Policy Challenge
Path 2 Copy Created with Sketch.
Program Type
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7
7
11
Adult Employment
Technical skills in-classroom and OJT training (eAEM)
13
0
Evaluation Effect Average Age Observations Experimental Evaluation Country Intervention
Das 2017 14 14-18 2,946 Yes Bangladesh Technical and soft-skills in-classroom training and on-the job training on specific trades
Skemer 2017 29 16-24 2,678 Yes United States Job-readiness, personal development activities, internship and follow-up
Acero 2009 1 23 2,661 Yes Chile Technical in-classroom training and on-the-job instruction
Rosas 2017 3 15-35 1,446 Yes Sierra Leone Literacy/numeracy classes, job skills in-classroom and on-the-job training
Butler 2012 i 3 29 1,217 Yes United States Job search and job-readiness instruction and/or preparation for General Exam
Bloom 1990 i -1 44.5 705 Yes United States Job-search assistance or in-classroom training or on-the-job training
Soares 2017 0 18-35 655 Yes Brazil Secondary-level vocational education courses and on-the-job training
Bloom 1990 iii 3 44.5 636 Yes United States Job search assistance and training
Bloom 1990 ii 44.5 530 Yes United States Job search assistance plus in-classroom and on-the-job training
Alcid 2014 12 21 468 Yes Rwanda Work readiness in-classroom training with an internship
Kluve 2008 i 14 35 198 No Poland On-the-job technical training and at institutes

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 (%)
Acero 2009 1 -1 4 9
Alcid 2014 12 8 16 9
Bloom 1990 i -1 -3 2 9
Bloom 1990 ii -2 2 10
Bloom 1990 iii 3 -3 8 9
Butler 2012 i 3 -1 7 9
Das 2017 14 10 19 9
Kluve 2008 i 14 4 24 8
Rosas 2017 3 0 6 9
Skemer 2017 29 27 31 10
Soares 2017 0 -7 7 9
Overall