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The effect of automation technology on workers’ training participation

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  • Heß, Pascal
  • Janssen, Simon
  • Leber, Ute

Abstract

We use detailed survey data to study the influence of automation technology on workers’ training participation. We find that workers who are exposed to substitution by automation are 15 percentage points less likely to participate in training than those who are not exposed to it. However, workers who leave occupations that are highly exposed to automation increase their training participation, while those who enter them train consistently less. The automation training gap is particularly pronounced for medium-skilled and male workers, and is largely driven by the lack of ICT training and training for soft skills. Moreover, workers in exposed occupations receive less financial and nonfinancial training support from their firms, and the training gap is almost entirely related to a gap in firm-financed training courses.

Suggested Citation

  • Heß, Pascal & Janssen, Simon & Leber, Ute, 2023. "The effect of automation technology on workers’ training participation," Economics of Education Review, Elsevier, vol. 96(C).
    • Handle: RePEc:eee:ecoedu:v:96:y:2023:i:c:s0272775723000857
    DOI: 10.1016/j.econedurev.2023.102438
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    References listed on IDEAS

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    1. 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.
    2. Hidalgo, Diana & Oosterbeek, Hessel & Webbink, Dinand, 2014. "The impact of training vouchers on low-skilled workers," Labour Economics, Elsevier, vol. 31(C), pages 117-128.
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    Citations

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    Cited by:

    1. Nikolova, Milena & Lepinteur, Anthony & Cnossen, Femke, 2023. "Just another cog in the machine? A worker-level view of robotization and tasks," GLO Discussion Paper Series 1350, Global Labor Organization (GLO).
    2. Cattaneo, Maria Alejandra & Gschwendt, Christian & Wolter, Stefan C., 2024. "How Scary Is the Risk of Automation? Evidence from a Large Scale Survey Experiment," IZA Discussion Papers 17097, Institute of Labor Economics (IZA).
    3. Yang, Jia & Pei, Yu & Qiang, Wei, 2024. "The impact of automation on human capital investment," Finance Research Letters, Elsevier, vol. 62(PB).
    4. Pardesi, Mantej, 2024. "Productivity convergence and firm’s training strategy," ROA Research Memorandum 003, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    5. Wei, Xiahai & Xu, Jiawei & Cao, Hui, 2024. "Production automation upgrades and the mystery of workers' overwork: Evidence from a manufacturing employer-employee matching survey in China," Journal of Asian Economics, Elsevier, vol. 91(C).
    6. Pardesi, Mantej, 2024. "Productivity Convergence and Firm’s Training Strategy," Research Memorandum 003, Maastricht University, Graduate School of Business and Economics (GSBE).
    7. Christine Dauth & Julia Lang, 2024. "Continuing vocational training in times of economic uncertainty: an event-study analysis in real time," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 58(1), pages 1-23, December.
    8. Oliver Falck & Yuchen Guo & Christina Langer & Valentin Lindlacher & Simon Wiederhold, 2024. "Training, Automation, and Wages: International Worker-Level Evidence," CESifo Working Paper Series 11533, CESifo.
    9. Maria A. Cattaneo & Christian Gschwendt & Stefan C. Wolter, 2024. "How Scary is the Risk of Automation? Evidence from a Large Survey Experiment," Economics of Education Working Paper Series 0213, University of Zurich, Department of Business Administration (IBW).
    10. Klauser, Roman & Tamm, Marcus, 2023. "Technological Change and Returns to Training," IZA Discussion Papers 16659, Institute of Labor Economics (IZA).
    11. Piotr Lewandowski & Wojciech Szymczak, 2024. "Automation, Trade Unions and Involuntary Atypical Employment," IBS Working Papers 02/2024, Instytut Badan Strukturalnych.

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    More about this item

    Keywords

    Further training; Technological change; Firm support;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • M53 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Training
    • 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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