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Effective Schools Do Exist: Low Income Children's Academic Performance in Chile

The aim of this article is twofold. First, we show that despite students' disadvantaged backgrounds and despite not having more financial resources than similar schools, there are schools in Chile that serve low-income students and that obtain superior academic outcomes. Second, we present qualitative evidence to identify school and classroom processes that might explain these good results. Specifically, we analyse a network of Chilean private voucher schools called Sociedad de Instrucci�n Primaria (SIP). In the econometric analysis we use a number of propensity score-based estimation methods to find that SIP students' achievement is not due to observables or selection on measured variables. We also perform a number of interviews in SIP schools and other neighbouring schools. Our qualitative analysis suggests that having children's learning as a central and permanent goal, an aim that is shared and that drives the community's efforts, seems to best summarize what makes SIP schools special.

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File URL: http://www.uai.cl/RePEc/uai/wpaper/wp_010.pdf
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Paper provided by Adolfo Ibáñez University, School of Government in its series Working Papers with number wp_010.

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Date of creation: Apr 2011
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Handle: RePEc:uai:wpaper:wp_010
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Web page: http://www.uai.cl/RePEc/uai
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  1. Hanushek, Eric A, 1995. "Interpreting Recent Research on Schooling in Developing Countries," World Bank Research Observer, World Bank Group, vol. 10(2), pages 227-46, August.
  2. Guido W. Imbens, 2003. "Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review," NBER Technical Working Papers 0294, National Bureau of Economic Research, Inc.
  3. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
  4. Guido Imbens & Jeffrey Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  5. Richard Emsley & Mark Lunt & Andrew Pickles & GraHam Dunn, 2008. "Implementing double-robust estimators of causal effects," Stata Journal, StataCorp LP, vol. 8(3), pages 334-353, September.
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