THE PERFORMANCE OF PRIVATE AND PUBLIC SCHOOLS IN THE CHILEAN VOUCHER SYSTEM

By C. Sapelli, Bernardita Vial. 2002

122 citations recorded by the source corpus.

We estimate the average treatment effect (ATE) parameter and treatment on the treated (TT) for those students effectively choosing a private voucher school. With detailed individual data for both the school and the family of the student we are able to con

Subfields: Education, Safety Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/bd9dff90c78d9b15e452453c0764e2edff60cfcb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Education

1. Luke Keele
2. Alejandra Mizala
3. Florencia Torche
4. José R. Zubizarreta
5. Xiang Zhou
6. M. Hout
7. M. D. Cattaneo
8. M. Aslam

In Safety Research

1. Florencia Torche
2. José R. Zubizarreta
3. Alejandra Mizala
4. Luke Keele
5. M. Aslam

In Sociology and Political Science

1. Alejandra Mizala
2. Florencia Torche
3. José R. Zubizarreta
4. Luke Keele
5. Judea Pearl
6. Xiang Zhou
7. M. Hout
8. Dustin Tingley

Citations in the corpus

• Bringing the Schools Back in: The Stratification of Educational Achievement in the Chilean Voucher System. (2012, background): “…data found that students attending voucher schools have slightly higher educational outcomes (about 0.15–0.2 standard deviations in test scores) than those from public schools, net of individual attributes (Mizala and Romaguera, 2001; Sapelli and Vial, 2002, 2005; Anand et al., 2009).”
• The Role of School Improvement in Economic Development (2007, unknown): “78 Cf., e.g., Mizala and Romaguera (2000), Sapelli and Vial (2002), Vegas (1999) and Hsieh and Urquiola (2006).”
• Optimal Multilevel Matching in Clustered Observational Studies: A Case Study of the Effectiveness of Private Schools Under a Large-Scale Voucher System (2014, background): “A number of studies have found that private voucher schools increase test scores by at least 15% to 20% of a standard deviation (Mizala and Romaguera 2001; Anand, Mizala, and Repetto 2009) though other studies have found larger effects (Sapelli and Vial 2002, 2005).”
• Optimal Multilevel Matching in Clustered Observational Studies: A Case Study of the School Voucher System in Chile (2014, background): “The smallest effect sizes in the extant literature are 0.15 and 0.20 of a standard deviation (Sapelli and Vial 2002).”