Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 541 - 550 of 610
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,…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of employment discrimination charges filed with the Equal Employment Opportunity Commission (EEOC) on the wages of African American and white women.…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 impact of the 1972 Equal Employment Opportunity Act (EEOA) on employment, earnings, and occupational outcomes of African American men. The study used a non-…Study Type: Causal Impact Analysis
The study examined the impact of the Worker Profiling Reemployment Services program for Unemployment Insurance (UI) claimants in Wisconsin on several outcomes: the rate at which the UI claimants…Study Type: Causal Impact Analysis
This study’s objective was to assess the effectiveness of the Reemployment and Eligibility Assessment (REA) Initiative in North Dakota, a program that provided eligibility and reemployment case…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a compulsory dialogue meeting (DM) on the return to partial or full-time employment for long-term sick-listed workers in Norway. The authors…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of subsidized employment programs in five states on the employment and earnings outcomes of unemployed people. The focus of this profile is Florida’s…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Family Rewards, an experimental privately funded conditional cash transfer program in New York City, on earnings, employment, public benefits…
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.