Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 101 - 107 of 107
Study Type: Causal Impact Analysis
The study examined the impact of the Worker Profiling Reemployment Services program for Unemployment Insurance (UI) claimants in Wisconsin on several outcomes: the rate at which the UI claimants…Study Type: Causal Impact Analysis
The study’s objective was to examine the effects of the Small Business Innovation Research (SBIR) program, a competitive program providing small businesses with funding for technological…Study Type: Causal Impact Analysis
The report’s objective was to examine the impacts of the Demonstration to Maintain Independence and Employment (DMIE) in the Minnesota site. The DMIE was designed to prevent or delay people with…Study Type: Causal Impact Analysis
The study examined the impact of the potential wage replacement rate through Unemployment Insurance (UI) on the probability of transitioning to non-employment. The study used a nonexperimental…Study Type: Causal Impact Analysis
The study examined the impact of adult vocational rehabilitation (VR) services on employment outcomes for African American and white women. The authors used a statistical model and data from a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the expansion of Medicaid to low-income adults in 2014 on retirement rates of workers ages 55 to 64. The authors used a nonexperimental analysis to…Study Type: Causal Impact Analysis
The study examined the impact of the generosity of unemployment insurance (UI) benefits on retirement decisions. The study used a statistical model and data from the March Current Population Survey…
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.
