The study's objective was to examine the impact of moderate unemployment insurance reforms on public benefits receipt, employment, and earnings and wages. The authors investigated similar research…
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 27
Study Type: Causal Impact Analysis
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of employer-sponsored health insurance (ESI) on wages.The study used a difference-in-differences design to compare changes in employees’ wages before…Training program impacts and the onset of the Great Recession. [TAA sample] (Heinrich & Mueser 2014)
Study Type: Causal Impact Analysis
The study’s objective was to examine whether participation in the Trade Adjustment Assistance (TAA) Program services increased participants’ earnings and, if so, whether those gains were greater…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 Supplemental Nutrition Assistance Program (SNAP) Employment and Training (E&T) pilots on employment, earnings, and public benefits receipt. This…Evaluation of Travis County investments in workforce development: 2021 update (Juniper et al., 2022)
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Workforce and Education Readiness Continuum-Travis County (WERC-TC), a consortium of four workforce development service providers in Travis…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Transition Goals, Plans, and Success (Transition GPS) program on earnings and wages, employment, and public benefits receipt.Using…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Job Training Partnership Act (JTPA) workforce development program in Massachusetts on the earnings of disadvantaged adults. The study used a…
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.
Domain
Effectiveness icon
