Policy Challenge
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Program Type
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2
5
10
Learning In Secondary
Tecnología (sLS)
11
-6
Evaluación Efecto Edad promedio Observaciones Evaluación experimental País Intervención
Lara 2009 3 Grado 8 44,295 No Chile Asistir a escuelas privadas subvencionadas
Rouse 1998 2 Grado 5 3,679 Si Estados Unidos Subsidios para asistir a escuelas privadas seculares independientes
Barrera-Osorio 2015 12 Grado 10 2,356 Si Uganda Las escuelas recibieron $20 por período escolar por alumno elegible
Wolf 2010 6 N/A 2,308 Si Estados Unidos Subsidios de $9242 para asistir escuelas privadas
Abdulkadiroglu 2015 -4 Grado 7 584 Si Estados Unidos Subsidios de $5546 que los alumnos podían usar para asistir a escuelas elegibles
Angrist 2002 i 18 Grado 6 568 Si Colombia Subsidios de $277 que cubren el 50% del costo de la escuela secundaria privada

Graph of Effects

This graph shows the effects of [Number of Evaluations] evaluations of [Program Type] programs. The first evaluation, [Evaluation name 1], estimated an effect of [Estimated effect Eval. 1] points (graphed with the top grey circle). Because this is an estimate, there is uncertainty about what the true effect is. But we know that the true effect will probably lie between a low value of [True effect lie between – Low value, Eval. 1] and a high value of [True effect lie between – High value, Eval. 1] (graphed with the top horizontal line). We can combine the estimates from all the evaluations and compute an average effect of [Estimated effect, Average] (graphed with the black circle). There is also uncertainty about where the true average effect is. But we know that the true average effect probably lies between [True effect lie between – Low value, Average] and [True effect lie between – High value, Average] points (graphed with the bottom horizontal line).
Evaluación Efectos Valor Mínimo Valor Máximo Peso en el efecto promedio (%)
Abdulkadiroglu 2015 -4 -18 10 2
Angrist 2002 i 18 2 34 1
Barrera-Osorio 2015 12 -1 25 2
Lara 2009 3 2 4 78
Rouse 1998 2 -3 7 9
Wolf 2010 6 0 12 8
Overall