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.
Study Type: Causal Impact Analysis
This study’s objective was to assess the impact of the Civil Rights Act of 1964 (the Civil Rights Act) and subsequent affirmative action executive orders on the employment share of African American…Study Type: Causal Impact Analysis
The study’s objective was to assess the effect of Executive Order 11246, a 1965 directive that subjected federal contractors to stringent antidiscrimination standards, by comparing the proportion of…Study Type: Causal Impact Analysis
The study’s objective was to assess the effect of Washington State’s Initiative 200 (I-200), which repealed affirmative action statewide, on racial and ethnic minority employment and wages. Using…Study Type: Causal Impact Analysis
The study’s objective was to determine the effect of affirmative action requirements for federal contractors through Executive Order 11246 on African American employment shares at the establishment…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of affirmative action requirements for federal contractors on the occupational employment shares of minorities and women at federal contractors and…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 assess two approaches to mitigating employment discrimination: direct Equal Employment Opportunity Commission (EEOC) enforcement and indirect, industry-level EEOC…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 effectiveness of compliance reviews by the Office of Federal Contract Compliance Programs (OFCCP) and lawsuits initiated by individuals or the Equal…
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.