Earnings and wages

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Displaying 531 - 540 of 592

Conditional cash transfers in New York City: The continuing story of the Opportunity NYC—Family Rewards demonstration (Riccio et al. 2013)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of Family Rewards, an experimental privately funded conditional cash transfer program in New York City, on earnings, employment, public benefits…
Enhanced Early Head Start with employment services: 42-month impacts from the Kansas and Missouri sites of the Enhanced Services for the Hard-to-Employ Demonstration and Research Project (Hsueh & Farrell 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of Enhanced Early Head Start (EHS) participation on employment, earnings, and public assistance receipt for low-income families with young children.…
A two-generational child-focused program enhanced with employment services: Eighteen-month impacts from the Kansas and Missouri sites of the enhanced services for the Hard-to-Employ Demonstration and Evaluation project (Hsueh et al. 2011)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of Enhanced Early Head Start (EHS) participation on employment, earnings, public assistance receipt, and education for low-income families with young…
The Employment Retention and Advancement project: How effective are different approaches aiming to increase employment retention and advancement? Final impacts for twelve models [Texas ERA—Corpus Christi] (Hendra et al. 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to estimate the impact of pre- and post-employment job supports and intensive case management on welfare recipients’ employment and benefits receipt outcomes after four…
The Employment Retention and Advancement project: How effective are different approaches aiming to increase employment retention and advancement? Final impacts for twelve models [Achieve—Cleveland] (Hendra et al. 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to determine the impact of a Cleveland, Ohio, program designed to increase employment retention among low-wage workers in the long-term nursing care industry. Cleveland…
The Employment Retention and Advancement project: How effective are different approaches aiming to increase employment retention and advancement? Final impacts for twelve models [Chicago ERA] (Hendra et al. 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to determine the effectiveness of a Chicago program to increase the earnings of Temporary Assistance for Needy Families (TANF) recipients. The Chicago site was one of 16…
The Employment Retention and Advancement project: How effective are different approaches aiming to increase employment retention and advancement? Final impacts for twelve models [Los Angeles EJC] (Hendra et al. 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to gauge how a Los Angeles job club focused on participants’ career interests affected employment, earnings, and benefits receipt outcomes after about 36 months. The Los…
The Employment Retention and Advancement project: How effective are different approaches aiming to increase employment retention and advancement? Final impacts for twelve models [RFS-Los Angeles] (Hendra et al. 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to estimate the impact of individualized and flexible post-employment job supports on employed welfare recipients’ employment and benefits receipt outcomes after three…
The Employment Retention and Advancement project: How effective are different approaches aiming to increase employment retention and advancement? Final impacts for twelve models [Training Focused and Work Plus—Riverside, California] (Hendra et al. 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to estimate the impact of post-employment job supports and intensive case management on welfare recipients’ employment and benefits receipt outcomes after four years. The…
The Employment Retention and Advancement project: How effective are different approaches aiming to increase employment retention and advancement? Final impacts for twelve models [TAAG—Medford] (Hendra et al. 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to estimate the impact of post-employment job supports on former and current public assistance recipients’ employment and benefits receipt outcomes after three years. The…

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.

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High Causal Evidence

Moderate Causal Evidence

Low Causal Evidence

Causal Impact Analysis

Descriptive Analysis

Implementation Analysis

Favorable

Mixed

None

Unfavorable

Not applicable

Favorable - low evidence

Mixed - low evidence

None - low evidence

Unfavorable - low evidence