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District Segregation, Race Legislation, and Black Enrollment in Charter Schools

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  • Linda A. Renzulli

Abstract

Objective. This article examines how segregation at the school level within districts and charter school legislation predict black enrollment levels at local charter schools. Methods. This study uses the Schools and Staffing Survey Charter School Data 1999–2000, Common Core of Data, and a unique data set of district test scores to estimate OLS regression models of black enrollment in charter schools on district racial segregation and race provisions in charter school legislation. Results. Findings suggest that segregated school districts, those districts where whites and blacks are more unevenly distributed among schools, have a larger percentage of blacks enrolled in local charter schools than districts where schools are integrated. In addition, charter schools in states that do not have a racial clause have a smaller percent of blacks in their charter schools. Conclusion. Findings suggest that black enrollment in charter schools is a function of district segregation and state policy.

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  • Linda A. Renzulli, 2006. "District Segregation, Race Legislation, and Black Enrollment in Charter Schools," Social Science Quarterly, Southwestern Social Science Association, vol. 87(3), pages 618-637, September.
  • Handle: RePEc:bla:socsci:v:87:y:2006:i:3:p:618-637
    DOI: 10.1111/j.1540-6237.2006.00400.x
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    Cited by:

    1. Silverman Robert Mark, 2012. "The Nonprofitization of Public Education: Implications of Requiring Charter Schools to be Nonprofits in New York," Nonprofit Policy Forum, De Gruyter, vol. 3(1), pages 1-24, June.
    2. Kaihuai Liao & Peiyi Lv & Shixiang Wei & Tianlan Fu, 2022. "A Scientometric Review of Residential Segregation Research: A CiteSpace-Based Visualization," Sustainability, MDPI, vol. 15(1), pages 1-21, December.
    3. Florence Neymotin, 2011. "Charter Schools: An Introduction and Discussion for the Case of Kansas and Surrounding States," Technical Reports 110624, Brandmeyer Center for Applied Economics, School of Business, University of Kansas.

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