IDEAS home Printed from https://ideas.repec.org/a/jns/jbstat/v242y2022i5-6p691-705n9.html
   My bibliography  Save this article

Data on Digital Transformation in the German Socio-Economic Panel

Author

Listed:
  • Fedorets Alexandra
  • Adriaans Jule

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

  • Kirchner Stefan
  • 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 & Adriaans Jule & Kirchner Stefan & 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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/jbnst-2021-0056
    Download Restriction: no

    File URL: https://libkey.io/10.1515/jbnst-2021-0056?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Bonin, Holger & Rinne, Ulf, 2017. "Omnibusbefragung zur Verbesserung der Datenlage neuer Beschäftigungsformen," IZA Research Reports 80, Institute of Labor Economics (IZA).
    11. 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.
    12. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2017. "Revisiting the risk of automation," Economics Letters, Elsevier, vol. 159(C), pages 157-160.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. repec:bin:bpeajo:v:49:y:2019:i:2018-01:p:1-87 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2021. "Stop worrying and love the robot: An activity-based approach to assess the impact of robotization on employment dynamics," GLO Discussion Paper Series 802, Global Labor Organization (GLO).
    2. Fossen, Frank M. & Sorgner, Alina, 2022. "New digital technologies and heterogeneous wage and employment dynamics in the United States: Evidence from individual-level data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    3. Genz, Sabrina & Schnabel, Claus, 2021. "Digging into the digital divide: Workers' exposure to digitalization and its consequences for individual employment," Discussion Papers 118, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    4. Friedrich, Teresa Sophie & Laible, Marie-Christine & Pollak, Reinhard & Schongen, Sebastian & Schulz, Benjamin & Vicari, Basha, 2021. "Grasping Digitalization in the Working World: An Example From the German National Educational Panel Study [Die Erfassung von Digitalisierung in der Arbeitswelt: Ein Beispiel aus dem Nationalen Bild," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 72(4), pages 415-452.
    5. Gries, Thomas & Naudé, Wim, 2022. "Modelling artificial intelligence in economics," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 56, pages 1-12.
    6. Gregory, Terry & Salomons, Anna & Zierahn, Ulrich, 2016. "Racing With or Against the Machine? Evidence from Europe," VfS Annual Conference 2016 (Augsburg): Demographic Change 145843, Verein für Socialpolitik / German Economic Association.
    7. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    8. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2019. "Digitalization and the Future of Work: Macroeconomic Consequences," IZA Discussion Papers 12428, Institute of Labor Economics (IZA).
    9. Fossen, Frank M. & Sorgner, Alina, 2019. "New Digital Technologies and Heterogeneous Employment and Wage Dynamics in the United States: Evidence from Individual-Level Data," IZA Discussion Papers 12242, Institute of Labor Economics (IZA).
    10. Nikolova, Milena & Cnossen, Femke & Nikolaev. Boris, 2022. "Robots, Meaning, and Self-Determination," GLO Discussion Paper Series 1191, Global Labor Organization (GLO).
    11. Eckhardt Bode & Stephan Brunow & Ingrid Ott & Alina Sorgner, 2019. "Worker Personality: Another Skill Bias beyond Education in the Digital Age," German Economic Review, Verein für Socialpolitik, vol. 20(4), pages 254-294, November.
    12. 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.
    13. Schmidpeter, Bernhard & Winter-Ebmer, Rudolf, 2021. "Automation, unemployment, and the role of labor market training," European Economic Review, Elsevier, vol. 137(C).
    14. Gasteiger, Emanuel & Prettner, Klaus, 2022. "Automation, Stagnation, And The Implications Of A Robot Tax," Macroeconomic Dynamics, Cambridge University Press, vol. 26(1), pages 218-249, January.
    15. Ben Vermeulen & Jan Kesselhut & Andreas Pyka & Pier Paolo Saviotti, 2018. "The Impact of Automation on Employment: Just the Usual Structural Change?," Sustainability, MDPI, vol. 10(5), pages 1-27, May.
    16. Gries, Thomas & Naudé, Wim, 2020. "Artificial Intelligence, Income Distribution and Economic Growth," IZA Discussion Papers 13606, Institute of Labor Economics (IZA).
    17. Goos, Maarten & Rademakers, Emilie & Röttger, Ronja, 2021. "Routine-Biased technical change: Individual-Level evidence from a plant closure," Research Policy, Elsevier, vol. 50(7).
    18. Brambilla, Irene & César, Andrés & Falcone, Guillermo & Gasparini, Leonardo, 2023. "The impact of robots in Latin America: Evidence from local labor markets," World Development, Elsevier, vol. 170(C).
    19. Fernández-Macías, Enrique & Klenert, David & Antón, José-Ignacio, 2021. "Not so disruptive yet? Characteristics, distribution and determinants of robots in Europe," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 76-89.
    20. Krenz, Astrid & Prettner, Klaus & Strulik, Holger, 2021. "Robots, reshoring, and the lot of low-skilled workers," European Economic Review, Elsevier, vol. 136(C).

    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

    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:jns:jbstat:v:242:y:2022:i:5-6:p:691-705:n:9. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    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.