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Comparative Advantage, Learning, and Sectoral Wage Determination
Abstract
We develop a model in which a worker’s skills determine the worker’s current wage and sector. The market and the worker are initially uncertain about some of the worker’s skills. Endogenous wage changes and sector mobility occur as labor market participants learn about these unobserved skills. We show how the model can be estimated using nonlinear instrumental variables techniques. We apply our methodology to study wages and allocation of workers across occupations and industries using individual‐level panel data from the National Longitudinal Survey of Youth. We find that high‐wage sectors employ high‐skill workers and offer high returns to workers’ skills.
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Citations
Cited by
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
The Short- and Long-Term Career Effects of Graduating in a Recession
Oreopoulos, P., von Wachter, T., & Heisz, A. (2012) · American Economic Journal: Applied Economics · doi:10.1257/app.4.1.1 · Cited by 1,256
Firms and Labor Market Inequality: Evidence and Some Theory
Card, D., Cardoso, A. R., Heining, J., & Kline, P. (2018) · Journal of Labor Economics · doi:10.1086/694153 · Cited by 919
Bayesian decision theory in sensorimotor control
Körding, K. P., & Wolpert, D. M. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.05.003 · Cited by 867
Putting Tasks to the Test: Human Capital, Job Tasks, and Wages
Autor, D. H., & Handel, M. J. (2013) · Journal of Labor Economics · doi:10.1086/669332 · Cited by 630
Metadata
- Authors
- Gibbons, R., Katz, L. F., Lemieux, T., & Parent, D.
- Venue
- Journal of Labor Economics
- Publisher
- University of Chicago Press
- Published
- 2005-10
- Volume
- 23
- Issue
- 4
- Pages
- 681-724
- ISSN
- 0734-306X (ISSN-L)
- 1537-5307
- OpenAlex
- W3121910728
- Cited by
- 261
- References
- 0
- FWCI
- 22.62
- 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).
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