Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 161 - 170 of 511
Study Type: Causal Impact Analysis
The purpose of the study was to assess the impact of a conditional cash transfer program, the Pantawid Pamilya Pilipino Program, on children’s school attendance and participation and their…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of two Brazilian income transfer programs (Minimum Income and Bolsa Escola) on child labor and school enrollment. The authors used a nonexperimental…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 purpose of the study was to examine the impact of unconditional cash transfers on child labor, within the Bono de Desarrollo Humano (BDH) program. The study was a randomized controlled trial,…Study Type: Causal Impact Analysis
The study’s objective was to examine the effects of conditional cash transfers (CCT) and unconditional cash transfers (UCT) on child labor and schooling outcomes. This summary focuses on the…Study Type: Causal Impact Analysis
The study’s objective was to examine the effects of conditional cash transfers (CCT) and unconditional cash transfers (UCT) on child labor and schooling outcomes. This summary focuses on the…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 effects of conditional cash transfers (CCT) and unconditional cash transfers (UCT) on child labor and schooling outcomes. This summary focuses on 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…
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.