Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 41 - 50 of 81
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 the Programa de Erradicacao do Trabalho Infantil (PETI) or Program to Eradicate Child Labor on child labor and hours in school. The authors used an…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Trickle Up and Trickle Up Plus programs on children’s exposure to work-related hazards and abuse, and children’s work-related health outcomes.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Trickle Up and Trickle Up Plus programs on children’s exposure to work-related hazards and abuse, and children’s work-related health outcomes.…Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of a program developed to prevent children under 18 years of age from working on the street. The study was an interrupted time series design conducted…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 purpose of the study was to examine the impact of the Brazilian conditional cash transfer program, Bolsa Familia, on child labor and school enrollment. The authors used a nonexperimental design…Study Type: Descriptive Analysis
This objective of this study was to examine the impact of a conditional cash transfer program, National Plan for Social Emergency Assistance (PANES), on child labor and school attendance for…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…
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.