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Organized Labor Versus Robots? Evidence from Micro Data

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  • Findeisen, Sebastian
  • Dauth, Wolfgang
  • Schlenker, Oliver

Abstract

New technologies drive productivity growth but the distribution of gains might be unequal and is mediated by labor market institutions. We study the role that organized labor plays in shielding incumbent workers from the potential negative consequences of automation. Combining German individual-level administrative records with information on plant-level robot adoption and the presence of works councils, a form of shop-floor worker representation, we find positive moderating effects of works councils on retention for incumbent workers during automation events. Separations for workers with replaceable task profiles are significantly reduced. When labor markets are tight and replacement costs are high for firms, incumbent workers become more valuable and the effects of works councils during automation events start to disappear. Older workers, who find it more challenging to reallocate to new employers, benefit the most from organized labor in terms of wages employment. Concerning mechanisms we find that robot-adopting plants with works councils employ not more but higher quality robots. They also provide more training during robot adoption and have higher productivity growth thereafter.

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  • Findeisen, Sebastian & Dauth, Wolfgang & Schlenker, Oliver, 2024. "Organized Labor Versus Robots? Evidence from Micro Data," CEPR Discussion Papers 19192, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:19192
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    1. 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.
    2. Daron Acemoglu & Simon Johnson, 2024. "Learning from Ricardo and Thompson: Machinery and Labor in the Early Industrial Revolution, and in the Age of AI," NBER Working Papers 32416, National Bureau of Economic Research, Inc.
    3. David Card & Jörg Heining & Patrick Kline, 2013. "Workplace Heterogeneity and the Rise of West German Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(3), pages 967-1015.
    4. Andreas Olden & Jarle Møen, 2022. "The triple difference estimator [Semiparametric difference-in-differences estimators]," The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 531-553.
    5. Simon Jäger & Shakked Noy & Benjamin Schoefer, 2022. "The German Model of Industrial Relations: Balancing Flexibility and Collective Action," Journal of Economic Perspectives, American Economic Association, vol. 36(4), pages 53-80, Fall.
    6. David Autor, 2024. "Applying AI to Rebuild Middle Class Jobs," NBER Working Papers 32140, National Bureau of Economic Research, Inc.
    7. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    8. Johannes F. Schmieder & Till von Wachter & Jörg Heining, 2023. "The Costs of Job Displacement over the Business Cycle and Its Sources: Evidence from Germany," American Economic Review, American Economic Association, vol. 113(5), pages 1208-1254, May.
    9. Steffen Mueller & Georg Neuschaeffer, 2021. "Worker Participation in Decision‐making, Worker Sorting, and Firm Performance," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 60(4), pages 436-478, October.
    10. Robert J. Gordon, 2016. "Perspectives on The Rise and Fall of American Growth," American Economic Review, American Economic Association, vol. 106(5), pages 72-76, May.
    11. Jens Stegmaier, 2012. "Effects of Works Councils on Firm-Provided Further Training in Germany," British Journal of Industrial Relations, London School of Economics, vol. 50(4), pages 667-689, December.
    12. 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.
    13. Anna Stansbury & Lawrence H. Summers, 2020. "The Declining Worker Power Hypothesis: An Explanation for the Recent Evolution of the American Economy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(1 (Spring), pages 1-96.
    14. 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.
    15. Jäger, Simon & Heining, Jörg, 2019. "How Substitutable Are Workers? Evidence from Worker Deaths," MPRA Paper 109757, University Library of Munich, Germany, revised 01 Jan 2019.
    16. Bellmann, Lisa & Lochner, Benjamin & Seth, Stefan & Wolter, Stefanie, 2020. "AKM effects for German labour market data," FDZ Methodenreport 202001_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    17. Michael Koch & Ilya Manuylov & Marcel Smolka, 2021. "Robots and Firms," The Economic Journal, Royal Economic Society, vol. 131(638), pages 2553-2584.
    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. Steffen Mueller, 2012. "Works Councils and Establishment Productivity," ILR Review, Cornell University, ILR School, vol. 65(4), pages 880-898, October.
    20. Patrick Kline & Neviana Petkova & Heidi Williams & Owen Zidar, 2019. "Who Profits from Patents? Rent-Sharing at Innovative Firms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1343-1404.
    21. 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.
    22. John T. Addison, 2009. "The Economics of Codetermination," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-10424-2, March.
    23. repec:iab:iabfme:202001(en is not listed on IDEAS
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    More about this item

    JEL classification:

    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • J53 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Labor-Management Relations; Industrial Jurisprudence
    • 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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