Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
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 impact of the Trade Adjustment Assistance (TAA) Program on education and training, employment, earnings, and public benefit receipt. The study 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 wages of dislocated workers. The author used a nonexperimental method to compare the earnings…Study Type: Causal Impact Analysis
The study objective was to examine the impact of the Sub-baccalaureate Postsecondary Education Program on the employment and earnings of adults with a high school education in Indiana. The author…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act apprenticeship programs in Washington State on participants’ employment rates, earnings, and public benefit receipt.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Summer Youth Employment Program (SYEP) on the employment rate, earnings, and college enrollment of New York City youth 14 to 21 years old. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impacts of the Growing America Through Entrepreneurship (Project GATE) demonstration project, which offered entrepreneurship training and business counseling…The Employment Retention and Advancement project: Early results from four sites. (Bloom et al. 2005)
Study Type: Causal Impact Analysis
The study’s objective was to examine the effectiveness of a Riverside, California, program to increase the earnings of welfare recipients after one year. The Riverside Phase 2 site was one of two in…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impact of pre- and post-employment job supports and intensive case management on welfare recipients’ employment and benefits receipt outcomes after one year…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impact of pre- and post-employment job supports and intensive case management on welfare recipients’ employment and benefits receipt outcomes after one year…
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.