Public benefits receipt-Mod/high-Unfavorable impacts

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Displaying 11 - 20 of 31

BOND implementation and evaluation: 2017 stage 2 interim process, participation, and impact report (Geyer et al., 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the Benefit Offset National Demonstration (BOND) on earnings and public benefits receipt. This profile focuses on the comparison between the group…
The youth transition demonstration project in Miami, Florida: Design, implementation, and three-year impacts (Fraker et al., 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study's objective was to examine the impact of Broadened Horizons, Brighter Futures (BHBF) on employment, earnings, and public benefits receipt outcomes. The study was a randomized…
Earnings and disability program participation of youth transition demonstration participants after 24 months (Hemmeter, 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
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…
Earnings and disability program participation of Youth Transition Demonstration participants after 24 months (Hemmeter, 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
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…
Earnings and disability program participation of Youth Transition Demonstration participants after 24 months (Hemmeter, 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
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…
Earnings and disability program participation of youth transition demonstration participants after 24 months (Hemmeter, 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
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…
Helping dropout youth find education and employment: Final impact report for the evaluation of the Los Angeles Reconnections Career Academy (LARCA) program (Geckeler et al. 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
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…
The effectiveness of the Postemployment Services Demonstration: Preliminary findings (Rangarajan, Meckstroth, & Novak 1998)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Postemployment Service Demonstration (PESD) program on employment, earnings, and public benefits receipt. This profile focuses on the Portland…
The Employment Retention and Advancement project: Results from two education and training models for employed welfare recipients in Riverside, California. (Navarro et al 2007)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
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…
Rapid employment model evaluation: Update #2 (Smith et al 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
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…

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.