Earnings and wages-Low-Mixed impacts

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Displaying 1 - 9 of 9

The effects of need-based financial aid on employment and earnings: Experimental evidence from the Fund for Wisconsin Scholars [Two-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 two-year colleges.…
Not all laws are created equal: Legal differences in state non-discrimination laws and the impact of LGBT employment protections (Burn, 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of state employment nondiscrimination acts on employment and earnings of cohabitating gay men and lesbian women. The study used a…
Do targeted business subsidies improve income and reduce poverty? A synthetic control approach (Bundrick & Yuan 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Quick Action Closing Fund (QACF) on per capita personal income. The authors used a…
Microenterprise options for people with intellectual and developmental disabilities: An outcome evaluation (Conroy et al. 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of a microenterprise intervention from Network180, an agency serving people with intellectual and developmental disabilities, on employment, earnings…
Outcome evaluation of the Army Career and Alumni Program’s Job Assistance Centers (Study Report 96-04) (Sadacca et al. 1995)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact Job Assistance Centers (JACs) and the Transition Assistance Program (TAP) offered to ex-servicemembers had on their earnings and public benefits…
Evaluation of the Michigan Coalition for Advanced Manufacturing (M-CAM) final report (Lewis-Charp et al. 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Michigan Coalition for Advanced Manufacturing (M-CAM) program on earnings and employment outcomes. The study used a nonexperimental design to…
Thaddeus Stevens College of Technology TAACCCT final evaluation report (Lawrence 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of TAACCCT-funded programs at Thaddeus Stevens College of Technology (TSCT) on earnings outcomes. The study used a nonexperimental design to compare…
A promising start: Initial impacts of Year Up on low-income young adults' careers (Roder & Elliot, 2011)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
This report presents preliminary findings for the impacts of the Year Up program, which provides technical skills training and internships to low-income adults ages 18 to 24. The authors randomly…
The effect of the social security earnings test on male labor supply: New evidence from survey and administrative data. (Haider & Loughran 2008)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective is to examine the impact of 1983 and 2000 policy changes that removed the Social Security earnings test for certain age groups on the earnings and employment outcomes of…

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.