Earnings and wages-Low-Favorable impacts

Recently Added

CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.

Search
for studies on
this topic using
keywords
and filters

Displaying 11 - 20 of 68

Work-focused cognitive behavioral therapy to complement vocational services for people with mental illness: Pilot study outcomes across a 6-month posttreatment follow-up (Kukla et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of Cognitive Behavioral Therapy for Work Success (CBTw) on employment status, hours worked per week, and hourly earnings. The study uses…
Veterans Homelessness Prevention Demonstration evaluation: Final report (Cunningham et al., 2015)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study examined the effect of the Veterans Homelessness Prevention Demonstration (VHPD) program on the employment, earnings, public benefit receipt, and education and training outcomes of…
Spousal labor market effects from government health insurance: Evidence from a veterans affairs expansion (Boyle & Lahey, 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study examined the impact of the expansion of health insurance for veterans through the U.S. Department of Veterans Affairs (VA) in the mid-1990s (as a result of the implementation of the…
Estimation and inference of distributional partial effects: Theory and application (Shen, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of an increase in the state-level minimum wage on household earnings. The study is a nonexperimental comparison…
Career technical education and labor market outcomes: Evidence from California community colleges (Stevens, Kurlaender, & Grosz, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of career and technical education (CTE) programs on earnings. The authors used a nonexperimental…
Three essays in applied microeconomics: Medicaid expansion, CeMENT co-authorship networks, and occupational licensing (Na, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study examines the impact of Occupational Licensing (holding an active job certification or license) on hourly wages, weekly earnings, and hours worked per week. Using data from…
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…
What strategies work for the hard-to-employ? Final results of the Hard-to-Employ demonstration and evaluation project and selected sites from the Employment Retention and Advancement project. [NYC PRIDE] (Butler et al 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Personal Roads to Individual Development and Employment (PRIDE) program on employment, earnings, and public assistance receipt. The study was a…
Workforce program performance indicators for the Commonwealth of Virginia. Upjohn Institute technical report no. 08-024. [TANF/VIEW] (Hollenbeck et al. 2008)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Virginia Initiative for Employment Not Welfare (TANF/VIEW) program on employment and credential completion rates. The authors used…
A comparison of two Welfare-to-Work strategies among African American women in Atlanta, Georgia. (Unpublished doctoral dissertation). (Wilson-Brewster 2006)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the effectiveness of two welfare-to-work programs—the Labor Force Attachment (LFA) program and the Human Capital Development (HCD) program—on the employment 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.