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Changes in the Demand for Skilled Labor within U. S. Manufacturing: Evidence from the Annual Survey of Manufactures
Abstract
This paper investigates the shift in demand away from unskilled and toward skilled labor in U. S. manufacturing over the 1980s. Production labor-saving technological change is the chief explanation for this shift. That conclusion is based on three facts: (1) the shift is due mostly to increased use of skilled workers within the 450 industries in U. S. manufacturing rather than to a reallocation of employment between industries, as would be implied by a shift in product demand due to trade or to a defense buildup; (2) trade- and defense-demand are associated with only small employment reallocation effects; (3) increased use of nonproduction workers is strongly correlated with investment in computers and in R&D.
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“Therefore, the income distribution becomes dependent on the changes in the skill composition of workers and skill-biased nature of technological progress (see, for instance, Berman et al., 1994;Autor et al., 1998;Piva and Vivarelli, 2004;Acemoglu and Autor, 2011).”
From Financialization and the Labor Share of Income (2019) · cites this paper as Berman et al., 1994
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“And this positive sorting, too, finds support in our data, lending corroborative evidence to inter-industry studies which have found that more computerized industries tend to employ more skilled (and presumably more able) workers (Berman et al ., 1994; Autor et al ., 1998; Machin and Reenen, 1998).”
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“The specification follows Berman et al. (1994) and excludes the relative wage terms in an effort to avoid division biases resulting from the presence of wage measures in both the dependent and independent variables.”
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“Widening disparities in incomes and employment opportunities have been traced to biased technical change and sectoral change, possibly linked to changing trade patterns, as discussed by Freeman(1995) and Berman et al (1994).”
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Beißinger, T., & Möller, J. (2000) · Springer eBooks · doi:10.1007/978-3-662-04082-9_5 · Cited by 8
Metadata
- Authors
- Berman, E., Bound, J., & Griliches, Z.
- Affiliations
- Boston University (US)
- National Bureau of Economic Research (US)
- ORCID
- Venue
- The Quarterly Journal of Economics
- Publisher
- Oxford University Press (OUP)
- Published
- 1994-05-01
- Volume
- 109
- Issue
- 2
- Pages
- 367-397
- ISSN
- 0033-5533 (ISSN-L)
- 1531-4650
- OpenAlex
- W2078001550
- Cited by
- 1,870
- References
- 28
- Citations by year
- 2026: 22 · 2025: 23 · 2024: 25 · 2023: 33 · 2022: 41 · 2021: 45 · 2020: 46 · 2019: 50 · 2018: 38 · 2017: 63 · 2016: 43 · 2015: 73 · 2014: 63 · 2013: 75 · 2012: 55
- FWCI
- 93.64
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Quarterly Journal of Economics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Science Foundation
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Global trade and economics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
- Keywords
- skilled labor demand, manufacturing employment, labor reallocation, defense spending, IT investment, R&D investment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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