Cited by 264School Choice and PerformanceDiverse Education Studies and ReformsEducational Assessment and Improvement

"School Choice and Competitive Incentives: Mapping the Distribution of Educational Opportunities across Local Education Markets

Lubienski, Christopher, Gulosino, Charisse, Weitzel, Peter·2009·American Journal of Education

Abstract

Competition sparked by school choice is expected to generate greater educational opportunities, particularly for disadvantaged students. The premise is that competitive incentives will change the organizational behavior of schools (and districts, dioceses, etc.) in ways that will lead to more equitable access for students across varied and often segregated urban landscapes. Drawing from theories of institutional environments and nonprofit firms, this analysis investigates patterns of access across three highly competitive local education markets to determine how school choices are arranged as options expand. The findings indicate that competitive incentives can have similar impacts on different types of organizations, but both policy variations and contextual factors such as demographic distributions may also play critical roles in shaping the market structures in which schools operate. Notably, all three cases showed patterns of exclusionary strategies that schools embraced to enhance market position.

Integrity signals

Registry

Crossref · 10.1086/599778

Cites

52 of 52 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • In cities like Baltimore, selective-enrollment, magnet, and charter schools are often located outside of highly disadvantaged neighborhoods, necessitating longer commutes for the disadvantaged students who are most likely to be taking public transportation.

    “Second, in cities like Baltimore, selective-enrollment, magnet, and charter schools are often located outside of highly disadvantaged neighborhoods, necessitating longer commutes for the disadvantaged students who are most likely to be taking public transportation (Burdick-Will, Keels, and Shuble 2013;Lubienski, Gulosino, and Weitzel 2009;Stein et al. 2017).”

    From Danger on the way to school: exposure to violent crime, public transportation, and absenteeism (2019) · cites this paper as Lubienski, Gulosino, and Weitzel 2009

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Lubienski, C., Gulosino, C., & Weitzel, P.
Affiliations
  • University of Illinois Urbana-Champaign (US)
  • Brown University (US)
Venue
American Journal of Education
Published
2009-08
Volume
115
Issue
4
Pages
601-647
ISSN
  • 0195-6744 (ISSN-L)
  • 1549-6511
OpenAlex
W2159329243
Cited by
264
References
52
Citations by year
2026: 5 · 2025: 10 · 2024: 7 · 2023: 13 · 2022: 21 · 2021: 15 · 2020: 19 · 2019: 33 · 2018: 22 · 2017: 26 · 2016: 25 · 2015: 17 · 2014: 17 · 2013: 10 · 2012: 11
FWCI
34.00
Type
journal article
Language
en
Open access
closed
Locations
American Journal of Education (publishedVersion)
Topics
  • Social Sciences › Education › School Choice and Performance
  • Social Sciences › Education › Diverse Education Studies and Reforms
  • Social Sciences › Decision Sciences › Information Systems and Management › Educational Assessment and Improvement
Keywords
school choice, competition in education, educational opportunities, educational equity, disadvantaged students, institutional environment

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