IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/17993.html

Robots and Workers: Evidence from the Netherlands

Author

Listed:
  • Acemoglu, Daron
  • Koster, Hans
  • Ozgen, Ceren

Abstract

We estimate the effects of robot adoption on firm-level and worker-level outcomes in the Netherlands using a large employer-employee panel dataset spanning 2009-2020. Our firm-level results confirm previous findings, with positive effects on value added and hours worked for robot-adopting firms and negative outcomes on competitors in the same industry. Our worker-level results show that directly-affected workers (e.g., bluecollar workers performing routine or replaceable tasks) face lower earnings and employment rates, while other workers indirectly gain from robot adoption. We also find that the negative effects from competitors' robot adoption load on directly-affected workers, while other workers benefit from this industry-level robot adoption. Overall, our results highlight the uneven effects of automation on the workforce.

Suggested Citation

  • Acemoglu, Daron & Koster, Hans & Ozgen, Ceren, 2023. "Robots and Workers: Evidence from the Netherlands," CEPR Discussion Papers 17993, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:17993
    as

    Download full text from publisher

    File URL: https://cepr.org/publications/DP17993
    Download Restriction: CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. is not listed on IDEAS
    2. Derick Almeida & Tiago Neves Sequeira, 2024. "Robots at work: New evidence with recent data," Manchester School, University of Manchester, vol. 92(6), pages 700-722, December.
    3. Deng, Liuchun & Müller, Steffen & Plümpe, Verena & Stegmaier, Jens, 2024. "Robots, occupations, and worker age: A production-unit analysis of employment," European Economic Review, Elsevier, vol. 170(C).
    4. Pilar Beneito & Maria Garcia-Vega & Oscar Vicente-Chirivella & Guillaume Wilemme, 2024. "Robots and firms’ labour search: The role of temporary work agencies," Discussion Papers 2024-02, University of Nottingham, GEP.
    5. Luo, Wei & Tang, Lixin & Yang, Yaxin & Zou, Xianqiang, 2025. "Robots as guardians: Industrial automation and workplace safety in China," Journal of Development Economics, Elsevier, vol. 172(C).
    6. Sebastian Findeisen & Wolfgang Dauth & Oliver Schlenker, 2025. "Organized Labor Versus Robots? Co-Determination in Times of Automation," EconPol Forum, CESifo, vol. 26(04), pages 76-81, October.
    7. Xin, Baogui & Ye, Xiaopu, 2024. "Robotics applications, inclusive employment and income disparity," Technology in Society, Elsevier, vol. 78(C).
    8. Brzozowski, Michał & Siwińska-Gorzelak, Joanna, 2024. "Did robots make wages less responsive to unemployment?," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    9. Michael Kilumelume & Justice Tei Mensah & Aimable Nsabimana & Kunal Sen, 2025. "Automation, firms, and workers: Evidence from South Africa," WIDER Working Paper Series wp-2025-61, World Institute for Development Economic Research (UNU-WIDER).
    10. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2025. "What workers and robots do: An activity-based analysis of the impact of robotization on changes in local employment," Research Policy, Elsevier, vol. 54(1).
    11. Winston LeCroy, Craig & Morrill Nisbet, Kristin & Schmidt, Michele C., 2024. "Randomized controlled trial of the parents as teacher home visiting program: Outcomes of the intervention on families at six month follow-up," Children and Youth Services Review, Elsevier, vol. 165(C).
    12. Mauro Caselli & Edwin Fourrier-Nicolai & Andrea Fracasso & Sergio Scicchitano, 2024. "Digital Technologies and Firms’ Employment and Training," CESifo Working Paper Series 11056, CESifo.
    13. Bisio, Laura & Cuzzola, Angelo & Grazzi, Marco & Moschella, Daniele, 2025. "The dynamics of automation adoption: Firm-level heterogeneity and aggregate employment effects," European Economic Review, Elsevier, vol. 173(C).
    14. Ryoo, Yuhosua & Jeon, Yongwoog Andy & Kim, WooJin, 2024. "The blame shift: Robot service failures hold service firms more accountable," Journal of Business Research, Elsevier, vol. 171(C).
    15. Chen, Kaiming & Chen, Xiaoqian & Wang, Zhan-ao & Zvarych, Roman, 2024. "Does artificial intelligence promote common prosperity within enterprises? —Evidence from Chinese-listed companies in the service industry," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    16. Teng, Lefa & Sun, Chuluo & Chen, Yifei & Lever, Michael W. & Foti, Lianne, 2024. "Partner or servant? The influence of robot role positioning on consumers’ brand evaluations," Journal of Business Research, Elsevier, vol. 180(C).
    17. Yawei Xue & Yuchen Lu & Chunqian Zhu, 2025. "Research on the Mechanism of Intelligent Transformation of Enterprises Driven by Targeted Talent Introduction Policies: Taking New-Energy-Automobile Enterprises as an Example," Sustainability, MDPI, vol. 17(8), pages 1-24, April.
    18. Zhou, Yuwen & Shi, Xin, 2025. "How does digital technology adoption affect corporate employment? Evidence from China," Economic Modelling, Elsevier, vol. 147(C).
    19. Daiji Kawaguchi & Tetsuji Okazaki & Xuanli Zhu, 2025. "Factory Automation, Labor Demand, and Market Dynamics," CIRJE F-Series CIRJE-F-1249, CIRJE, Faculty of Economics, University of Tokyo.

    More about this item

    Keywords

    ;

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • 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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cpr:ceprdp:17993. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://www.cepr.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.