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Participation in school choice: a spatial probit analysis of neighborhood influence

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  • Soma Ghosh

Abstract

This paper examines the factors influencing school districts’ participation in the voluntary open enrollment program in Massachusetts. It investigates whether school districts engage in strategic interaction when making the participation decision. The motivation for testing the strategic interaction hypothesis is to determine whether the driving force behind the participation decision of a district is the competition from neighboring districts, with a potential threat of taking away students and funding. The discrete choice participation decision is modeled using a Bayesian spatial probit model. The results suggest that a given district’s probability of participation is positively affected by the participation decisions of its neighbors and this provides strong evidence of horizontal interaction in school choice policies. Copyright Springer-Verlag 2013

Suggested Citation

  • Soma Ghosh, 2013. "Participation in school choice: a spatial probit analysis of neighborhood influence," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 295-313, February.
    • Handle: RePEc:spr:anresc:v:50:y:2013:i:1:p:295-313
    DOI: 10.1007/s00168-011-0469-x
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    References listed on IDEAS

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    1. Rincke, Johannes, 2007. "Policy diffusion in space and time: The case of charter schools in California school districts," Regional Science and Urban Economics, Elsevier, vol. 37(5), pages 526-541, September.
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    5. Jan K. Brueckner, 2003. "Strategic Interaction Among Governments: An Overview of Empirical Studies," International Regional Science Review, , vol. 26(2), pages 175-188, April.
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    7. Johannes Rincke, 2006. "Policy innovation in local jurisdictions: Testing for neighborhood influence in school choice policies," Public Choice, Springer, vol. 129(1), pages 189-200, October.
    8. Rincke, Johannes, 2006. "Competition in the public school sector: Evidence on strategic interaction among US school districts," Journal of Urban Economics, Elsevier, vol. 59(3), pages 352-369, May.
    9. Murdoch, James C. & Sandler, Todd & Vijverberg, Wim P. M., 2003. "The participation decision versus the level of participation in an environmental treaty: a spatial probit analysis," Journal of Public Economics, Elsevier, vol. 87(2), pages 337-362, February.
    10. Case, Anne, 1992. "Neighborhood influence and technological change," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 491-508, September.
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    Cited by:

    1. Brasington, David & Flores-Lagunes, Alfonso & Guci, Ledia, 2016. "A spatial model of school district open enrollment choice," Regional Science and Urban Economics, Elsevier, vol. 56(C), pages 1-18.

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    More about this item

    Keywords

    C21; D78; H41; I28;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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