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Cited by 299

The DOI matches its Crossref record; 128 of the 128 references it cites were found in a registry or an index.

Reducing Income Inequality in Educational Attainment: Experimental Evidence on the Impact of Financial Aid on College Completion

Goldrick-Rab, Sara, Kelchen, Robert, Harris, Douglas N., Benson, James·2016·American Journal of Sociology

Abstract

Income inequality in educational attainment is a long-standing concern, and disparities in college completion have grown over time. Need-based financial aid is commonly used to promote equality in college outcomes, but its effectiveness has not been established, and some are calling it into question. A randomized experiment is used to estimate the impact of a private need-based grant program on college persistence and degree completion among students from low-income families attending 13 public universities across Wisconsin. Results indicate that offering students additional grant aid increases the odds of bachelor’s degree attainment over four years, helping to diminish income inequality in higher education.

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Crossref · 10.1086/685442

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Metadata

Authors
Goldrick-Rab, S., Kelchen, R., Harris, D. N., & Benson, J.
Venue
American Journal of Sociology
Published
2016-05
Volume
121
Issue
6
Pages
1762-1817
ISSN
  • 0002-9602 (ISSN-L)
  • 1537-5390
OpenAlex
W2384641823
Cited by
299
References
128
FWCI
153.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Reducing Income Inequality in Educational Attainment: Experimental Evidence on the Impact of Financial Aid on College Completion. https://app.cochat.ai/papers/10.1086/685442
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Goldrick-Rab, S., Kelchen, R., Harris, D. N., & Benson, J. (2016). Reducing Income Inequality in Educational Attainment: Experimental Evidence on the Impact of Financial Aid on College Completion. American Journal of Sociology. https://doi.org/10.1086/685442

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.