Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 1 - 10 of 17
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Ban the Box (BTB) on employment. The study used a nonexperimental design to compare the employment outcomes of individuals in areas that…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Social Security coverage on public school teachers’ retirement decisions. The authors conducted…Study Type: Causal Impact Analysis
The study examined the impact of enforcement of age discrimination laws on the employment and earnings of older male workers The author used a nonexperimental regression model and data from the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Los Angeles Reconnections Career Academy (LARCA) on education, employment, earnings, and public benefits receipt outcomes. The study was a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Job Opportunities and Basic Skills Training (JOBS) on earnings, employment, education, and public benefits receipt outcomes. This profile focuses…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Trade Adjustment Assistance (TAA) Program on education and training, employment, earnings, and public benefit receipt. The study used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the JOBSTART program on employment, earnings, and education and training outcomes over a four-year follow-up period. About 2,300 youth were…Study Type: Causal Impact Analysis
The study’s objective was to examine how preventing employers from asking about an applicant’s criminal record in the early stage of the hiring process (ban-the-box) affected employment outcomes for…Study Type: Causal Impact Analysis
The study examined the impact of a time and place management (TPM) initiative at a medical provider on retirement expectations among workers ages 50 and older. The study was a randomized control…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…
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.
