Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 411 - 420 of 610
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
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
This study’s objective was to assess the effectiveness of Pennsylvania and Washington programs that aimed to encourage faster reemployment among Unemployment Insurance (UI) recipients by offering…Study Type: Causal Impact Analysis
The study examined the impact of the 2007 Work Opportunity Tax Credit (WOTC) on the employment and earnings outcomes among veterans with disabilities. The authors used a nonexperimental approach and…Study Type: Causal Impact Analysis
The study’s objective was to examine the Workforce Investment Act (WIA) Adult Program’s impact on workers’ employment and earnings in 12 states. The authors analyzed administrative data to compare…Study Type: Causal Impact Analysis
The study’s objective was to examine the Workforce Investment Act (WIA) Dislocated Worker Program’s impact on workers’ employment and earnings in 12 states. The authors analyzed administrative data…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the WorkAdvance sectoral training program at the Towards Employment site on employment, earnings, education, and training from 2011 to 2015. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the University of the District of Columbia Community College (UDC-CC) grant-funded healthcare and hospitality programs on education, earnings, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the University of the District of Columbia Community College (UDC-CC) grant-funded healthcare and hospitality programs on earnings and employment…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Heroes for Hire (H4H) program on education and earnings outcomes. The authors used a nonexperimental design to compare the education outcomes…
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.