Causal Impact Analysis

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Displaying 281 - 290 of 1084

Coping with emotional labor: An intervention study (Weaver, Allen, and Byrne, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of a workshop providing teachers with information about emotional labor and coping strategies on burnout, helpful coping skills, and unhelpful…
Managing laggards: The importance of a deep sales bench (Boichuk 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 disincentive program for low-performing salespeople known as a “bench program” on productivity. …
Returns to compensation in trucking: Does safety pay? (Faulkiner & Belzer, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of hiring experienced drivers and paying them higher wages, rather than hiring new drivers and paying lower wages, on continued employment at the…
Effectiveness of an energy management training course on employee well-being: a randomized controlled trial (Das et al. 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study's objective was to examine the impact of an employee well-being program on general health, mental health, physical functioning, role limitations due to emotional problems, role…
Using mindfulness to reduce occupational stress and burnout in music teachers: A randomized controlled trial (Varona, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of a mindfulness training program for music educators on occupational stress & burnout. This study was a randomized controlled trial…
Essays in education and labor economics (Boden 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of state ERA ratification on labor market outcomes for women. The authors used a difference-in-differences design to estimate the…
Three essays on labor and health economics (Jun, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study's objective was to examine the impact of the intervention on job mobility and compensation. This study uses a difference-in-difference design to compare the job mobility and…
The Effects of Work Life Policies: Teleworking and paid family leave (Chang, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of teleworking on job promotions. The other chapters of the study are linked here: Chapter 1: Does Allowing Employees to Work from Home Reduce…
The Effects of Work Life Policies: Teleworking and paid family leave (Chang, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of teleworking on job turnover rates. The other chapters of the study are linked here: Chapter 2: Moving Up the Ladder: Impact of Working from…
Three essays on immigration policy and labor market outcomes in the U.S. (Mukherjee, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the relationship between the extended length of time of the Optional Practical Training (OPT) program’s temporary work permit for foreign STEM graduates and…

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.