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 60
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Affordable Care Act (ACA) Medicaid expansion among documented agricultural workers on health insurance coverage; employer-paid health insurance…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of an integrated drug counseling and employment intervention on employment, earnings, drug use, and HIV risk behaviors among clients in methadone…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Vocational Rehabilitation (VOC) programs on the employment rate, earnings, and benefit receipt of adults with disabilities in Washington State. The…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Project SEARCH on employment and wage outcomes. The authors used an interrupted time series to examine the outcomes of emerging adults with…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Benefit Offset National Demonstration (BOND) on earnings and public benefit receipt. The study was a randomized controlled trial. Using…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of engaging in transitional work on outcomes measuring competitive employment and income for U.S. military veterans with post-traumatic stress…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of state ERA ratification on labor market outcomes for women. The authors used a difference-in-differences design to estimate the…Study Type: Causal Impact Analysis
The study’s objective was to examine the relationship between the extended length of time of the Optional Practical Training (OPT) program’s temporary work permit for foreign STEM graduates and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of California’s 2004 Paid Family Leave Act (PFLA) on take-up of paid leave, along with employment, wage earnings, and self-employment income for…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Transitional Community Jobs (TCJ) on employment, earnings, and public benefit receipt outcomes. The study used a nonexperimental comparison group…
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.
