The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
How Computers Have Changed the Wage Structure: Evidence from Microdata, 1984-1989
Abstract
This paper uses Current Population Survey data to examine whether workers who use a computer at work earn a higher wage rate than otherwise similar workers who do not use a computer at work. A variety of models are estimated to try to correct for unobserved variables that might be correlated with job-related computer use and earnings. Estimates suggest that workers who use computers on their job earn 10 to 15 percent higher wages. Additionally, the expansion in computer use in the 1980s can account for one-third to one-half of the increase in the rate of return to education.
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Citations
Cites
Changes in Relative Wages, 1963-1987: Supply and Demand Factors
Katz, L. F., & Murphy, K. M. (1992) · The Quarterly Journal of Economics · doi:10.2307/2118323 · Cited by 4,793
Cited by
(2001) · RePEc: Research Papers in Economics · Cited by 27,577
The future of employment: How susceptible are jobs to computerisation?
Frey, C. B., & Osborne, M. A. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.08.019 · Cited by 8,727
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
Self-citationTechnical change, inequality, and the labor market
Acemoglu, D. (2002) · Journal of Economic Literature · doi:10.1257/jel.40.1.7 · Cited by 1,767
The Growing Importance of Social Skills in the Labor Market*
Deming, D. J. (2017) · The Quarterly Journal of Economics · doi:10.1093/qje/qjx022 · Cited by 1,727
Skill‐Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles
Card, D., & DiNardo, J. E. (2002) · Journal of Labor Economics · doi:10.1086/342055 · Cited by 1,714
Nonstandard Employment Relations: Part-time, Temporary and Contract Work
Kalleberg, A. L. (2000) · Annual Review of Sociology · doi:10.1146/annurev.soc.26.1.341 · Cited by 1,595
Artificial Intelligence and Jobs: Evidence from Online Vacancies
Acemoglu, D., Autor, D., Hazell, J., & Restrepo, P. (2022) · Journal of Labor Economics · doi:10.1086/718327 · Cited by 1,193
Tasks, automation, and the rise in U.S. wage inequality
Acemoglu, D., & Restrepo, P. (2022) · Econometrica · doi:10.3982/ecta19815 · Cited by 715
What’s Driving the New Economy?: The Benefits of Workplace Innovation
Black, S. E., & Lynch, L. M. (2004) · The Economic Journal · doi:10.1111/j.0013-0133.2004.00189.x · Cited by 604
Gender, Internet and computer attitudes and experiences
Schumacher, P., & Morahan-Martin, J. (2001) · Computers in Human Behavior · doi:10.1016/s0747-5632(00)00032-7 · Cited by 592
The Impact of Artificial Intelligence on the Labor Market
Webb, M. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3482150 · Cited by 531
Bulman, G., & Fairlie, R. W. (2016) · Handbook of the Economics of Education · doi:10.1016/b978-0-444-63459-7.00005-1 · Cited by 284
Violante, G. L. (2008) · The New Palgrave Dictionary of Economics · doi:10.1057/978-1-349-95121-5_2388-1 · Cited by 238
Ill Communication: Technology, distraction & student performance
Beland, L.-P., & Murphy, R. (2016) · Labour Economics · doi:10.1016/j.labeco.2016.04.004 · Cited by 236
The Rapid Adoption of Generative AI
Bick, A., Blandin, A., & Deming, D. (2024) · NBER Working Paper · doi:10.3386/w32966 · Cited by 200
Labor Market Intermediaries and the New Paradigm for Human Resources
Bonet, R., Cappelli, P., & Hamori, M. (2013) · Academy of Management Annals · doi:10.5465/19416520.2013.774213 · Cited by 199
Economic development, growth of human capital, and the dynamics of the wage structure
Mincer, J. (1996) · Journal of Economic Growth · doi:10.1007/bf00163341 · Cited by 175
(2004) · RePEc: Research Papers in Economics · Cited by 143
Skills or degree? The rise of skill-based hiring for AI and green jobs
Bone, M., González Ehlinger, E., & Stephany, F. (2025) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2025.124042 · Cited by 130
Technology and Education: Computers, Software, and the Internet
Bulman, G., & Fairlie, R. (2016) · doi:10.3386/w22237 · Cited by 66
The Effects of Automation on Labor Demand
Aghion, P., Antonin, C., Bunel, S., & Jaravel, X. (2022) · Robots and AI · doi:10.4324/9781003275534-2 · Cited by 58
The diffusion of new technologies
Kalyani, A., Bloom, N., Carvalho, M., Hassan, T., Lerner, J., & Tahoun, A. (2025) · The Quarterly Journal of Economics · doi:10.1093/qje/qjaf002 · Cited by 60
Large Language Models, Small Labor Market Effects
Humlum, A., & Vestergaard, E. (2025) · doi:10.2139/ssrn.5219933 · Cited by 27
Future of professional work: evidence from legal jobs in Britain and the United States
Sako, M., Qian, M., & Attolini, J. (2022) · Journal of Professions and Organization · doi:10.1093/jpo/joac011 · Cited by 19
Metadata
- Authors
- Krueger, A. B.
- Venue
- The Quarterly Journal of Economics
- Publisher
- Oxford University Press (OUP)
- Published
- 1993-02-01
- Volume
- 108
- Issue
- 1
- Pages
- 33-60
- ISSN
- 0033-5533 (ISSN-L)
- 1531-4650
- OpenAlex
- W3123046637
- Cited by
- 1,479
- References
- 1
- FWCI
- 76.59
- 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.