Policy Challenge
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Program Type
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6
4
5
Completing Secondary
Scholarships and achievement awards (eCS)
9
2
Evaluation Effect Average Age Observations Experimental Evaluation Country Intervention
Angrist 2009 7 Grade 12 3,821 Yes Israel Students were paid for passing test needed for university admission
Angrist 2006 6 Grade 10 3,542 Yes Colombia Vouchers for attending private schools covering fees and tuition
Angrist 2002 8 Grade 10 1,304 Yes Colombia Vouchers for attending private schools covering fees and tuition
Levitt 2016 -4 Grade 11 995 Yes United States Students or families received payments conditional on performance
Edmonds 2014 9 13 438 Yes Nepal Scholarship and monthly stipend conditional on school attendance

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 (%)
Angrist 2002 8 4 12 22
Angrist 2006 6 4 8 29
Angrist 2009 7 1 13 14
Edmonds 2014 9 5 13 20
Levitt 2016 -4 -10 2 15
Overall