Policy Challenge
Path 2 Copy Created with Sketch.
Program Type
Path 2 Copy Created with Sketch.
15
9
16
Management Skills
Management Accounting Planning (eENS)
23
6
Evaluation Effect Average Age Observations Experimental Evaluation Country Intervention
Bulte 2017 47 43.77 2,400 Yes Vietnam Management + Accounting + Planning components trained
Gine 2011 9 37.6 2,038 Yes Pakistan Management + Accounting + Planning components trained
Buvinic 2020 2 38.29 1,871 Yes Indonesia Management + Accounting + Planning components trained
Alibhai 2019 ii -1 35.84 982 Yes Ethiopia Management + Accounting + Planning components trained
Lafortune 2018 ii 10 45 468 Yes Chile Management + Accounting + Planning components trained
Lafortune 2018 i 10 45 467 Yes Chile Management + Accounting + Planning components trained
Higuchi 2015 iv 3 44.2 451 Yes Vietnam Management + Accounting + Planning components trained
Higuchi 2015 i 3 43.7 425 Yes Vietnam Management + Accounting + Planning components trained
Higuchi 2015 vi -7 44.2 349 Yes Vietnam Management + Accounting + Planning components trained
del Mel 2014 34 37.71 306 Yes Sri Lanka Management + Accounting + Planning components trained
Higuchi 2015 v 7 44.2 284 Yes Vietnam Management + Accounting + Planning components trained
Higuchi 2015 iii 9 43.7 256 Yes Vietnam Management + Accounting + Planning components trained
Brooks 2016 8 28.9 237 Yes Kenya Management + Accounting + Planning components trained
Higuchi 2015 ii 10 43.7 172 Yes Vietnam Management + Accounting + Planning components trained
Bruhn 2013 36 28.14 170 Yes Bosnia & Herzegovina Management + Accounting + Planning components trained
Mano 2012 79 44.2 139 Yes Ghana Management + Accounting + Planning components trained

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 (%)
Alibhai 2019 ii -1 -10 7 8
Brooks 2016 8 -11 27 6
Bruhn 2013 36 8 63 4
Bulte 2017 47 40 54 8
Buvinic 2020 2 -5 8 8
del Mel 2014 34 16 52 6
Gine 2011 9 2 15 8
Higuchi 2015 i 3 -15 20 6
Higuchi 2015 ii 10 -20 41 4
Higuchi 2015 iii 9 -12 29 6
Higuchi 2015 iv 3 -13 18 7
Higuchi 2015 v 7 -16 30 5
Higuchi 2015 vi -7 -25 12 6
Lafortune 2018 i 10 -3 23 7
Lafortune 2018 ii 10 -3 22 7
Mano 2012 79 53 106 5
Overall