Employment-Low-Unfavorable impacts

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Displaying 1 - 10 of 42

From college to career: Connecting student participation in work-integrated learning with employment outcomes (Kepple, 2023)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of work-integrated learning (WIL) on employment. The study used a nonexperimental design to determine whether participation in WIL predicted…
The effects of need-based financial aid on employment and earnings: Experimental evidence from the Fund for Wisconsin Scholars [Four-Year College Student Sample] (Carlson et al., 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of the Fund for Wisconsin Scholars (FFWS) on employment and earnings. This profile focuses on the outcomes for students enrolled in four-year colleges…
Net impact and benefit-cost estimates of the workforce development system in Washington state. (Upjohn Institute Technical Report No. 13-029). [Private career school programs] (Hollenbeck & Huang 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of private career schools’ programs on the employment rate, earnings, and benefit receipt of adults who completed high school in Washington State. The…
Minimum-wage increases and low-wage employment: Evidence from Seattle (Jardim et al., 2022)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of the Seattle Minimum Wage Ordinance on employment, earnings, and wages.Using state administrative employment data, the authors conducted a…
Employment outcomes from VA vocational services involving Transitional Work for veterans with a diagnosis of posttraumatic stress disorder (Davis et. al, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of Transitional Work (TW) on competitive employment outcomes for Veterans with Posttraumatic Stress Disorder (PTSD). This study was a…
Employment outcomes from VA vocational services involving transitional work for veterans with a diagnosis of post-traumatic stress disorder (Davis et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of engaging in transitional work on outcomes measuring competitive employment and income for U.S. military veterans with post-traumatic stress…
The effect of wage subsidies on piece rate workers: Evidence from the penny per pound program in Florida (Ku, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of Penny Per Pound (PPP) on daily hours worked. The author used a statistical model to compare the outcomes of…
Reducing inequality summer by summer: Lessons from an evaluation of the Boston Summer Youth Employment Program (Modestino & Paulsen 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of the Boston Summer Youth Employment Program (SYEP) on future work plans, academic aspirations, and job readiness skills. The study…
The Effects of Work Life Policies: Teleworking and paid family leave (Chang, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
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:…
Three essays on immigration policy and labor market outcomes in the U.S. (Mukherjee, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
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…

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.