Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Study Type: Causal Impact Analysis
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…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Welfare-to-Work housing voucher on employment, earnings, and public benefit receipt. The authors allocated the available vouchers by lottery to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of providing low-income families with private market housing vouchers on employment, earnings, receipt of public assistance, and receipt of education…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Minnesota Family Investment Program (MFIP), a precursor to the national Temporary Assistance for Needy Families program, on employment, earnings…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of less-stringent work search requirements for unemployment insurance (UI) claimants on earnings, employment, and UI benefit receipt over a nine-year…Study Type: Causal Impact Analysis
The study examined the impact of the Senior Citizens Freedom to Work Act of 2000 on employment, earnings, and public benefit receipt outcomes of workers ages 65 to 69. The study was a nonexperimental…Study Type: Causal Impact Analysis
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…Study Type: Causal Impact Analysis
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…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Personal Roads to Individual Development and Employment (PRIDE) welfare-to-work program in New York City on the employment, earnings, and public…Study Type: Causal Impact Analysis
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 after one year. The Chicago site…
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.