Earnings and wages-Mod/high-Favorable impacts

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Displaying 51 - 60 of 178

The Los Angeles Jobs-First GAIN Evaluation: First-year findings on participation patterns and impacts (Freedman, Mitchell, & Navarro 1999)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of Jobs-First GAIN on employment, earnings, and public benefits receipt. This profile focuses on the outcomes for the two-parent household sample.…
The Los Angeles Jobs-First GAIN Evaluation: First-year findings on participation patterns and impacts (Freedman, Mitchell, & Navarro 1999)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of Jobs-First GAIN on employment, earnings, and public benefits receipt. This profile focuses on the outcomes for the single-parent household sample…
The Indiana welfare reform evaluation: Five-year impacts, implementation, costs, and benefits (Beecroft et al. 2003)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the Indiana Welfare Reform on employment, earnings, and public benefits receipt outcomes. This profile focuses on the outcomes for the single…
Helping public housing residents find better jobs and build careers: Evaluation findings from New York City’s Jobs-Plus expansion (Leopold et al. 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of Jobs-Plus on employment and earnings. The study used a difference-in-differences design to compare members in the targeted Jobs-Plus…
Do sectoral employment programs work? New evidence from New York City's Sector‐Focused Career Centers (Gasper, Henderson, & Berman 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study's objective was to examine the impact of Sector-Focused Career Centers (SFCC) on employment and earnings outcomes. The study used a nonexperimental design to compare the outcomes of…
Evaluating two welfare-to-work program approaches: Two-year findings on the labor force attachment and human capital development programs in three sites (Hamilton et al. 1997)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of Job Opportunities and Basic Skills Training (JOBS) on earnings and public benefits receipt outcomes. This profile focuses on the comparison…
Long-term effects of a sectoral advancement strategy: Costs, benefits, and impacts from the WorkAdvance demonstration (Schaberg & Greenberg 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the WorkAdvance sectoral training program on employment and earnings outcomes. This profile focuses on the evaluation at the Madison Strategies…
Long-term effects of a sectoral advancement strategy: Costs, benefits, and impacts from the WorkAdvance demonstration (Schaberg & Greenberg 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the WorkAdvance sectoral training program on employment and earnings outcomes. This profile focuses on the pooled evaluation findings. The authors…
Can sector strategies promote longer-term effects? Three-year impacts from the WorkAdvance demonstration (Schaberg 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the WorkAdvance sectoral training program on year three earnings outcomes. This profile focuses on the pooled evaluation findings. The authors…
Long-term effects of a sectoral advancement strategy: Costs, benefits, and impacts from the WorkAdvance demonstration (Schaberg & Greenberg 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the WorkAdvance sectoral training program on employment and earnings outcomes. This profile focuses on the evaluation at the St. Nicks Alliance…

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.