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 study's objective was to examine the impact of Job Opportunities and Basic Skills Training (JOBS) on earnings, education, employment, and public benefits receipt outcomes. This profile focuses…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Job Opportunities and Basic Skills Training (JOBS) on earnings, education, employment, and public benefits receipt outcomes. This profile focuses…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of two food-for-education programs (a school meals program and a take home rations program) on education and labor outcomes for children. This summary…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of STEP Forward on employment, earnings, and education outcomes. The authors used a randomized controlled trial to estimate impacts of enrollment in…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Productive Social Safety Net (PSSN) program on child labor and school participation outcomes. This summary focuses on the comparison of the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Summer Youth Employment Program (SYEP) on the employment rate, earnings, and college enrollment of New York City youth 14 to 21 years old. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of providing low-income families with private market housing vouchers on employment, earnings, receipt of public assistance, and receipt of education…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of workplace literacy programs on workers’ literacy and career and educational attainment. The authors randomly assigned workers in three sites to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of two treatments—cognitive-didactic rehabilitation and functional-experiential rehabilitation—on return to work/school and functional independence…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…
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.