Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 11 - 20 of 28
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Youth Transition Demonstration (YTD) project on public benefits receipt, employment, and earnings outcomes. This profile focuses on the study…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Youth Transition Demonstration (YTD) project on public benefits receipt, employment, and earnings outcomes. This profile focuses on the study…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Youth Transition Demonstration (YTD) project on public benefits receipt, employment, and earnings outcomes. This profile focuses on the study…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Promoting Readiness of Minors in Supplemental Security Income (PROMISE) program on education, employment, earnings, and public benefits receipt…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Los Angeles Reconnections Career Academy (LARCA) on education, employment, earnings, and public benefits receipt outcomes. The study was a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of post-employment job supports and intensive case management on welfare recipients’ employment, earnings, and benefit receipt outcomes after two…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Rapid Employment Model (REM) program on participants’ employment, earnings, and Unemployment Insurance (UI) benefit claims. (See the CLEAR…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 Welfare-to-Work housing voucher on employment, earnings, and public benefit receipt. The authors allocated the available vouchers by lottery to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of providing low-income families with private market housing vouchers on employment, earnings, receipt of public assistance, and receipt of education…
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.
