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The Diffusion of Digital Technologies and its Consequences in the Labor Market

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  • Grimm, Felix
  • Gathmann, Christina

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  • Grimm, Felix & Gathmann, Christina, 2022. "The Diffusion of Digital Technologies and its Consequences in the Labor Market," VfS Annual Conference 2022 (Basel): Big Data in Economics 264087, Verein für Socialpolitik / German Economic Association.
    • Handle: RePEc:zbw:vfsc22:264087
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    1. Kirill Borusyak & Peter Hull & Xavier Jaravel, 2022. "Quasi-Experimental Shift-Share Research Designs," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 181-213.
    2. Ufuk Akcigit & Murat Celik & Daron Acemoglu, 2014. "Young, Restless and Creative: Openness to Disruption and Creative Innovations," 2014 Meeting Papers 377, Society for Economic Dynamics.
    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. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    5. James Bessen & Robert M. Hunt, 2007. "An Empirical Look at Software Patents," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 16(1), pages 157-189, March.
    6. repec:dau:papers:123456789/10093 is not listed on IDEAS
    7. 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.
    8. Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
    9. Paul Goldsmith-Pinkham & Isaac Sorkin & Henry Swift, 2020. "Bartik Instruments: What, When, Why, and How," American Economic Review, American Economic Association, vol. 110(8), pages 2586-2624, August.
    10. Samuel Kortum & Jonathan Putnam, 1997. "Assigning Patents to Industries: Tests of the Yale Technology Concordance," Economic Systems Research, Taylor & Francis Journals, vol. 9(2), pages 161-176.
    11. Eve Caroli & John Van Reenen, 2001. "Skill-Biased Organizational Change? Evidence from A Panel of British and French Establishments," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1449-1492.
    12. Gill A. Pratt, 2015. "Is a Cambrian Explosion Coming for Robotics?," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 51-60, Summer.
    13. Hémous, David & Dechezleprêtre, Antoine & Olsen, Morten & Zanella, carlo, 2019. "Automating Labor: Evidence from Firm-level Patent Data," CEPR Discussion Papers 14249, C.E.P.R. Discussion Papers.
    14. Lybbert, Travis J. & Zolas, Nikolas J., 2014. "Getting patents and economic data to speak to each other: An ‘Algorithmic Links with Probabilities’ approach for joint analyses of patenting and economic activity," Research Policy, Elsevier, vol. 43(3), pages 530-542.
    15. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    16. repec:iab:iabfme:200502(en is not listed on IDEAS
    17. Timothy J. Bartik, "undated". "Who Benefits from Local Job Growth: Migrants or Original Residents?," Upjohn Working Papers tjb1993rs, W.E. Upjohn Institute for Employment Research.
    18. 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.
    19. Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018. "What Can Machines Learn, and What Does It Mean for Occupations and the Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 43-47, May.
    20. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    21. 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.
    22. Edward W. Felten & Manav Raj & Robert Seamans, 2018. "A Method to Link Advances in Artificial Intelligence to Occupational Abilities," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 54-57, May.
    23. Amat Adarov & Robert Stehrer, 2019. "Tangible and Intangible Assets in the Growth Performance of the EU, Japan and the US," wiiw Research Reports 442, The Vienna Institute for International Economic Studies, wiiw.
    24. Efraim Benmelech & Michal Zator, 2022. "Robots and Firm Investment," NBER Working Papers 29676, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Bachmann, Ronald & Gonschor, Myrielle & Storm, Eduard & Evans, Julian, 2024. "Berufe der Zukunft im Ruhrgebiet: Studie im Auftrag des Regionalverbands Ruhr. Endbericht," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 296884.

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    JEL classification:

    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor

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