Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 1 - 10 of 101
Evaluation of Travis County investments in workforce development: 2019 update (Juniper et al., 2019)
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of integrated and comprehensive employment services provided by the Workforce Education and Readiness Continuum - Travis County (WERC-TC), a…Study Type: Causal Impact Analysis
The study examined the effect of the Veterans Homelessness Prevention Demonstration (VHPD) program on the employment, earnings, public benefit receipt, and education and training outcomes of veterans…Study Type: Causal Impact Analysis
The study examined the impact of the expansion of health insurance for veterans through the U.S. Department of Veterans Affairs (VA) in the mid-1990s (as a result of the implementation of the Veteran…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of an increase in the state-level minimum wage on household earnings. The study is a nonexperimental comparison group analysis. The study used…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of career and technical education (CTE) programs on earnings. The authors used a nonexperimental comparison group design to estimate impacts of…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Cognitive Behavioral Therapy for Work Success (CBTw) on employment status, hours worked per week, and hourly earnings. The study uses an…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Salary History Bans (SHBs) on employment and earnings outcomes by sex and age. The author conducted a difference-in-differences analysis to…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Illinois Equal Pay Act of 2003 on the difference in earnings and employment outcomes for men and women. The authors used a difference-…Study Type: Causal Impact Analysis
The study examines the impact of Occupational Licensing (holding an active job certification or license) on hourly wages, weekly earnings, and hours worked per week. Using data from the U.S.…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of California's Paid Family Leave (CA-PFL) program on earnings and wages. This study used a quasi-experimental, triple difference-in-differences…
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.
Domain
Effectiveness icon
