Public benefits receipt-Mod/high-Favorable impacts

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Displaying 71 - 80 of 116

Providing Public Workforce Services to Job Seekers: 30-Month Impact Findings on the WIA Adult and Dislocated Worker Programs [Comparison Between Full-WIA Services versus Core Services]. (Fortson 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 Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 30 months. This summary focuses on the…
Time-varying effects of recall expectation, a reemployment bonus, and job counseling on unemployment durations (Anderson 1992)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study assessed the effectiveness of a reemployment bonus on the reemployment rates of Unemployment Insurance (UI) claimants with differing expectations of being recalled to their previous jobs.…
Assisting Unemployment Insurance claimants: The long-term impacts of the Job Search Assistance Demonstration (Decker et al. 2000)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Job Search Assistance Demonstration in Washington, D.C., and Florida on Unemployment Insurance (UI) benefits receipt, earnings, and employment…
Long-term effects of job-search assistance: Experimental evidence using administrative tax data (Manoli et al. 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study examined the impact of the Nevada Reemployment and Eligibility Assessment (REA) program on long-term employment, earnings, and Unemployment Insurance (UI) benefit receipt. This study was a…
Testing two subsidized employment approaches for recipients of Temporary Assistance for Needy Families: Implementation and early impacts of the Los Angeles County Transitional Subsidized Employment Program (Glosser et al. 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of paid work experience, part of Los Angeles’ Subsidized and Transitional Employment Demonstration, on employment, earnings, and public benefit…
Testing two subsidized employment approaches for recipients of Temporary Assistance for Needy Families: Implementation and early impacts of the Los Angeles County Transitional Subsidized Employment Program (Glosser et al. 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of on-the-job training, part of Los Angeles’ Subsidized and Transitional Employment Demonstration, on employment, earnings, education, training, and…
Testing two subsidized employment approaches for recipients of Temporary Assistance for Needy Families: Implementation and early impacts of the Los Angeles County Transitional Subsidized Employment Program (Glosser et al. 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of a paid work experience program, part of Los Angeles’ Subsidized and Transitional Employment Demonstration, on employment, earnings, education,…
Effects of the unemployment insurance work test on long-term employment outcomes. (Lachowska et al. 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of more-stringent work search requirements for unemployment insurance (UI) claimants on earnings, employment, and UI benefit receipt outcomes over a…
Back to work: Testing reemployment services for displaced workers (Bloom 1990)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of the Texas Worker Adjustment Demonstration on the Unemployment Insurance (UI) receipt, employment, and earnings of UI claimants one year after…
Evaluation of the Charleston Claimant Placement and Work Test Demonstration (Corson et al. 1985)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to determine the impact of a more-stringent work test and enhanced employment services on Unemployment Insurance (UI) claimants’ benefits receipt and reemployment outcomes…

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.