The DOI matches its Crossref record.
The Career Decisions of Young Men
Open accessAbstract
This paper provides structural estimates of a dynamic model of schooling, work, and occupational choice decisions based on 11 years of observations on a sample of young men from the 1979 youth cohort of the National Longitudinal Surveys of Labor Market Experience (NLSY). The structural estimation framework that we adopt fully imposes the restrictions of the theory and permits an investigation of whether such a theoretically restricted model can succeed in quantitatively fitting the observed data patterns. We find that a suitably extended human capital investment model can in fact do an excellent job of fitting observed data on school attendance, work, occupational choices, and wages in the NLSY data on young men and also produces reasonable forecasts of future work decisions and wage patterns.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
(2001) · RePEc: Research Papers in Economics · Cited by 27,577
On the Specification and Estimation of the Production Function for Cognitive Achievement
Todd, P. E., & Wolpin, K. I. (2003) · The Economic Journal · doi:10.1111/1468-0297.00097 · Cited by 1,514
Self-citationThe Economics of Human Development and Social Mobility
Heckman, J. J., & Mosso, S. (2014) · Annual Review of Economics · doi:10.1146/annurev-economics-080213-040753 · Cited by 940
Estimating Dynamic Models of Imperfect Competition
Bajari, P., Benkard, C. L., & Levin, J. (2007) · Econometrica · doi:10.1111/j.1468-0262.2007.00796.x · Cited by 836
A Political Economy Model of Congressional Careers
Diermeier, D., Keane, M., & Merlo, A. (2005) · American Economic Review · doi:10.1257/0002828053828464 · Cited by 452
Self-citation
Metadata
- Authors
- Keane, M. P., & Wolpin, K. I.
- Venue
- Journal of Political Economy
- Publisher
- University of Chicago Press
- Published
- 1997-06
- Volume
- 105
- Issue
- 3
- Pages
- 473-522
- ISSN
- 0022-3808 (ISSN-L)
- 1537-534X
- OpenAlex
- W2127503409
- Cited by
- 1,390
- References
- 0
- FWCI
- 24.06
- Type
- journal article
- Language
- en
- Open access
- gold
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Career Decisions of Young Men. https://app.cochat.ai/papers/10.1086/262080
- The paper
- Keane, M. P., & Wolpin, K. I. (1997). The Career Decisions of Young Men. Journal of Political Economy. https://doi.org/10.1086/262080
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.