Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 131 - 140 of 794
Study Type: Causal Impact Analysis
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…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 state minimum wage increases on employment. The authors used a difference-in-difference design to estimate the impacts of…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Health Care Personnel Enhancement Act’s (HCPEA) authorization of flexible, and potentially more generous, pay…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of advertised job compensation schemes and gender differences in the likelihood of applying for a job.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of iThrive, a workplace wellness program developed at the University of Illinois at Urbana-Champaign, on employment, productivity,…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of immigration policies after September 11, 2001, on self-employment among Mexican immigrants. The study…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of additional grant funds—beyond what is typically received through Teach For America’s (TFA) Transitional Grants and Loans 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.