Public benefits receipt-Mod/high-Mixed impacts

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Displaying 1 - 4 of 4

The 2021 net impact and cost-benefit evaluation of Washington state’s workforce development programs (Dula, 2021)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study's objective was to examine the net impact of 12 workforce development programs in Washington State on employment, earnings, and public benefits receipt outcomes. This profile focuses on the…
Do minimum wage increases affect SNAP benefits? (Snyder, Rinkevich, & Yuan, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of an increase in the minimum wage on federal Supplemental Nutrition Assistance Program (SNAP) enrollment and expenditures. The authors used …
Net impact study on annual earnings for the training benefits program 2002-2012 (Aviles et al. 2015)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to evaluate the impact and cost-benefit of the Training Benefits program on participants’ employment, earnings, and unemployment benefits. The study used a nonexperimental…
The Employment Retention and Advancement project: Results from the Los Angeles Reach For Success program (Anderson et al. 2009)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of an individualized case management program called Reach for Success (RFS) on employment, earnings, and public assistance receipt for recipients of…

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.