This topic area focuses on the effectiveness of rules, policies, and enforcement activities aimed at preventing discrimination by employers on workers’ labor market outcomes. CLEAR assesses the quality of existing causal evidence on this topic.
Employer Compliance
Status: Literature reviewed in this topic area currently covers 1990 - 2021.
Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 11 - 20 of 50
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of organizational accountability and transparency policies on merit-based pay increases. The study used an interrupted time series…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of changes in standard of causation for employment discrimination claims under the Missouri Human Rights Act (MHRA) on employment outcomes. …Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the California Paid Family Leave Program (CPFL) on employment. The study used a nonexperimental design to assess the impact of CPFL…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of court-ordered diversity training on the representation of white women, black men, and black women employed in managerial positions. The authors…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of court-ordered establishment of new diversity-focused staff or offices on the representation of white women, black men, and black women employed…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of court-ordered affirmative action policies on the representation of white women, black men, and black women employed in managerial positions. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of court-ordered use of employee performance reviews and progress reports on the representation of white women, black men, and black women employed…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of court-ordered requirements to post Equal Employment Opportunity (EEO) notices within workplace establishments on the representation of white…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of court-ordered requirements to inform protected classes of employer laws and legal settlements on the representation of white women, black men,…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of court-ordered establishment of employee grievance procedures on the representation of white women, black men, and black women employed in…
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.