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Micro Data on Robots from the IAB Establishment Panel

Author

Listed:
  • Plümpe Verena

    (Halle Institute for Economic Research, Halle (Saale), Germany)

  • Stegmaier Jens

    (IAB Nuremberg, Nuremberg, Germany)

Abstract

Micro-data on robots have been very sparse in Germany so far. Consequently, a dedicated section has been introduced in the IAB Establishment Panel 2019 that includes questions on the number and type of robots used. This article describes the background and development of the survey questions, provides information on the quality of the data, possible checks and steps of data preparation. The resulting data is aggregated on industry level and compared with the frequently used robot data by the International Federation of Robotics (IFR) which contains robot supplier information on aggregate robot stocks and deliveries.

Suggested Citation

  • 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.
    • Handle: RePEc:jns:jbstat:v:243:y:2023:i:3-4:p:397-413:n:9
    DOI: 10.1515/jbnst-2022-0045
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    References listed on IDEAS

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    1. Barth, Erling & Roed, Marianne & Schone, Pal & Umblijs, Janis, 2020. "How Robots Change Within-Firm Wage Inequality," IZA Discussion Papers 13605, IZA Network @ LISER.
    2. Hong Cheng & Ruixue Jia & Dandan Li & Hongbin Li, 2019. "The Rise of Robots in China," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 71-88, Spring.
    3. 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.
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    Cited by:

    1. Deng Liuchun & Plümpe Verena & Stegmaier Jens, 2024. "Robot Adoption at German Plants," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 244(3), pages 201-235, June.
    2. Frenkel Michael & Nolte Sandra & Prantl Susanne, 2025. "Editorial: 2024 Best Paper Award," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 245(3), pages 247-249.
    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).

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    Keywords

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    JEL classification:

    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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