Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 11 - 20 of 33
Study Type: Causal Impact Analysis
The study’s objective was to determine the impact of receiving information about tax-deferred retirement accounts (TDAs) on enrollment in the accounts. The study used a randomized controlled trial (…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Affordable Care Act (ACA) Medicaid expansion on health insurance coverage and employment among unemployed adults.The study used a difference-in-…Study Type: Causal Impact Analysis
The study's objective was to evaluate the impact of four employment coaching programs serving Temporary Assistance for Needy Families (TANF) recipients and adults with low incomes on earnings and…Study Type: Causal Impact Analysis
The study's objective was to evaluate the impact of four employment coaching programs serving Temporary Assistance for Needy Families (TANF) recipients and adults with low incomes on earnings and…Study Type: Causal Impact Analysis
The study's objective was to evaluate the impact of four employment coaching programs serving Temporary Assistance for Needy Families (TANF) recipients and adults with low incomes on earnings and…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of New York’s Paid Family Leave (PFL) policy on employee leave-taking.The study used a difference-in-differences design to compare the outcomes of…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of state and federal minimum wage increases on employer-sponsored health insurance (ESI) coverage for families with low incomes. The study also…Study Type: Causal Impact Analysis
This study’s objective was to assess the effectiveness of the Reemployment and Eligibility Assessment (REA) Initiative in Florida, a program that provided eligibility and reemployment case…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of work requirements for Medicaid recipients on public benefits receipt, employer benefits receipt, and employment. The study used a difference-in…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Affordable Care Act of 2010 (ACA) on employee health insurance take-up rates. The study was a…
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.