Policy Challenge
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Program Type
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3
4
6
Learning In Secondary
Vouchers, subsidies or scholarships (eLS)
5
1
Evaluation Effect Average Age Observations Experimental Evaluation Country Intervention
Lara 2009 3 Grade 8 44,295 No Chile Attending private voucher school
Rouse 1998 2 Grade 5 3,679 Yes United States Vouchers for attending independent secular private schools
Barrera-Osorio 2015 12 Grade 10 2,356 Yes Uganda Schools received $20 per term per eligible student
Wolf 2010 6 N/A 2,308 Yes United States $9242 scholarship for attending private school
Abdulkadiroglu 2015 -4 Grade 7 584 Yes United States $5546 voucher that student could use to attend eligible schools
Angrist 2002 i 18 Grade 6 568 Yes Colombia Vouchers of $277 covering 50% of cost of private secondary school

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 (%)
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