Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 71 - 80 of 81
Study Type: Causal Impact Analysis
The study’s objective was to analyze the impact of Brazil’s Bolsa Escola program on school enrollment, school progression, and child labor for children ages 6 to 15 in rural areas. Using data from…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a conditional cash transfer program, Red de Protección Social (RPS), in Nicaragua on child labor outcomes for children who are working. The study…Study Type: Causal Impact Analysis
The purpose of the study was to examine the impact of the Bolsa Escola program, which provided conditional cash transfers to families in Brazil, on child labor and school enrollment. The authors…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Red de Proteccion Social (RPS) cash transfer program on school attendance and enrollment and on child labor for children aged 7-13 in rural…Study Type: Causal Impact Analysis
The study’s objective was to analyze the impact of a conditional cash transfer program (Ingreso Ciudadano) on school attendance (ages 8 to 14) and child labor (ages 6 to 14) among children in…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Tekoporã conditional cash transfer program on children’s participation in non-domestic labor and school attendance. The author used 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…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 Jaring Prengaman Sosial (JPS), a scholarship program in Indonesia, on child labor and school enrollment. The author used data from an annual…
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.