Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 11 - 20 of 81
Study Type: Causal Impact Analysis
The purpose of the study was to assess the impact of Ethiopia’s Productive Safety Net Program (PSNP) on child labor and school attendance, along with the potential added benefit of participation in…Study Type: Causal Impact Analysis
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…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Atención a Crisis ("Attention to the Crisis”), a conditional cash transfer (CCT) program, on the allocation of child labor within poor households…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Atención a Crisis ("Attention to the Crisis”), a conditional cash transfer (CCT) program, on the allocation of child labor within poor households…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Atención a Crisis ("Attention to the Crisis”), a conditional cash transfer program, on the allocation of child labor within poor households with…Study Type: Causal Impact Analysis
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…Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of Malawai’s Labour Intensive Public Works program (LIPW) on children’s school participation and involvement in paid work and household chores. The…Study Type: Descriptive Analysis
The study’s objective was to examine the impact of the BRIGHT project on school participation and child labor in Burkina Faso in West Africa. The study used a regression discontinuity design.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of school scholarships in Nepal on child labor. Using the 2010 Nepal Living Standards Survey III, the authors used a nonexperimental design to compare…Study Type: Causal Impact Analysis
The study’s objective was to examine the impacts of conditional and unconditional cash transfers on child labor and education outcomes. The study was a randomized controlled trial conducted…
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.