The study’s objective was to examine the impact of an occupational skills training program on employment and earnings outcomes.
The study used statistical methods to compare the outcomes of people…
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 173
Study Type: Causal Impact Analysis
Study Type: Causal Impact Analysis
The study’s objective was to examine the relationship between employees’ intent to leave (that is, employees’ stated intentions to leave the firm in the next year) and their participation in on-the-…Study Type: Causal Impact Analysis
The study examined the relationship between Certified Peer Specialist training and employment for training participants. The authors compared employment rates for participants before and after the…Study Type: Causal Impact Analysis
The study examined the impact of a theoretical increase in Supplemental Security Income (SSI) benefits on the preretirement employment outcomes for likely SSI participants ages 60 to 64. Using data…Study Type: Causal Impact Analysis
The study examined the relationship between generous state Supplemental Security Income (SSI) benefits and the employment of older worker nearing SSI eligibility age. The authors used a regression…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Minnesota Department of Correction’s EMPLOY work release program on post-release employment, earnings, and recidivism outcomes for incarcerated…Study Type: Causal Impact Analysis
The study’s objective was to examine the relationships between the Ready4Work mentoring program and post-release employment and recidivism outcomes among previously incarcerated adults. The study…Study Type: Causal Impact Analysis
The study examined the impact of changes to the Social Security earnings test in 1996 and 2000 on employment outcomes. The authors used a nonexperimental design and the data from the Current…Study Type: Causal Impact Analysis
The study examined the impact of the repeal of the earnings test under the Senior Citizens Freedom to Work Act of 2000 on the labor supply and earnings of older men ages 62 to 72. The authors used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the JOBS II program on long-term employment, earnings, and monthly hours worked. The authors randomly assigned eligible unemployed individuals to…
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.
