Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 31 - 40 of 40
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Dislocated Worker Program’s core, intensive, and training services on the employment rate, earnings, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of New Jersey’s repeal of mandatory Employment Services (ES) registration for Unemployment Insurance (UI) claimants on the length of claimants’ UI…Study Type: Causal Impact Analysis
The study determined the effect of reemployment services, particularly job training for those with insufficient skills or education, on Unemployment Insurance (UI) receipt duration. The study was a…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impact of the Nevada Claimant Placement Project (NCPP), an intervention designed to accelerate labor force reattachment among Unemployment Insurance (UI)…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 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 impact of a compulsory dialogue meeting (DM) on the return to partial or full-time employment for long-term sick-listed workers in Norway. The authors…Study Type: Causal Impact Analysis
The study’s objective was to empirically test a behavioral model of job search using a reform in Hungary’s Unemployment Insurance (UI) program. The authors compared rates of exit from unemployment…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 three policy changes to the Social Security program that went into effect in 2000 on average monthly benefits and the proportion of new claimants by age. The study…
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.
