Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 91 - 100 of 109
Study Type: Causal Impact Analysis
The study ’s objective was to examine the impact of a transitional work experience (TWE) program, within the Veterans Health Administration’s (VHA’s) Compensated Work Therapy (CWT) program, on…Study Type: Causal Impact Analysis
The study’s objective was to examine the effects of veteran benefits on the post-service education and earnings of soldiers who served in the Vietnam era and in the first years of the All-Volunteer…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of an occupational skills training program on employment and earnings outcomes. The study used statistical methods to compare the outcomes of people…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Minnesota Department of Correction’s EMPLOY work release program on post-release employment, earnings, and recidivism outcomes for incarcerated…Study Type: Causal Impact Analysis
The study examined the impact of the repeal of the earnings test under the Senior Citizens Freedom to Work Act of 2000 on the labor supply and earnings of older men ages 62 to 72. The authors used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participating in the Integrated Product Development (IPD) program on dislocated workers’ entrepreneurial activities. The authors used data from a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the JOBS II program on long-term employment, earnings, and monthly hours worked. The authors randomly assigned eligible unemployed individuals to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of employment discrimination charges filed with the Equal Employment Opportunity Commission (EEOC) on the wages of African American and white women.…Study Type: Causal Impact Analysis
This study’s objective was to assess the impact of state-level fair employment legislation, enacted in the 1940s through the 1960s, on labor market outcomes including income, unemployment, and…Study Type: Causal Impact Analysis
The study examined the impact of the Worker Profiling Reemployment Services program for Unemployment Insurance (UI) claimants in Wisconsin on several outcomes: the rate at which the UI claimants…
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.
