Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 71 - 80 of 589
Study Type: Causal Impact Analysis
The study’s objective was to examine whether participation in the Workforce Investment Act (WIA) Dislocated Worker Program services increased participants' earnings and if so, whether those gains…Training program impacts and the onset of the Great Recession. [TAA sample] (Heinrich & Mueser 2014)
Study Type: Causal Impact Analysis
The study’s objective was to examine whether participation in the Trade Adjustment Assistance (TAA) Program services increased participants’ earnings and, if so, whether those gains were greater…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 report’s objective was to examine the effects of participation in the Workforce Investment Act (WIA) Adult and Dislocated Worker programs on average earnings and employment. Results for earnings…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’s objective was to examine the impact of the Job Training Partnership Act (JTPA) workforce development program in Massachusetts on the earnings of disadvantaged adults. The study used a…Study Type: Causal Impact Analysis
The authors examine the impact of participation in Minnesota’s Affordable Homes Program (AHP) on post-release employment, earnings, and recidivism outcomes for people who were previously…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 Florida, a program that provided eligibility and reemployment case…
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.