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Racial Diversity and School Performance: A School Location Approach

Author

Listed:
  • Simone Angioloni

    (University of Georgia)

  • Glenn C. W. Ames

    (University of Georgia)

Abstract

This study investigates the relationships among racial diversity, school performance, and school location. Through spatial regression techniques, we find evidence of a positive relationship between achievement score and racial diversity for the fourth grade students in Georgia’s public schools. Direct effects, as defined by the spatial Durbin error model, are stronger in urban schools which are at the lowest levels of racial diversity. In contrast, indirect effects are present at the highest levels of racial diversity, namely in suburban and town schools.

Suggested Citation

  • Simone Angioloni & Glenn C. W. Ames, 2015. "Racial Diversity and School Performance: A School Location Approach," The Review of Regional Studies, Southern Regional Science Association, vol. 45(3), pages 253-277, Winter.
  • Handle: RePEc:rre:publsh:v45:y:2015:i:3:p:253-277
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    References listed on IDEAS

    as
    1. Holger Sieg & Dennis Epple & Richard Romano, 2003. "Peer effects, financial aid and selection of students into colleges and universities: an empirical analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(5), pages 501-525.
    2. de Bartolome, Charles A M, 1990. "Equilibrium and Inefficiency in a Community Model with Peer Group Effects," Journal of Political Economy, University of Chicago Press, vol. 98(1), pages 110-133, February.
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    Cited by:

    1. 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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    More about this item

    Keywords

    educational achievement; racial inequality; school location;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • R5 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis

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