The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Income Segregation between School Districts and Inequality in Students’ Achievement
Abstract
Large achievement gaps exist between high- and low-income students and between black and white students. This article explores one explanation for such gaps: income segregation between school districts, which creates inequality in the economic and social resources available in advantaged and disadvantaged students’ school contexts. Drawing on national data, I find that the income achievement gap is larger in highly segregated metropolitan areas. This is due mainly to high-income students performing better, rather than low-income children performing worse, in more-segregated places. Income segregation between districts also contributes to the racial achievement gap, largely because white students perform better in more economically segregated places. Descriptive portraits of the school districts of high- and low-income students show that income segregation creates affluent districts for high-income students while changing the contexts of low-income students negligibly. Considering income and race jointly, I find that only high-income white families live in the affluent districts created by income segregation; black families with identically high incomes live in districts more similar to those of low-income white families. My results demonstrate that the spatial inequalities created by income segregation between school districts contribute to achievement gaps between advantaged and disadvantaged students, with implications for future research and policy.
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
Understanding Interaction Models: Improving Empirical Analyses
Brambor, T., Clark, W. R., & Golder, M. (2006) · Political Analysis · doi:10.1093/pan/mpi014 · Cited by 6,223
Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States *
Chetty, R., Hendren, N., Kline, P., & Saez, E. (2014) · The Quarterly Journal of Economics · doi:10.1093/qje/qju022 · Cited by 2,922
The effects of poverty on children.
Brooks-Gunn, J., & Duncan, G. J. (1997) · The Future of Children · doi:10.2307/1602387 · Cited by 2,837
4. Regression with Missing Ys: An Improved Strategy for Analyzing Multiply Imputed Data
von Hippel, P. T. (2007) · Sociological Methodology · doi:10.1111/j.1467-9531.2007.00180.x · Cited by 1,495
Cutler, D. M., & Glaeser, E. L. (1997) · The Quarterly Journal of Economics · doi:10.1162/003355397555361 · Cited by 1,241
The Impact of Family Income on Child Achievement: Evidence from the Earned Income Tax Credit
Dahl, G. B., & Lochner, L. (2012) · American Economic Review · doi:10.1257/aer.102.5.1927 · Cited by 832
Jackson, C. K., Johnson, R. C., & Persico, C. (2016) · The Quarterly Journal of Economics · doi:10.1093/qje/qjv036 · Cited by 805
Increasing Inequality in Parent Incomes and Children’s Schooling
Duncan, G. J., Kalil, A., & Ziol-Guest, K. M. (2017) · Demography · doi:10.1007/s13524-017-0600-4 · Cited by 85
Cited by
Braveman, P. A., Arkin, E., Proctor, D., Kauh, T., & Holm, N. (2022) · Health Affairs · doi:10.1377/hlthaff.2021.01394 · Cited by 858
Dräger, J., & Pforr, K. (2022) · Advances in Life Course Research · doi:10.1016/j.alcr.2022.100476 · Cited by 8
Metadata
- Authors
- Owens, A.
- Venue
- Sociology of Education
- Publisher
- SAGE Publications
- Published
- 2017-11-09
- Volume
- 91
- Issue
- 1
- Pages
- 1-27
- ISSN
- 0038-0407 (ISSN-L)
- 1939-8573
- OpenAlex
- W2767736630
- Cited by
- 287
- References
- 8
- FWCI
- 86.24
- Type
- journal article
- Language
- en
- Open access
- closed
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: Income Segregation between School Districts and Inequality in Students’ Achievement. https://app.cochat.ai/papers/10.1177/0038040717741180
- The paper
- Owens, A. (2018). Income Segregation between School Districts and Inequality in Students’ Achievement. Sociology of Education. https://doi.org/10.1177/0038040717741180
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.