Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 341 - 350 of 610
Study Type: Causal Impact Analysis
The study’s objective was to examine whether providing job search information to unemployed job seekers affected their labor market outcomes. German citizens identified as unemployed were randomly…Study Type: Causal Impact Analysis
This study examined impacts of the Ticket to Work (TTW) program, a work incentive program for Social Security disability recipients, on achieving Social Security Disability Insurance (SSDI) return-…Study Type: Descriptive Analysis
The article provided an overview of experimental evaluations of unemployment insurance (UI) reforms conducted from 1977 to 1992 in the United States. These reforms typically tried to improve the…Study Type: Descriptive Analysis
This issue brief highlighted the 2009 gender gap in STEM degrees, jobs, and earnings in the United States. The authors used data from the 2009 U.S. Census Bureau’s American Community Survey to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact Job Assistance Centers (JACs) and the Transition Assistance Program (TAP) offered to ex-servicemembers had on their earnings and public benefits…Study Type: Causal Impact Analysis
The study examined the impact a newly implemented Individual Placement and Support (IPS) program had on employment and earnings outcomes of homeless veterans who were diagnosed with a psychiatric or…Study Type: Causal Impact Analysis
The study examined the effect of the Individual Placement and Support (IPS) program on employment and earnings outcomes for justice-involved veterans with a prior felony conviction and a mental…Study Type: Causal Impact Analysis
The study’s objective was to examine the impacts of the Integrated Basic Education and Skills Training (I-BEST) program on educational attainment and wage outcomes. The authors used statistical…Study Type: Causal Impact Analysis
The study’s objective was to examine the effects of employment and training services offered through the Workforce Investment Act of 1998 (WIA) on employment and earnings outcomes. The author…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of paid work experience, part of Los Angeles’ Subsidized and Transitional Employment Demonstration, on employment, earnings, and public benefit…
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.