Living Systematic Annual Search and Review
- The systematic annual search and review (SASR) aims to ensure CLEAR includes the most up-to-date literature on topics of interest to CLEAR audiences, regardless of the size of the evidence base. To accomplish this, the SASR focuses on identifying labor-related research based on the time period it was released.
- The SASR follows a protocol to identify causal studies of a broad range of labor-related interventions—such as employment and training programs, unemployment services, workplace health and safety programs, employment benefits, workers’ compensation, and more— and assesses the quality of the evidence according to CLEAR’s causal evidence guidelines. The SASR considers as all causal studies on labor-related interventions to be eligible for review.
- Once reviewed, profiles summarizing and rating the studies are posted on CLEAR’s Systematic Annual Search webpage, and the relevant topic areas are updated with the latest evidence, as appropriate. All studies included in CLEAR’s database are searchable in the Search for Studies tab.
- CLEAR implements the SASR each year to find the latest research, and also runs other searches by specific time frames of interest, as resources allow.
Status: CLEAR is currently reviewing studies released between 2020 and 2022.
Recently Added
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the motion picture incentive (MPI) program on employment in the motion picture industry. The authors investigated similar research questions for…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the motion picture incentive (MPI) program on employment in the motion picture industry. The authors investigated similar research questions for…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the motion picture incentive (MPI) program on employment in the motion picture industry. The authors investigated similar research…Study Type: Causal Impact Analysis
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…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of state-level collective bargaining policies on public sector employees’ wages. Using data from the …Study Type: Causal Impact Analysis
The study's objective was to examine the impact of California's Paid Family Leave (CA-PFL) program on earnings and wages. This study used a quasi-experimental, triple difference-in-…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of tax increment financing (TIF) on employment in St. Louis, Missouri. The authors investigated similar research questions for Kansas City,…Study Type: Causal Impact Analysis
The objective of the study was to examine the impact of attending Early Colleges (ECs) on enrollment in postsecondary institutions and the likelihood of receiving a postsecondary degree. …Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Wisconsin PROMISE (Promoting the Readiness of Minors in Supplemental Security Income) on youth employment, earnings and wages, and education and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of professional coaching on physicians’ well-being outcomes. The study is a randomized controlled trial. Participants…
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.