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Public- and Private-School Competition: The Spatial Education Production Function

In: Time and Space in Economics

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  • David M. Brasington

    (Louisiana State University)

Abstract

Summary School vouchers may increase the competition that public-school districts face. Greater competition may spur public schools to improve student outcomes, which reliably predict labor market productivity and earnings. Previous school competition studies did not use spatial statistics, so they failed to incorporate spillovers and the effect of omitted variables into their education production functions. Significant spatial effects are found in all regressions, and spatial statistics improve adjusted R 2 values. There seems to be no consistent association between private-school attendance rates and public-school achievement, or between the number of public-school districts in a county and public-school performance. Competitive effects, which seem plausible in nonspatial regressions, dissipate when spatial statistics are used. When school inputs appeared to be statistically significant in nonspatial regressions, the spatial regressions generally made the significance disappear. Poverty appeared to depress reading and writing rates, but this effect disappeared in the spatial models.

Suggested Citation

  • David M. Brasington, 2007. "Public- and Private-School Competition: The Spatial Education Production Function," Springer Books, in: Toichiro Asada & Toshiharu Ishikawa (ed.), Time and Space in Economics, chapter 10, pages 175-203, Springer.
    • Handle: RePEc:spr:sprchp:978-4-431-45978-1_10
    DOI: 10.1007/978-4-431-45978-1_10
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    Cited by:

    1. Brasington, David M. & Haurin, Donald R., 2009. "Parents, peers, or school inputs: Which components of school outcomes are capitalized into house value?," Regional Science and Urban Economics, Elsevier, vol. 39(5), pages 523-529, September.
    2. Joshua C. Hall & Donald J. Lacombe & Amir Neto & James Young, 2022. "Bayesian Estimation of the Hierarchical SLX Model with an Application to Housing Markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(2), pages 360-373, April.
    3. Joshua C. Hall & Justin M. Ross, 2010. "Tiebout Competition, Yardstick Competition, and Tax Instrument Choice: Evidence from Ohio School Districts," Public Finance Review, , vol. 38(6), pages 710-737, November.
    4. Oliver Himmler, 2009. "The Effects of School Competition on Academic Achievement and Grading Standards," CESifo Working Paper Series 2676, CESifo.
    5. Han, Kwideok & Whitacre, Brian E., 2018. "Student Performance and School Size: A Two-stage Spatial Quantile Regression Approach to Evaluate Oklahoma High Schools," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266597, Southern Agricultural Economics Association.

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