Causal Impact Analysis

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Displaying 271 - 280 of 1084

Small firms, bigger changes: Health insurance coverage take-up rates in small firms after the ACA (Kattih, Mansour, & Mixon, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Affordable Care Act of 2010 (ACA) on employee health insurance take-up rates. The study was a…
Caring for the elderly at work and home: Can a randomized organizational intervention improve psychological health? (Kossek et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the STAR intervention, designed to increase employees’ social support and sense of control over work and schedules, on perceived stress and…
Standing desks for sedentary occupations: Assessing changes in satisfaction and health outcomes after six months of use (Resendiz et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of standing desks on body mass index (BMI), waist circumference, and workplace satisfaction. The authors used a randomized controlled…
Tightened immigration policies and the self-employment dynamics of Mexican immigrants (Wang, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of immigration policies after September 11, 2001, on self-employment among Mexican immigrants. The study…
Impact of California’s safe patient handling legislation on musculoskeletal injury prevention among nurses (Lee et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of Safe Patient Handling (SPH) legislation in California (AB1136) on musculoskeletal injuries and prevention of these injuries among hospital…
Effectiveness of a no-cost-to-workers, slip-resistant footwear program for reducing slipping-related injuries in food service workers: a cluster randomized trial (Bell, Collins & Chiou, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The report's objective was to examine the impact of a no-cost-to-workers, slip-resistant footwear (SRF) program on slip-related work injuries. This study is a cluster-level randomized…
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…
Does individualizing the labor contract hurt women? (Cahen, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of state-level collective bargaining policies on public sector employees’ wages. Using data from the …
Supervisor support training effects on veteran health and work outcomes in the civilian workplace (Hammer et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of Veteran-Supportive Supervisor Training (VSST) on perceived health, functional impairment, job performance, and turnover…
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…

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.