Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 1 - 10 of 139
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of moderate unemployment insurance reforms on public benefits receipt, employment, and earnings and wages. The authors investigated similar research…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Structured Training and Employment Transitional Services (STETS) program on employment rates, earnings, and Social Security Disability Income (…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Padua program on employment, earnings, and public benefits receipt.The study used a randomized controlled trial to assign participants to the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Affordable Care Act (ACA) Medicaid expansion on health insurance coverage and employment among unemployed adults.The study used a difference-in-…Study Type: Causal Impact Analysis
The study examined the impact of Project QUEST on employment, earnings, education, and public benefits receipt outcomes.The study was a randomized controlled trial that assigned participants to the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Job Corps on education, earnings, employment, and public benefits receipt outcomes for youth with medical limitations.Using data from a randomized…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Family Self-Sufficiency (FSS) programs on households’ earnings and public benefits receipt outcomes.The study used a nonexperimental design to…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Supplemental Nutrition Assistance Program (SNAP) Employment and Training (E&T) pilots on employment, earnings, and public benefits receipt.…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of state Medicaid expansion under the Affordable Care Act (ACA) on self-employment and receipt of Medicaid health insurance.The study used a difference…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Michigan Goal Progress Success (MI-GPS) and Application Eligibility Period/Partnership. Accountability. Training. Hope. (AEP/PATH) programs on…
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.
