Earnings and wages-Mod/high-No impacts

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Displaying 61 - 70 of 173

State age protection laws and the Age Discrimination in Employment Act (Lahey, 2008)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study examined the impact of enforcement of age discrimination laws on the employment and earnings of older male workers The author used a nonexperimental regression model and data from the…
Engaging young men involved in Chicago's justice system: A feasibility study of the Bridges to Pathways Program (Wasserman et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of Bridges to Pathways (Bridges) on earnings, employment, and education outcomes. The study is a randomized controlled trial that randomly assigned…
Evaluating two approaches to case management: Implementation, participation patterns, costs, and three-year impacts of the Columbus Welfare-to-Work Program (Scrivener & Walter, 2001)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of case management approaches on employment, earnings, and public benefits receipt. This profile focuses on the comparison of participants in the…
Building a future: Interim impact findings from the YouthBuild evaluation (Miller et al., 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of YouthBuild on employment, earnings, and education outcomes. The study was a randomized controlled trial that randomly assigned young adults to…
Forging a Path: Final Impacts and Costs of New York City's Young Adult Internship Program (Cummings, Farrell, & Skemer, 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Young Adult Internship Program (YAIP) on employment and earnings. The study was a randomized controlled trial that used data from the…
Final report for the impact evaluation of the Los Angeles Regional Initiative for Social Enterprise (LA:RISE) pilot program (Geckeler et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of Los Angeles Regional Initiative for Social Enterprise (LA:RISE) on employment and earnings. The study was a randomized controlled trial with…
The ABC evaluation: Turning the corner: Delaware’s a better chance welfare reform program at four years (Fein et al., 2001)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of A Better Chance (ABC) Welfare Reform Program on employment, earnings, and public benefits receipt. The study was a randomized controlled trial…
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…
Implementation and Relative Impacts of Two Job Search Assistance Programs in New York City the Job Search Assistance Strategies Evaluation (Martinson et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the Back to Work (B2W) and Independent Job Search (IJS) programs on employment, earnings, and public benefits receipt outcomes. The study used a…
Final impact findings from the child support noncustodial parent employment demonstration (CSPED) (Cancian, Meyer, & Wood, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of Child Support Noncustodial Parent Employment Demonstration (CSPED) on employment, earnings, and public benefits receipt. The study used a…

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.