Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 21 - 30 of 107
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 motion picture incentive (MPI) program on employment in the motion picture industry. The authors investigated similar research…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the motion picture incentive (MPI) program on employment in the motion picture industry. The authors investigated similar research questions for…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the motion picture incentive (MPI) program on employment in the motion picture industry. The authors investigated similar research questions for…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Patient Protection and Affordable Care Act’s (ACA) Medicaid expansion on transitioning from employment to unemployment, from full-time to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of tax increment financing (TIF) on employment in Kansas City, Missouri. The authors investigated similar research questions for St. Louis,…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a workplace wellness program on employees’ tenure, absenteeism, cholesterol, hypertension, and obesity. This study was a…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 Wagner-Peyser/Employment Service program on outcomes of employment, earnings, and credential completion. The study used an interrupted time…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…
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.
