Cited by 228Electoral Systems and Political ParticipationUrban, Neighborhood, and Segregation StudiesNames, Identity, and Discrimination Research

Seeking politically compatible neighbors? The role of neighborhood partisan composition in residential sorting

Gimpel, James G., Hui, Iris S.·2015·Political Geography

Integrity signals

Registry

Crossref · 10.1016/j.polgeo.2014.11.003

Cites

66 of 66 references verified0 citation errors · 0 not checkable

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  • People self-report desiring to move to locations with fellow partisans.

    “Indeed, survey data suggest that people self-report desiring to move to locations with fellow partisans (Gimpel & Hui 2015).”

    From The Origins and Consequences of Affective Polarization in the United States (2019) · cites this paper as Gimpel & Hui 2015

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3 of the 69 references couldn’t be matched to a known paper.

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Authors
Gimpel, J. G., & Hui, I. S.
Affiliations
  • University of Maryland, College Park (US)
  • Stanford University (US)
Corresponding author
Gimpel, James G.
Venue
Political Geography
Publisher
Elsevier BV
Published
2015-09
Volume
48
Pages
130-142
ISSN
0962-6298 (ISSN-L)
OpenAlex
W2070167244
Cited by
228
References
69
Citations by year
2026: 46 · 2025: 36 · 2024: 13 · 2023: 37 · 2022: 33 · 2021: 8 · 2020: 10 · 2019: 11 · 2018: 29 · 2017: 3 · 2016: 2
FWCI
73.69
Type
journal article
Language
en
Open access
closed
Locations
Political Geography (publishedVersion)
Topics
  • Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
  • Social Sciences › Sociology and Political Science › Urban, Neighborhood, and Segregation Studies
  • Social Sciences › Sociology and Political Science › Names, Identity, and Discrimination Research
Keywords
residential sorting, political information, internal migration, property valuation, survey experiment, neighborhood selection, socio-economic environment

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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.

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