Employment-Low-No impacts

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Displaying 101 - 109 of 109

An analysis of the impact of affirmative action programs on self-employment in the construction industry (Blanchflower & Wainwright 2005)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of City of Richmond v. J.A. Croson Co. (referred to as the Croson decision) in 1989, which weakened affirmative action policies, on self-employment,…
Recruitment strategies for gender equity: Lessons from cohort 1 and cohort 2 advance institutions (Zajicek et al. 2011)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to evaluate the effectiveness of the ADVANCE institutional transformation program (ADVANCE-IT), sponsored by the National Science Foundation (NSF), on the recruitment of…
Evaluation of the strengthening the connections between unemployment insurance and the One-Stop Delivery Systems Demonstration Project in Wisconsin (Almandsmith 2006)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study examined the impact of the Worker Profiling Reemployment Services program for Unemployment Insurance (UI) claimants in Wisconsin on several outcomes: the rate at which the UI claimants…
Employment growth from public support of innovation in small firms (Link & Scott 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the effects of the Small Business Innovation Research (SBIR) program, a competitive program providing small businesses with funding for technological…
Influencing the disability trajectory for workers with serious mental illness: Lessons from Minnesota’s Demonstration to Maintain Independence and Employment (Linkins et al. 2011)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The report’s objective was to examine the impacts of the Demonstration to Maintain Independence and Employment (DMIE) in the Minnesota site. The DMIE was designed to prevent or delay people with…
Job insecurity, unemployment insurance and on-the-job search. Evidence from older American workers. (Gutierrez 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study examined the impact of the potential wage replacement rate through Unemployment Insurance (UI) on the probability of transitioning to non-employment. The study used a nonexperimental…
Employment outcomes among African American and white women with disabilities: Examining the inequalities. (Balcazar & Suarez-Balcazar 2015)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study examined the impact of adult vocational rehabilitation (VR) services on employment outcomes for African American and white women. The authors used a statistical model and data from a…
The effect of health reform on retirement. (Levy et al. 2015)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the expansion of Medicaid to low-income adults in 2014 on retirement rates of workers ages 55 to 64. The authors used a nonexperimental analysis to…
Labor market shocks and retirement: Do government programs matter? (Coile & Levine 2007)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study examined the impact of the generosity of unemployment insurance (UI) benefits on retirement decisions. The study used a statistical model and data from the March Current Population Survey…

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.