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Data on Digital Transformation in the German Socio-Economic Panel

Author

Listed:
  • Fedorets Alexandra

    (Deutsches Institut für Wirtschaftsforschung (DIW Berlin), Sozio-oekonomisches Panel (SOEP), Mohrenstraße 58, 10117 Berlin, Germany)

  • Kirchner Stefan

    (Institut für Soziologie, Technische Universität Berlin, Fraunhoferstraße 33-36, 10587 Berlin, Germany)

  • Adriaans Jule

    (Deutsches Institut für Wirtschaftsforschung (DIW Berlin), Sozio-oekonomisches Panel (SOEP), Mohrenstraße 58, 10117 Berlin, Germany)

  • Giering Oliver

    (Institut für Soziologie, Technische Universität Berlin, Fraunhoferstraße 33-36, 10587 Berlin, Germany)

Abstract

Public debates and current research on “digitalization” suggest that digital technologies could profoundly transform the world of work. While broad claims are common in these debates, empirical evidence remains scarce. This calls for reliable data for empirical research and evidence-based policymaking. We implemented a data module in the Socio-Economic Panel to gather information on digitalization in three domains: artificial intelligence (AI), platform work, and digitalized workplace. This paper describes the existing approaches to measure technological exposure, the challenges in operationalization of digital transformation in a household survey, the implemented questionnaire items, and the research potential of this new data.

Suggested Citation

  • Fedorets Alexandra & Kirchner Stefan & Adriaans Jule & Giering Oliver, 2022. "Data on Digital Transformation in the German Socio-Economic Panel," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 242(5-6), pages 691-705, December.
    • Handle: RePEc:jns:jbstat:v:242:y:2022:i:5-6:p:691-705:n:9
    DOI: 10.1515/jbnst-2021-0056
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    References listed on IDEAS

    as
    1. David Autor & Anna Salomons, 2018. "Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share," NBER Working Papers 24871, National Bureau of Economic Research, Inc.
    2. Reimann, Mareike & Abendroth, Anja-Kristin & Diewald, Martin, 2020. "How digitalized is work in large German workplaces, and how is digitalized work perceived by workers? : A new employer-employee survey instrument," IAB-Forschungsbericht 202008, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Sandra E. Black & Alexandra Spitz-Oener, 2010. "Explaining Women's Success: Technological Change and the Skill Content of Women's Work," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 187-194, February.
    4. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    5. David Autor & Anna Salomons, 2018. "Is Automation Labor Share–Displacing? Productivity Growth, Employment, and the Labor Share," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 49(1 (Spring), pages 1-87.
    6. Christina Gathmann & Uta Schönberg, 2010. "How General Is Human Capital? A Task-Based Approach," Journal of Labor Economics, University of Chicago Press, vol. 28(1), pages 1-49, January.
    7. 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.
    8. 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.
    9. Alexandra Fedorets, 2019. "Changes in Occupational Tasks and Their Association with Individual Wages and Occupational Mobility," German Economic Review, Verein für Socialpolitik, vol. 20(4), pages 295-328, November.
    10. Evers, Maren & Krzywdzinski, Martin & Pfeiffer, Sabine, 2018. "Designing wearables for use in the workplace: The role of solution developers," Discussion Papers, Research Group Globalization, Work, and Production SP III 2018-301, WZB Berlin Social Science Center.
    11. Dengler, Katharina & Matthes, Britta, 2018. "The impacts of digital transformation on the labour market: Substitution potentials of occupations in Germany," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 304-316.
    12. 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.
    13. Ruiner, Caroline & Klumpp, Matthias, 2020. "Arbeitskräfte zwischen Autonomie und Kontrolle - Auswirkungen der Digitalisierung auf Arbeitsbeziehungen in der Logistik [Workforce between Autonomy and Control - Effects of Digitalization on Empl," Industrielle Beziehungen. Zeitschrift für Arbeit, Organisation und Management, Verlag Barbara Budrich, vol. 27(2), pages 141-159.
    14. Bonin, Holger & Gregory, Terry & Zierahn, Ulrich, 2015. "Übertragung der Studie von Frey/Osborne (2013) auf Deutschland," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, volume 57, number 123310.
    15. Schröder, Carsten & König, Johannes & Fedorets, Alexandra & Goebel, Jan & Grabka, Markus M. & Lüthen, Holger & Metzing, Maria & Schikora, Felicitas & Liebig, Stefan, 2020. "The economic research potentials of the German Socio-Economic Panel study," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 21(3), pages 335-371.
    16. 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.
    17. Bonin, Holger & Rinne, Ulf, 2017. "Omnibusbefragung zur Verbesserung der Datenlage neuer Beschäftigungsformen," IZA Research Reports 80, Institute of Labor Economics (IZA).
    18. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2017. "Revisiting the risk of automation," Economics Letters, Elsevier, vol. 159(C), pages 157-160.
    19. Böckerman, Petri & Ilmakunnas, Pekka, 2006. "Interaction of job disamenities, job satisfaction, and sickness absences: Evidence from a representative sample of Finnish workers," MPRA Paper 1800, University Library of Munich, Germany.
    20. 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.
    21. repec:bin:bpeajo:v:49:y:2019:i:2018-01:p:1-87 is not listed on IDEAS
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    More about this item

    Keywords

    artificial intelligence; platform work; digital workplace; operationalization; household survey;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other

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