Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 141 - 150 of 671
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Supplemental Nutrition Assistance Program (SNAP) Employment and Training (E&T) pilots on employment, earnings, and public benefits receipt.…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Supplemental Nutrition Assistance Program (SNAP) Employment and Training (E&T) pilots on employment, earnings, and public benefits receipt.…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of city-level minimum wage policies on wages and employment.The study used a difference-in-differences design to compare the outcomes between cities…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Health Careers for All program on earnings, employment, education, and public benefits receipt outcomes.The study used a randomized controlled…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of changes in the Earned Income Tax Credit (EITC) on employment and earnings outcomes.The study used a difference-in-differences design and matched…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Pathways to Healthcare (PTH) on earnings and education outcomes.This study used a randomized controlled trial to assign individuals to PTH or the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Michigan Goal Progress Success (MI-GPS) and Application Eligibility Period/Partnership. Accountability. Training. Hope. (AEP/PATH) programs on…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Paycheck Plus Demonstration (Paycheck Plus) on employment and earnings outcomes.The study used a randomized controlled trial to assign…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of minimum wage increases on employment and earnings.Using data from the Current Population Survey Merged Outgoing Rotation Group from 2003 to 2019,…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of a vocational rehabilitation agency-sponsored summer work experience program for transition-age youth with blind or low vision (B/LV) on competitive…
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.