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 109
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of tax increment financing (TIF) on employment in Kansas City, Missouri. The authors investigated similar research questions for St. Louis,…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of California’s 2004 Paid Family Leave Act (PFLA) on take-up of paid leave, along with employment, wage earnings, and self-employment income for…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of California’s 2004 Paid Family Leave Act (PFLA) on take-up of paid leave, along with employment, wage earnings, and self-employment income for…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Chrysalis Social Enterprise (SE) program on employment and earnings outcomes. The study used a matched comparison group design to compare…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a workplace wellness program on employees’ tenure, absenteeism, cholesterol, hypertension, and obesity. This study was a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Affordable Care Act (ACA) on the probability of retirement, expected age of retirement, and expected age of claiming Social Security…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Medicaid expansion under the Affordable Care Act (ACA) on individuals’ reasons for working part-time (due to health issues or to other factors)…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—…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of additional funds through a loan—beyond what is typically received through Teach For America’s) Transitional Grants and Loans…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of earnings disregards—the amount of earned income that is not counted when calculating whether someone is eligible for public benefits—for welfare…
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.
