Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of financial schooling incentives (a scholarship and stipend) on school attendance and carpet weaving (a worst form of child labor) among youth ages…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of financial schooling incentives (a scholarship and stipend) on school attendance and carpet weaving (a worst form of child labor) among youth ages…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of two different financial literacy programs, Aflatoun and Honest Money Box, on child labor and school attendance of children in grades 5 and 7 in…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of two different financial literacy programs, Aflatoun and Honest Money Box, on child labor and school attendance of children in grades 5 and 7 in…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a conditional cash transfer on school enrollment and child labor. The study was a randomized controlled trial conducted in in low-income villages…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a Nicaraguan conditional cash transfer program, Red de Proteccion Social (RPS), on child work participation and school enrollment. The study was a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Subsidios Condicionados a la Asistencia Escolar, a conditional cash transfer program (CCT), on school participation and child labor. This summary…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Subsidios Condicionados a la Asistencia Escolar, a conditional cash transfer program (CCT), on school participation and child labor. This summary…
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.