Policy Challenge
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Program Type
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3
4
5
Firm Productivity
Gestión Habilidades sociales Contabilidad (sPY)
7
-1
Evaluación Efecto Edad promedio Observaciones Evaluación experimental País Intervención
Iacovone 2022 i 5 43 3,146 Si Colombia Componentes entrenados: Gestión + Habilidades sociales + Contabilidad
Iacovone 2022 ii -2 43 3,146 Si Colombia Componentes entrenados: Gestión + Habilidades sociales + Contabilidad
Drexler 2014 i 7 40.2 525 Si República Dominicana Componentes entrenados: Gestión + Habilidades sociales + Contabilidad
Bruhn 2018 15 42.19 314 Si México Componentes entrenados: Gestión + Habilidades sociales + Contabilidad
Anderson 2022 ii 8 37.7 271 Si Nigeria Componentes entrenados: Gestión + Habilidades sociales + Contabilidad

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).
Evaluación Efectos Valor Mínimo Valor Máximo Peso en el efecto promedio (%)
Anderson 2022 ii 8 -10 25 6
Bruhn 2018 15 -2 32 6
Drexler 2014 i 7 -8 21 8
Iacovone 2022 i 5 0 11 40
Iacovone 2022 ii -2 -7 3 40
Overall