Pooled effect sizes were computed using robust
variance estimation (RVE) meta-analysis.
This methodology is particularly well suited when aggregating effect
sizes across studies that (a) report multiple effect sizes for the same
overarching construct (such as poverty), (b) conduct multi-arm trials with
slight variations in the treatment assigned, and (c) report results
disaggregated by sub-groups.Pooled effect sizes were computed using robust
variance estimation (RVE) meta-analysis.
This methodology is particularly well suited when aggregating effect
sizes across studies that (a) report multiple effect sizes for the same
overarching construct (such as poverty), (b) conduct multi-arm trials with
slight variations in the treatment assigned, and (c) report results
disaggregated by sub-groups. We calculated effect sizes for intermediate
outcomes and distal outcomes. <i>Intermediate
outcomes </i>included (a) increases in total savings, (b) financial literacy,
and (c) savings attitudes, (d) investments in profitable business. We further calculated <i>distal outcomes</i> comprising: (a) business
profits, (b) food security, (c) investments in and status of health, (d)
investments in education and educational attainment, and (e) household poverty
measured through assets or expenditure/income
