Employment-Low-Favorable impacts

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Displaying 41 - 50 of 170

The effect of California's paid family leave program on employment among middle-aged female caregivers (Kang et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to evaluate the effect of a California paid family leave policy (CA-PFL) on employment of middle-aged female caregivers. The study used a difference-in-differences…
Feminist firms (Bennett, Stern & Wang, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of state Paid Family Leave laws on employee turnover. The study conducted a difference-in-difference analysis. The study used firm-level data…
Evaluation of the Making Employment Needs (MEN) Count intervention to reduce HIV/STI risk for Black heterosexual men in Washington, DC (Raj et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of a counseling intervention – Making Employment Needs (MEN) Count – on employment. The study compared employment for adults who…
Essays in education and labor economics (Boden, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of state ERA ratification on labor market outcomes for women. The authors used a difference-in-differences design to estimate the…
Essays in public economics (Elwell, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of federal and state Medicaid expansions on hours worked per week, annual earned income, and participation in other public safety net programs…
National evaluation of welfare-to-work strategies: Implementation, participation patterns, costs, and two-year impacts of the Detroit welfare-to-work program (Farrell et al., 2000)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of Michigan Opportunity and Skills Training (MOST)/Work First on public benefit receipt, employment, and earnings. The study was a randomized…
Returns to compensation in trucking: Does safety pay? (Faulkiner & Belzer, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of hiring experienced drivers and paying them higher wages, rather than hiring new drivers and paying lower wages, on continued employment at the…
Workforce program performance indicators for the Commonwealth of Virginia. (Upjohn Institute Technical Report No. 08-024). [DBVI] (Hollenbeck & Huang 2008)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Vocational Rehabilitation program administered by the Department for Blind and Vision Impaired (DBVI) on participants’ employment and…
Reassessing the labor market effects of California’s minimum nurse staffing regulations (Harless 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of California’s minimum staffing regulations for hospital nurses on wages and employment. The author used a non…
Work-related CBT versus vocational services as usual for unemployed persons with social anxiety disorder: A randomized controlled pilot trial. (Himle et al 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the effect of group-based, work-related cognitive-behavioral therapy (CBT) on work-related outcomes of unemployed, homeless people diagnosed with social anxiety…

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.