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Education and Self-Selection
Open accessAbstract
A structural model of the demand for college attendance is derived from the theory of comparative advantage and recent statistical models of self-selection and unobserved components. Estimates from NBEr-Thorndike data strongly support the theory. First, expected lifetime earnings gains influence the decision to attend college. Second, those who did not attend college would have earned less than measurably similar people who did attend, while those who attended college would have earned less as high school graduates than measurably similar people who stopped after high school. Positive selection in both groups implies no "ability bias" in these data.
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Citations
Cited by
Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems
Card, D. (2001) · Econometrica · doi:10.1111/1468-0262.00237 · Cited by 1,918
Empirical Strategies in Labor Economics
Angrist, J. D., & Krueger, A. B. (1999) · Handbook of Labor Economics · doi:10.1016/s1573-4463(99)03004-7 · Cited by 1,628
Correcting for Endogeneity in Strategic Management Research
Hamilton, B. H., & Nickerson, J. A. (2003) · Strategic Organization · doi:10.1177/1476127003001001218 · Cited by 1,309
The Economics and Psychology of Personality Traits
Borghans, L., Duckworth, A. L., Heckman, J. J., & ter Weel, B. (2008) · Journal of Human Resources · doi:10.1353/jhr.2008.0017 · Cited by 1,049
Social and Economic Returns to College Education in the United States
Hout, M. (2012) · Annual Review of Sociology · doi:10.1146/annurev.soc.012809.102503 · Cited by 943
Metadata
- Authors
- Willis, R. J., & Rosen, S.
- Venue
- Journal of Political Economy
- Publisher
- University of Chicago Press
- Published
- 1979-10
- Volume
- 87
- Issue
- 5, Part 2
- Pages
- S7-S36
- ISSN
- 0022-3808 (ISSN-L)
- 1537-534X
- OpenAlex
- W2016846642
- Cited by
- 786
- References
- 0
- FWCI
- 8.73
- Type
- journal article
- Language
- en
- Open access
- green
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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.
