This report’s objective was to examine the effectiveness of the Youth Opportunity (YO) Grant Initiative, which sought to improve job prospects and education outcomes for youth in high-poverty areas…
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CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 1 - 10 of 445
Study Type: Causal Impact Analysis
Study Type: Descriptive Analysis
This report built on the process and descriptive analyses of the National Job Corps Study to understand which Job Corps program features led to positive results for applicants and participants. Job…Study Type: Implementation Analysis
This report presents a process study of the national Job Corps program. Initiated in 1964, Job Corps provides comprehensive education and employment skills training to disadvantaged youth ages 16 to…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of state disability laws—those related to antidiscrimination and reasonable accommodation for employees with disabilities—on commercial banks’ number…Study Type: Causal Impact Analysis
The study examined the impact of receiving public labor exchange (PLX) job referrals and placements on the duration of Unemployment Insurance (UI) benefit receipt for UI recipients in Oregon and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impacts of the Pennsylvania Reemployment Bonus Demonstration Project on the unemployment insurance (UI) receipt, employment, and earnings of UI claimants…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impact of the Reemployment and Eligibility Assessment (REA) Initiative in Nevada on Unemployment Insurance (UI) benefits receipt, employment, and earnings…Study Type: Causal Impact Analysis
This study’s objective was to assess the effectiveness of the Reemployment and Eligibility Assessment (REA) Initiative in Illinois, a program that provided eligibility and reemployment case…Study Type: Causal Impact Analysis
This study’s objective was to assess the effectiveness of the Reemployment and Eligibility Assessment (REA) Initiative in Nevada, a program that provided eligibility and reemployment case management…Study Type: Causal Impact Analysis
This study’s objective was to assess the effectiveness of the Reemployment and Eligibility Assessment (REA) Initiative in Idaho, a program that provided eligibility and reemployment case management…
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.