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Private/Public School Choice and Student Performance Revisited

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  • Lonnie Stevans
  • David Sessions

Abstract

This paper examines the differences in an index of standardized test performance of urban private/public school seniors by race, using a sample of 4172 students from the 1992 US National Education Longitudinal Survey. In addition to using 257 exogenous variables to control for individual traits, family background, etc., we treat both student performance and school choice as jointly endogenous in the context of a simultaneous equations model with a latent variable: school choice. We find that while White students perform marginally better in private relative to public schools, a performance gain for private school minority students was not realized. Given the additional finding that school characteristics/quality do not affect minority student performance, we conclude that 'school choice' is mostly taken advantage of by White urban residents.

Suggested Citation

  • Lonnie Stevans & David Sessions, 2000. "Private/Public School Choice and Student Performance Revisited," Education Economics, Taylor & Francis Journals, vol. 8(2), pages 169-184.
  • Handle: RePEc:taf:edecon:v:8:y:2000:i:2:p:169-184
    DOI: 10.1080/096452900410730
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    References listed on IDEAS

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    Cited by:

    1. Cecilia Adrogué & Eugenia Orlicki, 2021. "La secundaria argentina en la encrucijada. ¿Qué factores están asociados a los logros académicos en el último año de la escuela secundaria en Argentina?," Asociación Argentina de Economía Política: Working Papers 4431, Asociación Argentina de Economía Política.
    2. Jorge Calero & Josep-Oriol Escardíbul, 2007. "Evaluación de servicios educativos: el rendimiento en los centros públicos y privados medido en PISA-2003," Hacienda Pública Española, IEF, vol. 183(4), pages 33-66, december.
    3. M-J Mancebón & J Calero & Á Choi & D P Ximénez-de-Embún, 2012. "The efficiency of public and publicly subsidized high schools in Spain: Evidence from PISA-2006," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(11), pages 1516-1533, November.
    4. Ramos, Raul & Duque, Juan Carlos & Nieto, Sandra, 2016. "Decomposing the Rural-Urban Differential in Student Achievement in Colombia using PISA Microdata/Una descomposición del diferencial rural-urbano en los rendimientos educativos en Colombia a partir de ," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 34, pages 379-412, Mayo.
    5. Cecilia Adrogué & Juan Segnana, 2020. "Factores socioeconómicos del hogar en la elección del tipo de gestión del establecimiento educativo en Argentina," Asociación Argentina de Economía Política: Working Papers 4301, Asociación Argentina de Economía Política.
    6. Sandra Nieto & Raul Ramos, 2014. "“Decomposition of Differences in PISA Results in Middle Income Countries”," AQR Working Papers 201404, University of Barcelona, Regional Quantitative Analysis Group, revised Mar 2014.
    7. Marchionni, Mariana & Vazquez, Emmanuel & Pinto, Florencia, 2012. "Desigualdad educativa en la Argentina. Análisis en base a los datos PISA 2009 [Education Inequality in Argentina. An analysis based on PISA 2009 data]," MPRA Paper 56420, University Library of Munich, Germany.
    8. Marchionni, Mariana & Pinto, Florencia & Vazquez, Emmanuel, 2013. "Determinantes de la desigualdad en el desempeño educativo en la Argentina [Determinants of the inequality in PISA test scores in Argentina]," MPRA Paper 56421, University Library of Munich, Germany.
    9. Raul Ramos & Juan Carlos Duque & Sandra Nieto, 2012. "“Decomposing the Rural-Urban Differential in Student Achievement in Colombia Using PISA Microdata”," AQR Working Papers 201210, University of Barcelona, Regional Quantitative Analysis Group, revised Mar 2013.
    10. Nam, Jaehyun & Ansong, David, 2015. "The effects of a dedicated education savings account on children's college graduation," Economics of Education Review, Elsevier, vol. 48(C), pages 198-207.
    11. Jorge Calero & Josep-Oriol Escardíbul, 2007. "Evaluación de servicios educativos: el rendimiento en los centros públicos y privados medido en PISA-2003," Hacienda Pública Española / Review of Public Economics, IEF, vol. 183(4), pages 33-66, december.
    12. Adachi, Yoshimi & Kitamura, Tomoki, 2021. "Impact of the Financial Support Program for High School Students in Japan," MPRA Paper 106769, University Library of Munich, Germany.
    13. Wikstrom, Christina & Wikstrom, Magnus, 2005. "Grade inflation and school competition: an empirical analysis based on the Swedish upper secondary schools," Economics of Education Review, Elsevier, vol. 24(3), pages 309-322, June.
    14. Sheng-Tung Chen & Hsiao-I. Kuo & Chi-Chung Chen, 2012. "Estimating the extreme behaviors of students performance using quantile regression -- evidences from Taiwan," Education Economics, Taylor & Francis Journals, vol. 20(1), pages 93-113, December.
    15. Sandra Nieto & Raul Ramos & Juan Carlos Duque, 2012. "Rural-urban differences in educational outcomes: Evidence for Colombia using PISA microdata," ERSA conference papers ersa12p388, European Regional Science Association.

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