The study’s objective was to examine the impact of a conditional cash transfer program, Program Keluarga Harapan (PKH), on child school and work participation.
The study was a randomized controlled…
Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 1 - 10 of 42
Study Type: Causal Impact Analysis
Study Type: Causal Impact Analysis
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…Study Type: Causal Impact Analysis
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…Study Type: Causal Impact Analysis
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…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of two food-for-education programs (a school meals program and a take home rations program) on education and labor outcomes for children. This summary…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of two food-for-education programs (a school meals program and a take home rations program) on education and labor outcomes for children. This summary…Study Type: Causal Impact Analysis
The purpose of the study was to examine the impact of Combating Worst Forms of Child Labor by Reinforcing Policy Response and Promoting Sustainable Livelihoods and Educational Opportunities in Egypt…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 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.