Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of reinstated SNAP work requirements on employment and SNAP participation for able-bodied adults without dependents (ABAWDs). The study used a…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 federal and state Medicaid expansions on hours worked per week, annual earned income, and participation in other public safety net programs among…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Michigan Opportunity and Skills Training (MOST)/Work First on public benefit receipt, employment, and earnings. The study was a randomized…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Community and Technical College (CTC) Job Preparatory Training on employment rates, average quarterly earnings, and benefit receipt of high school…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Dislocated Worker program on the employment rate, earnings, and benefit receipt of low-income adults who are…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Trade Adjustment Assistance (TAA) Program on the employment, earnings, and benefit receipt of dislocated workers in Indiana. The author used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Personal Roads to Individual Development and Employment (PRIDE) program on employment, earnings, and public assistance receipt. The study was a…Study Type: Causal Impact Analysis
The study examined the impact of the Minnesota Tier 2 program on employment, earnings, and receipt of public assistance for unemployed single parents. The study was a randomized controlled trial. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of different ways of framing retirement information on the age at which individuals intended to claim Social Security benefits. The authors randomly…
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.