Several programs have attempted to improve labor market outcomes for youth and working-age adults with disabilities. To be successful, these programs must address the various barriers to employment typically encountered by this population. This topic area focuses on research determining which programs have been most effective at improving direct labor market outcomes such as employment and earnings; improving education and health status, which may affect a person’s ability to work; and decreasing federal disability benefit receipt.
Disability Employment Policy
Status: Literature reviewed in this topic area currently covers 1985 - 2014.
Synthesis Reports
Synthesis reports look at the research evidence across studies within a topic area. They also highlight gaps in the literature, and suggest areas in which further research is needed.
Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 51 - 60 of 74
Study Type: Descriptive Analysis
The purpose of this study was to examine individual demographic, disability, and vocational rehabilitation (VR) service factors related to (1) employment status and (2) earnings growth for…Study Type: Descriptive Analysis
This report described the Youth Transition Demonstration project implemented by the City University of New York. The project enrolled 400 youth ages 15 to 18 in the Bronx who had disabilities and…Study Type: Descriptive Analysis
This study used a sequential response model of conditional probabilities to examine the impact of characteristics of Supplemental Security Income (SSI) recipients on participation in the New York…Study Type: Descriptive Analysis
The objective of this study was to examine the outcomes of supported employment 10 years after an initial demonstration project. Authors interviewed 36 of 62 clients who had participated in 1990 or…Study Type: Descriptive Analysis
This study combined data from an impact evaluation and an associated process study of the Transitional Employment Intervention (TEI) to identify effective supported employment services for people…Study Type: Causal Impact Analysis
The study’s objective was to determine the long-term effects of an intervention designed to improve employment and earnings outcomes among Supplemental Security Income (SSI) recipients with…Study Type: Causal Impact Analysis
The study’s objective was to determine the impact of participation in Vocational Rehabilitation (VR), a state and federal program, on earnings for people with disabilities. VR provides services and…Study Type: Descriptive Analysis
This study followed a sample of working-age Social Security Disability Insurance (DI) program recipients for five years after their first benefit award to describe how certain factors helped or…Study Type: Causal Impact Analysis
The report’s objective was to examine the impacts of the Demonstration to Maintain Independence and Employment (DMIE) in the Texas site. The DMIE was designed to prevent or delay people with…Study Type: Causal Impact Analysis
This study’s objective was to examine short-term (that is, 6- to 12-month) impacts of the Demonstration to Maintain Independence and Employment (DMIE). DMIE was implemented in Hawaii, Kansas,…
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.