Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 211 - 220 of 272
Study Type: Causal Impact Analysis
The report’s objective was to evaluate the Perceivable Demand List (PDL) Pilot Project on the duration of unemployment insurance (UI) receipt among recent beneficiaries laid off from high-demand…Study Type: Causal Impact Analysis
The study examined the impact of a 2001 expansion in eligibility for Disability Compensation (DC) to type 2 diabetes for Vietnam-era veterans on labor force participation, earnings, and receipt of…Study Type: Causal Impact Analysis
The study examined the impact of a 2001 expansion in eligibility for Disability Compensation (DC) to cover type 2 diabetes for Vietnam-era veterans on their employment, earnings, and public benefit…Net impact study on annual earnings for the training benefits program 2002-2012 (Aviles et al. 2015)
Study Type: Causal Impact Analysis
The study’s objective was to evaluate the impact and cost-benefit of the Training Benefits program on participants’ employment, earnings, and unemployment benefits. The study used a nonexperimental…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of an individualized case management program called Reach for Success (RFS) on employment, earnings, and public assistance receipt for recipients of…Study Type: Causal Impact Analysis
The study examined the impact of the Senior Citizens Freedom to Work Act of 2000 on employment, earnings, and public benefit receipt outcomes of workers ages 65 to 69. The study was a…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impact of pre- and post-employment job supports and intensive case management on welfare recipients’ employment and benefits receipt outcomes after four…Study Type: Descriptive Analysis
This report estimates the social return on investment of the National Guard Youth ChalleNGe program, a disciplinary and educational intervention for unemployed youth ages 16 to 18 who are not in…Study Type: Causal Impact Analysis
This is the 12-month survey impact report of the Accelerated Benefits Demonstration (ABD), an effort to provide immediate health insurance and employment and benefits counseling to new, uninsured…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of complexity, program information, and stigma on the take-up rate of the Earned Income Tax Credit (EITC) among eligible taxpayers who had not…
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.