Education and skills gains-Mod/high-Favorable impacts

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Displaying 41 - 50 of 131

Household micro-entrepreneurial activity and child work: Evidence from two African unconditional cash transfer programs (de Hoop et al. 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of unconditional cash transfers on child labor and school attendance in Malawi and Zambia. This summary focuses on the Malawi Social Cash Transfer…
Estimated impacts for participants in the Trade Adjustment Assistance (TAA) program under the 2002 amendments. (Schochet et al. 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of the Trade Adjustment Assistance (TAA) Program on education and training, employment, earnings, and public benefit receipt. The study used a…
Long-term findings from an experimental evaluation of three service delivery models. (Perez-Johnson et al. 2011)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of individual training account (ITA) programs on employment, earnings, education and training, and benefit receipt. The authors conducted a randomized…
New Hope for people with low incomes: Two-year results of a program to reduce poverty and reform welfare. (Bos et al 1999)
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, public benefits receipt, and educational attainment. The authors estimated the impact of the New Hope…
Strategies to help low-wage workers advance: Implementation and early impacts of the Work Advancement and Support Center (WASC) demonstration. [San Diego] (Miller et al. 2009)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the early impacts of participation in the Work Advancement and Support Center (WASC) demonstration on employment, earnings, education and training, and receipt…
Strategies to help low-wage workers advance: Implementation and early impacts of the Work Advancement and Support Center (WASC) demonstration. [Dayton] (Miller et al. 2009)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the early impacts of participation in the Work Advancement and Support Center (WASC) demonstration on employment, earnings, education and training, and receipt…
Strategies to help low-wage workers advance: Implementation and final impacts of the Work Advancement and Support Center (WASC) demonstration. [San Diego—EARN!] (Miller et al. 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of participation in San Diego—EARN!, a Work Advancement and Support Center (WASC), on participants’ earnings, employment, educational attainment and…
Strategies to help low-wage workers advance: Implementation and final impacts of the Work Advancement and Support Center (WASC) demonstration. [Dayton—Move Up] (Miller et al. 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of participation in Dayton—Move Up, a Work Advancement and Support Center (WASC), on participants’ earnings, employment, educational attainment, and…
Strategies to help low-wage workers advance: Implementation and final impacts of the Work Advancement and Support Center (WASC) demonstration. [Academy for Career Advancement—Bridgeport] (Miller et al. 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of participation in the Academy for Career Advancement—Bridgeport, a Work Advancement and Support Center (WASC) on participants’ earnings, employment…
Early college, early success: Early college high school initiative impact study (Berger et al. 2013)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the effect of Early Colleges, which exposed high school students to college classes, on students’ high school achievement, persistence, and graduation; college…

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.