A spatial model of school district open enrollment choice

David Brasington, Alfonso Flores-Lagunes, Ledia Guci

Research output: Contribution to journalArticle

5 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)1-18
Number of pages18
JournalRegional Science and Urban Economics
Volume56
DOIs
StatePublished - Jan 1 2016

Fingerprint

district
school
student
determinants
School districts
Spatial model
Enrollment
legislation
interaction
evidence
policy

Keywords

  • C21
  • C25
  • H75
  • I22
  • R51
  • School choice
  • School district open enrollment policy
  • Spatial autoregressive lag
  • Spatial multinomial logit

ASJC Scopus subject areas

  • Economics and Econometrics
  • Urban Studies

Cite this

A spatial model of school district open enrollment choice. / Brasington, David; Flores-Lagunes, Alfonso; Guci, Ledia.

In: Regional Science and Urban Economics, Vol. 56, 01.01.2016, p. 1-18.

Research output: Contribution to journalArticle

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