Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 51 - 60 of 81
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 for children ages 8 to 17. Using survey data from a cluster…Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of a monthly cash transfer program on household food consumption, resources, and work, including child labor. The study used survey data from a…Study Type: Causal Impact Analysis
The objective of this study was to examine the impact of the conditional cash transfer program, Familias en Acción, on children’s work and school participation in Columbia. The study 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 objective of the study was to examine the impact of the Bolsa Familia conditional cash transfer program on child labor in Brazil. The study used a nonexperimental design to compare labor…Study Type: Causal Impact Analysis
The objective of the study was to examine the impact of the Philippines conditional cash transfer program, Pantawid Pamilyang Pilipino Program (4Ps), on child labor and school attendance. The…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 purpose of the study was to examine the impact of Nicaragua’s Red de Proteccion Social (RPS) conditional cash transfer (CCT) program on attending school, working, and hours worked for children…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 study’s objective was to examine the impact of two components of the DESTINO program—CEC (a tutoring course) and EPA (an alternative primary school program)—on children’s participation in…
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.