| Evaluación | Efecto | Edad promedio | Observaciones | Evaluación experimental | País | Intervención |
|---|---|---|---|---|---|---|
| Barrera-Osorio 2007 | -5 | Grado 11 | 118,481 | No | Colombia | Reducción de 100% en los pagos de matricula escolar |
| Gajigo 2012 | 10 | Grado 10 | 7,896 | No | Gambia | Pago de tasas escolares; el costo promedio por alumno fue $59 |
| Angrist 2002 | 0 | Grado 10 | 1,577 | Si | Colombia | Subsidios para asistir a escuelas privadas que cubrieron la inscripción y el pago mensual |
| Edmonds 2014 | 1 | 13 | 438 | Si | Nepal | Becas y estipendios mensuales condicionados a la asistencia escolar |
| Liu 2013 | 5 | Grado 10 | 395 | Si | China | Transferencia anual de $222 condicionada a la matriculación escolar |
| Yi 2015 | 8 | Grado 9 | 380 | Si | China | Transferencia anual de $240 condicionada a la matriculación escolar |
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 (%) |
|---|---|---|---|---|
| Angrist 2002 | 0 | -3 | 3 | 19 |
| Barrera-Osorio 2007 | -5 | -5 | -5 | 20 |
| Edmonds 2014 | 1 | -2 | 4 | 18 |
| Gajigo 2012 | 10 | 5 | 15 | 16 |
| Liu 2013 | 5 | 0 | 10 | 15 |
| Yi 2015 | 8 | 0 | 16 | 12 |
| Overall |