2013. "Mental Health and Working Conditions in Europe," ILR Review, Cornell University, ILR School, vol. 66(4), pages 958-988, July.
    3. 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.
    4. Baumgarten, Daniel & Geishecker, Ingo & Görg, Holger, 2013. "Offshoring, tasks, and the skill-wage pattern," European Economic Review, Elsevier, vol. 61(C), pages 132-152.
    5. Srikant Devaraj & Marcus T. Wolfe & Pankaj C. Patel, 2021. "Creative destruction and regional health: evidence from the US," Journal of Evolutionary Economics, Springer, vol. 31(2), pages 573-604, April.
    6. Gihleb, Rania & Giuntella, Osea & Stella, Luca & Wang, Tianyi, 2022. "Industrial robots, Workers’ safety, and health," Labour Economics, Elsevier, vol. 78(C).
    7. Alexander Ahammer & Dominik Grübl & Rudolf Winter-Ebmer, 2020. "The health externalities of downsizing," CDL Aging, Health, Labor working papers 2020-05, The Christian Doppler (CD) Laboratory Aging, Health, and the Labor Market, Johannes Kepler University Linz, Austria.
    8. Reichert, Arndt R. & Tauchmann, Harald, 2017. "Workforce reduction, subjective job insecurity, and mental health," Journal of Economic Behavior & Organization, Elsevier, vol. 133(C), pages 187-212.
    9. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    10. Colantone, Italo & Crinò, Rosario & Ogliari, Laura, 2019. "Globalization and mental distress," Journal of International Economics, Elsevier, vol. 119(C), pages 181-207.
    11. 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.
    12. Giuntella, Osea & Rieger, Matthias & Rotunno, Lorenzo, 2020. "Weight gains from trade in foods: Evidence from Mexico," Journal of International Economics, Elsevier, vol. 122(C).
    13. Prettner, Klaus & Strulik, Holger, 2020. "Innovation, automation, and inequality: Policy challenges in the race against the machine," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 249-265.
    14. 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).
    15. Hofmann, Sarah & Mühlenweg, Andrea, 2018. "Learning intensity effects in students’ mental and physical health – Evidence from a large scale natural experiment in Germany," Economics of Education Review, Elsevier, vol. 67(C), pages 216-234.
    16. 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.
    17. Lankisch, Clemens & Prettner, Klaus & Prskawetz, Alexia, 2019. "How can robots affect wage inequality?," Economic Modelling, Elsevier, vol. 81(C), pages 161-169.
    18. Galor, Oded & Weil, David N, 1996. "The Gender Gap, Fertility, and Growth," American Economic Review, American Economic Association, vol. 86(3), pages 374-387, June.
    19. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    20. 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.
    21. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2017. "Revisiting the risk of automation," Economics Letters, Elsevier, vol. 159(C), pages 157-160.
    22. Jérôme Adda & Yarine Fawaz, 2020. "The Health Toll of Import Competition," The Economic Journal, Royal Economic Society, vol. 130(630), pages 1501-1540.
    23. Geishecker, Ingo & Riedl, Maximilian & Frijters, Paul, 2012. "Offshoring and job loss fears: An econometric analysis of individual perceptions," Labour Economics, Elsevier, vol. 19(5), pages 738-747.
    24. 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.
    25. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    26. Emiliano Sironi, 2019. "Job satisfaction as a determinant of employees’ optimal well-being in an instrumental variable approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 1721-1742, July.
    27. Joachim Frick & Nicolas Ziebarth, 2013. "Welfare-related health inequality: does the choice of measure matter?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(3), pages 431-442, June.
    28. Fjolla Kondirolli & Naveen Sunder, 2022. "Mental health effects of education," Health Economics, John Wiley & Sons, Ltd., vol. 31(S2), pages 22-39, October.
    29. Ohrnberger, Julius & Fichera, Eleonora & Sutton, Matt, 2017. "The relationship between physical and mental health: A mediation analysis," Social Science & Medicine, Elsevier, vol. 195(C), pages 42-49.
    30. Daron Acemoglu, 2002. "Directed Technical Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(4), pages 781-809.
    31. Goebel Jan & Grabka Markus M. & Liebig Stefan & Kroh Martin & Richter David & Schröder Carsten & Schupp Jürgen, 2019. "The German Socio-Economic Panel (SOEP)," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(2), pages 345-360, April.
    32. Pouwels, Babette & Siegers, Jacques & Vlasblom, Jan Dirk, 2008. "Income, working hours, and happiness," Economics Letters, Elsevier, vol. 99(1), pages 72-74, April.
    33. Schmitz, Hendrik, 2011. "Why are the unemployed in worse health? The causal effect of unemployment on health," Labour Economics, Elsevier, vol. 18(1), pages 71-78, January.
    34. Matthew Lang & T. Clay McManus & Georg Schaur, 2019. "The effects of import competition on health in the local economy," Health Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 44-56, January.
    35. Aksoy, Cevat Giray & Özcan, Berkay & Philipp, Julia, 2021. "Robots and the gender pay gap in Europe," European Economic Review, Elsevier, vol. 134(C).
    36. Henrik Schwabe & Fulvio Castellacci, 2020. "Automation, workers’ skills and job satisfaction," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-26, November.
    37. Ana L. ABELIANSKY & Eda ALGUR & David E. BLOOM & Klaus PRETTNER, 2020. "The future of work: Meeting the global challenges of demographic change and automation," International Labour Review, International Labour Organization, vol. 159(3), pages 285-306, September.
    38. Castellacci, Fulvio & Tveito, Vegard, 2018. "Internet use and well-being: A survey and a theoretical framework," Research Policy, Elsevier, vol. 47(1), pages 308-325.
    39. McManus, T. Clay & Schaur, Georg, 2016. "The effects of import competition on worker health," Journal of International Economics, Elsevier, vol. 102(C), pages 160-172.
    40. Christian Gunadi & Hanbyul Ryu, 2021. "Does the rise of robotic technology make people healthier?," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2047-2062, September.
    41. Patel, Pankaj C. & Devaraj, Srikant & Hicks, Michael J. & Wornell, Emily J., 2018. "County-level job automation risk and health: Evidence from the United States," Social Science & Medicine, Elsevier, vol. 202(C), pages 54-60.
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    Cited by:

    1. Mariia Vasiakina & Christian Dudel, 2024. "From efficiency to illness: do highly automatable jobs take a toll on health in Germany?," MPIDR Working Papers WP-2024-041, Max Planck Institute for Demographic Research, Rostock, Germany.
    2. Melanie Arntz & Sebastian Findeisen & Stephan Maurer & Oliver Schlenker, 2024. "Are we yet sick of new technologies? The unequal health effects of digitalization," CEP Discussion Papers dp1984, Centre for Economic Performance, LSE.

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    More about this item

    Keywords

    Mental health; Industrial robots; Germany; Job loss fear; Job polarization;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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