Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 11 - 20 of 25
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of different ways of framing retirement information on the age at which individuals intended to claim Social Security benefits. The authors randomly…Improving basic skills: The effects of adult education in welfare-to-work programs (Bos et al. 2002)
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of both education- and employment-focused welfare-to-work programs on earnings and public benefit receipt. The study was a randomized controlled trial…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Milwaukee Safe Street Prisoner Release Initiative on employment, earnings, public benefit receipt, and recidivism. Drawing on administrative…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of reemployment services through the Worker Profiling and Reemployment System (WPRS) on unemployment insurance (UI) benefit receipt and earnings for…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of reemployment services through the Worker Profiling and Reemployment System (WPRS) on unemployment insurance (UI) benefit receipt and earnings for…Study Type: Causal Impact Analysis
The study examined the impact of the Pennsylvania Reemployment Bonus Demonstration on the amount of Unemployment Insurance (UI) receipt and on earnings of UI claimants approximately one year after…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Adult Program’s core, intensive, and training services on the employment rate, earnings, and benefits receipt of…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Dislocated Worker Program’s core, intensive, and training services on the employment rate, earnings, and…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 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…
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.
