Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,052

The DOI matches its Crossref record.

Using Geographic Variation in College Proximity to Estimate the Return to Schooling

Open access
Card, David·1993·National Bureau of Economic Research

Abstract

A convincing analysis of the causal link between schooling and earnings requires an exogenous source of variation in education outcomes. This paper explores the use of college proximity as an exogenous determinant of schooling. Analysis of the NLS Young Men Cohort reveals that men who grew up in local labor markets with a nearby college have significantly higher education and earnings than other men. The education and earnings gains are concentrated among men with poorly-educated parents -- men who would otherwise stop schooling at relatively low levels. When college proximity is taken as an exogenous determinant of schooling the implied instrumental variables estimates of the return to schooling are 25-60% higher than conventional ordinary least squares estimates. Since the effect of a nearby college on schooling attainment varies by family background it is possible to test whether college proximity is a legitimately exogenous determinant of schooling. The results affirm that marginal returns to education among children of less-educated parents are as high and perhaps much higher than the rates of return estimated by conventional methods.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3386/w4483

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.

A few free checks a day · papers already verified open instantly · results are public

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

See all 1,052

Metadata

Authors
Card, D.
Venue
National Bureau of Economic Research
Published
1993-10
OpenAlex
W2114878153
Cited by
1,052
References
0
Type
report
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: Using Geographic Variation in College Proximity to Estimate the Return to Schooling. https://app.cochat.ai/papers/10.3386/w4483
The paper
Card, D. (1993). Using Geographic Variation in College Proximity to Estimate the Return to Schooling. National Bureau of Economic Research. https://doi.org/10.3386/w4483

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.