A spatial model of school district open enrollment choice

David Brasington, Alfonso Flores-Lagunes () and Ledia Guci

Regional Science and Urban Economics, 2016, vol. 56, issue C, 1-18

Abstract: We provide an analysis of the determinants of adoption of inter-district open enrollment policies by school districts in Ohio. Legislation passed in 1997 allows Ohio's school districts to adopt one of the following open enrollment options: 1) prohibit enrollment of students from any other school district in the state (no open enrollment), 2) permit enrollment of students from adjacent school districts, or 3) permit enrollment of students from any school district in the state. We employ a recently developed spatial autoregressive lag multinomial logit model to examine the determinants of adoption of each open enrollment alternative. Among the most influential factors are school districts' demographic characteristics, financial factors, and competitive environment. More importantly, the results show evidence of strategic interaction, with a positive correlation in policy choice between neighboring school districts of about 0.4.

Keywords: School district open enrollment policy; Spatial multinomial logit; Spatial autoregressive lag; School choice (search for similar items in EconPapers)
JEL-codes: C21 C25 H75 I22 R51 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:regeco:v:56:y:2016:i:c:p:1-18

DOI: 10.1016/j.regsciurbeco.2015.10.005

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