Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 99

The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.

Segregation by race and income in the United States 1970–2010

Intrator, Jake, Tannen, Jonathan, Massey, Douglas S.·2016·Social Science Research
DOI 10.1016/j.ssresearch.2016.08.003PMC PMC5117629
Open this paper in CoChat — free account

Abstract

A systematic analysis of residential segregation and spatial interaction by income reveals that as income rises, minority access to integrated neighborhoods, higher levels of interaction with whites, and more affluent neighbors also increase. However, the income payoffs are much lower for African Americans than other groups, especially Asians. Although Hispanics and Asians have always displayed declining levels of minority-white dissimilarity and rising levels of minority-white interaction with rising income, income differentials on these outcomes for blacks did not appear until 1990 and since then have improved at a very slow pace. Given their higher overall levels of segregation and income’s limited effect on residential attainment, African Americans experience less integration, more neighborhood poverty at all levels of income compared to other minority groups. The degree of black spatial disadvantage is especially acute in the nation’s 21 hypersegregated metropolitan areas.

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.ssresearch.2016.08.003

Cites

67 of 67 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

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?

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

Research works printed but not linked: 1

  1. Denton, 1988, Residential segregation of blacks, Hispanics, and Asians by socioeconomic status and generation, Soc. Sci. Q., 69, 797

Cited by

See all 99

Metadata

Authors
Intrator, J., Tannen, J., & Massey, D. S.
Venue
Social Science Research
Publisher
Elsevier BV
Published
2016-11
Volume
60
Pages
45-60
ISSN
0049-089X
DOI
10.1016/j.ssresearch.2016.08.003
PMC
PMC5117629
Cited by
99
References
67
Language
en
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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

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.