Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 581 - 590 of 776
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of an embedded cognitive rehabilitation intervention on employment and earnings. The study was a randomized controlled trial with the authors using…Study Type: Causal Impact Analysis
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…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’s objective was to examine the impact of receiving year-round Pell (YRP) funding on community college students’ enrollment, credit accumulation, degree completion, employment, and earnings…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 effect of availability of retiree health insurance (RHI) on a person’s decision to leave a career job (a measure of retirement). Using data from the Health and Retirement…Study Type: Causal Impact Analysis
The study examined the impact of tax changes on people’s employment, retirement, and labor income outcomes. The study uses a nonexperimental approach and the data from the Health and Retirement…Study Type: Causal Impact Analysis
The study examined the impact of changes to the Full Retirement Age (FRA) on labor force exit, Old Age and Survivor’s Insurance (OASI) claims, and retirement. The study uses a statistical model and…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…
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.