Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 121 - 130 of 172
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of more-stringent work search requirements for unemployment insurance (UI) claimants on earnings, employment, and UI benefit receipt outcomes over a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of less-stringent work search requirements for unemployment insurance (UI) claimants on earnings, employment, and UI benefit receipt over a nine-year…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’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 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
The study’s objective was to examine the long-term impacts of the New Jersey Unemployment Insurance Reemployment Demonstration Project on the unemployment insurance (UI) receipt, employment, and…Study Type: Causal Impact Analysis
This study’s objective was to assess the effectiveness of Pennsylvania and Washington programs that aimed to encourage faster reemployment among Unemployment Insurance (UI) recipients by offering…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the WorkAdvance sectoral training program at the Towards Employment site on employment, earnings, education, and training from 2011 to 2015. The…Study Type: Causal Impact Analysis
The study examined the impact of a 2001 expansion in eligibility for Disability Compensation (DC) to cover type 2 diabetes for Vietnam-era veterans on their employment, earnings, and public benefit…
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.
