Causal Impact Analysis

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Displaying 261 - 270 of 1084

Spousal labor market effects from government health insurance: Evidence from a veterans affairs expansion (Boyle & Lahey, 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study examined the impact of the expansion of health insurance for veterans through the U.S. Department of Veterans Affairs (VA) in the mid-1990s (as a result of the implementation of the…
The effect of a severe health shock on work behavior: Evidence from different health care regimes (Gupta et al., 2015)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the national health policies of the United States and Denmark on employment of older workers after a health shock, defined as a new cancer or…
State age protection laws and the Age Discrimination in Employment Act (Lahey, 2008)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study examined the impact of enforcement of age discrimination laws on the employment and earnings of older male workers The author used a nonexperimental regression model and data from the…
Program Keluarga Harapan: Main findings from the impact evaluation of Indonesia’s pilot household conditional cash transfer program (World Bank 2011)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of a conditional cash transfer program, Program Keluarga Harapan (PKH), on child school and work participation. The study was a randomized controlled…
The effect of minimum wages on low-wage jobs (Cengiz et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of state minimum wage increases on employment. The authors used a difference-in-difference design to estimate the impacts of…
The impact of public scrutiny on executive compensation (Carrothers, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of Troubled Asset Relief Program (TARP) chief executive officer (CEO) compensation restrictions on the earnings…
Recruiting and retaining dental labor in federal facilities: Harder than pulling teeth? (Richards & Wang, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Health Care Personnel Enhancement Act’s (HCPEA) authorization of flexible, and potentially more generous, pay…
Mindfulness training improves employee well-being: A randomized controlled trial (Slutsky et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of a mindfulness training intervention on productivity and attitudes about attentional focus, job satisfaction,…
Estimation and inference of distributional partial effects: Theory and application (Shen, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of an increase in the state-level minimum wage on household earnings. The study is a nonexperimental comparison…
Do minimum wage increases affect SNAP benefits? (Snyder, Rinkevich, & Yuan, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of an increase in the minimum wage on federal Supplemental Nutrition Assistance Program (SNAP) enrollment and expenditures…

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.