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Deciphering Prometheus: Temporal Change in the Skill Level of Work
Abstract
Major hypotheses about temporal change in the skill levels of work correspond to notions of upgrading, downgrading, and little net change. This paper identifies reasons why research has been equivocal on the larger question. Research designs yield differing conclusions: aggregate studies suggest little net change in recent years; case studies portray more volatile upgrading and downgrading within subsectors. A comprehensive answer to the question of skill transformation will require more systematic assessment of compositional and work content shifts, more complete sampling of the temporal and spatial domain, and better concepts and measures for skill. An improved approach includes direct measurement of two primary dimensions of skill, substantive complexity and autonomy-control. A review of existing aggregate studies illustrates the methodological problems and suggests future directions and hypotheses.
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Cited by
Heritability estimates versus large environmental effects: The IQ paradox resolved.
Dickens, W. T., & Flynn, J. R. (2001) · Psychological Review · doi:10.1037/0033-295x.108.2.346 · Cited by 663
Reconsidering the Declining Significance of Race: Racial Differences in Early Career Wages
Cancio, A. S., Evans, T. D., & Maume, D. J. (1996) · American Sociological Review · doi:10.2307/2096391 · Cited by 206
High-Touch and Here-to-Stay: Future Skills Demands in US Low Wage Service Occupations
Gatta, M., Boushey, H., & Appelbaum, E. (2009) · Sociology · doi:10.1177/0038038509340735 · Cited by 75
Metadata
- Authors
- Spenner, K. I.
- Venue
- American Sociological Review
- Publisher
- SAGE Publications
- Published
- 1983-12
- Volume
- 48
- Issue
- 6
- Pages
- 824
- ISSN
- 0003-1224 (ISSN-L)
- OpenAlex
- W2318242788
- Cited by
- 256
- References
- 0
- FWCI
- 16.67
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
