Causal Impact Analysis

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Displaying 921 - 930 of 1084

Job Training Partnership Act: Long-term earnings and employment outcomes (GAO/HEHS-96-40) (United States General Accounting Office 1996)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to estimate the impact of Job Training Partnership Act (JTPA) programs on the long-term earnings and employment of male and female out-of-school youth and adults. This…
Sustained gains: Year Up’s continued impacts on young adults’ earnings (Roder & Elliot 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the effect of the Year Up program on employment, earnings, and education outcomes. Year Up is an intensive, yearlong program that provides training and…
The (surprising) efficacy of academic and behavioral intervention with disadvantaged youth: Results from a randomized experiment in Chicago (Cook et al. 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Becoming a Man (BAM) program on youths’ academic outcomes, including grade point averages (GPAs), course failures, and achievement test scores…
Preventing youth violence and dropout: A randomized field experiment (No. w19014) (Heller et al. 2013)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Becoming a Man program on arrest and educational outcomes. The study was a randomized controlled trial. Eligible male youth from 18 public…
A promising start: Initial impacts of Year Up on low-income young adults' careers (Roder & Elliot, 2011)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
This report presents preliminary findings for the impacts of the Year Up program, which provides technical skills training and internships to low-income adults ages 18 to 24. The authors randomly…
Reentry experiences of confined juvenile offenders: Characteristics, service receipt and outcomes of juvenile male participants in the SVORI multi-site evaluation (Hawkins et al. 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study examined the impact of the Serious and Violent Offender Reentry Initiative (SVORI) on employment, education, and recidivism among juvenile incarcerated males. The study used propensity…
YO! participants’ employment and earnings (Callahan Consultants, Inc. n.d.)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to determine the effect of the YO! Baltimore initiative, which included a diverse set of programs offering comprehensive educational, employment preparation, support, and…
National Job Corps study and longer-term follow-up study: Impact and benefit-cost findings using survey and summary earnings records data (Schochet et al. 2006)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The National Job Corps Study included several reports, including this longer-term impact report. The report’s objective was to examine the impact of the Job Corps program on participants’ long-term…
The challenge of repeating success in a changing world: Final report on the Center for Employment Training replication sites (Miller et al. 2005)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
This report’s objective was to examine the effectiveness of the Center for Employment Training (CET) model. Under this model, local employers help design training programs and provide them in a work…
National Job Corps Study: Findings using administrative earnings records data (Schochet et al. 2003)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to estimate the impact on long-term earnings and employment of the Job Corps program, which offers intensive academic classroom instruction and vocational skills training…

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.