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The Comparative Advantage of Educated Workers in Implementing New Technology
Abstract
The authors estimate labor dem and equations derived from a (restricted variable) cost function in which "experience" on a technology (proxied by the mean age of the capital stock) enters "non-neutrally." The specification of the underlying cost function isbased on the hypothesis that highly educated workers have a comparative advantage with re spect to the adjustment to, and implementation of, new technologies. The empiric al results are consistent with the implication of this hypothesis, that the rel ative demand for educated workers declines as the ages of plant and (particularl y) of equipment increase, especially in R&D-intensive industries. Copyright 1987 by MIT Press.
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Citations
Cited by
Berman, E., Bound, J., & Griliches, Z. (1994) · The Quarterly Journal of Economics · doi:10.2307/2118467 · Cited by 1,870
Computing inequality: have computers changed the labor market?
Autor, D. H., Katz, L. F., & Krueger, A. B. (1998) · The Quarterly Journal of Economics · doi:10.1162/003355398555874 · Cited by 1,830
Technical change, inequality, and the labor market
Acemoglu, D. (2002) · Journal of Economic Literature · doi:10.1257/jel.40.1.7 · Cited by 1,767
Microeconomics of technology adoption
Foster, A. D., & Rosenzweig, M. R. (2010) · Annual Review of Economics · doi:10.1146/annurev.economics.102308.124433 · Cited by 1,055
A simple model of firm heterogeneity, international trade, and wages
Yeaple, S. R. (2005) · Journal of International Economics · doi:10.1016/j.jinteco.2004.01.001 · Cited by 966
Metadata
- Authors
- Bartel, A. P., & Lichtenberg, F. R.
- Venue
- The Review of Economics and Statistics
- Publisher
- JSTOR
- Published
- 1987-02
- Volume
- 69
- Issue
- 1
- Pages
- 1
- ISSN
- 0034-6535 (ISSN-L)
- OpenAlex
- W2049964491
- Cited by
- 971
- References
- 0
- FWCI
- 23.65
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
