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 23
Study Type: Causal Impact Analysis
The study examined whether the strong age discrimination laws moderated the impact of the Great Recession on employment outcomes of older workers. The study used statistical models and the data from…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 the Small Business Innovation Research (SBIR)and Small Business Technology Transfer (STTR) programs on employment.The study used a nonexperimental…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Oregon’s four-day school week (4dsw) policy on employment and earnings and wages.The authors used a difference-in-differences design to estimate the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Affordable Care Act’s (ACA) Medicaid expansion on employment and earnings for individuals in households with employer health insurance and…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Affordable Care Act’s (ACA) Medicaid expansion on employment and earnings for individuals in uninsured households with incomes below 100% of the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the time-limit reinstatement related to the work requirements of SNAP Able-Bodied Adults Without Dependents (ABAWD) on employment and earnings. This…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the time-limit reinstatement related to the work requirements of SNAP Able-Bodied Adults Without Dependents (ABAWD) on employment and earnings. This…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of automatic expungement state policies on employment for Black individuals aged 25 to 64 with no college education. The author investigated similar…Study Type: Causal Impact Analysis
The study examined the impact of Disability Compensation (DC) enrollment and benefit amount on labor force participation and earnings. The authors also examined the impact of the expansion of…
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.
