Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 141 - 150 of 794
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 the intervention on job mobility and compensation. This study uses a difference-in-difference design to compare the job mobility and…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Scholars at Work (SAW) on college enrollment, wages, and employment. Using a propensity score weighting approach, this study…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of teleworking on job promotions. The other chapters of the study are linked here: Chapter 1: Does Allowing Employees to Work from Home Reduce…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the 2004 California Paid Family Leave (CA-PFL) program on young women’s employment and wages. The other chapters of the study are linked here:…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of teleworking on job turnover rates. The other chapters of the study are linked here: Chapter 2: Moving Up the Ladder: Impact of Working from…Study Type: Causal Impact Analysis
The study’s objective was to examine the relationship between the extended length of time of the Optional Practical Training (OPT) program’s temporary work permit for foreign STEM graduates and…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of New Jersey’s Family Leave Insurance Program (NJ-FLI) on labor force participation and other labor market outcomes for women with children. The…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of California’s Paid Family Leave Program (CA-PFL) on labor force participation and other labor market outcomes for women with children. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of age discrimination laws on the employment of older women. This profile focuses on the comparison for state age discrimination laws. The author…
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.