The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
INEQUALITY AND THE MEASUREMENT OF RESIDENTIAL SEGREGATION BY INCOME IN AMERICAN NEIGHBORHOODS
Abstract
American metropolitan areas have experienced rising residential segregation by income since 1970. One potential explanation for this change is growing income inequality. However, measures of residential sorting are typically mechanically related to the income distribution, making it difficult to identify the impact of inequality on residential choice. This paper presents a measure of residential segregation by income, the Centile Gap Index (CGI), which is based on income percentiles. Using the CGI, I find that a one standard deviation increase in income inequality raises residential income segregation by 0.4–0.9 standard deviations. Inequality at the top of the distribution is associated with more segregation of the rich, while inequality at the bottom and declines in labor demand for less‐skilled men are associated with residential isolation of the poor. Inequality can fully explain the rise in income segregation between 1970 and 2000.
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
A Pure Theory of Local Expenditures
Tiebout, C. M. (1956) · Journal of Political Economy · doi:10.1086/257839 · Cited by 13,222
Experimental Analysis of Neighborhood Effects
Kling, J. R., Liebman, J. B., & Katz, L. F. (2007) · Econometrica · doi:10.1111/j.1468-0262.2007.00733.x · Cited by 2,719
Cutler, D. M., & Glaeser, E. L. (1997) · The Quarterly Journal of Economics · doi:10.1162/003355397555361 · Cited by 1,241
Cited by
Neighborhoods, obesity, and diabetes—a randomized social experiment.
Ludwig, J., Sanbonmatsu, L., Gennetian, L., Adam, E., Duncan, G. J., Katz, L. F., Kessler, R. C., Kling, J. R., Lindau, S. T., Whitaker, R. C., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmsa1103216 · Cited by 964
Jackson, C. K., Johnson, R. C., & Persico, C. (2016) · The Quarterly Journal of Economics · doi:10.1093/qje/qjv036 · Cited by 805
Neighborhood Effects on the Long-Term Well-Being of Low-Income Adults
Ludwig, J., Duncan, G. J., Gennetian, L. A., Katz, L. F., Kessler, R. C., Kling, J. R., & Sanbonmatsu, L. (2012) · Science · doi:10.1126/science.1224648 · Cited by 747
The paradox of inequality: income inequality and belief in meritocracy go hand in hand
Mijs, J. J. B. (2021) · Socio-Economic Review · doi:10.1093/ser/mwy051 · Cited by 585
Long-Term Neighborhood Effects on Low-Income Families: Evidence from Moving to Opportunity
Ludwig, J., Duncan, G. J., Gennetian, L. A., Katz, L. F., Kessler, R. C., Kling, J. R., & Sanbonmatsu, L. (2013) · American Economic Review · doi:10.1257/aer.103.3.226 · Cited by 436
Segregation by Design: Local Politics and Inequality in American Cities
Trounstine, J. (2018) · doi:10.1017/9781108555722 · Cited by 428
Growing Wealth Gaps in Education
Pfeffer, F. T. (2018) · Demography · doi:10.1007/s13524-018-0666-7 · Cited by 178
The End of the American Dream? Inequality and Segregation in US Cities
Fogli, A., & Guerrieri, V. (2019) · doi:10.3386/w26143 · Cited by 68
Harding, D., Sanbonmatsu, L., Duncan, G., Gennetian, L., Katz, L., Kessler, R., Kling, J., Sciandra, M., & Ludwig, J. (2021) · doi:10.3386/w28454 · Cited by 7
Metadata
- Authors
- Watson, T.
- Venue
- Review of Income and Wealth
- Publisher
- Wiley
- Published
- 2009-08-20
- Volume
- 55
- Issue
- 3
- Pages
- 820-844
- ISSN
- 0034-6586 (ISSN-L)
- 1475-4991
- OpenAlex
- W2129450259
- Cited by
- 282
- References
- 3
- FWCI
- 23.88
- 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
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.
