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Neue Technologien und Löhne: Erste Analysen basierend auf österreichischen Mikrodaten

Author

Listed:
  • Robert Stehrer

    (The Vienna Institute for International Economic Studies, wiiw)

Abstract

Neue Technologien und Löhne Erste Analysen basierend auf österreichischen Mikrodaten This publication is available in German language only. For a brief English summary see further below. In diesem Bericht wird der Effekt der Verwendung neuer Technologien – von Robotern, 3D-Druck, Big Data und anderer softwarebasierter Anwendungen – auf Löhne und Lohnstrukturen untersucht. Die Untersuchung beruht auf der IKTU-Erhebung und weiteren detaillierten Daten auf Firmen- und Personenebene. Als Methode werden Mincer-Regressionen in einer Querschnittsanalyse geschätzt, in denen für Personen- und Firmenmerkmale kontrolliert wird. Für Letztere wird insbesondere eine Variable verwendet, die anzeigt, ob die Firma neue Technologien (z. B. Roboter) verwendet oder nicht. Die Resultate zeigen, dass die Auswirkungen der neuen Technologien auf Löhne durchaus differenziert betrachtet werden müssen. Die Effekte sind jedoch in allen Fällen gering bzw. insignifikant. Interessanterweise gibt es in so gut wie allen Fällen – mit Ausnahme der Verwendung von Chatservices –- einen positiven Effekt auf die Löhne der Frauen. Über die Bildungsgruppen hinweg zeigen sich leichte Polarisierungsmuster, wobei jedoch die Personen mit mittlerer Qualifikation im Durchschnitt eher positiv betroffen sind. New technologies and wages First analyses based on Austrian microdata This report analyses the effect of the use of new technologies - robots, 3D printing, big data and other software-based applications - on wages and wage structures. The analysis is based on the ICT survey and other detailed data at company and individual level. Mincer regressions are estimated in a cross-sectional analysis in which personal and company characteristics are controlled for. For the latter, a variable indicating whether the firm uses new technologies (e.g. robots) or not is used. The results point towards a differentiated impact of the effects of new technologies on wages. Generally, the effects are small or insignificant in many cases. Interestingly, in almost all cases - except for the use of chat services - there is a positive effect on women's wages. There are slight polarisation patterns across the education groups. People with medium qualifications tend to be more positively affected on average. Analyse der österreichischen IKT-Landschaft https //ict-and-microdata.wiiw.io

Suggested Citation

  • Robert Stehrer, 2024. "Neue Technologien und Löhne: Erste Analysen basierend auf österreichischen Mikrodaten," wiiw Research Reports in German language 27, The Vienna Institute for International Economic Studies, wiiw.
  • Handle: RePEc:wii:ratpap:rpg:27
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    References listed on IDEAS

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    1. Georgios Petropoulos & David Pichler & Francesco Chiacchio, 2018. "The impact of industrial robots on EU employment and wages- A local labour market approach," Bruegel Working Papers 25186, Bruegel.
    2. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    3. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    4. Brent Neiman, 2014. "The Global Decline of the Labor Share," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 61-103.
    5. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    6. Baldwin, Richard, 2012. "Global supply chains: Why they emerged, why they matter, and where they are going," CEPR Discussion Papers 9103, C.E.P.R. Discussion Papers.
    7. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    8. David Autor & David Dorn & Lawrence F Katz & Christina Patterson & John Van Reenen, 2020. "The Fall of the Labor Share and the Rise of Superstar Firms [“Automation and New Tasks: How Technology Displaces and Reinstates Labor”]," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(2), pages 645-709.
    9. Maya Eden & Paul Gaggl, 2018. "On the Welfare Implications of Automation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 29, pages 15-43, July.
    10. 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.
    11. Docquier, Frédéric & Kone, Zovanga L. & Mattoo, Aaditya & Ozden, Caglar, 2019. "Labor market effects of demographic shifts and migration in OECD countries," European Economic Review, Elsevier, vol. 113(C), pages 297-324.
    12. 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.
    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. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    15. Grigoli, Francesco & Koczan, Zsoka & Topalova, Petia, 2020. "Automation and labor force participation in advanced economies: Macro and micro evidence," European Economic Review, Elsevier, vol. 126(C).
    16. Robert Stehrer, 2023. "Firmen-, Beschäftigungs- und Lohnstrukturen in der österreichischen Außenwirtschaft mit Fokus auf KMUs – Erste Analysen basierend auf Mikrodaten," FIW Research Reports series 01, FIW.
    17. Stephen Machin & John Van Reenen, 1998. "Technology and Changes in Skill Structure: Evidence from Seven OECD Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1215-1244.
    18. John E. DiNardo & Jörn-Steffen Pischke, 1997. "The Returns to Computer Use Revisited: Have Pencils Changed the Wage Structure Too?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 291-303.
    19. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1169-1213.
    20. Ghodsi, Mahdi & Stehrer, Robert & Barišić, Antea, 2024. "Assessing the impact of new technologies on wages and labour income shares," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
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    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O5 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies

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