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 217
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of reemployment programs on public benefits receipt, employment, and earnings outcomes. This profile focuses on the comparison between the Idaho…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of reemployment programs on public benefits receipt, employment, and earnings outcomes. This profile focuses on the comparison between the Florida…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of reemployment programs on public benefits receipt, employment, and earnings outcomes. This profile focuses on the comparison between the Florida…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of reemployment programs on public benefits receipt, employment, and earnings outcomes for youth. This profile focuses on the comparison between the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Growing America Through Entrepreneurship (GATE) on earnings and employment. This profile focuses on the study at the Minnesota site. The authors…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of One Summer Chicago Plus (OSC+) on education, employment, and earnings outcomes. This profile focuses on the 2013 six-week intervention. The authors…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of One Summer Chicago Plus (OSC+) on education, employment, and earnings outcomes. This profile focuses on the 2012 eight-week intervention. The…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of bans on the use of applicant credit checks by employers on employment. The study used a differences-in-differences approach to examine how…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Ban the Box (BTB) on employment of formerly incarcerated individuals in the public sector. The study used a difference-in-differences design to…Study Type: Causal Impact Analysis
The study's objective was to examine the net impact of 12 workforce development programs in Washington state on employment, earnings, and public benefits receipt outcomes. This profile focuses on the…
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.
