Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 141 - 150 of 226
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of being matched to employment through the Demand-Side Youth Offender Demonstration Project (DSYODP) Phase I on youths’ average weekly earnings. The…Study Type: Causal Impact Analysis
The study’s objective was to compare the impacts of individual training account (ITA) approaches on customers’ training completion, employment, earnings, and benefits receipt outcomes after 15…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Reemployment and Eligibility Assessment (REA) program in four states (Indiana, New York, Washington, and Wisconsin) on people’s public benefit…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Reemployment and Eligibility Assessment (REA) program in four states on people’s public benefit receipt, employment, and earnings. The authors…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of contribution matches, credit rebates, and advance notification on tax filers’ decisions about opening an individual retirement account (IRA)…Study Type: Causal Impact Analysis
The report’s objective was to evaluate the impact of Career Academies on labor market and educational outcomes 14 months after participants’ scheduled high school graduation. Subsequent reports…Study Type: Causal Impact Analysis
The report’s objective was to evaluate the impact of Career Academies on labor market and educational outcomes four years after participants’ scheduled high school graduation. Earlier reports…Study Type: Causal Impact Analysis
The report’s objective was to evaluate the impact of Career Academies on labor market participation and educational attainment over the eight years following scheduled high school graduation.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 30 months. This summary focuses on the…Study Type: Causal Impact Analysis
The study assessed the effectiveness of a reemployment bonus on the reemployment rates of Unemployment Insurance (UI) claimants with differing expectations of being recalled to their previous jobs.…
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.
