Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of required contacts with employers on Unemployment Insurance (UI) claimants’ employment and UI benefit receipt. The study used a nonexperimental…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Riverside Post-Assistance Self-Sufficiency (PASS) program on employment, earnings, and public benefits receipt after two years. The Riverside…Study Type: Causal Impact Analysis
This study’s objective was to report impacts for Project NetWork. Created by the Social Security Administration (SSA), Project NetWork tested specific approaches to improving employment among Social…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…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.