The job search assistance topic area includes reviews of studies examining the effectiveness of job search assistance interventions, which aim to improve participants’ employment and earnings outcomes. CLEAR assessed the strength of causal evidence provided in each study and summarized each study’s design, methods, findings, and the intervention examined.
Job Search Assistance
Status: Literature reviewed in this topic area currently covers 1984 - 2012.
Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 11 - 18 of 18
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Texas Worker Adjustment Demonstration on the Unemployment Insurance (UI) receipt, employment, and earnings of UI claimants one year after…Study Type: Causal Impact Analysis
The study’s objective was to determine the impact of a more-stringent work test and enhanced employment services on Unemployment Insurance (UI) claimants’ benefits receipt and reemployment outcomes…Study Type: Causal Impact Analysis
The study estimated the effect of mandatory participation in a job search workshop for Unemployment Insurance (UI) recipients separated indefinitely from their previous employers. The study was a…Study Type: Causal Impact Analysis
The study’s objective was to examine the short-term impacts of the New Jersey Unemployment Insurance Reemployment Demonstration Project on the unemployment insurance (UI) receipt, employment, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the New Jersey Unemployment Insurance Reemployment Demonstration Project on the unemployment insurance (UI) receipt, employment, and earnings of UI…Study Type: Causal Impact Analysis
The study’s objective was to examine the long-term impacts of the New Jersey Unemployment Insurance Reemployment Demonstration Project on the unemployment insurance (UI) receipt, employment, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the Workforce Investment Act (WIA) Adult Program’s impact on workers’ employment and earnings in 12 states. The authors analyzed administrative data to compare…Study Type: Causal Impact Analysis
The study’s objective was to examine the Workforce Investment Act (WIA) Dislocated Worker Program’s impact on workers’ employment and earnings in 12 states. The authors analyzed administrative data…
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.