Child labor-Low-Favorable impacts

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Productive safety net program and children’s time use between work and schooling in Ethiopia (Woldehanna 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Direct Support Program (DSP) on child labor and schooling outcomes in Ethiopia. The study used a matched-comparison group design. Using data…
Productive safety net program and children’s time use between work and schooling in Ethiopia (Woldehanna 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Public Work Program (PWP) on child labor and schooling outcomes in rural Ethiopia. The study used a matched-comparison group design. Using data…
Productive safety net program and children’s time use between work and schooling in Ethiopia (Woldehanna 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Agricultural Extension Support Program (AEP) on child labor and schooling outcomes in rural Ethiopia. The study used a matched-comparison group…
The heterogeneous impact of conditional cash transfers (Galiani & McEwan 2013)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Honduran Programa de Asignación Familiar (PRAF-II) conditional cash transfer program on child labor and school enrollment. The authors used…
The impact of the Kenya CT-OVC programme on children's activities (de Hoop, Ranzano, and Rosati 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The purpose of the study was to assess the impact of the Kenya Cash Transfer for Orphans and Vulnerable Children Program on child labor and school participation. The study used a randomized…
How do educational transfers affect child labor supply and expenditures? Evidence from Indonesia of impact and flypaper effects (De Silva & Sumarto 2015)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The objective of this study was to assess the impact of the Cash Transfer for the Poor Students Programme/Bantuan Siswa Miskin (BSM) program on child labor. The study used a nonexperimental design…
Wealth differentials in the impact of conditional and unconditional cash transfers on education: Findings from a community-randomised controlled trial in Zimbabwe (Fenton et al. 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the effects of conditional cash transfers (CCT) and unconditional cash transfers (UCT) on child labor and schooling outcomes. This summary focuses on the…
Limiting child labor through behavior-based income transfers: An experimental evaluation of the PETI program in rural Brazil (Yap et al. 2009)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Programa de Erradicacao do Trabalho Infantil (PETI) or Program to Eradicate Child Labor on child labor and hours in school. The authors used an…
Integrating economic strengthening and family coaching to reduce work-related health hazards among children of poor households: Burkina Faso (Karimli et al. 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Trickle Up and Trickle Up Plus programs on children’s exposure to work-related hazards and abuse, and children’s work-related health outcomes.…
Integrating economic strengthening and family coaching to reduce work-related health hazards among children of poor households: Burkina Faso (Karimli et al. 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Trickle Up and Trickle Up Plus programs on children’s exposure to work-related hazards and abuse, and children’s work-related health outcomes.…

CLEAR Icon Key

Below is a key for icons used to indicate important details about a study, such as its type, evidence rating, and outcome findings.

High Causal Evidence

Strong evidence the effects are caused by the examined intervention.
Moderate Causal Evidence

Evidence that the effects are caused to some degree by the examined intervention.
Low Causal Evidence

Little evidence that the effects are caused by the examined intervention.
Causal Impact Analysis

Uses quantitative methods to assess the effectiveness of a program, policy, or intervention.
Descriptive Analysis

Describes a program, policy, or intervention using qualitative or quantitative methods.
Implementation Analysis

Examines the implementation of a program, policy, or intervention.
Favorable

The study found at least one favorable impact in the outcome domain, and no unfavorable impacts.
Mixed

The study found some favorable and some unfavorable impacts in the outcome domain.
None

The study found no statistically significant impacts in the outcome domain.
Unfavorable

The study found at least one unfavorable impact in the outcome domain, and no favorable impacts.
Not applicable

Not applicable because no outcomes were examined in the outcome domain.
Favorable - low evidence

The study found at least one favorable impact in the outcome domain, and no unfavorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Mixed - low evidence

The study found some favorable and some unfavorable impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
None - low evidence

The study found no statistically significant impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Unfavorable - low evidence

The study found at least one unfavorable impact in the outcome domain, and no favorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.