Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 671 - 680 of 794
Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of state disability laws—those related to antidiscrimination and reasonable accommodation for employees with disabilities—on commercial banks’ number…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Americans with Disabilities Act (ADA) of 1990 on the employment and wages of men with disabilities relative to men without disabilities. The…Study Type: Causal Impact Analysis
The study’s objective was to gauge the impact of California’s Proposition 209, a 1996 repeal of affirmative action, on employment, unemployment, labor force participation, and wages among women and…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of litigation for claims of hiring discrimination on the representation gap of African Americans in U.S. police and fire departments. The author…Study Type: Causal Impact Analysis
The study’s objective was to examine the effectiveness of compliance reviews by the Office of Federal Contract Compliance Programs (OFCCP) and lawsuits initiated by individuals or the Equal…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of City of Richmond v. J.A. Croson Co. (referred to as the Croson decision) in 1989, which weakened affirmative action policies, on self-employment,…The effects of the Americans with Disabilities Act: A longitudinal model analysis (Moon et al. 2003)
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Americans with Disabilities Act (ADA), both the original 1992 legislation and its 1994 extension, on working hours and employment among men…Study Type: Causal Impact Analysis
This study’s objective was to assess the impact of state-level fair employment legislation, enacted in the 1940s through the 1960s, on labor market outcomes including income, unemployment, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the consequences of the Americans with Disabilities Act (ADA) on the employment and wages of people with disabilities. The main analysis estimated regression…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of the Americans with Disabilities Act (ADA) on the employment rate for men with disabilities. Using data from the Survey of Income and Program…
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.