Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 111 - 120 of 671
Study Type: Causal Impact Analysis
The study's objective was to evaluate the impact of four employment coaching programs serving Temporary Assistance for Needy Families (TANF) recipients and adults with low incomes on earnings and…Study Type: Causal Impact Analysis
The study's objective was to evaluate the impact of four employment coaching programs serving Temporary Assistance for Needy Families (TANF) recipients and adults with low incomes on earnings and…Study Type: Causal Impact Analysis
The study's objective was to evaluate the impact of four employment coaching programs serving Temporary Assistance for Needy Families (TANF) recipients and adults with low incomes on earnings and…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Opportunity Zones (OZ) on employment and earnings.The study used a nonexperimental matched comparison group design. Using data from the Community…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of South Carolina’s Family Independence (FI) program on participant’s earnings.The study used a nonexperimental design to compare the outcomes of FI…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of salary history bans on sex gaps in employment, earnings, and wages.The author used a difference-in-difference design to estimate the impacts of…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of GED completion during incarceration on post-release employment and earnings.The study used a nonexperimental design to compare the outcomes of GED…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Civilian Conservation Corps (CCC) on lifetime earnings.The study used a nonexperimental design to estimate the lifetime earnings of CCC participants…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 at least one adult already on…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…
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.