Policy Challenge
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Program Type
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5
4
4
Enrollment In Secondary
Unconditional cash transfers (eES)
8
2
Evaluation Effect Average Age Observations Experimental Evaluation Country Intervention
Edmonds 2012 6 Grade 8 N/A Yes Ecuador Unconditional monthly transfer of $19 paid to mothers
Pellerano 2014 6 15 2,223 Yes Lesotho Unconditional $36-$75 quarterly cash transfer to households
Cameron 2009 2 Grade 7 582 Yes Indonesia Unconditional monthly transfer of $4.83-$12 to students
Miller 2012 10 17 167 Yes Malawi Unconditional $16 monthly transfer to families, $3.31 top-up per child

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).
Evaluation Effects Low Value High Value Weight in Average Effect (%)
Cameron 2009 2 1 3 46
Edmonds 2012 6 3 9 29
Miller 2012 10 2 18 11
Pellerano 2014 6 0 12 14
Overall