Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 290

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Estimating the returns to community college schooling for displaced workers

Open access
Jacobson, Louis, LaLonde, Robert, G. Sullivan, Daniel·2005·Journal of Econometrics

Abstract

Studies show that high-tenure displaced workers typically incur substantial long-term earnings losses. As these losses have become increasingly apparent, policy makers have significantly expanded resources for retraining, much of which takes place in regular community college classes. To analyze the effectiveness of such training, we link administrative earnings records with the community college transcript records of workers displaced from jobs during the first half of the 1990s in Washington State. We explore several issues of statistical specification for regression models quantifying the impact of community college credits on earnings. These include (i) the need to allow for a transition period immediately after the end of workers' schooling when their earnings may be temporarily depressed, (ii) whether earnings gains are strictly proportional to credits earned, and (iii) how to model worker-specific unobserved heterogeneity. In our preferred specification, we find that the equivalent of an academic year of community college schooling raises the long-term earnings of displaced workers by an average of about 9 percent for men and about 13 percent for women. ; However, these average returns mask substantial variation in the returns associated with different types of courses. On the one hand, we estimate that an academic year of more technically oriented vocational and academic math and science courses raise earnings by about 14 percent for men and 29 percent for women. On the other hand, we estimate that less technically oriented courses yield very low and possibly zero returns. About one third of the increase in earnings associated with more technically oriented vocational and academic math and science courses is estimated to be due to increases in wage rates, with the remainder attributable to increased hours of work.

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 · 10.1016/j.jeconom.2004.04.010

Cites

28 of 28 references verified0 citation errors · 0 not checkable

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

Cites

Show all 28 references

Cited by

See all 290

Metadata

Authors
Jacobson, L., LaLonde, R., & G. Sullivan, D.
Venue
Journal of Econometrics
Publisher
Elsevier BV
Published
2005-03
Volume
125
Issue
1-2
Pages
271-304
ISSN
0304-4076 (ISSN-L)
OpenAlex
W2023379380
Cited by
290
References
28
FWCI
18.17
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: Estimating the returns to community college schooling for displaced workers. https://app.cochat.ai/papers/10.1016/j.jeconom.2004.04.010
The paper
Jacobson, L., LaLonde, R., & G. Sullivan, D. (2005). Estimating the returns to community college schooling for displaced workers. Journal of Econometrics. https://doi.org/10.1016/j.jeconom.2004.04.010

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.