This topic area focuses on interventions designed to promote faster reemployment of unemployment insurance (UI) claimants. CLEAR identified causal research on whether interventions focused on UI claimants reduced their UI benefit receipt, increased their reemployment rate, or improved their longer-term employment and earnings outcomes.
Reemployment
Status: Literature reviewed in this topic area currently covers 1978 - 2018.
Synthesis Reports
Synthesis reports look at the research evidence across studies within a topic area. They also highlight gaps in the literature, and suggest areas in which further research is needed.
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 58
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’s objective was to determine the impact of a more-stringent work test and enhanced employment services on Unemployment Insurance (UI) claimants’ benefits receipt and reemployment outcomes…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 assessed the impacts of four different work search policy approaches implemented through the Washington Alternative Work Search Experiment on Unemployment Insurance (UI) benefits receipt,…Study Type: Causal Impact Analysis
The study estimated the effect of mandatory participation in a job search workshop for Unemployment Insurance (UI) recipients separated indefinitely from their previous employers. The study was a…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 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…
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.