The study’s objective is to examine the impact of 1983 and 2000 policy changes that removed the Social Security earnings test for certain age groups on the earnings and employment outcomes of…
Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 21 - 30 of 445
Study Type: Causal Impact Analysis
Study Type: Causal Impact Analysis
The study examined the impact of the expansion of health insurance for veterans through the U.S. Department of Veterans Affairs (VA) in the mid-1990s (as a result of the implementation of the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the national health policies of the United States and Denmark on employment of older workers after a health shock, defined as a new cancer or…Study Type: Causal Impact Analysis
The study examined the impact of enforcement of age discrimination laws on the employment and earnings of older male workers The author used a nonexperimental regression model and data from the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Job Search Assistance Demonstration in Washington, D.C., and Florida on Unemployment Insurance (UI) benefits receipt, earnings, and employment…Study Type: Descriptive Analysis
The study examined the relationship between an entrepreneurship education program for military veterans, VetStart, on entrepreneurship attitudes and behaviors. The VetStart program included 10 weeks…Study Type: Causal Impact Analysis
The study’s objective was to examine the returns to firms’ investments in training for their workers. The authors used data from an annual survey conducted by the Portuguese Ministry of Employment,…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Massachusetts Adolescent Outreach Program for Youths in Intensive Foster Care (Outreach) on youths’ education, employment, earnings, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participation in Maine’s adult drug treatment court programs on recidivism. The authors compared the recidivism rates of drug treatment court…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a juvenile treatment court in Anne Arundel County, Maryland, on recidivism. The authors used a nonexperimental design, matching youth who…
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.