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Cited by 198

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Skill‐Biased Technological Change and Wage Inequality: Evidence from a Plant Retooling

Fernandez, Roberto M.·2001·American Journal of Sociology

Abstract

One of the most popular explanations for the increased wage inequality that has occurred since the late 1970s is that technological change has resulted in a downward shift in the demand for low‐skill workers. This pattern is also alleged to account for the growth in racial inequality in wages over the same period. This article reports on a case study of the retooling of a food processing plant. A unique, longitudinal, multimethod design reveals the nature of the technological change, the changes in job requirements, and the mechanisms by which the changes affect the wage distribution for hourly production workers. This research finds that, indeed, the retooling resulted in greater wage dispersion and that the changes have also been associated with greater racial inequality in wages. However, contrary to the claims of advocates of the skill‐bias hypothesis, organizational and human resources factors strongly mediated the impact of the changing technology. Absent these “high road” organizational choices, this impact on wage distribution would have been even more extreme.

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Metadata

Authors
Fernandez, R. M.
Venue
American Journal of Sociology
Published
2001-09
Volume
107
Issue
2
Pages
273-320
ISSN
  • 0002-9602 (ISSN-L)
  • 1537-5390
OpenAlex
W1965782463
Cited by
198
References
1
FWCI
17.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Skill‐Biased Technological Change and Wage Inequality: Evidence from a Plant Retooling. https://app.cochat.ai/papers/10.1086/324009
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Fernandez, R. M. (2001). Skill‐Biased Technological Change and Wage Inequality: Evidence from a Plant Retooling. American Journal of Sociology. https://doi.org/10.1086/324009

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.