Data on Digital Transformation in the German Socio-Economic Panel

Alexandra Fedorets, Kirchner Stefan (), Adriaans Jule () and Giering Oliver ()
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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

Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), 2022, vol. 242, issue 5-6, 691-705

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.

Keywords: artificial intelligence; platform work; digital workplace; operationalization; household survey (search for similar items in EconPapers)
JEL-codes: C18 C89 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/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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