Public benefits receipt-Mod/high-Favorable 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 21 - 30 of 129

The rent reform demonstration: Early effects on employment and housing subsidies (Riccio & Deitch, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the Rent Reform Demonstration on earnings and employment among families served by the Public Housing Authority (PHA) in Louisville, Kentucky.…
The rent reform demonstration: Early effects on employment and housing subsidies (Riccio & Deitch, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the Rent Reform Demonstration on earnings and employment among families served by the Public Housing Authority (PHA) in Washington, DC. The…
The rent reform demonstration: Early effects on employment and housing subsidies (Riccio & Deitch, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the Rent Reform Demonstration on earnings and employment among families served by the Public Housing Authority (PHA) in San Antonio, TX. The…
The rent reform demonstration: Early effects on employment and housing subsidies (Riccio & Deitch, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the Rent Reform Demonstration on earnings and employment among families served by four large Public Housing Authorities (PHAs). The authors…
Testing two subsidized employment models for TANF recipients: Final impacts and costs of the Los Angeles County transitional subsidized employment program (Anderson et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of two approaches to subsidized employment for Temporary Assistance for Needy Families (TANF) recipients: Paid Work Experience (PWE) in the…
Testing two subsidized employment models for TANF recipients: Final impacts and costs of the Los Angeles County transitional subsidized employment program (Anderson et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of two approaches to subsidized employment for Temporary Assistance for Needy Families (TANF) recipients: Paid Work Experience (PWE) in the…
Testing two subsidized employment models for TANF recipients: Final impacts and costs of the Los Angeles County transitional subsidized employment program (Anderson et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of two approaches to subsidized employment for Temporary Assistance for Needy Families (TANF) recipients: Paid Work Experience (PWE) in the…
The effect of lower transaction costs on social security disability insurance application rates and participation (Foote et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to measure the impact of the Social Security Administrations’ online iClaim system on changes in Social Security Disability Insurance (SSDI) applications, appeals,…
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…
GAIN: Program strategies, participation patterns, and first-year impacts in six counties: California’s greater avenues for independence program (Riccio & Friedlander 1992)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the Greater Avenues for Independence (GAIN) program on employment, earnings, and public benefits receipt. This profile focuses on the outcomes for…

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.