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Opening the "Skill-Biased Technological Change" Black Box: A Look at the Microfoundations of the Technology-Skill Relationship

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  • Roberto Antonietti

Abstract

The present article is a review of the recent empirical literature developed around the issues of why technology is complementary to high levels - and substitute for low levels - of skill, and, in particular, of how the adoption of ICT and computer-based machines has changed the skill requirements of jobs. During the last two decades the discussion around the impact of technological diffusion on the skill mix of employees has been intense. On this purpose, different approaches have developed that provide different evidence to a common research question. The paper shows that traditional studies have just inferred the skill-biased technical change hypothesis by employing broad measures of technological change and human skills from sector- and firm-level data. While studies that rely on worker-level data depict a more puzzling phenomenon, a recent literature based on job-level analyses focuses the heterogeneity of both technology and skills and aims at determining the demand for labor by the tasks that occupations require. The main conclusion is that technology is a partial substitute for repetitive manual tasks, and a complement of nonroutine, non-manual skills, for which more educated workers enjoy a comparative advantage. However, some open questions still remain that claim a deeper and multidisciplinary investigation on the endogenous relationship between technology adoption and general versus specific skill accumulation.

Suggested Citation

  • Roberto Antonietti, 2007. "Opening the "Skill-Biased Technological Change" Black Box: A Look at the Microfoundations of the Technology-Skill Relationship," Economia politica, Società editrice il Mulino, issue 3, pages 451-476.
  • Handle: RePEc:mul:jb33yl:doi:10.1428/25821:y:2007:i:3:p:451-476
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    Cited by:

    1. Krzywdzinski, Martin & Jo, Hyung Je, 2022. "Skill formation, automation and governance: comparing German and Korean automotive manufacturers in Central-Eastern Europe," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 18(1), pages 115-136.
    2. Yeo, Yeongjun & Lee, Jeong-Dong, 2020. "Revitalizing the race between technology and education: Investigating the growth strategy for the knowledge-based economy based on a CGE analysis," Technology in Society, Elsevier, vol. 62(C).
    3. Gilberto Antonelli & Roberto Antonietti & Giovanni Guidetti, 2010. "Organizational Change, Skill Formation, Human Capital Measurement: Evidence From Italian Manufacturing Firms," Journal of Economic Surveys, Wiley Blackwell, vol. 24(2), pages 206-247, April.
    4. Fabo, B., 2017. "Towards an understanding of job matching using web data," Other publications TiSEM b8b877f2-ae6a-495f-b6cc-9, Tilburg University, School of Economics and Management.
    5. Roberto Antonietti & Luca Cattani & Francesca Gambarotto & Giulio Pedrini, 2021. "Education, routine, and complexity-biased Knowledge Enabling Technologies: Evidence from Emilia-Romagna, Italy," Discussion Paper series in Regional Science & Economic Geography 2021-07, Gran Sasso Science Institute, Social Sciences, revised May 2021.
    6. R. Antonietti & D. Antonioli, 2007. "Conditional Leptokurtosis in Energy Prices: Multivariate Evidence from Futures Markets," Working Papers 594, Dipartimento Scienze Economiche, Universita' di Bologna.
    7. Francesco Bogliacino, 2014. "Innovation and employment: A firm level analysis with European R&D Scoreboard data," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 15(2), pages 141-154.
    8. Krzywdzinski, Martin, 2017. "Automation, skill requirements and labour-use strategies: high-wage and low-wage approaches to high-tech manufacturing in the automotive industry," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 32(3), pages 247-267.

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