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 Troubled Asset Relief Program (TARP) chief executive officer (CEO) compensation restrictions on the earnings of CEOs. The author conducted…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the 2004 California Paid Family Leave (CA-PFL) program on young women’s employment and wages. The other chapters of the study are linked here:…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Wagner-Peyser/Employment Service program on outcomes of employment, earnings, and credential completion. The study used an interrupted time…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Trade Adjustment Assistance (TAA) Program on the wages of dislocated workers. The author used a nonexperimental method to compare the earnings…Study Type: Causal Impact Analysis
The study’s objective was to estimate changes in wage discrimination against people with disabilities before and after the Americans with Disabilities Act of 1990 (ADA). The author used data from…Study Type: Causal Impact Analysis
The study examined the impact of prison-based adult basic education courses on post-release employment, earnings, and recidivism for incarcerated people who read below the 9th-grade level. The…Study Type: Causal Impact Analysis
The study examined the impact of participation in prison-based adult basic education on post-release employment, earnings, and recidivism for incarcerated people who read below the 9th-grade level.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of customized employment services for disabled adults on earnings and employment. Using administrative data, the authors compared employment and…Study Type: Causal Impact Analysis
The state of Massachusetts, as part of the Criminal Offender Record Information (CORI) Reform, implemented a policy change known as Ban the Box, which refers to a box job seekers would check to…Study Type: Causal Impact Analysis
The study examined the impact of a 2001 expansion in eligibility for Disability Compensation (DC) to type 2 diabetes for Vietnam-era veterans on labor force participation, earnings, and receipt of…
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.