Policy Challenge
Path 2 Copy Created with Sketch.
Program Type
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3
4
4
Formality
Technical skills in-classroom training (eAF)
6
0
Evaluation Effect Average Age Observations Experimental Evaluation Country Intervention
Reis 2015 1 21-54 178,636 No Brazil Practical application of vocational in-classroom training
Diaz 2006 10 19 6,208 No Peru Vocational training and an internship at private firms
Hirshleifer 2016 1 27 5,702 Yes Turkey 3-month vocational training programme
Miller 2003 -65 19 1,221 Yes United States Occupational training according to employers needs in a worklike setting

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 (%)
Diaz 2006 10 6 13 28
Hirshleifer 2016 1 -1 3 34
Miller 2003 -65 -484 354 0
Reis 2015 1 0 1 38
Overall