Public benefits receipt-Mod/high-No impacts

Recently Added

CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.

Search
for studies on
this topic using
keywords
and filters

Displaying 51 - 60 of 80

Impact of the Reemployment and Eligibility Assessment Initiative (Poe-Yamagata et al. 2011)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
This study’s objective was to assess the effectiveness of the Reemployment and Eligibility Assessment (REA) Initiative in Illinois, a program that provided eligibility and reemployment case…
Evaluation of the Re-Integration of Ex-Offenders (RExO) program: Final impact reports (Wiegand & Sussell 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of Reintegration of Ex-Offenders (RExO) programs on employment, earnings, public benefits receipt, and recidivism outcomes. The study was a randomized…
Providing public workforce services to job seekers: 15-month impact findings on the WIA Adult and Dislocated Worker programs [Comparison between Full-WIA Services versus Core-and-Intensive Services]. (McConnell et al. 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 15 months.…
Providing public workforce services to job seekers: 15-month impact findings on the WIA Adult and Dislocated Worker programs [Comparison betwwen Full-WIA Services versus Core Services]. (McConnell et al. 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 15 months.…
Providing public workforce services to job seekers: 15-month impact findings on the WIA Adult and Dislocated Worker programs [Comparison between Core-and-Intensive Services versus Core Services]. (McConnell et al. 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 15 months.…
Evaluation of the impacts of the Washington Alternative Work Search Experiment (Johnson & Klepinger 1991)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study assessed the impacts of four different work search policy approaches implemented through the Washington Alternative Work Search Experiment on Unemployment Insurance (UI) benefits receipt,…
Wisconsin Job Service: ERP Pilot Project Final Report (Wisconsin Department of Industry, Labor, and Human Relations 1984)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study estimated the effect of mandatory participation in a job search workshop for Unemployment Insurance (UI) recipients separated indefinitely from their previous employers. The study was a…
Reemployment and Eligibility Assessment (REA) Study: FY 2005 Initiative: Final Report (Benus et al. 2008)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
This study’s objective was to assess the effectiveness of the Reemployment and Eligibility Assessment (REA) Initiative in North Dakota, a program that provided eligibility and reemployment case…
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 [Moving Up—South Carolina] (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 former welfare recipients’ employment and benefits receipt outcomes after…

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.