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Skill-Biased Technological Change: Evidence from a Firm-Level Survey

Author

Listed:
  • Donald S. Siegel

    (University of Nottingham Business School)

Abstract
Siegel provides evidence that technology adoption is associated with downsizing, skill upgrading, greater employee empowerment, and a widening wage gap. Unlike previous studies that use industry-level data, Siegel collected firm-level data on technology usage and labor composition which enable him to link the magnitude of labor market outcomes for six classes of workers to the types of technologies implemented.

Suggested Citation

  • Donald S. Siegel, 1999. "Skill-Biased Technological Change: Evidence from a Firm-Level Survey," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number sbtc.
  • Handle: RePEc:upj:ubooks:sbtc
    Note: PDF is the book's first chapter.
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    Citations

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    Cited by:

    1. W. Craig Riddell & Xueda Song, 2017. "The Role of Education in Technology Use and Adoption: Evidence from the Canadian Workplace and Employee Survey," ILR Review, Cornell University, ILR School, vol. 70(5), pages 1219-1253, October.
    2. Albert Link & John Scott, 2002. "Explaining Observed Licensing Agreements: Toward a Broader Understanding of Technology Flows," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 11(3), pages 211-231.
    3. Qian Ye, 2018. "New-Born Startups Performance: Influences of Resources and Entrepreneurial Team Experiences," International Business Research, Canadian Center of Science and Education, vol. 11(2), pages 1-15, February.
    4. R. Antonietti, 2006. "The skill content of technological change. Some conjectures on the role of education and job-training in reducing the timing of new technology adoption," Working Papers 556, Dipartimento Scienze Economiche, Universita' di Bologna.
    5. Handel, Michael J., 2003. "Implications of Information Technology for Employment, Skills, and Wages: A Review of Recent Research," MPRA Paper 80077, University Library of Munich, Germany.
    6. Gordon, Lansing Alexander, 2002. "The e-skip-gen effect. The emergence of a cybercentric management model and the F2B market segment for industry," International Journal of Production Economics, Elsevier, vol. 80(1), pages 11-29, November.
    7. Adomako, Samuel & Amankwah-Amoah, Joseph & Frimpong, Kwabena, 2022. "Human capital, reverse engineering and new venture growth: The moderating role of competitive strategy," Technovation, Elsevier, vol. 114(C).
    8. Oliver Falck & Stephan Heblich, 2007. "Dynamic Clusters," Working Papers 016, Bavarian Graduate Program in Economics (BGPE).
    9. Vijay K. Mathur & Sheldon H. Stein, 2005. "Do amenities matter in attracting knowledge workers for regional economic development?," Papers in Regional Science, Wiley Blackwell, vol. 84(2), pages 251-269, June.
    10. Oliver Falck & Stephan Heblich, 2007. "Modern Location Factors in Dynamic Regions," European Planning Studies, Taylor & Francis Journals, vol. 16(10), pages 1385-1403, May.
    11. Xiaohua Yang & Cheryl Rivers, 2009. "Antecedents of CSR Practices in MNCs’ Subsidiaries: A Stakeholder and Institutional Perspective," Journal of Business Ethics, Springer, vol. 86(2), pages 155-169, March.
    12. Dunne, Timothy & Troske, Kenneth, 2004. "Technology Adoption and Workforce Skill in U.S. Manufacturing Plants," IZA Discussion Papers 1427, Institute of Labor Economics (IZA).
    13. Timothy Dunne & Kenneth Troske, 2005. "Technology Adoption And The Skill Mix Of Us Manufacturing Plants," Scottish Journal of Political Economy, Scottish Economic Society, vol. 52(3), pages 387-405, July.
    14. Alice Civera & Davide Donina & Michele Meoli & Silvio Vismara, 2020. "Fostering the creation of academic spinoffs: does the international mobility of the academic leader matter?," International Entrepreneurship and Management Journal, Springer, vol. 16(2), pages 439-465, June.
    15. Siegel, Donald S. & Waldman, David & Link, Albert, 2003. "Assessing the impact of organizational practices on the relative productivity of university technology transfer offices: an exploratory study," Research Policy, Elsevier, vol. 32(1), pages 27-48, January.
    16. Donald S. Siegel & Kenneth L. Simons & Tomas Lindstrom, 2009. "Ownership Change, Productivity, and Human Capital: New Evidence from Matched Employer-Employee Data," NBER Chapters, in: Producer Dynamics: New Evidence from Micro Data, pages 397-442, National Bureau of Economic Research, Inc.
    17. Donald Siegel & David Waldman & Albert Link, 1999. "Assessing the Impact of Organizational Practices on the Productivity of University Technology Transfer Offices: An Exploratory Study," NBER Working Papers 7256, National Bureau of Economic Research, Inc.
    18. Piotr Lewandowski & Pawel Chrostek & Jan Baran & Iga Magda & Maciej Lis & Anna Pankowiec & Piotr Szczerba & Maciej Bitner & Magdalena Kaminska, 2014. "Employment in Poland 2013. Labour in the Age of Structural Change," Books and Reports published by IBS, Instytut Badan Strukturalnych, number zwp2013 edited by Piotr Lewandowski & Iga Magda, january.
    19. Mike Wright & Keith M. Hmieleski & Donald S. Siegel & Michael D. Ensley, 2007. "The Role of Human Capital in Technological Entrepreneurship," Entrepreneurship Theory and Practice, , vol. 31(6), pages 791-806, November.
    20. Feng, Guangchao Charles, 2015. "Determinants of Internet diffusion: A focus on China," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 176-185.

    More about this item

    Keywords

    skill-biased; technological change; human capital; technology; skills;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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