The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Examining the Link between Teacher Wages and Student Outcomes: The Importance of Alternative Labor Market Opportunities and Non-Pecuniary Variation
Open accessAbstract
Researchers using cross-sectional data have failed to produce systematic evidence that teacher salaries affect student outcomes. These studies generally do not account for non-pecuniary job attributes and alternative wage opportunities, which affect the opportunity cost of choosing to teach. When we employ the methodology used in previous studies, we replicate their results. However, once we adjust for labor market factors, we estimate that raising teacher wages by 10% reduces high school dropout rates by 3% to 4%. Our findings suggest that previous studies have failed to produce robust estimates because they lack adequate controls for non-wage aspects of teaching and market differences in alternative occupational opportunities.
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
Cites
Bound, J., Jaeger, D. A., & Baker, R. M. (1995) · Journal of the American Statistical Association · doi:10.2307/2291055 · Cited by 1,018
Cited by
Clotfelter, C., Glennie, E., Ladd, H., & Vigdor, J. (2008) · Journal of Public Economics · doi:10.1016/j.jpubeco.2007.07.003 · Cited by 352
Grissom, J. A. (2011) · Teachers College Record: The Voice of Scholarship in Education · doi:10.1177/016146811111301102 · Cited by 290
Metadata
- Authors
- Loeb, S., & Page, M. E.
- Venue
- Review of Economics and Statistics
- Publisher
- MIT Press - Journals
- Published
- 2000-08
- Volume
- 82
- Issue
- 3
- Pages
- 393-408
- ISSN
- 0034-6535 (ISSN-L)
- 1530-9142
- OpenAlex
- W2159506576
- Cited by
- 292
- References
- 1
- FWCI
- 50.79
- Type
- journal article
- Language
- en
- Open access
- green
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: Examining the Link between Teacher Wages and Student Outcomes: The Importance of Alternative Labor Market Opportunities and Non-Pecuniary Variation. https://app.cochat.ai/papers/10.1162/003465300558894
- The paper
- Loeb, S., & Page, M. E. (2000). Examining the Link between Teacher Wages and Student Outcomes: The Importance of Alternative Labor Market Opportunities and Non-Pecuniary Variation. Review of Economics and Statistics. https://doi.org/10.1162/003465300558894
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.
