IDEAS home Printed from https://ideas.repec.org/a/jns/jbstat/v239y2019i3p483-521n2.html
   My bibliography  Save this article

The Impact of Investments in New Digital Technologies on Wages – Worker-Level Evidence from Germany

Author

Listed:
  • Genz Sabrina
  • Janser Markus
  • Lehmer Florian

    (Institute for Employment Research (IAB), Nuremberg, Germany)

Abstract

The strong rise of digitalization, automation, machine learning and other related new digital technologies has led to an intense debate about their societal impacts. The transitions of occupations and the effects on labor demand and workers’ wages are still open questions. Research projects dealing with this issue often face a lack of data on the usage of new digital technologies. This paper uses a novel linked employer–employee data set that contains detailed information on establishments’ technological upgrading between 2011 and 2016, a recent period of rapid technological progress. Furthermore, we are the first to develop a digital tools index based on the German expert database BERUFENET. The new index contains detailed information on the work equipment that is used by workers. Hence, we observe the degree of digitalization on both the establishment level and the worker level. The data allow us to investigate the impact of technology investments on the wage growth of employees within establishments. Overall, the results from individual level fixed effects estimates suggest that investments in new digital technologies at the establishment level positively affect the wages of the establishments’ workers. Sector-specific results show that investments in new digital technologies increase wages in knowledge intensive production establishments and non-knowledge intensive services. The wage growth effects of employees in digital pioneer establishments relative to the specific reference group of workers in digital latecomer establishments are most pronounced for low- and medium-skilled workers.

Suggested Citation

  • Genz Sabrina & Janser Markus & Lehmer Florian, 2019. "The Impact of Investments in New Digital Technologies on Wages – Worker-Level Evidence from Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(3), pages 483-521, June.
  • Handle: RePEc:jns:jbstat:v:239:y:2019:i:3:p:483-521:n:2
    DOI: 10.1515/jbnst-2017-0161
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/jbnst-2017-0161
    Download Restriction: no

    File URL: https://libkey.io/10.1515/jbnst-2017-0161?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. Guy Michaels & Ashwini Natraj & John Van Reenen, 2010. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 Years," CEP Discussion Papers dp0987, Centre for Economic Performance, LSE.
    2. Maarten Goos & Alan Manning & Anna Salomons, 2009. "Job Polarization in Europe," American Economic Review, American Economic Association, vol. 99(2), pages 58-63, May.
    3. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    4. Südekum, Jens & Dauth, Wolfgang & Findeisen, Sebastian & Woessner, Nicole, 2017. "German Robots – The Impact of Industrial Robots on Workers," CEPR Discussion Papers 12306, C.E.P.R. Discussion Papers.
    5. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    6. 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.
    7. Emek Basker, 2012. "Raising the Barcode Scanner: Technology and Productivity in the Retail Sector," American Economic Journal: Applied Economics, American Economic Association, vol. 4(3), pages 1-27, July.
    8. Mark Doms & Ron Jarmin & Shawn Klimek, 2004. "Information technology investment and firm performance in US retail trade," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 13(7), pages 595-613.
    9. Bernd Fitzenberger & Aderonke Osikominu & Robert Völter, 2006. "Imputation Rules to Improve the Education Variable in the IAB Employment Subsample," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 126(3), pages 405-436.
    10. Janser, Markus, 2018. "The greening of jobs in Germany : First evidence from a text mining based index and employment register data," IAB-Discussion Paper 201814, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    11. repec:iab:iabfme:201412(en is not listed on IDEAS
    12. 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.
    13. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    14. Dengler, Katharina & Matthes, Britta, 2015. "Folgen der Digitalisierung für die Arbeitswelt : Substituierbarkeitspotenziale von Berufen in Deutschland," IAB-Forschungsbericht 201511, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    15. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    16. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2017. "Revisiting the risk of automation," Economics Letters, Elsevier, vol. 159(C), pages 157-160.
    17. 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.
    18. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    19. Christian Dustmann & Johannes Ludsteck & Uta Schönberg, 2009. "Revisiting the German Wage Structure," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 843-881.
    20. Nicholas Bloom & Raffaella Sadun & John Van Reenen, 2012. "Americans Do IT Better: US Multinationals and the Productivity Miracle," American Economic Review, American Economic Association, vol. 102(1), pages 167-201, February.
    21. Dengler, Katharina & Matthes, Britta & Paulus, Wiebke, 2014. "Occupational Tasks in the German Labour Market : an alternative measurement on the basis of an expert database," FDZ-Methodenreport 201412 (en), Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    22. Dengler, Katharina & Matthes, Britta & Paulus, Wiebke, 2014. "Berufliche Tasks auf dem deutschen Arbeitsmarkt : eine alternative Messung auf Basis einer Expertendatenbank (Occupational Tasks in the German Labour Market : an alternative measurement on the basis o," FDZ Methodenreport 201412_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    23. Erik Brynjolfsson & Lorin M. Hitt, 2000. "Beyond Computation: Information Technology, Organizational Transformation and Business Performance," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 23-48, Fall.
    24. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    25. Kevin J. Stiroh, 2002. "Information Technology and the U.S. Productivity Revival: What Do the Industry Data Say?," American Economic Review, American Economic Association, vol. 92(5), pages 1559-1576, December.
    26. Dengler, Katharina & Matthes, Britta & Paulus, Wiebke, 2014. "Occupational Tasks in the German Labour Market : an alternative measurement on the basis of an expert database," FDZ Methodenreport 201412_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    27. Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
    28. Dauth, Wolfgang & Findeisen, Sebastian & Südekum, Jens & Wößner, Nicole, 2017. "German robots - the impact of industrial robots on workers," IAB-Discussion Paper 201730, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Genz Sabrina & Bellmann Lutz & Matthes Britta, 2019. "Do German Works Councils Counter or Foster the Implementation of Digital Technologies? : First Evidence from the IAB-Establishment Panel," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(3), pages 523-564, June.
    2. 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.
    3. Annie Tubadji & Toby Denney & Don J. Webber, 2021. "Cultural relativity in consumers' rates of adoption of artificial intelligence," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 1234-1251, July.
    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. Janser, Markus, 2018. "The greening of jobs in Germany : First evidence from a text mining based index and employment register data," IAB-Discussion Paper 201814, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

    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. Genz Sabrina & Janser Markus & Lehmer Florian, 2019. "The Impact of Investments in New Digital Technologies on Wages – Worker-Level Evidence from Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(3), pages 483-521, June.
    2. Cirillo, Valeria & Evangelista, Rinaldo & Guarascio, Dario & Sostero, Matteo, 2021. "Digitalization, routineness and employment: An exploration on Italian task-based data," Research Policy, Elsevier, vol. 50(7).
    3. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    4. 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.
    5. 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.
    6. 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.
    7. Georg Graetz, 2019. "Labor Demand in the Past, Present, and Future," European Economy - Discussion Papers 114, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    8. Janser, Markus, 2018. "The greening of jobs in Germany : First evidence from a text mining based index and employment register data," IAB-Discussion Paper 201814, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    9. 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.
    10. Maarten Goos & Melanie Arntz & Ulrich Zierahn & Terry Gregory & Stephanie Carretero Gomez & Ignacio Gonzalez Vazquez & Koen Jonkers, 2019. "The Impact of Technological Innovation on the Future of Work," JRC Working Papers on Labour, Education and Technology 2019-03, Joint Research Centre.
    11. 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).
    12. Janssen, Simon & Mohrenweiser, Jens, 2018. "The Shelf Life of Incumbent Workers during Accelerating Technological Change: Evidence from a Training Regulation Reform," IZA Discussion Papers 11312, Institute of Labor Economics (IZA).
    13. 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).
    14. Jelena Reljic & Rinaldo Evangelista & Mario Pianta, 2019. "Digital technologies, employment and skills," LEM Papers Series 2019/36, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    15. Thor Berger & Carl Benedikt Frey, 2016. "Structural Transformation in the OECD: Digitalisation, Deindustrialisation and the Future of Work," OECD Social, Employment and Migration Working Papers 193, OECD Publishing.
    16. Bachmann, Ronald & Stepanyan, Gayane, 2020. "It's a Woman's World? Occupational Structure and the Rise of Female Employment in Germany," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224626, Verein für Socialpolitik / German Economic Association.
    17. Balsmeier, Benjamin & Woerter, Martin, 2019. "Is this time different? How digitalization influences job creation and destruction," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    18. Graetz, Georg, 2020. "Technological change and the Swedish labor market," Working Paper Series 2020:19, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    19. 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.
    20. Fabian Stephany & Hanno Lorenz, 2021. "The Future of Employment Revisited: How Model Selection Determines Automation Forecasts," Papers 2104.13747, arXiv.org.

    More about this item

    Keywords

    digital technologies; automation; digital tools; wage growth;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:239:y:2019:i:3:p:483-521:n:2. 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.