Earnings and wages-Mod/high-Favorable impacts

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Displaying 71 - 80 of 170

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 Per Scholas site. The…
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 employment and earnings outcomes. This profile focuses on the evaluation at the Per…
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, education, employment, and public benefits receipt outcomes. This profile focuses…
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, education, employment, and public benefits receipt outcomes. This profile focuses…
State collective bargaining laws and public-sector pay (Brunner & Ju, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of collective bargaining for public sector workers on hourly earnings and wages. The authors used a nonexperimental design to compare the…
Becoming adults: One year impact findings from the youth villages’ Transitional Living evaluation (Valentine et al. 2015)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Transitional Living program on education, earnings, and recidivism outcomes. The authors used a randomized controlled trial and estimated…
Testing rapid connections to subsidized private sector jobs for low-income individuals in San Francisco: Implementation and early impacts of the STEP Forward program (Walter 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of STEP Forward on employment, earnings, and education outcomes. The authors used a randomized controlled trial to estimate impacts of enrollment in…
Evaluating multi-treatment programs: Theory and evidence from the U.S. Job Training Partnership Act experiment. (Plesca & Smith 2007)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Job Training Partnership Act (JTPA) on earnings and employment for disadvantaged adults. The authors conducted a randomized controlled trial.…
New Hope’s eight-year impacts on employment and family income. (Miller et al 2008)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the New Hope program on employment, earnings, and public benefit receipt. The authors estimated the impact of the New Hope program by comparing…
New Hope for families and children: Five-year results of a program to reduce poverty and reform welfare. (Huston 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 New Hope program on employment, earnings, and public benefit receipt. The authors estimated the impact of the New Hope program by comparing…

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.