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Cited by 865

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Workers, Wages, and Technology

Doms, M., Dunne, T., Troske, K. R.·1997·The Quarterly Journal of Economics

Abstract

This paper documents how plant-level wages, occupational mix, workforce education, and productivity vary with the adoption and use of new factory automation technologies such as programmable controllers, computer-automated design, and numerically controlled machines. Our cross-sectional results show that plants that use a large number of new technologies employ more educated workers, employ relatively more managers, professionals, and precision-craft workers, and pay higher wages. However, our longitudinal analysis shows little correlation between skill upgrading and the adoption of new technologies. It appears that plants that adopt new factory automation technologies have more skilled workforces both pre- and postadoption.

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Crossref · 10.1162/003355397555181

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Metadata

Authors
Doms, M., Dunne, T., & Troske, K. R.
Venue
The Quarterly Journal of Economics
Published
1997-02-01
Volume
112
Issue
1
Pages
253-290
ISSN
  • 0033-5533 (ISSN-L)
  • 1531-4650
OpenAlex
W2158985433
Cited by
865
References
2
FWCI
97.28
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Workers, Wages, and Technology. https://app.cochat.ai/papers/10.1162/003355397555181
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Doms, M., Dunne, T., & Troske, K. R. (1997). Workers, Wages, and Technology. The Quarterly Journal of Economics. https://doi.org/10.1162/003355397555181

Data sources

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.