Employer benefits receipt-Mod/high-Favorable impacts

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Displaying 1 - 8 of 8

Impact of Defaults in Retirement Saving Plans: Public Employee Plans (Clark, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study's objective was to examine the impact of automatic enrollment of new hires into a supplemental retirement savings plan (SRP) on participation in the first year. The study…
Evaluations of minimum wage and health insurance reform policies (Gooptu, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of the Patient Protection and Affordable Care Act’s (ACA) employer mandate on employer-sponsored insurance (ESI) coverage for low-income and less-…
Teaching self-sufficiency: An impact and benefit-cost analysis of a home visitation and life skills education program. Findings from the rural welfare-to-work strategies demonstration evaluation. (Meckstroth et al 2008)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Building Nebraska Families (BNF) rural welfare-to-work program on employment, earnings, and public benefit receipt. The authors randomly…
What will my account really be worth? An experiment on exponential growth bias and retirement saving (Goda et al. 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to determine how general or personalized information on projected retirement savings account balances and annual retirement income affects employees’ retirement savings…
Investing for retirement: The moderating effect of fund assortment size on the 1/n heuristic (Morrin et al. 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
Experiments using U.S. households The study’s objective was to examine whether increases in the number of funds offered in a retirement plan caused investors to allocate their contributions more…
Choice architecture and retirement savings plans (Benartzi et al. 2007)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The report’s objective was to examine the impact of choice architecture—that is, aspects of a savings plan’s structure and enrollment process—on 401(k) savings decisions. The authors discussed five…
The role of information and social interactions in retirement plan decisions: Evidence from a randomized experiment (Duflo & Saez 2003)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to determine the impact of receiving information about tax-deferred retirement accounts (TDAs) on enrollment in the accounts. The study used a randomized controlled trial (…
Conditional cash transfers in New York City: The continuing story of the Opportunity NYC—Family Rewards demonstration (Riccio et al. 2013)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of Family Rewards, an experimental privately funded conditional cash transfer program in New York City, on earnings, employment, public benefits…

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.