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 objective of the study was to examine the impact of Mexico’s conditional cash transfer program (PROGRESA/Oportunidades) on child labor and school attendance for children ages 8 to 17 across 3…Study Type: Causal Impact Analysis
The objective of the study was to assess the impact of Kenya’s Cash Transfer to the Orphaned and Vulnerable Children (CT-OVC) program on children’s participation in work and school. The study used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Mexico’s conditional cash transfer program (PROGRESA/Oportunidades) on school enrollment and employment in paid activities for children ages 6 to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Mexico’s conditional cash transfer program (PROGRESA/Oportunidades) on long-term schooling and work for children ages 9 to 15 (during the time of…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Red de Oportunidades (RdO), a conditional cash transfer program in Panama, on child labor and school enrollment. The authors used cross-sectional…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 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 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…Study Type: Causal Impact Analysis
The purpose of the study was to assess the impact of the Bono de Desarrollo Humano (BDH) program on child labor and school enrollment for children 6-17 years old. The study used a randomized…
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.