Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 11 - 20 of 81
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 the California Paid Family Leave Program (CA-PFL) on employment and wages. The study used a difference-in-differences analysis to…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Transitional Community Jobs (TCJ) on employment, earnings, and public benefit receipt outcomes. The study used a nonexperimental comparison group…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Georgia Fatherhood Program on employment and earnings. The study used a nonexperimental comparison group design. Data were collected through…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of earnings disregards—the amount of earned income that is not counted when calculating whether someone is eligible for public benefits—for welfare…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Adult Program on the earnings of low-income adults ages 18 to 64 in Washington State. The author assigned…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Youth Program on the employment and earnings of low-income youths in Indiana State. The author used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Trade Adjustment Assistance (TAA) Program on the employment and earnings of displaced workers in the manufacturing sector from 2003 to 2005.…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of subsidies paid to employers for hiring disadvantaged workers—specifically, the Work Opportunity Tax Credit and Welfare-to-Work Tax Credit—on…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Substance Abuse Case Management (SACM) program on employment, earnings, and public assistance receipt after two years. The authors attempted to…
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.
