Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 101 - 110 of 671
Study Type: Causal Impact Analysis
The study examined the impact of Project QUEST on employment, earnings, education, and public benefits receipt outcomes.The study was a randomized controlled trial that assigned participants to the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Job Corps on long-term earnings, employment, and public benefits receipt.The study was a randomized controlled trial that assigned youth to a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Adult and Dislocated Worker Program Intensive Services on employment and earnings.The study used a randomized controlled trial that assigned program…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Promoting Opportunity Demonstration (POD) on earnings, employment, and public benefits receipt.This study used a randomized controlled trial…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Earned Income Tax Credit (EITC) on the economic self-sufficiency of mothers receiving welfare benefits through the TANF program.The study used…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Job Corps on education, earnings, employment, and public benefits receipt outcomes for youth with medical limitations.Using data from a randomized…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Des Moines Area Community College Workforce Training Academy (WTA) Connect Program on average quarterly earnings.The study used a randomized…Study Type: Causal Impact Analysis
The study examined the impact of minimum wage increases on wage and employment outcomes.The study used a difference-in-difference design to compare outcomes in high- and low-impact counties. Using…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Oregon’s four-day school week (4dsw) policy on employment and earnings and wages.The authors used a difference-in-differences design to estimate the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of manufacturing industry credentials on earnings and wages, and employment.The authors used a matched comparison group design with event-study and…
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.