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Cited by 389

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Politics, Markets, and the Organization of Schools

Chubb, John E., Moe, Terry M.·1988·American Political Science Review

Abstract

We offer a comparative analysis of public and private schools, presenting data from a new national study—the Administrator and Teacher Survey—that expands on the pathbreaking High School and Beyond survey. We find that public and private schools are distinctively different in environment and organization. Most importantly, private schools are more likely to possess the characteristics widely believed to produce effectiveness. We argue throughout that the differences across the sectors are anchored in the logic of politics and markets. This argument derives from our belief that environmental context has pervasive consequences for the organization and operation of all schools and specifically that the key differences between public and private environments—and thus between public and private schools—derive from their characteristic methods of social control: the public schools are subordinates in a hierarchic system of democratic politics, whereas private schools are largely autonomous actors “controlled” by the market.

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Metadata

Authors
Chubb, J. E., & Moe, T. M.
Venue
American Political Science Review
Published
1988-12
Volume
82
Issue
4
Pages
1065-1087
ISSN
  • 0003-0554 (ISSN-L)
  • 1537-5943
OpenAlex
W2170752001
Cited by
389
References
24
FWCI
47.83
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Politics, Markets, and the Organization of Schools. https://app.cochat.ai/papers/10.2307/1961750
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Chubb, J. E., & Moe, T. M. (1988). Politics, Markets, and the Organization of Schools. American Political Science Review. https://doi.org/10.2307/1961750

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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.