Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 81 - 90 of 116
Study Type: Causal Impact Analysis
The study assessed the effectiveness of Worker Profiling and Reemployment Services (WPRS), a system for predicting which Unemployment Insurance (UI) recipients are at greatest risk of exhausting…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Job Search Incentive Experiment and the Hiring Incentive Experiment in Illinois on Unemployment Insurance (UI) benefit receipt and earnings. In…Study Type: Causal Impact Analysis
The study examined the impact of the Kentucky Worker Profiling and Reemployment Services (WPRS) on Unemployment Insurance (UI) benefit receipt and earnings. In this study, about 2,000 UI…Study Type: Causal Impact Analysis
The study estimated the impacts of Washington State’s Self-Employment and Enterprise Demonstration (SEED) and the Massachusetts Enterprise Project. Both programs sought to determine how feasible…Study Type: Causal Impact Analysis
The study examined the impact of Washington State’s Self-Employment and Enterprise Demonstration (SEED) on reemployment via self-employment for Unemployment Insurance (UI) claimants. SEED was…Study Type: Causal Impact Analysis
The study assessed the effectiveness of four interventions designed to encourage rapid reemployment among Unemployment Insurance (UI) recipients. The study was a randomized controlled trial with…Study Type: Causal Impact Analysis
The study’s objective was to assess the impacts of the Washington Reemployment Bonus experiment, which aimed to encourage faster reemployment rates among Unemployment Insurance (UI) claimants by…Study Type: Causal Impact Analysis
This study’s objective was to assess the effectiveness of the Reemployment and Eligibility Assessment (REA) Initiative in Nevada, a program that provided eligibility and reemployment case management…Study Type: Causal Impact Analysis
This study’s objective was to assess the effectiveness of the Reemployment and Eligibility Assessment (REA) Initiative in Idaho, a program that provided eligibility and reemployment case management…Study Type: Causal Impact Analysis
This study’s objective was to assess the effectiveness of the Reemployment and Eligibility Assessment (REA) Initiative in Florida, a program that provided eligibility and reemployment case…
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.
