The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems
Abstract
This paper reviews a set of recent studies that have attempted to measure the causal effect of education on labor market earnings by using institutional features of the supply side of the education system as exogenous determinants of schooling outcomes. A simple theoretical model that highlights the role of comparative advantage in the optimal schooling decision is presented and used to motivate an extended discussion of econometric issues, including the properties of ordinary least squares and instrumental variables estimators. A review of studies that have used compulsory schooling laws, differences in the accessibility of schools, and similar features as instrumental variables for completed education reveals that the resulting estimates of the return to schooling are typically as big or bigger than the corresponding ordinary least squares estimates. One interpretation of this finding is that marginal returns to education among the low-education subgroups typically affected by supply-side innovations tend to relatively high, reflecting their high marginal costs of schooling, rather than low ability that limits their return to education.
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Cites
Instrumental Variables Regression with Weak Instruments
Staiger, D., & Stock, J. H. (1997) · Econometrica · doi:10.2307/2171753 · Cited by 7,081
Identification of Causal Effects Using Instrumental Variables
Angrist, J. D., Imbens, G. W., & Rubin, D. B. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476902 · Cited by 4,230
Identification and estimation of local average treatment effects
Imbens, G. W., & Angrist, J. D. (1994) · Econometrica · doi:10.2307/2951620 · Cited by 4,101
Does Compulsory School Attendance Affect Schooling and Earnings?
Angrist, J. D., & Krueger, A. B. (1991) · The Quarterly Journal of Economics · doi:10.2307/2937954 · Cited by 2,558
Panel data and unobservable individual effects
Hausman, J., & Taylor, W. (1981) · Journal of Econometrics · doi:10.1016/0304-4076(81)90085-3 · Cited by 2,309
Panel Data and Unobservable Individual Effects
Hausman, J. A., & Taylor, W. E. (1981) · Econometrica · doi:10.2307/1911406 · Cited by 2,258
Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement
Angrist, J. D., & Lavy, V. (1999) · The Quarterly Journal of Economics · doi:10.1162/003355399556061 · Cited by 1,482
Estimating the Returns to Schooling: Some Econometric Problems
Griliches, Z. (1977) · Econometrica · doi:10.2307/1913285 · Cited by 1,390
Angrist, J. D., & Imbens, G. W. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476535 · Cited by 1,341
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Cited by
Recent Developments in the Econometrics of Program Evaluation
Imbens, G. W., & Wooldridge, J. M. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.1.5 · Cited by 4,926
Returns to Investment in Education: A Further Update
Psacharopoulos, G., & Patrinos, H. A. (2002) · World Bank, Washington, DC eBooks · doi:10.1596/1813-9450-2881 · Cited by 1,637
Control Function Methods in Applied Econometrics
Wooldridge, J. M. (2015) · Journal of Human Resources · doi:10.3368/jhr.50.2.420 · Cited by 1,633
Long term consequences of early childhood malnutrition
Alderman, H. (2006) · Oxford Economic Papers · doi:10.1093/oep/gpl008 · Cited by 1,532
The Relationship Between Education and Adult Mortality in the United States
Lleras-Muney, A. (2005) · Review of Economic Studies · doi:10.1111/0034-6527.00329 · Cited by 1,282
Metadata
- Authors
- Card, D.
- Venue
- Econometrica
- Publisher
- The Econometric Society
- Published
- 2001-09
- Volume
- 69
- Issue
- 5
- Pages
- 1127-1160
- ISSN
- 0012-9682 (ISSN-L)
- 1468-0262
- OpenAlex
- W2891018837
- Cited by
- 1,918
- References
- 34
- FWCI
- 93.07
- Type
- journal article
- Language
- en
- Open access
- closed
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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.