Earnings and wages-Mod/high-No impacts

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Displaying 1 - 10 of 185

RCT evidence on differential impact of US job training programmes by pre-training employment status (Baird et al., 2022)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the New Orleans Office of Workforce Development’s (OWD’s) Career Pathways job training program on employment and earnings. The study was a…
Twelve-month employment intervention outcomes for drug-involved offenders (Webster et al., 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the effects of an employment intervention tailored for drug-involved offenders on employment and earnings outcomes. The study was a randomized controlled…
Employment services utilization and outcomes among substance abusing offenders participating in California's Proposition 36 drug treatment initiative (Evans et al., 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study's objective was to examine the impact of California's Proposition 36-funded employment services on employment, earnings, public benefit receipt, and health and safety. Using outcome…
Implementation and impacts of the Substantial Gainful Activity Project demonstration in Minnesota (Kehn & Honeycutt, 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of Substantial Gainful Activity (SGA) on employment and earnings. The study used randomized controlled trial to assign Vocational Rehabilitation…
Pathways after high school: Evaluation of the Urban Alliance High School Internship Program (Theodos 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 Urban Alliance High School Internship Program on employment, earnings, and education outcomes. The study used a randomized controlled…
Outcome mechanisms for improved employment and earnings through screened job training: Evidence from an RCT (Baird et al., 2021)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of Career Pathways on employment and earnings outcomes. The study was a randomized controlled trial where adults were randomly assigned to a…
Do prison work-release programs improve subsequent labor market outcomes? Evidence from the adult transition centers in Illinois (Jung, 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of Adult Transition Centers (ATC) on earnings and employment two- and three-years following release. The study used a nonexperimental design…
Evaluation of strategies used in the TechHire and Strengthening Working Families Initiative grant programs: Two-year impacts report (Gasper et al., 2023)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the TechHire Partnership Grants (TechHire) and the Strengthening Working Families Initiative (SWFI) on employment, earnings, and completion of…
Evaluation of the Urban Alliance High School Internship Program (Theodos et al., 2023)
Study Type: Causal Impact Analysis
Causal Evidence Rating:
The study's objective was to examine the impact of the Urban Alliance High School Internship Program on education, employment, and earnings. The study used a randomized controlled trial to…
Washington State’s Integrated Basic Education and Skills Training (I-BEST) Program: Three-year impact report (Martinson et al., 2021)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of Washington State’s Integrated Basic Education and Skills Training (I-BEST) on education and earnings outcomes. The study used a randomized…

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.