Causal Impact Analysis

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Displaying 291 - 300 of 1084

Reducing maternal labor market detachment: A role for paid family leave (Jones & Wilcher, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of New Jersey’s Family Leave Insurance Program (NJ-FLI) on labor force participation and other labor market outcomes for women with children. The…
Reducing maternal labor market detachment: A role for paid family leave (Jones & Wilcher, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of California’s Paid Family Leave Program (CA-PFL) on labor force participation and other labor market outcomes for women with children. The…
Assisting Unemployment Insurance claimants: The long-term impacts of the Job Search Assistance Demonstration (Decker et al. 2000)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Job Search Assistance Demonstration in Washington, D.C., and Florida on Unemployment Insurance (UI) benefits receipt, earnings, and employment…
Reducing compassion fatigue in inpatient pediatric oncology nurses (Sullivan et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of a self-care program for pediatric oncology nurses on burnout, secondary traumatic stress, and compassion satisfaction. The study used…
The long-term effects of California’s 2004 Paid Family Leave Act on women’s careers: Evidence from U.S. tax data (Bailey et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of California’s 2004 Paid Family Leave Act (PFLA) on take-up of paid leave, along with employment, wage earnings, and self-employment income for…
Early college continued success: Longer-term impact of early college high schools (Song & Zeiser, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
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. …
A training intervention to improve frontline construction leaders' safety leadership practices and overall jobsite safety climate (Schwatka et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of Foundations for Safety Leadership (FSL) training on supervisors’ leadership skills and jobsite safety practices of workers in a set of…
Do state corporate tax incentives create jobs? Quasi-experimental evidence from the entertainment industry (Thom, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
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…
Do state corporate tax incentives create jobs? Quasi-experimental evidence from the entertainment industry (Thom, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
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…
Do state corporate tax incentives create jobs? Quasi-experimental evidence from the entertainment industry (Thom, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
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…

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.