The study’s objective was to examine the impact of subsidized employment programs in five states on the employment and earnings outcomes of unemployed people. The focus of this profile is Florida’s…
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CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 451 - 460 of 482
Study Type: Causal Impact Analysis
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participation in career or technical education (career tech) on post-high school employment for people with specific learning or intellectual…Study Type: Causal Impact Analysis
The study’s objective was to determine whether supported employment programs improved employment outcomes for Social Security Disability Insurance (SSDI) and Supplemental Security Income (SSI)…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’s objective was to examine the impact of the Veterans Health Administration (VHA) Transitional Work Experience (TWE) program on employment and income for veterans with substance abuse and…Study Type: Causal Impact Analysis
The studies’ objective was to measure the earnings impacts of the Vermont Work Incentive Initiative (VWII), which provided customized benefits counseling to Social Security disability benefit…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a work flexibility intervention called STAR (Support. Transform. Achieve. Results) on workers’ expectations of retirement age and bridge jobs. The…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’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 state-level reforms of health insurance on early retirement and Social Security retirement benefit claims. The authors used 1996–2010 data from the Health and…
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.
Little evidence that the effects are caused by the examined intervention.