Earnings and wages-Mod/high-Unfavorable 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 1 - 10 of 19

The Ready to Work Partnership Grant evaluation: Final report of the impact study of four employment services programs for the long-term unemployed (Klerman et al., 2022)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Ready to Work (RTW) Partnership Grant Program on earnings and employment outcomes. This profile focuses on the Maryland Tech Connection (MTC)…
The Ready to Work Partnership Grant evaluation: Findings from the interim impact study of four employment services programs for the long-term unemployed (Klerman et al., 2022)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Ready to Work (RTW) Partnership Grant Program on earnings, employment, education, and public benefits receipt outcomes. This profile focuses on…
Earnings and disability program participation of Youth Transition Demonstration participants after 24 months (Hemmeter, 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the Youth Transition Demonstration (YTD) project on public benefits receipt, employment, and earnings outcomes. This profile focuses on the study…
The rent reform demonstration: Early effects on employment and housing subsidies (Riccio & Deitch, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the Rent Reform Demonstration on earnings and employment among families served by the Public Housing Authority (PHA) in Louisville, Kentucky.…
Helping dropout youth find education and employment: Final impact report for the evaluation of the Los Angeles Reconnections Career Academy (LARCA) program (Geckeler et al., 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the Los Angeles Reconnections Career Academy (LARCA) on education, employment, earnings, and public benefits receipt outcomes. The study was a…
Randomized safety inspections and risk exposure on the job: Quasi-experimental estimates of the value of a statistical life (Lee & Taylor, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study's objective was to examine the impact of surprise plant inspections conducted by the federal Occupational Safety and Health Administration (OSHA) on plants’ fatality rates and average…
Growing America through entrepreneurship: Final evaluation of Project GATE. (Benus et al. 2009)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Growing America Through Entrepreneurship (Project GATE) demonstration project, which offered entrepreneurship training and business counseling…
Training program impacts and the onset of the Great Recession. [TAA sample] (Heinrich & Mueser 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine whether participation in the Trade Adjustment Assistance (TAA) Program services increased participants’ earnings and, if so, whether those gains were greater…
Rapid employment model evaluation: Update #2 (Smith et al 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of the Rapid Employment Model (REM) program on participants’ employment, earnings, and Unemployment Insurance (UI) benefit claims. (See the CLEAR…
Evaluating the effectiveness of the Massachusetts workforce development system using no-shows as a nonexperimental comparison group. (Raphael & Stoll 2006)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of the Job Training Partnership Act (JTPA) workforce development program in Massachusetts on the earnings of disadvantaged adults. The study used a…

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.