Cited by 995Intergenerational and Educational Inequality StudiesSchool Choice and PerformanceLabor market dynamics and wage inequality

Estimating the Payoff to Attending a More Selective College: An Application of Selection on Observables and Unobservables

Dale, S. B., Krueger, A. B.·2002·The Quarterly Journal of Economics

Abstract

Estimates of the effect of college selectivity on earnings may be biased because elite colleges admit students, in part, based on characteristics that are related to future earnings. We matched students who applied to, and were accepted by, similar colleges to try to eliminate this bias. Using the College and Beyond data set and National Longitudinal Survey of the High School Class of 1972, we find that students who attended more selective colleges earned about the same as students of seemingly comparable ability who attended less selective schools. Children from low-income families, however, earned more if they attended selective colleges.

Integrity signals

Registry

Crossref · 10.1162/003355302320935089

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The study uses a modified version of the Dale and Krueger (2002) method to control for student qualifications beyond those measured by high school GPA and test scores.

    “We use the information on the UC campuses to which students were admitted, and the quality of those UC campuses, to implement a modified version of the method used in Dale and Krueger (2002) to control for student qualifications beyond those measured by high school GPA and test scores.”

    From Affirmative action and university fit: evidence from Proposition 209 (2014) · cites this paper as Dale and Krueger (2002)

  • Failure to control for the full set of factors will likely result in biased estimates of the effects of attending more-selective colleges on the outcomes of interest.

    “As has been noted in the literature, 20 failure to control for the full set of factors will likely to result in biased estimates of the effects of attending more-selective colleges on the outcomes of interest.”

    From Affirmative action and university fit: evidence from Proposition 209 (2014) · cites this paper as Dale and Krueger (2002)

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Dale, S. B., & Krueger, A. B.
Affiliations
  • Mathematica Policy Research (US)
  • Princeton University (US)
Venue
The Quarterly Journal of Economics
Published
2002-11-01
Volume
117
Issue
4
Pages
1491-1527
ISSN
  • 0033-5533 (ISSN-L)
  • 1531-4650
OpenAlex
W2166257424
Cited by
995
References
1
Citations by year
2026: 28 · 2025: 43 · 2024: 35 · 2023: 53 · 2022: 51 · 2021: 50 · 2020: 46 · 2019: 48 · 2018: 37 · 2017: 41 · 2016: 63 · 2015: 55 · 2014: 62 · 2013: 54 · 2012: 58
FWCI
68.01
Type
journal article
Language
en
Open access
closed
Locations
  • The Quarterly Journal of Economics (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
  • Social Sciences › Education › School Choice and Performance
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
Keywords
college selectivity, elite universities, earnings, returns to college, selection on observables, selection on unobservables, university admission, low-income students, student ability

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